<?xml version='1.0' encoding='UTF-8'?><?xml-stylesheet href="http://www.blogger.com/styles/atom.css" type="text/css"?><feed xmlns='http://www.w3.org/2005/Atom' xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/' xmlns:georss='http://www.georss.org/georss' xmlns:gd='http://schemas.google.com/g/2005' xmlns:thr='http://purl.org/syndication/thread/1.0'><id>tag:blogger.com,1999:blog-7081491926031542554</id><updated>2012-02-16T01:47:24.809-08:00</updated><category term='eBook Data Warehouse'/><category term='eBook OOP'/><category term='Rekayasa Perangkat Lunak Dasar'/><category term='ANDA HARUS MEMBACA INI'/><category term='Algoritma dan Pemrograman I'/><category term='Software Collection&apos;s'/><category term='eBook PHP dan MySQL'/><category term='Dasar Pemrograman (OOP)'/><category term='Software&apos;s'/><category term='Renungan'/><category term='Unified Modeling Language (UML)'/><category term='KESEHATAN - Perlu Anda Baca'/><category term='Algoritma dan Struktur Data II'/><category term='eBook Java'/><category term='Teknik Informatika UPI YPTK Padang'/><category term='Data Mining'/><category term='SK Sistem Berbasis Pengetahuan'/><category term='Buku Referensi'/><category term='eBook MATLAB'/><category term='eBook Data Mining'/><category term='Customize'/><category term='Algoritma dan Pemrograman II'/><category term='Workshop Teknik Informatika UPI &quot;YPTK&quot; Padang'/><category term='eBook UML'/><title type='text'>Eka Praja Wiyata Mandala, S.Kom, M.Kom</title><subtitle type='html'></subtitle><link rel='http://schemas.google.com/g/2005#feed' type='application/atom+xml' href='http://ekaprajawm.blogspot.com/feeds/posts/default'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default?max-results=100'/><link rel='alternate' type='text/html' href='http://ekaprajawm.blogspot.com/'/><link rel='hub' href='http://pubsubhubbub.appspot.com/'/><author><name>Eka Praja Wiyata Mandala, S.Kom, M.Kom</name><uri>http://www.blogger.com/profile/07586923755631208807</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='22' height='32' src='http://3.bp.blogspot.com/_N3RxZg3GR34/TN6iokc4iVI/AAAAAAAAARw/aUlgLxwIuGs/S220/me6.png'/></author><generator version='7.00' uri='http://www.blogger.com'>Blogger</generator><openSearch:totalResults>37</openSearch:totalResults><openSearch:startIndex>1</openSearch:startIndex><openSearch:itemsPerPage>100</openSearch:itemsPerPage><entry><id>tag:blogger.com,1999:blog-7081491926031542554.post-1554192340866247692</id><published>2012-02-16T00:06:00.000-08:00</published><updated>2012-02-16T00:06:05.512-08:00</updated><category scheme='http://www.blogger.com/atom/ns#' term='Software Collection&apos;s'/><title type='text'>Installer Borland C++ 5.02</title><content type='html'>&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;a href="http://4.bp.blogspot.com/-bPVyCzfwtI0/Tzy4uCJPMqI/AAAAAAAAAmg/giGjmip4u68/s1600/borlandc++.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" src="http://4.bp.blogspot.com/-bPVyCzfwtI0/Tzy4uCJPMqI/AAAAAAAAAmg/giGjmip4u68/s1600/borlandc++.jpg" /&gt;&lt;/a&gt;&lt;/div&gt;&lt;a name='more'&gt;&lt;/a&gt;Klik link dibawah ini untuk download : &lt;br /&gt;&lt;a href="http://www.mediafire.com/?h3z93kdbb6pls03"&gt;http://www.mediafire.com/?h3z93kdbb6pls03&lt;/a&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7081491926031542554-1554192340866247692?l=ekaprajawm.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://ekaprajawm.blogspot.com/feeds/1554192340866247692/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ekaprajawm.blogspot.com/2012/02/installer-borland-c-502.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/1554192340866247692'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/1554192340866247692'/><link rel='alternate' type='text/html' href='http://ekaprajawm.blogspot.com/2012/02/installer-borland-c-502.html' title='Installer Borland C++ 5.02'/><author><name>Eka Praja Wiyata Mandala, S.Kom, M.Kom</name><uri>http://www.blogger.com/profile/07586923755631208807</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='22' height='32' src='http://3.bp.blogspot.com/_N3RxZg3GR34/TN6iokc4iVI/AAAAAAAAARw/aUlgLxwIuGs/S220/me6.png'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://4.bp.blogspot.com/-bPVyCzfwtI0/Tzy4uCJPMqI/AAAAAAAAAmg/giGjmip4u68/s72-c/borlandc++.jpg' height='72' width='72'/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7081491926031542554.post-1465963105030493705</id><published>2012-02-15T23:58:00.000-08:00</published><updated>2012-02-15T23:58:05.276-08:00</updated><category scheme='http://www.blogger.com/atom/ns#' term='Software Collection&apos;s'/><title type='text'>Installer XAMPP Windows 1.7.7</title><content type='html'>&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;a href="http://4.bp.blogspot.com/-oyvRL0O-jVs/Tzy2yRU_ZVI/AAAAAAAAAmY/41ap81mVZQs/s1600/xampp.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" src="http://4.bp.blogspot.com/-oyvRL0O-jVs/Tzy2yRU_ZVI/AAAAAAAAAmY/41ap81mVZQs/s1600/xampp.jpg" /&gt;&lt;/a&gt;&lt;/div&gt;&lt;br /&gt;&lt;br /&gt;&lt;a name='more'&gt;&lt;/a&gt;Klik link dibawah ini untuk download :&lt;br /&gt;&lt;br /&gt;&lt;a href="http://www.apachefriends.org/download.php?xampp-win32-1.7.7-VC9-installer.exe"&gt;http://www.apachefriends.org/download.php?xampp-win32-1.7.7-VC9-installer.exe&lt;/a&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7081491926031542554-1465963105030493705?l=ekaprajawm.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://ekaprajawm.blogspot.com/feeds/1465963105030493705/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ekaprajawm.blogspot.com/2012/02/installer-xampp-windows-177.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/1465963105030493705'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/1465963105030493705'/><link rel='alternate' type='text/html' href='http://ekaprajawm.blogspot.com/2012/02/installer-xampp-windows-177.html' title='Installer XAMPP Windows 1.7.7'/><author><name>Eka Praja Wiyata Mandala, S.Kom, M.Kom</name><uri>http://www.blogger.com/profile/07586923755631208807</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='22' height='32' src='http://3.bp.blogspot.com/_N3RxZg3GR34/TN6iokc4iVI/AAAAAAAAARw/aUlgLxwIuGs/S220/me6.png'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://4.bp.blogspot.com/-oyvRL0O-jVs/Tzy2yRU_ZVI/AAAAAAAAAmY/41ap81mVZQs/s72-c/xampp.jpg' height='72' width='72'/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7081491926031542554.post-2649587544715757205</id><published>2011-12-11T23:45:00.000-08:00</published><updated>2011-12-11T23:45:11.293-08:00</updated><category scheme='http://www.blogger.com/atom/ns#' term='SK Sistem Berbasis Pengetahuan'/><title type='text'>Materi Kuliah SK Sistem Berbasis Pengetahuan</title><content type='html'>&lt;a name='more'&gt;&lt;/a&gt;&lt;br /&gt;&lt;b&gt;Materi Kuliah SK Sistem Berbasi Pengetahuan Semester Ganjil 2011/2012 :&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Sistem Pakar | &lt;a href="http://www.mediafire.com/?87s6864ncbu3drw"&gt;Download&lt;/a&gt; |&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;b&gt;Silahkan Download dan Pelajari, Semoga Sukses !!!&lt;/b&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7081491926031542554-2649587544715757205?l=ekaprajawm.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://ekaprajawm.blogspot.com/feeds/2649587544715757205/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ekaprajawm.blogspot.com/2011/12/materi-kuliah-sk-sistem-berbasis.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/2649587544715757205'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/2649587544715757205'/><link rel='alternate' type='text/html' href='http://ekaprajawm.blogspot.com/2011/12/materi-kuliah-sk-sistem-berbasis.html' title='Materi Kuliah SK Sistem Berbasis Pengetahuan'/><author><name>Eka Praja Wiyata Mandala, S.Kom, M.Kom</name><uri>http://www.blogger.com/profile/07586923755631208807</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='22' height='32' src='http://3.bp.blogspot.com/_N3RxZg3GR34/TN6iokc4iVI/AAAAAAAAARw/aUlgLxwIuGs/S220/me6.png'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7081491926031542554.post-7708154420275920815</id><published>2011-11-09T17:57:00.000-08:00</published><updated>2011-11-09T18:24:43.148-08:00</updated><category scheme='http://www.blogger.com/atom/ns#' term='Data Mining'/><title type='text'>Data Mining : Association Rule - Algoritma Apriori</title><content type='html'>&lt;br /&gt;&lt;a name='more'&gt;&lt;/a&gt;&lt;span style="font-size: large;"&gt;&lt;/span&gt;&lt;br /&gt;&lt;div style="direction: ltr; margin-bottom: 0pt; margin-top: 0pt; text-align: left; unicode-bidi: embed; vertical-align: baseline;"&gt;&lt;u&gt;&lt;span style="font-size: large;"&gt;&lt;b&gt;&lt;span style="color: #1f497d; font-family: &amp;quot;Times New Roman&amp;quot;; font-style: italic;"&gt;Teknik Association Rule&lt;/span&gt;&lt;/b&gt;&lt;/span&gt;&lt;/u&gt;&lt;/div&gt;&lt;div style="direction: ltr; margin-bottom: 0pt; margin-top: 0pt; text-align: left; unicode-bidi: embed; vertical-align: baseline;"&gt;&lt;/div&gt;&lt;div style="direction: ltr; margin-bottom: 0pt; margin-top: 0pt; text-align: left; unicode-bidi: embed; vertical-align: baseline;"&gt;&lt;br /&gt;&lt;span style="font-size: large;"&gt;&lt;span style="color: #1f497d; font-family: &amp;quot;Times New Roman&amp;quot;; font-style: italic;"&gt;Association Rule&lt;/span&gt;&lt;/span&gt;&lt;span style="font-size: large;"&gt;&lt;span style="color: #1f497d; font-family: &amp;quot;Times New Roman&amp;quot;; font-style: italic;"&gt;&amp;nbsp; →&amp;nbsp; Penemuan Frequent Pattern, Asosiasi diantara sekumpulan item di dalam database&lt;/span&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="direction: ltr; margin-bottom: 0pt; margin-top: 0pt; text-align: left; unicode-bidi: embed; vertical-align: baseline;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;img alt="" height="60" src="data:image/png;base64,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" width="400" /&gt;&lt;span style="color: #1f497d; font-family: &amp;quot;Times New Roman&amp;quot;; font-size: 28pt; font-style: italic;"&gt;&amp;nbsp;&lt;/span&gt;&lt;br /&gt;&lt;span style="color: #1f497d; font-family: &amp;quot;Times New Roman&amp;quot;; font-size: 28pt; font-style: italic;"&gt;&amp;nbsp;&lt;/span&gt;&lt;br /&gt;&lt;div style="direction: ltr; margin-bottom: 0pt; margin-top: 0pt; text-align: left; unicode-bidi: embed; vertical-align: baseline;"&gt;&lt;b&gt;&lt;span style="font-size: large;"&gt;&lt;span style="color: #1f497d; font-family: &amp;quot;Times New Roman&amp;quot;; font-style: italic;"&gt;Konsep Dasar :&lt;/span&gt;&lt;/span&gt;&lt;/b&gt;&lt;/div&gt;&lt;div style="direction: ltr; margin-bottom: 0pt; margin-top: 0pt; text-align: left; unicode-bidi: embed; vertical-align: baseline;"&gt;&lt;/div&gt;&lt;div style="direction: ltr; margin-bottom: 0pt; margin-top: 0pt; text-align: left; unicode-bidi: embed; vertical-align: baseline;"&gt;&lt;br /&gt;&lt;b&gt;&lt;span style="font-size: large;"&gt;&lt;span style="color: #1f497d; font-family: &amp;quot;Times New Roman&amp;quot;; font-style: italic;"&gt;1. Support&lt;/span&gt;&lt;/span&gt;&lt;/b&gt;&lt;/div&gt;&lt;div style="direction: ltr; margin-bottom: 0pt; margin-top: 0pt; text-align: left; unicode-bidi: embed; vertical-align: baseline;"&gt;&lt;span style="font-size: large;"&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &amp;nbsp; &lt;img alt="" height="60" 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" 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width="400" /&gt;&lt;/span&gt;&lt;span style="color: black; font-family: Arial; font-size: large;"&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="direction: ltr; margin-bottom: 0pt; margin-top: 0pt; text-align: left; unicode-bidi: embed; vertical-align: baseline;"&gt;&lt;br /&gt;&lt;div style="direction: ltr; margin-bottom: 0pt; margin-top: 0pt; text-align: left; unicode-bidi: embed; vertical-align: baseline;"&gt;&lt;span style="font-size: large;"&gt;&lt;span style="color: #1f497d; font-family: &amp;quot;Times New Roman&amp;quot;; font-style: italic;"&gt;&amp;nbsp;&amp;nbsp; &amp;nbsp; &amp;nbsp; dimana :&lt;/span&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="direction: ltr; margin-bottom: 0pt; margin-top: 0pt; text-align: left; unicode-bidi: embed; vertical-align: baseline;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;img alt="" height="67" src="data:image/png;base64,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" width="400" /&gt;&lt;span style="color: #1f497d; font-family: &amp;quot;Times New Roman&amp;quot;; font-size: 28pt; font-style: italic;"&gt; &lt;/span&gt;&lt;/div&gt;&lt;/div&gt;&lt;span style="color: #1f497d; font-family: &amp;quot;Times New Roman&amp;quot;; font-size: 28pt; font-style: italic;"&gt; &lt;/span&gt;&lt;/div&gt;&lt;div style="direction: ltr; margin-bottom: 0pt; margin-top: 0pt; text-align: left; unicode-bidi: embed; vertical-align: baseline;"&gt;&lt;br /&gt;&lt;br /&gt;&lt;div style="direction: ltr; margin-bottom: 0pt; margin-top: 0pt; text-align: left; unicode-bidi: embed; vertical-align: baseline;"&gt;&lt;b&gt;&lt;span style="font-size: large;"&gt;&lt;span style="color: #1f497d; font-family: &amp;quot;Times New Roman&amp;quot;; font-style: italic;"&gt;3. Interesting Rule&lt;/span&gt;&lt;/span&gt;&lt;/b&gt;&lt;/div&gt;&lt;div style="direction: ltr; margin-bottom: 0pt; margin-top: 0pt; text-align: left; unicode-bidi: embed; vertical-align: baseline;"&gt;&lt;/div&gt;&lt;div style="direction: ltr; margin-bottom: 0pt; margin-top: 0pt; text-align: left; unicode-bidi: embed; vertical-align: baseline;"&gt;&lt;span style="font-size: large;"&gt;&lt;span style="color: #1f497d; font-family: &amp;quot;Times New Roman&amp;quot;; font-style: italic;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; Adalah rule dimana &lt;/span&gt;&lt;span style="color: #1f497d; font-family: &amp;quot;Times New Roman&amp;quot;; font-style: italic; font-weight: bold;"&gt;:&amp;nbsp;&lt;/span&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="direction: ltr; margin-bottom: 0pt; margin-top: 0pt; text-align: left; unicode-bidi: embed; vertical-align: baseline;"&gt;&lt;span style="font-size: large;"&gt;&lt;span style="color: #1f497d; font-family: &amp;quot;Times New Roman&amp;quot;; font-style: italic; font-weight: bold;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; Support&amp;nbsp; ≥&amp;nbsp;Minimum Support&lt;/span&gt;&lt;/span&gt;&lt;span style="font-size: large;"&gt;&lt;span style="color: #1f497d; font-family: &amp;quot;Times New Roman&amp;quot;; font-style: italic;"&gt; dan &lt;/span&gt;&lt;span style="color: #1f497d; font-family: &amp;quot;Times New Roman&amp;quot;; font-style: italic; font-weight: bold;"&gt;Confidence&amp;nbsp; ≥ Minimum Confidence&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;&lt;span style="font-size: large;"&gt;&lt;span style="color: #1f497d; font-family: &amp;quot;Times New Roman&amp;quot;; font-style: italic; font-weight: bold;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;&lt;div style="direction: ltr; margin-bottom: 0pt; margin-top: 0pt; text-align: left; unicode-bidi: embed; vertical-align: baseline;"&gt;&lt;span style="font-size: large;"&gt;&lt;u&gt;&lt;b&gt;&lt;span style="color: #1f497d; font-family: &amp;quot;Times New Roman&amp;quot;; font-style: italic;"&gt;Algoritma Association Rule (Apriori Algorithm)&lt;/span&gt;&lt;/b&gt;&lt;/u&gt;&lt;span style="color: black; font-family: Arial;"&gt;&lt;/span&gt;&lt;/span&gt;&lt;/div&gt;&lt;span style="font-size: large;"&gt;&lt;/span&gt;&lt;br /&gt;&lt;div style="direction: ltr; margin-bottom: 0pt; margin-left: 0.56in; margin-top: 0pt; text-align: left; text-indent: -0.56in; unicode-bidi: embed; vertical-align: baseline;"&gt;&lt;/div&gt;&lt;div style="direction: ltr; margin-bottom: 0pt; margin-left: 0.56in; margin-top: 0pt; text-align: left; text-indent: -0.56in; unicode-bidi: embed; vertical-align: baseline;"&gt;&lt;span style="font-size: large;"&gt;&lt;i&gt;1&lt;/i&gt;.&lt;span style="color: #1f497d; font-family: &amp;quot;Times New Roman&amp;quot;; font-style: italic;"&gt;&amp;nbsp; Menentukan Frequent Item Set (FIS) yaitu dengan&amp;nbsp; Set of Item (sekumpulan item) yang mana&lt;/span&gt;&lt;/span&gt;&lt;span style="font-size: large;"&gt;&lt;span style="color: #1f497d; font-family: &amp;quot;Times New Roman&amp;quot;; font-style: italic; font-weight: bold;"&gt; Support ≥ Minimum Support&lt;/span&gt;&lt;/span&gt;&lt;/div&gt;&lt;span style="font-size: large;"&gt;&lt;/span&gt;&lt;br /&gt;&lt;ul&gt;&lt;li&gt;&lt;span style="font-size: large;"&gt;&lt;span style="font-family: Arial;"&gt;&lt;/span&gt;&lt;span style="color: #1f497d; font-family: &amp;quot;Times New Roman&amp;quot;; font-style: italic;"&gt;Subset dari FrequentItem Set harus Frequent Item Set&lt;/span&gt;&lt;/span&gt;&lt;/li&gt;&lt;li&gt;&lt;span style="font-size: large;"&gt;&lt;span style="font-family: Arial;"&gt;&lt;/span&gt;&lt;span style="color: #1f497d; font-family: &amp;quot;Times New Roman&amp;quot;; font-style: italic;"&gt;Pencarian FrequentItem Set mulai dari &lt;/span&gt;&lt;span style="color: #1f497d; font-family: &amp;quot;Times New Roman&amp;quot;; font-style: italic; font-weight: bold;"&gt;1 item &lt;/span&gt;&lt;span style="color: #1f497d; font-family: &amp;quot;Times New Roman&amp;quot;; font-style: italic;"&gt;s/d&amp;nbsp; &lt;/span&gt;&lt;span style="color: #1f497d; font-family: &amp;quot;Times New Roman&amp;quot;; font-style: italic; font-weight: bold;"&gt;n itemset&lt;/span&gt;&lt;/span&gt;&lt;/li&gt;&lt;/ul&gt;&lt;span style="font-size: large;"&gt;&lt;/span&gt;&lt;br /&gt;&lt;div style="direction: ltr; language: id; margin-bottom: 0pt; margin-top: 0pt; text-align: left; unicode-bidi: embed; vertical-align: baseline;"&gt;&lt;span style="font-size: large;"&gt;&lt;span style="color: #1f497d; font-family: &amp;quot;Times New Roman&amp;quot;; font-style: italic;"&gt;2.&amp;nbsp;&amp;nbsp; Gunakan Frequent Item Setuntuk menghasilkan&amp;nbsp;Rule Asosiasi &lt;/span&gt;&lt;/span&gt;&lt;span style="color: #1f497d; font-family: &amp;quot;Times New Roman&amp;quot;; font-size: 28pt; font-style: italic; font-weight: bold;"&gt;&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7081491926031542554-7708154420275920815?l=ekaprajawm.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://ekaprajawm.blogspot.com/feeds/7708154420275920815/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ekaprajawm.blogspot.com/2011/11/data-mining-association-rule-algoritma.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/7708154420275920815'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/7708154420275920815'/><link rel='alternate' type='text/html' href='http://ekaprajawm.blogspot.com/2011/11/data-mining-association-rule-algoritma.html' title='Data Mining : Association Rule - Algoritma Apriori'/><author><name>Eka Praja Wiyata Mandala, S.Kom, M.Kom</name><uri>http://www.blogger.com/profile/07586923755631208807</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='22' height='32' src='http://3.bp.blogspot.com/_N3RxZg3GR34/TN6iokc4iVI/AAAAAAAAARw/aUlgLxwIuGs/S220/me6.png'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7081491926031542554.post-2619605955847153631</id><published>2011-11-07T23:07:00.000-08:00</published><updated>2011-11-07T23:07:54.490-08:00</updated><category scheme='http://www.blogger.com/atom/ns#' term='eBook Java'/><category scheme='http://www.blogger.com/atom/ns#' term='eBook OOP'/><category scheme='http://www.blogger.com/atom/ns#' term='eBook UML'/><title type='text'>Object Oriented Design With UML and Java</title><content type='html'>&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;a href="http://1.bp.blogspot.com/-BnkqLX2jHDs/TrjTmNOf5jI/AAAAAAAAAkQ/HHYKG29af1k/s1600/screenshot.121.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" height="320" src="http://1.bp.blogspot.com/-BnkqLX2jHDs/TrjTmNOf5jI/AAAAAAAAAkQ/HHYKG29af1k/s320/screenshot.121.jpg" width="216" /&gt;&lt;/a&gt;&lt;/div&gt;&lt;br /&gt;&lt;a name='more'&gt;&lt;/a&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;span style="font-size: large;"&gt;&lt;b&gt;Object Oriented Design With UML and Java&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: center;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: center;"&gt;&lt;b&gt;ABOUT THIS BOOK&lt;/b&gt;&lt;/div&gt;&lt;div style="text-align: center;"&gt;This book presents an introduction to Object-Oriented Design with the Uniﬁed Modelling Language and the Java Programming Language. The target audience for the book is undergraduate students in computing, computing science and software engineering. However, practising software professionals who wish to update their knowledge in this important area will also ﬁnd it of value.&lt;br /&gt;The text assumes no prior knowledge of object orientation on the part of the reader. However, some experience of the Java programming language is expected. The book is a basis for an academic course in which object-oriented design and the Java languageare jointly presented. Appendices F and G can be used as indicators of the level of Java programming skills required. They can also be used to add to the reader’s knowledge of Java programming&lt;b&gt; &lt;/b&gt;&lt;/div&gt;&lt;div style="text-align: center;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: center;"&gt;&lt;b&gt;CONTENT&lt;/b&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;1. Object Technology1&lt;br /&gt;2. Object-Oriented Analysis and Design&lt;/div&gt;&lt;div style="text-align: justify;"&gt;3. Implementing Objects with Java&lt;br /&gt;4. Case Study:A Library Application&lt;br /&gt;5. Specialization&lt;/div&gt;6. Case Study:The Library Application Revisited&lt;br /&gt;7. Graphical User Interfaces&lt;br /&gt;8. Design Patterns&lt;br /&gt;9. Case Study:A Final Review&lt;br /&gt;&lt;br /&gt;eBook Object Oriented Design With UML and Java | &lt;span style="color: red;"&gt;Uploding...&lt;/span&gt; |&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7081491926031542554-2619605955847153631?l=ekaprajawm.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://ekaprajawm.blogspot.com/feeds/2619605955847153631/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ekaprajawm.blogspot.com/2011/11/object-oriented-design-with-uml-and.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/2619605955847153631'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/2619605955847153631'/><link rel='alternate' type='text/html' href='http://ekaprajawm.blogspot.com/2011/11/object-oriented-design-with-uml-and.html' title='Object Oriented Design With UML and Java'/><author><name>Eka Praja Wiyata Mandala, S.Kom, M.Kom</name><uri>http://www.blogger.com/profile/07586923755631208807</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='22' height='32' src='http://3.bp.blogspot.com/_N3RxZg3GR34/TN6iokc4iVI/AAAAAAAAARw/aUlgLxwIuGs/S220/me6.png'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://1.bp.blogspot.com/-BnkqLX2jHDs/TrjTmNOf5jI/AAAAAAAAAkQ/HHYKG29af1k/s72-c/screenshot.121.jpg' height='72' width='72'/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7081491926031542554.post-7916566686705641290</id><published>2011-11-07T22:55:00.000-08:00</published><updated>2011-11-07T22:57:15.940-08:00</updated><category scheme='http://www.blogger.com/atom/ns#' term='eBook Data Mining'/><title type='text'>Data Mining : Practical Machine Learning Tools and Techniques</title><content type='html'>&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;a href="http://2.bp.blogspot.com/-lbHWRgbo_Kk/TrjQprJizsI/AAAAAAAAAkI/KtbKty3I3m0/s1600/screenshot.120.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" height="320" src="http://2.bp.blogspot.com/-lbHWRgbo_Kk/TrjQprJizsI/AAAAAAAAAkI/KtbKty3I3m0/s320/screenshot.120.jpg" width="258" /&gt;&lt;/a&gt;&lt;/div&gt;&lt;br /&gt;&lt;a name='more'&gt;&lt;/a&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;b&gt;&lt;span style="font-size: large;"&gt;Data Mining : Practical Machine Learning Tools and Techniques&lt;/span&gt;&lt;/b&gt;&lt;/div&gt;&lt;div style="text-align: center;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: center;"&gt;&lt;b&gt;ABOUT THIS BOOK&lt;/b&gt;&lt;/div&gt;&lt;div style="text-align: center;"&gt;This book presents this new discipline in a very accessible form:as a text both to train the next generation ofpractitioners and researchers and to inform lifelong learners like myself.Witten and Frank have a passion for simple and elegant solutions.They approach each topic with this mindset,grounding all concepts in concrete examples,and urging the reader to consider the simple techniques ﬁrst,and then progress to the more sophisticated ones ifthe simple ones prove inadequate.&lt;br /&gt;Ifyou are interested in databases,and have not been following the machine learning ﬁeld,this book is a great way to catch up on this exciting progress.If you have data that you want to analyze and understand,this book and the associated Weka toolkit are an excellent way to start&lt;b&gt; &lt;/b&gt;&lt;/div&gt;&lt;div style="text-align: center;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: center;"&gt;&lt;b&gt;CONTENTS&lt;/b&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Part I&amp;nbsp; Machine learning tools and techniques&lt;/b&gt;&lt;br /&gt;1. What’s it all about? &lt;/div&gt;&lt;div style="text-align: justify;"&gt;2. Input: Concepts, instances, and attributes&lt;/div&gt;&lt;div style="text-align: justify;"&gt;3. Output: Knowledge representation&lt;/div&gt;&lt;div style="text-align: justify;"&gt;4. Algorithms: The basic methods&lt;/div&gt;&lt;div style="text-align: justify;"&gt;5. Credibility: Evaluating what’s been learned&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;6. Implementations: Real machine learning schemes&lt;/div&gt;&lt;div style="text-align: justify;"&gt;7. Transformations: Engineering the input and output&lt;/div&gt;&lt;div style="text-align: justify;"&gt;8. Moving on: Extensions and applications&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Part II&amp;nbsp; The Weka machine learning workbench&lt;/b&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;9. Introduction to Weka&lt;/div&gt;&lt;div style="text-align: justify;"&gt;10. The Explorer&lt;/div&gt;&lt;div style="text-align: justify;"&gt;11. The Knowledge Flow interface&lt;br /&gt;12. The Experimenter&lt;/div&gt;&lt;div style="text-align: justify;"&gt;13. The command-line interface&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;14. Embedded machine learning&lt;/div&gt;&lt;div style="text-align: justify;"&gt;15. Writing new learning schemes&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;Data Mining : Practical Machine Learning Tools and Techniques&amp;nbsp; | &lt;span style="color: red;"&gt;Uploading...&lt;/span&gt; |&lt;/div&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7081491926031542554-7916566686705641290?l=ekaprajawm.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://ekaprajawm.blogspot.com/feeds/7916566686705641290/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ekaprajawm.blogspot.com/2011/11/data-mining-practical-machine-learning.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/7916566686705641290'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/7916566686705641290'/><link rel='alternate' type='text/html' href='http://ekaprajawm.blogspot.com/2011/11/data-mining-practical-machine-learning.html' title='Data Mining : Practical Machine Learning Tools and Techniques'/><author><name>Eka Praja Wiyata Mandala, S.Kom, M.Kom</name><uri>http://www.blogger.com/profile/07586923755631208807</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='22' height='32' src='http://3.bp.blogspot.com/_N3RxZg3GR34/TN6iokc4iVI/AAAAAAAAARw/aUlgLxwIuGs/S220/me6.png'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://2.bp.blogspot.com/-lbHWRgbo_Kk/TrjQprJizsI/AAAAAAAAAkI/KtbKty3I3m0/s72-c/screenshot.120.jpg' height='72' width='72'/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7081491926031542554.post-4499691459128776106</id><published>2011-11-07T18:37:00.000-08:00</published><updated>2011-11-07T18:37:41.886-08:00</updated><category scheme='http://www.blogger.com/atom/ns#' term='eBook MATLAB'/><title type='text'>MATLAB DeMYSTiFieD</title><content type='html'>&lt;div style="text-align: center;"&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;a href="http://3.bp.blogspot.com/_N3RxZg3GR34/TTfblBHwGCI/AAAAAAAAAcY/Ur2_j1GKNM0/s1600/screenshot.197.jpg" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" height="320" src="http://3.bp.blogspot.com/_N3RxZg3GR34/TTfblBHwGCI/AAAAAAAAAcY/Ur2_j1GKNM0/s1600/screenshot.197.jpg" width="253" /&gt;&amp;nbsp;&lt;/a&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;a name='more'&gt;&lt;/a&gt;&amp;nbsp;&lt;span style="font-size: large;"&gt;&lt;b&gt;MATLAB DeMYSTiFieD&lt;/b&gt;&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;&lt;span style="font-size: large;"&gt;&lt;b&gt;&lt;span style="font-size: small;"&gt;ABOUT THIS BOOK&lt;/span&gt;&lt;/b&gt;&lt;/span&gt;&lt;br /&gt;&lt;span style="font-size: large;"&gt;&lt;span style="font-size: small;"&gt;Now a word about this particular book. This book is aimed squarely at the MATLAB beginner. The purpose is not to wow experts with complicated solutions built with MATLAB. Rather, the purpose of this book is to introduce a person new to MATLAB to the world of computational mathematics. The approach taken here is to set about learning how to use MATLAB to do some basic things-plot functions, solve algebraic equations, compute integrals and solve differential equations for example. So the examples we present in this book are going to be simple and aimed at the novice. If you have never touched MATLAB before or are having lot’s of trouble with it, this book will help you build a basic skill set that can be used to master it. The book is a stepping stone to mastery and nothing more&lt;/span&gt;&lt;b&gt;&lt;span style="font-size: small;"&gt;&amp;nbsp;&lt;/span&gt;&lt;/b&gt;&lt;/span&gt;&lt;br /&gt;&lt;span style="font-size: large;"&gt;&lt;b&gt;&lt;/b&gt;&lt;/span&gt;&lt;br /&gt;&lt;span style="font-size: large;"&gt;&lt;b&gt;&amp;nbsp;&lt;/b&gt;&lt;span style="font-size: small;"&gt;&lt;b&gt;&amp;nbsp;&lt;/b&gt;&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;span style="font-size: large;"&gt;&lt;span style="font-size: small;"&gt;&lt;b&gt;CONTENTS&lt;/b&gt;&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;&lt;span style="font-size: small;"&gt;Preface&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;span style="font-size: large;"&gt;&lt;span style="font-size: small;"&gt;Acknowledgments&lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;span style="font-size: large;"&gt;&lt;span style="font-size: small;"&gt;CHAPTER 1&amp;nbsp; The MATLAB Environment &lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;span style="font-size: large;"&gt;&lt;span style="font-size: small;"&gt;&lt;/span&gt;&lt;/span&gt;&lt;span style="font-size: large;"&gt;&lt;span style="font-size: small;"&gt;CHAPTER 2&amp;nbsp; Vectors and Matrices &lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;span style="font-size: large;"&gt;&lt;span style="font-size: small;"&gt;&lt;/span&gt;&lt;/span&gt;&lt;span style="font-size: large;"&gt;&lt;span style="font-size: small;"&gt;CHAPTER 3&amp;nbsp; Plotting and Graphics&amp;nbsp; &lt;/span&gt;&lt;/span&gt;&lt;br /&gt;&lt;span style="font-size: large;"&gt;&lt;span style="font-size: small;"&gt;&lt;/span&gt;&lt;/span&gt;&lt;span style="font-size: large;"&gt;&lt;span style="font-size: small;"&gt;CHAPTER 4&amp;nbsp; Statistics and an Introduction to Programming in MATLAB&lt;/span&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;CHAPTER 5&amp;nbsp; Solving Algebraic Equations and Other Symbolic Tools &lt;br /&gt;&lt;span style="font-size: large;"&gt;&lt;span style="font-size: small;"&gt;&lt;/span&gt;&lt;/span&gt;&lt;span style="font-size: large;"&gt;&lt;span style="font-size: small;"&gt;CHAPTER 6&amp;nbsp; Basic Symbolic Calculus and &lt;/span&gt;&lt;/span&gt;Differential Equations&amp;nbsp;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;CHAPTER 7&amp;nbsp; Numerical Solution of ODEs&lt;br /&gt;&lt;span style="font-size: large;"&gt;&lt;span style="font-size: small;"&gt;&lt;/span&gt;&lt;/span&gt;&lt;span style="font-size: large;"&gt;&lt;span style="font-size: small;"&gt;CHAPTER 8&amp;nbsp; Integration&amp;nbsp;&lt;/span&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;CHAPTER 9&amp;nbsp; Transforms&amp;nbsp; &lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;&lt;span style="font-size: small;"&gt;CHAPTER 10&amp;nbsp; Curve Fitting&amp;nbsp;&amp;nbsp;&lt;/span&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;&lt;span style="font-size: small;"&gt;CHAPTER 11&amp;nbsp; Working with Special Functions&amp;nbsp;&amp;nbsp;&lt;/span&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;&lt;span style="font-size: small;"&gt;APPENDIX&amp;nbsp; Bibliography and References &lt;/span&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;&lt;span style="font-size: small;"&gt;Final Exam&lt;/span&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;&lt;span style="font-size: small;"&gt;Answers to Quiz and Exam Questions &lt;br /&gt;Index&lt;/span&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;&lt;span style="font-size: small;"&gt;eBook&amp;nbsp; MATLAB DeMYSTiFieD | &lt;a href="http://199.91.152.81/heb5vr42e1ug/11lauhwnmfw70u9/MATLAB+DeMYSTiFieD+-+www.ekaprajawm.co.cc.pdf"&gt;Download&lt;/a&gt; |&lt;/span&gt;&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7081491926031542554-4499691459128776106?l=ekaprajawm.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://ekaprajawm.blogspot.com/feeds/4499691459128776106/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ekaprajawm.blogspot.com/2011/11/matlab-demystified.html#comment-form' title='1 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/4499691459128776106'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/4499691459128776106'/><link rel='alternate' type='text/html' href='http://ekaprajawm.blogspot.com/2011/11/matlab-demystified.html' title='MATLAB DeMYSTiFieD'/><author><name>Eka Praja Wiyata Mandala, S.Kom, M.Kom</name><uri>http://www.blogger.com/profile/07586923755631208807</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='22' height='32' src='http://3.bp.blogspot.com/_N3RxZg3GR34/TN6iokc4iVI/AAAAAAAAARw/aUlgLxwIuGs/S220/me6.png'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://3.bp.blogspot.com/_N3RxZg3GR34/TTfblBHwGCI/AAAAAAAAAcY/Ur2_j1GKNM0/s72-c/screenshot.197.jpg' height='72' width='72'/><thr:total>1</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7081491926031542554.post-963608167846647792</id><published>2011-11-07T18:12:00.000-08:00</published><updated>2011-11-07T18:22:23.950-08:00</updated><category scheme='http://www.blogger.com/atom/ns#' term='eBook PHP dan MySQL'/><title type='text'>PHP &amp; MySQL FOR DUMMIES</title><content type='html'>&lt;div style="text-align: center;"&gt;&lt;a href="http://2.bp.blogspot.com/_N3RxZg3GR34/TTfRGuabOVI/AAAAAAAAAbI/cTxGJs9Ui_o/s1600/screenshot.177.jpg" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" height="320" src="http://2.bp.blogspot.com/_N3RxZg3GR34/TTfRGuabOVI/AAAAAAAAAbI/cTxGJs9Ui_o/s320/screenshot.177.jpg" width="253" /&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;div style="text-align: center;"&gt;&lt;br /&gt;&lt;a name='more'&gt;&lt;/a&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: center;"&gt;&lt;span style="font-size: large;"&gt;&lt;b&gt;PHP &amp;amp; MySQL FOR DUMMIES&lt;/b&gt;&lt;/span&gt; &lt;/div&gt;&lt;div style="text-align: center;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: center;"&gt;&lt;b&gt;About This Book&lt;/b&gt;&lt;br /&gt;Think of this book as your friendly guide to building a Web database application. This book is designed as a reference, not as a tutorial, so you don’t have to read it from cover to cover. You can start reading at any point — in Chapter 1, Chapter 9, wherever. I divide the task of building a Web database application into manageable chunks of information, so check out the table of contents and locate the topic that you’re interested in. If you need to know information from another chapter to understand the chapter you’re reading, Ireference that chapter number.&lt;/div&gt;&lt;div style="text-align: center;"&gt;Here’s a sample of the topics I discuss:&lt;/div&gt;&lt;blockquote class="tr_bq"&gt;&lt;blockquote class="tr_bq"&gt;&lt;blockquote class="tr_bq"&gt;&lt;ul&gt;&lt;li&gt;Building and using a MySQL database&lt;/li&gt;&lt;li&gt;Adding PHP to HTML files&lt;/li&gt;&lt;li&gt;Using the features of the PHP language&lt;/li&gt;&lt;li&gt;Using HTML forms to collect information from users&lt;/li&gt;&lt;li&gt;Showing information from a database in a Web page&lt;/li&gt;&lt;li&gt;Storing information in a database &lt;/li&gt;&lt;/ul&gt;&lt;/blockquote&gt;&lt;/blockquote&gt;&lt;/blockquote&gt;&lt;div style="text-align: center;"&gt;&lt;/div&gt;&lt;div style="text-align: center;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: center;"&gt;&lt;b&gt;Contents at a Glance&lt;/b&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Introduction&lt;/b&gt;&lt;br /&gt;&lt;b&gt;Part I: Developing a Web Database Application Using PHP and MySQL&lt;/b&gt;&lt;br /&gt;Chapter 1: Introduction to PHP and MySQL&lt;br /&gt;Chapter 2: Setting Up Your Work Environment&lt;br /&gt;Chapter 3: Developing a Web Database Application&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Part II: MySQL Database&lt;/b&gt;&lt;br /&gt;Chapter 4: Building the Database&lt;br /&gt;Chapter 5: Protecting Your Data&lt;br /&gt;&lt;b&gt;Part III: PHP&lt;/b&gt;&lt;br /&gt;Chapter 6: General PHP&lt;br /&gt;Chapter 7: PHP Building Blocks for Programs&lt;br /&gt;Chapter 8: Data In, Data Out&lt;/div&gt;&lt;div style="text-align: justify;"&gt;Chapter 9: Moving Information from One Web Page to the Next&lt;br /&gt;&lt;b&gt;Part IV: Applications&lt;/b&gt;&lt;br /&gt;Chapter 10: Putting It All Together&lt;br /&gt;Chapter 11: Building an Online Catalog&lt;br /&gt;Chapter 12: Building a Members Only Web Site&lt;br /&gt;&lt;b&gt;Part V: The Part of Tens&lt;/b&gt;&lt;br /&gt;Chapter 13: Ten Things You Might Want to Do Using PHP Functions&lt;br /&gt;Chapter 14: Ten PHP Gotchas&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Part VI: Appendixes&lt;/b&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;Appendix A: Installing MySQL&lt;br /&gt;Appendix B: Installing PHP&lt;br /&gt;Appendix C: Installing andConfiguring Apache&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Index&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;eBook PHP &amp;amp; MySQL FOR DUMMIES | &lt;a href="http://199.91.152.88/ql6opu6b3aeg/3etsrcncgck9x8h/PHP+%26+MySQL+FOR+DUMMIES+-+www.ekaprajawm.co.cc.pdf"&gt;Download&lt;/a&gt; | &lt;b&gt;&lt;br /&gt;&lt;/b&gt;&lt;/div&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7081491926031542554-963608167846647792?l=ekaprajawm.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://ekaprajawm.blogspot.com/feeds/963608167846647792/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ekaprajawm.blogspot.com/2011/11/php-mysql-for-dummies.html#comment-form' title='1 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/963608167846647792'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/963608167846647792'/><link rel='alternate' type='text/html' href='http://ekaprajawm.blogspot.com/2011/11/php-mysql-for-dummies.html' title='PHP &amp; MySQL FOR DUMMIES'/><author><name>Eka Praja Wiyata Mandala, S.Kom, M.Kom</name><uri>http://www.blogger.com/profile/07586923755631208807</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='22' height='32' src='http://3.bp.blogspot.com/_N3RxZg3GR34/TN6iokc4iVI/AAAAAAAAARw/aUlgLxwIuGs/S220/me6.png'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://2.bp.blogspot.com/_N3RxZg3GR34/TTfRGuabOVI/AAAAAAAAAbI/cTxGJs9Ui_o/s72-c/screenshot.177.jpg' height='72' width='72'/><thr:total>1</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7081491926031542554.post-7759629629218939950</id><published>2011-11-06T21:26:00.000-08:00</published><updated>2011-11-07T17:58:39.550-08:00</updated><category scheme='http://www.blogger.com/atom/ns#' term='eBook UML'/><title type='text'>UML DeMYSTiFieD</title><content type='html'>&lt;div style="text-align: center;"&gt;&lt;br /&gt;&lt;a href="http://1.bp.blogspot.com/_N3RxZg3GR34/TTftC9ocWUI/AAAAAAAAAdc/cHMToerksFU/s1600/screenshot.214.jpg" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" src="http://1.bp.blogspot.com/_N3RxZg3GR34/TTftC9ocWUI/AAAAAAAAAdc/cHMToerksFU/s1600/screenshot.214.jpg" /&gt;&lt;/a&gt;&lt;br /&gt;&lt;br /&gt;&lt;a name='more'&gt;&lt;/a&gt;&amp;nbsp;&lt;b&gt;&lt;span style="font-size: large;"&gt;UML DeMYSTiFieD&lt;/span&gt;&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;&lt;b&gt;eBook Description&lt;/b&gt;&lt;br /&gt;UML DeMystified is written in simple prose and designed to make the UML practical and an effective tool for communicating software analysis and design. There are many books on process and the UML does not define a process. However, this book is organized in such a manner that if you create the kinds of models as&lt;br /&gt;needed in the order in which they appear in this book, then you have a practical beginning of a usable process.&lt;br /&gt;UML DeMystified is a modest-sized book but it is a compilation of more than a dozen years of practical experience working with some of the largest and best known companies in the world as well as many well-known smaller companies, and the UML described in this book is pragmatic, practical, and applicable whether you are building small, medium, or very large applications. In short, UML DeMystified&lt;br /&gt;leaves the ivory tower fluff and rigor to other texts and tells you what you need to know to successfully use the UML to describe software.&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;div style="text-align: left;"&gt;CHAPTER 1&amp;nbsp;&amp;nbsp; A Picture Is Worth a Thousand Lines of Code 1&lt;br /&gt;CHAPTER 2&amp;nbsp;&amp;nbsp; Start at the Beginning with Use Cases 17&lt;br /&gt;CHAPTER 3&amp;nbsp;&amp;nbsp; Diagramming Features as Processes&lt;br /&gt;CHAPTER 4&amp;nbsp;&amp;nbsp; Discovering Behaviors with Interaction Diagrams&lt;br /&gt;CHAPTER 5&amp;nbsp;&amp;nbsp; What Are the Things That Describe My Problem?&lt;br /&gt;CHAPTER 6&amp;nbsp;&amp;nbsp; Showing How Classes Are Related&lt;br /&gt;CHAPTER 7&amp;nbsp;&amp;nbsp; Using State Chart Diagrams&lt;br /&gt;CHAPTER 8&amp;nbsp;&amp;nbsp; Modeling Components&lt;br /&gt;CHAPTER 9&amp;nbsp;&amp;nbsp; Fit and Finish&lt;br /&gt;CHAPTER 10&amp;nbsp;&amp;nbsp; Visualizing Your Deployment Topology&lt;br /&gt;APPENDIX A&amp;nbsp;&amp;nbsp; Final Exam&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: left;"&gt;eBook&amp;nbsp; UML DeMYSTiFieD&amp;nbsp; | &lt;a href="http://199.91.152.211/8dcm8bercgjg/jd6vx4pcyb1lhxa/UML+DeMYSTiFieD+-+www.ekaprajawm.co.cc.pdf"&gt;Download&lt;/a&gt; |&lt;/div&gt;&lt;/div&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7081491926031542554-7759629629218939950?l=ekaprajawm.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://ekaprajawm.blogspot.com/feeds/7759629629218939950/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ekaprajawm.blogspot.com/2011/11/uml-demystified.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/7759629629218939950'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/7759629629218939950'/><link rel='alternate' type='text/html' href='http://ekaprajawm.blogspot.com/2011/11/uml-demystified.html' title='UML DeMYSTiFieD'/><author><name>Eka Praja Wiyata Mandala, S.Kom, M.Kom</name><uri>http://www.blogger.com/profile/07586923755631208807</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='22' height='32' src='http://3.bp.blogspot.com/_N3RxZg3GR34/TN6iokc4iVI/AAAAAAAAARw/aUlgLxwIuGs/S220/me6.png'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://1.bp.blogspot.com/_N3RxZg3GR34/TTftC9ocWUI/AAAAAAAAAdc/cHMToerksFU/s72-c/screenshot.214.jpg' height='72' width='72'/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7081491926031542554.post-390015027118865937</id><published>2011-11-03T19:37:00.000-07:00</published><updated>2011-11-06T18:29:38.504-08:00</updated><category scheme='http://www.blogger.com/atom/ns#' term='eBook Data Mining'/><title type='text'>The Top Ten Algorithms in Data Mining</title><content type='html'>&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;a href="http://4.bp.blogspot.com/-5FIUP2V9HX4/TrNOfsyaB9I/AAAAAAAAAkA/UWjfEaxWQGw/s1600/1420089641.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" height="320" src="http://4.bp.blogspot.com/-5FIUP2V9HX4/TrNOfsyaB9I/AAAAAAAAAkA/UWjfEaxWQGw/s320/1420089641.jpg" width="202" /&gt;&lt;/a&gt;&lt;/div&gt;&lt;b&gt;&lt;/b&gt;&lt;br /&gt;&lt;a name='more'&gt;&lt;/a&gt;&lt;br /&gt;&lt;span style="font-size: large;"&gt;&lt;b&gt;The Top Ten Algorithms in Data Mining&amp;nbsp;&lt;/b&gt;&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;&lt;span style="font-size: small;"&gt;&lt;b&gt;Contents :&lt;/b&gt;&lt;/span&gt;&lt;br /&gt;&amp;nbsp;&amp;nbsp; 1.&amp;nbsp; C 4.5&lt;br /&gt;&amp;nbsp;&amp;nbsp; 2.&amp;nbsp; K-Means&lt;br /&gt;&amp;nbsp;&amp;nbsp; 3.&amp;nbsp; SVM : Support Vector Machines &lt;br /&gt;&amp;nbsp;&amp;nbsp; 4.&amp;nbsp; Apriori&lt;br /&gt;&amp;nbsp;&amp;nbsp; 5.&amp;nbsp; EM &lt;br /&gt;&amp;nbsp;&amp;nbsp; 6.&amp;nbsp; Page Rank&lt;br /&gt;&amp;nbsp;&amp;nbsp; 7.&amp;nbsp; Ada Boost&lt;br /&gt;&amp;nbsp;&amp;nbsp; 8.&amp;nbsp; kNN: k-Nearest Neighbors &lt;br /&gt;&amp;nbsp;&amp;nbsp; 9.&amp;nbsp; Naıve Bayes&lt;br /&gt;&amp;nbsp;&amp;nbsp; 10. CART : Classiﬁcation and Regression Trees&lt;br /&gt;&lt;br /&gt;Download E-Book lengkapnya disini !!!&lt;b&gt;&amp;nbsp;&lt;/b&gt; | &lt;a href="http://download1022.mediafire.com/sbkqigiig6jg/hzoi0uh3qc37z24/The+Top+Ten+Algorithms+in+Data+Mining+www.ekaprajawm.co.cc.rar"&gt;Download&lt;/a&gt; | &lt;b&gt;&lt;br /&gt;&lt;/b&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7081491926031542554-390015027118865937?l=ekaprajawm.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://ekaprajawm.blogspot.com/feeds/390015027118865937/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ekaprajawm.blogspot.com/2011/11/e-book-top-ten-algorithms-in-data.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/390015027118865937'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/390015027118865937'/><link rel='alternate' type='text/html' href='http://ekaprajawm.blogspot.com/2011/11/e-book-top-ten-algorithms-in-data.html' title='The Top Ten Algorithms in Data Mining'/><author><name>Eka Praja Wiyata Mandala, S.Kom, M.Kom</name><uri>http://www.blogger.com/profile/07586923755631208807</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='22' height='32' src='http://3.bp.blogspot.com/_N3RxZg3GR34/TN6iokc4iVI/AAAAAAAAARw/aUlgLxwIuGs/S220/me6.png'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://4.bp.blogspot.com/-5FIUP2V9HX4/TrNOfsyaB9I/AAAAAAAAAkA/UWjfEaxWQGw/s72-c/1420089641.jpg' height='72' width='72'/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7081491926031542554.post-4930662468069571190</id><published>2011-10-06T21:28:00.000-07:00</published><updated>2011-12-11T23:35:16.371-08:00</updated><category scheme='http://www.blogger.com/atom/ns#' term='Algoritma dan Struktur Data II'/><title type='text'>Materi Kuliah Algoritma dan Struktur Data II</title><content type='html'>&lt;a name='more'&gt;&lt;/a&gt;&lt;br /&gt;&lt;b&gt;Materi Kuliah Algoritma dan Struktur Data II Semester Ganjil 2011/2012 :&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;01. Array | &lt;a href="http://www.mediafire.com/download.php?gw4g6fy4sgfs6ac"&gt;Download&lt;/a&gt; |&lt;br /&gt;02. Fungsi | &lt;a href="http://www.mediafire.com/download.php?2m68hzkg9xdwwc0"&gt;Download&lt;/a&gt; |&lt;br /&gt;03. Struktur dan File Data&amp;nbsp; | &lt;a href="http://www.mediafire.com/download.php?mfthtsephprhecj"&gt;Download&lt;/a&gt; | dan | &lt;a href="http://www.mediafire.com/download.php?s2a56sc2s43w74k"&gt;Download&lt;/a&gt; |&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;b&gt;Latihan per Pertemuan Mata Kuliah &lt;/b&gt;&lt;b&gt;Algoritma dan Struktur Data II&lt;/b&gt;&lt;b&gt; Semester Ganjil 2011/2012 :&lt;/b&gt; &lt;br /&gt;&lt;br /&gt;01. Pertemuan 01 &amp;nbsp; | &lt;a href="http://www.mediafire.com/download.php?9xb1jebb1rafctm"&gt;Download&lt;/a&gt; |&lt;br /&gt;02. Pertemuan 02&amp;nbsp;&amp;nbsp; | &lt;a href="http://www.mediafire.com/download.php?1t333c7wk5d4hqm"&gt;Download&lt;/a&gt; |&lt;br /&gt;03. Pertemuan 03&amp;nbsp;&amp;nbsp; | &lt;a href="http://www.mediafire.com/download.php?9bybl30b2wakr34"&gt;Download&lt;/a&gt; |&lt;br /&gt;04. Pertemuan 04&amp;nbsp; dan&amp;nbsp; 05&amp;nbsp;&amp;nbsp; | &lt;a href="http://www.mediafire.com/download.php?rp3z8vlqxxa0hgf"&gt;Download&lt;/a&gt; |&lt;br /&gt;06. Pertemuan 06&amp;nbsp;&amp;nbsp; | &lt;a href="http://www.mediafire.com/download.php?cogmr0dd5t8jv2d"&gt;Download&lt;/a&gt; |&lt;br /&gt;07. Pertemuan 07&amp;nbsp;&amp;nbsp; | &lt;a href="http://www.mediafire.com/download.php?5iju9af1ezrybf7"&gt;Download&lt;/a&gt; |&lt;br /&gt;&lt;br /&gt;08. Pertemuan 10 &amp;nbsp; | &lt;a href="http://www.mediafire.com/download.php?0vqlny4lcn39saj"&gt;Download&lt;/a&gt; |&lt;br /&gt;09. Pertemuan 11 &amp;nbsp; | &lt;a href="http://www.mediafire.com/download.php?qg1x951keng0ynv"&gt;Download&lt;/a&gt; |&lt;br /&gt;10. Pertemuan 12 - 13 &amp;nbsp; | &lt;a href="http://www.mediafire.com/download.php?jjsccek4ertlriw"&gt;Download&lt;/a&gt; |&lt;br /&gt;11. Pertemuan 14 - Quiz &amp;nbsp; | &lt;a href="http://www.mediafire.com/download.php?hi8y1282tx5k5by"&gt;Download&lt;/a&gt; |&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;b&gt;Silahkan Download dan Pelajari, Semoga Sukses !!!&lt;/b&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7081491926031542554-4930662468069571190?l=ekaprajawm.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://ekaprajawm.blogspot.com/feeds/4930662468069571190/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ekaprajawm.blogspot.com/2011/10/materi-kuliah-algoritma-dan-struktur.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/4930662468069571190'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/4930662468069571190'/><link rel='alternate' type='text/html' href='http://ekaprajawm.blogspot.com/2011/10/materi-kuliah-algoritma-dan-struktur.html' title='Materi Kuliah Algoritma dan Struktur Data II'/><author><name>Eka Praja Wiyata Mandala, S.Kom, M.Kom</name><uri>http://www.blogger.com/profile/07586923755631208807</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='22' height='32' src='http://3.bp.blogspot.com/_N3RxZg3GR34/TN6iokc4iVI/AAAAAAAAARw/aUlgLxwIuGs/S220/me6.png'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7081491926031542554.post-563064575989689323</id><published>2011-10-06T03:33:00.000-07:00</published><updated>2011-12-11T23:28:21.768-08:00</updated><category scheme='http://www.blogger.com/atom/ns#' term='Dasar Pemrograman (OOP)'/><title type='text'>Materi Kuliah Dasar Pemrograman (OOP)</title><content type='html'>&lt;a name='more'&gt;&lt;/a&gt;&lt;br /&gt;&lt;b&gt;Materi Kuliah Dasar Pemrograman (OOP) Semester Ganjil 2011/2012 :&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;01. Silabus | &lt;a href="http://www.mediafire.com/download.php?btec09judvln6v2"&gt;Download&lt;/a&gt; |&lt;br /&gt;02. C++ dan Pemrograman Berorientasi Obyek | &lt;a href="http://www.mediafire.com/download.php?llbg96ubbabwppu"&gt;Download&lt;/a&gt; |&lt;br /&gt;03. Dari Struktur Ke Kelas | &lt;a href="http://www.mediafire.com/download.php?4669b71k0zr2xca"&gt;Download&lt;/a&gt; |&lt;br /&gt;04. Konstruktor dan Destruktor | &lt;a href="http://www.mediafire.com/download.php?6fba2notk08rkd2"&gt;Download&lt;/a&gt; |&lt;br /&gt;05. Overloading Terhadap Operator | &lt;a href="http://www.mediafire.com/download.php?bkdsvtcsoftqi06"&gt;Download&lt;/a&gt; |&lt;br /&gt;06. Inheritance (Pewarisan) | &lt;a href="http://www.mediafire.com/download.php?xidf80cav9gr3ms"&gt;Download&lt;/a&gt; |&lt;br /&gt;07. Polymorphism (Polimorfisme) | &lt;a href="http://www.mediafire.com/download.php?cwscd5z23rw9i13"&gt;Download&lt;/a&gt; |&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;b&gt;Latihan per Pertemuan Mata Kuliah Dasar Pemrograman (OOP) Semester Ganjil 2011/2012 :&lt;/b&gt; &lt;br /&gt;&lt;br /&gt;01. Pertemuan 01&amp;nbsp; &lt;br /&gt;02. Pertemuan 02&amp;nbsp;&amp;nbsp; | &lt;a href="http://www.mediafire.com/download.php?k8y9ffyhq07bd9c"&gt;Download&lt;/a&gt; |&lt;br /&gt;03. Pertemuan 03&amp;nbsp;&amp;nbsp; | &lt;a href="http://www.mediafire.com/download.php?cq6529nk5mkizwa"&gt;Download&lt;/a&gt; |&lt;br /&gt;04. Pertemuan 04&amp;nbsp;&amp;nbsp; | &lt;a href="http://www.mediafire.com/download.php?wq6ccug97g2ziw5"&gt;Download&lt;/a&gt; |&lt;br /&gt;05. Pertemuan 05&amp;nbsp;&amp;nbsp; | &lt;a href="http://www.mediafire.com/download.php?cawy1vvyrw23ekr"&gt;Download&lt;/a&gt; |&lt;br /&gt;06. Pertemuan 06&amp;nbsp;&amp;nbsp; | &lt;a href="http://www.mediafire.com/download.php?54lhb077vi200f3"&gt;Download&lt;/a&gt; |&lt;br /&gt;07. Pertemuan 07&amp;nbsp;&amp;nbsp; | &lt;a href="http://www.mediafire.com/download.php?lm23f2oqe8c3ybx"&gt;Download&lt;/a&gt; |&lt;br /&gt;08. Pertemuan 08&amp;nbsp;&amp;nbsp; | &lt;a href="http://www.mediafire.com/download.php?2h3wyfxt6bi2j9g"&gt;Download&lt;/a&gt; |&lt;br /&gt;&lt;br /&gt;09. Pertemuan 12 &amp;nbsp; | &lt;a href="http://www.mediafire.com/download.php?kyae138qkxz3jbt"&gt;Download&lt;/a&gt; |&lt;br /&gt;10. Pertemuan 13 &amp;nbsp; | &lt;a href="http://www.mediafire.com/download.php?kuoiiermg1drv1v"&gt;Download&lt;/a&gt; |&lt;br /&gt;11. Pertemuan 14 &amp;nbsp; | &lt;a href="http://www.mediafire.com/download.php?ci7ielq2w3hc3s6"&gt;Download&lt;/a&gt; |&lt;br /&gt;12. Pertemuan 15 &amp;nbsp; | &lt;a href="http://www.mediafire.com/download.php?ilovr74akbhmj2j"&gt;Download&lt;/a&gt; |&lt;br /&gt;13. Pertemuan 16 &amp;nbsp; | &lt;a href="http://www.mediafire.com/download.php?66oc73zlqufwni7"&gt;Download&lt;/a&gt; |&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;Silahkan Download dan Pelajari, Semoga Sukses !!!&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7081491926031542554-563064575989689323?l=ekaprajawm.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://ekaprajawm.blogspot.com/feeds/563064575989689323/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ekaprajawm.blogspot.com/2011/10/materi-kuliah-dasar-pemrograman-oop.html#comment-form' title='1 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/563064575989689323'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/563064575989689323'/><link rel='alternate' type='text/html' href='http://ekaprajawm.blogspot.com/2011/10/materi-kuliah-dasar-pemrograman-oop.html' title='Materi Kuliah Dasar Pemrograman (OOP)'/><author><name>Eka Praja Wiyata Mandala, S.Kom, M.Kom</name><uri>http://www.blogger.com/profile/07586923755631208807</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='22' height='32' src='http://3.bp.blogspot.com/_N3RxZg3GR34/TN6iokc4iVI/AAAAAAAAARw/aUlgLxwIuGs/S220/me6.png'/></author><thr:total>1</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7081491926031542554.post-4649613926924188928</id><published>2011-10-06T02:42:00.000-07:00</published><updated>2011-12-11T23:18:25.888-08:00</updated><category scheme='http://www.blogger.com/atom/ns#' term='Data Mining'/><title type='text'>Materi Kuliah Data Mining</title><content type='html'>&lt;a name='more'&gt;&lt;/a&gt;&lt;br /&gt;&lt;b&gt;Materi Kuliah Data Mining Semester Ganjil 2011/2012 :&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;01. Silabus | &lt;a href="http://www.mediafire.com/download.php?f9adrswp1kf8738"&gt;Download&lt;/a&gt; |&lt;br /&gt;02. Sekilas Tentang Data Mining | &lt;a href="http://www.mediafire.com/download.php?29n537a79dwqp78"&gt;Download&lt;/a&gt; |&lt;br /&gt;03. Knowledge Discovery in Databases (KDD) | &lt;a href="http://www.mediafire.com/download.php?qz8tc08q7qo8yhg"&gt;Download&lt;/a&gt; |&lt;br /&gt;04. Arsitektur dan Model Data Mining | &lt;a href="http://www.mediafire.com/download.php?f3o4zzs8y46a2pk"&gt;Download&lt;/a&gt; |&lt;br /&gt;05. Association Rule - Algoritma A Priori | &lt;a href="http://www.mediafire.com/download.php?e1ap3qz5tzn80lv"&gt;Download&lt;/a&gt; |&lt;br /&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; Soal Review Algoritma A Priori | &lt;a href="http://www.mediafire.com/download.php?pxhoya6f79ndchx"&gt;Download&lt;/a&gt; | &lt;br /&gt;06. Clustering - Algoritma K-Means | &lt;a href="http://www.mediafire.com/download.php?t4lirqh93d0rr24"&gt;Download&lt;/a&gt; |&lt;br /&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; Soal Review Algoritma K-Means | &lt;a href="http://www.mediafire.com/download.php?ulj8dsbcp30casb"&gt;Download&lt;/a&gt; |  &lt;br /&gt;&lt;br /&gt;&lt;b&gt;Ujian Tengah Semester &lt;/b&gt;&lt;br /&gt;&lt;br /&gt;07. Classification - Algoritma C 4.5  | &lt;a href="http://www.mediafire.com/download.php?y005k20orac1lo9"&gt;Download&lt;/a&gt; |&lt;br /&gt;&amp;nbsp; &amp;nbsp; &amp;nbsp; Soal Review Algoritma C 4.5 | &lt;a href="http://www.mediafire.com/download.php?bu6nuztsgr9dk8u"&gt;Download&lt;/a&gt; | &lt;br /&gt;08. Jaringan Syaraf Tiruan (ANN)  | &lt;a href="http://www.mediafire.com/download.php?7mu9go3mfwf6716"&gt;Download&lt;/a&gt; | &lt;br /&gt;09. Model Hebb | &lt;a href="http://www.mediafire.com/download.php?m6d9x47lqz3yws6"&gt;Download&lt;/a&gt; |&lt;br /&gt;10. Soal Latihan Algoritma K-Means | &lt;a href="http://www.mediafire.com/download.php?o2o7bxu51r0r005"&gt;Download&lt;/a&gt; |&lt;br /&gt;11. Soal dan Jawaban Latihan Algoritma C 4.5 | &lt;a href="http://www.mediafire.com/download.php?fg5m5klyox9wfzj"&gt;Download&lt;/a&gt; | dan&lt;br /&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Proses Pencariannya menggunakan Ms. Excel | &lt;a href="http://www.mediafire.com/download.php?euma83jb6j9cypd"&gt;Download&lt;/a&gt; |&lt;br /&gt;&lt;br /&gt;&lt;b&gt;Silahkan Download dan Pelajari, Semoga Sukses !!!&lt;/b&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7081491926031542554-4649613926924188928?l=ekaprajawm.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://ekaprajawm.blogspot.com/feeds/4649613926924188928/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ekaprajawm.blogspot.com/2011/10/materi-kuliah-data-mining.html#comment-form' title='6 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/4649613926924188928'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/4649613926924188928'/><link rel='alternate' type='text/html' href='http://ekaprajawm.blogspot.com/2011/10/materi-kuliah-data-mining.html' title='Materi Kuliah Data Mining'/><author><name>Eka Praja Wiyata Mandala, S.Kom, M.Kom</name><uri>http://www.blogger.com/profile/07586923755631208807</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='22' height='32' src='http://3.bp.blogspot.com/_N3RxZg3GR34/TN6iokc4iVI/AAAAAAAAARw/aUlgLxwIuGs/S220/me6.png'/></author><thr:total>6</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7081491926031542554.post-5963861940100441779</id><published>2011-04-01T07:20:00.000-07:00</published><updated>2011-06-16T21:23:15.128-07:00</updated><category scheme='http://www.blogger.com/atom/ns#' term='Algoritma dan Pemrograman II'/><title type='text'>Materi Kuliah Algoritma dan Pemrograman II Semester Genap 2010/2011</title><content type='html'>&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;a href="http://download207.mediafire.com/g8gs6c3ud1ng/fs196j8bbihfexs/Bahan+Kuliah+Algoritma+dan+Pemrograman+II.rar" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"&gt;&lt;img border="0" height="100" src="http://4.bp.blogspot.com/-HmY3t3ySGmQ/TfrVXy2JEEI/AAAAAAAAAg4/Qz4q3tTol6k/s200/download_button.jpg" width="100" /&gt;&lt;/a&gt;&lt;/div&gt;&lt;br /&gt;&lt;span style="font-size: small;"&gt;&lt;b&gt;Silahkan DOWNLOAD&amp;nbsp;&lt;/b&gt;&lt;/span&gt;&lt;br /&gt;&lt;span style="font-size: small;"&gt;&lt;b&gt;Materi dan Contoh Program C Matakuliah Algoritma dan Pemrograman II.&lt;/b&gt;&lt;/span&gt;&lt;br /&gt;&lt;div style="color: red;"&gt;&lt;span style="font-size: small;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="color: red;"&gt;&lt;span style="font-size: small;"&gt;&lt;b&gt;Klik tombol disamping !!!! &lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7081491926031542554-5963861940100441779?l=ekaprajawm.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://ekaprajawm.blogspot.com/feeds/5963861940100441779/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ekaprajawm.blogspot.com/2011/04/materi-kuliah-algoritma-dan-pemrograman.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/5963861940100441779'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/5963861940100441779'/><link rel='alternate' type='text/html' href='http://ekaprajawm.blogspot.com/2011/04/materi-kuliah-algoritma-dan-pemrograman.html' title='Materi Kuliah Algoritma dan Pemrograman II Semester Genap 2010/2011'/><author><name>Eka Praja Wiyata Mandala, S.Kom, M.Kom</name><uri>http://www.blogger.com/profile/07586923755631208807</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='22' height='32' src='http://3.bp.blogspot.com/_N3RxZg3GR34/TN6iokc4iVI/AAAAAAAAARw/aUlgLxwIuGs/S220/me6.png'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://4.bp.blogspot.com/-HmY3t3ySGmQ/TfrVXy2JEEI/AAAAAAAAAg4/Qz4q3tTol6k/s72-c/download_button.jpg' height='72' width='72'/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7081491926031542554.post-2133963156385713428</id><published>2011-03-06T22:56:00.000-08:00</published><updated>2011-03-06T23:34:17.516-08:00</updated><category scheme='http://www.blogger.com/atom/ns#' term='Rekayasa Perangkat Lunak Dasar'/><title type='text'>Pembagian Kelompok Software Engineering</title><content type='html'>&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;a href="https://lh6.googleusercontent.com/-6sd7Clt19JE/TXSIRs8XLmI/AAAAAAAAAfA/OCglhXDYRno/s1600/screenshot.4.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" height="489" src="https://lh6.googleusercontent.com/-6sd7Clt19JE/TXSIRs8XLmI/AAAAAAAAAfA/OCglhXDYRno/s640/screenshot.4.jpg" width="640" /&gt;&lt;/a&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;a href="https://lh4.googleusercontent.com/-tpv7n-c3zEM/TXSIZ_-EuuI/AAAAAAAAAfE/CRmCmvD_2mA/s1600/screenshot.6.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" height="331" src="https://lh4.googleusercontent.com/-tpv7n-c3zEM/TXSIZ_-EuuI/AAAAAAAAAfE/CRmCmvD_2mA/s640/screenshot.6.jpg" width="640" /&gt;&lt;/a&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;a href="https://lh5.googleusercontent.com/-URZveTOFVfk/TXSGVQu_WNI/AAAAAAAAAe8/s3Ee2-1_LKw/s1600/screenshot.2.jpg" imageanchor="1" style="margin-left: 1em; 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margin-right: 1em;"&gt;&lt;br /&gt;&lt;/a&gt;&lt;/div&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7081491926031542554-2133963156385713428?l=ekaprajawm.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://ekaprajawm.blogspot.com/feeds/2133963156385713428/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ekaprajawm.blogspot.com/2011/03/pembagian-kelompok-software-engineering.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/2133963156385713428'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/2133963156385713428'/><link rel='alternate' type='text/html' href='http://ekaprajawm.blogspot.com/2011/03/pembagian-kelompok-software-engineering.html' title='Pembagian Kelompok Software Engineering'/><author><name>Eka Praja Wiyata Mandala, S.Kom, M.Kom</name><uri>http://www.blogger.com/profile/07586923755631208807</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='22' height='32' src='http://3.bp.blogspot.com/_N3RxZg3GR34/TN6iokc4iVI/AAAAAAAAARw/aUlgLxwIuGs/S220/me6.png'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='https://lh6.googleusercontent.com/-6sd7Clt19JE/TXSIRs8XLmI/AAAAAAAAAfA/OCglhXDYRno/s72-c/screenshot.4.jpg' height='72' width='72'/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7081491926031542554.post-2428031495312846906</id><published>2010-12-15T22:59:00.000-08:00</published><updated>2011-11-06T20:31:55.561-08:00</updated><category scheme='http://www.blogger.com/atom/ns#' term='eBook Data Warehouse'/><title type='text'>Building The Data Warehouse</title><content type='html'>&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: small;"&gt;&lt;b&gt;&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;a href="http://3.bp.blogspot.com/_N3RxZg3GR34/TQmyNW_9xhI/AAAAAAAAAUY/ZbrUDanBiKc/s1600/inmon.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"&gt;&lt;/a&gt;&lt;a href="http://3.bp.blogspot.com/_N3RxZg3GR34/TQmyNW_9xhI/AAAAAAAAAUY/ZbrUDanBiKc/s1600/inmon.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" height="320" src="http://3.bp.blogspot.com/_N3RxZg3GR34/TQmyNW_9xhI/AAAAAAAAAUY/ZbrUDanBiKc/s320/inmon.png" width="255" /&gt;&lt;/a&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: small;"&gt;&lt;b&gt;&lt;/b&gt;&lt;/span&gt;&lt;br /&gt;&lt;span style="font-size: small;"&gt;&lt;b&gt;&lt;/b&gt;&lt;/span&gt;&lt;br /&gt;&lt;span style="font-size: small;"&gt;&lt;b&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;br /&gt;&lt;span style="font-size: small;"&gt;&lt;b&gt;&lt;/b&gt;&lt;/span&gt;&lt;br /&gt;&lt;a name='more'&gt;&lt;/a&gt;&lt;div style="text-align: center;"&gt;&lt;span style="font-size: large;"&gt;&lt;b&gt;Building The Data Warehouse&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: center;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: center;"&gt;&lt;span style="font-size: small;"&gt;&lt;b&gt;Ebook Details &lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;/div&gt;&lt;div style="text-align: center;"&gt;&lt;span style="font-size: x-small;"&gt;&lt;span style="font-size: small;"&gt;&lt;b&gt;ISBN : &lt;/b&gt;9780764-59944-6, &lt;b&gt;Author : &lt;/b&gt;WILLIAM H. INMON, &lt;b&gt;Date : &lt;/b&gt;4/2005, &lt;/span&gt;&lt;span style="font-size: small;"&gt;&lt;b&gt;Format : &lt;/b&gt;pdf&lt;/span&gt;&lt;b&gt;&lt;br /&gt;&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: center;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;div style="text-align: center;"&gt;&lt;span style="font-size: small;"&gt;&lt;b&gt;E-Book Descriptions &lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: center;"&gt;The new edition of the classic bestseller that launched the data  warehousing industry covers new approaches and technologies, many of  which have been pioneered by Inmon himself &lt;/div&gt;&lt;div style="text-align: center;"&gt;In addition to explaining the fundamentals of data warehouse systems,  the book covers new topics such as methods for handling unstructured  data in a data warehouse and storing data across multiple storage media &lt;/div&gt;&lt;div style="text-align: center;"&gt;Discusses the pros and cons of relational versus multidimensional  design and how to measure return on investment in planning data  warehouse projects &lt;/div&gt;&lt;div style="text-align: center;"&gt;Covers advanced topics, including data monitoring and testing &lt;/div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;div style="text-align: center;"&gt;&lt;b&gt;Table of content &lt;/b&gt;&lt;/div&gt;Preface. &lt;br /&gt;Acknowledgments. &lt;br /&gt;Chapter 1:&amp;nbsp;&amp;nbsp;&amp;nbsp; Evolution of Decision Support Systems. &lt;br /&gt;Chapter 2:&amp;nbsp;&amp;nbsp;&amp;nbsp; The Data Warehouse Environment. &lt;br /&gt;Chapter 3:&amp;nbsp;&amp;nbsp;&amp;nbsp; The Data Warehouse and Design. &lt;br /&gt;Chapter 4:&amp;nbsp;&amp;nbsp;&amp;nbsp; Granularity in the Data Warehouse. &lt;br /&gt;Chapter 5:&amp;nbsp;&amp;nbsp;&amp;nbsp; The Data Warehouse and Technology. &lt;br /&gt;Chapter 6:&amp;nbsp;&amp;nbsp;&amp;nbsp; The Distributed Data Warehouse. &lt;br /&gt;Chapter 7:&amp;nbsp;&amp;nbsp;&amp;nbsp; Executive Information Systems and the Data Warehouse. &lt;br /&gt;Chapter 8:&amp;nbsp;&amp;nbsp;&amp;nbsp; External Data and the Data Warehouse. &lt;br /&gt;Chapter 9:&amp;nbsp;&amp;nbsp;&amp;nbsp; Migration to the Architected Environment. &lt;br /&gt;Chapter 10:&amp;nbsp; The Data Warehouse and the Web. &lt;br /&gt;Chapter 11:&amp;nbsp; Unstructured Data and the Data Warehouse. &lt;br /&gt;Chapter 12:&amp;nbsp; The Really Large Data Warehouse. &lt;br /&gt;Chapter 13:&amp;nbsp; The Relational and the Multidimensional Models as a Basis for Database Design. &lt;br /&gt;Chapter 14:&amp;nbsp; Data Warehouse Advanced Topics. &lt;br /&gt;Chapter 15:&amp;nbsp; Cost-Justification and Return on Investment for a Data Warehouse. &lt;br /&gt;Chapter 16:&amp;nbsp; The Data Warehouse and the ODS. &lt;br /&gt;Chapter 17:&amp;nbsp; Corporate Information Compliance and Data Warehousing. &lt;br /&gt;Chapter 18:&amp;nbsp; The End-User Community. &lt;br /&gt;Chapter 19:&amp;nbsp; Data Warehouse Design Review Checklist. &lt;br /&gt;Glossary. &lt;br /&gt;References. &lt;br /&gt;Index.&amp;nbsp;&lt;/div&gt;&lt;br /&gt;E-Book :&amp;nbsp; Building The Data Warehouse | &lt;a href="http://download401.mediafire.com/7fug51k39apg/jz39q8a5t8bvnjx/Building+The+Data+Warehouse+%282005%29+Fourth+Edition-Inmon-Wiley_www.ekaprajawm.co.cc.pdf"&gt;Download&lt;/a&gt; |&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7081491926031542554-2428031495312846906?l=ekaprajawm.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://ekaprajawm.blogspot.com/feeds/2428031495312846906/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ekaprajawm.blogspot.com/2010/12/building-data-warehouse.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/2428031495312846906'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/2428031495312846906'/><link rel='alternate' type='text/html' href='http://ekaprajawm.blogspot.com/2010/12/building-data-warehouse.html' title='Building The Data Warehouse'/><author><name>Eka Praja Wiyata Mandala, S.Kom, M.Kom</name><uri>http://www.blogger.com/profile/07586923755631208807</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='22' height='32' src='http://3.bp.blogspot.com/_N3RxZg3GR34/TN6iokc4iVI/AAAAAAAAARw/aUlgLxwIuGs/S220/me6.png'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://3.bp.blogspot.com/_N3RxZg3GR34/TQmyNW_9xhI/AAAAAAAAAUY/ZbrUDanBiKc/s72-c/inmon.png' height='72' width='72'/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7081491926031542554.post-6979776554168165666</id><published>2010-12-15T20:46:00.000-08:00</published><updated>2011-11-06T20:23:19.861-08:00</updated><category scheme='http://www.blogger.com/atom/ns#' term='eBook Data Warehouse'/><title type='text'>Building a Data Warehouse With Examples in SQL Server</title><content type='html'>&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;a href="http://3.bp.blogspot.com/_N3RxZg3GR34/TQmXcRuf9eI/AAAAAAAAAUU/wHzGgg8kt7Q/s1600/appress1.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" height="320" src="http://3.bp.blogspot.com/_N3RxZg3GR34/TQmXcRuf9eI/AAAAAAAAAUU/wHzGgg8kt7Q/s320/appress1.jpg" width="240" /&gt;&lt;/a&gt;&lt;/div&gt;&lt;br /&gt;&lt;span style="font-size: small;"&gt;&lt;b&gt;&lt;/b&gt;&lt;/span&gt;&lt;br /&gt;&lt;a name='more'&gt;&lt;/a&gt;&lt;span style="font-size: large;"&gt;&lt;br /&gt;&lt;/span&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;span style="font-size: large;"&gt;&lt;b&gt;&amp;nbsp;Building a Data Warehouse With Examples in SQL Server&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: center;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: center;"&gt;&lt;span style="font-size: small;"&gt;&lt;b&gt;Details E-Book &lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: center;"&gt;Publisher : Apress, Language : English, ISBN : 1590599314, Paperback : 523 pages, Date : Dec 2007, Format : PDF&lt;/div&gt;&lt;div style="text-align: center;"&gt;&lt;b&gt;&lt;br /&gt;&lt;/b&gt;&lt;/div&gt;&lt;div style="text-align: center;"&gt;&lt;b&gt;&lt;span style="font-size: small;"&gt;E-Book Description &lt;/span&gt;&lt;/b&gt;&lt;/div&gt;&lt;div style="text-align: center;"&gt;Building a Data Warehouse: With Examples  in SQL Server describes how to build a data warehouse completely from  scratch and shows practical examples on how to do it. Author Vincent  Rainardi also describes some practical issues he has experienced that developers  are likely to encounter in their first data warehousing project, along  with solutions and advice. The RDBMS used in the examples is SQL Server;  the version will not be an issue as long as the user has SQL Server  2005 or later.&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;CHAPTER 1&amp;nbsp;&amp;nbsp;&amp;nbsp; Introduction to Data Warehousing&lt;/div&gt;&lt;div style="text-align: justify;"&gt;CHAPTER 2&amp;nbsp;&amp;nbsp;&amp;nbsp; Data Warehouse Architecture&lt;/div&gt;&lt;div style="text-align: justify;"&gt;CHAPTER 3&amp;nbsp;&amp;nbsp;&amp;nbsp; Data Warehouse Development Methodology&lt;/div&gt;&lt;div style="text-align: justify;"&gt;CHAPTER 4&amp;nbsp;&amp;nbsp;&amp;nbsp; Functional and Nonfunctional Requirements&lt;/div&gt;&lt;div style="text-align: justify;"&gt;CHAPTER 5&amp;nbsp;&amp;nbsp;&amp;nbsp; Data Modeling&lt;/div&gt;&lt;div style="text-align: justify;"&gt;CHAPTER 6&amp;nbsp;&amp;nbsp;&amp;nbsp; Physical Database Design&lt;/div&gt;&lt;div style="text-align: justify;"&gt;CHAPTER 7&amp;nbsp;&amp;nbsp;&amp;nbsp; Data Extraction&lt;/div&gt;&lt;div style="text-align: justify;"&gt;CHAPTER 8&amp;nbsp; &amp;nbsp; Populating the Data Warehouse&lt;/div&gt;&lt;div style="text-align: justify;"&gt;CHAPTER 9&amp;nbsp;&amp;nbsp;&amp;nbsp; Assuring Data Quality&lt;/div&gt;&lt;div style="text-align: justify;"&gt;CHAPTER 10&amp;nbsp; Metadata&lt;/div&gt;&lt;div style="text-align: justify;"&gt;CHAPTER 11&amp;nbsp; Building Reports&lt;/div&gt;&lt;div style="text-align: justify;"&gt;CHAPTER 12&amp;nbsp; Multidimensional Database&lt;/div&gt;&lt;div style="text-align: justify;"&gt;CHAPTER 13&amp;nbsp; Using Data Warehouse for Business Intelligence&lt;/div&gt;&lt;div style="text-align: justify;"&gt;CHAPTER 14&amp;nbsp; Using Data Warehouse for Customer Relationship Management&lt;/div&gt;&lt;div style="text-align: justify;"&gt;CHAPTER 15&amp;nbsp; Other Data Warehouse Usage&lt;/div&gt;&lt;div style="text-align: justify;"&gt;CHAPTER 16&amp;nbsp; Testing Your Data Warehouse&lt;/div&gt;&lt;div style="text-align: justify;"&gt;CHAPTER 17&amp;nbsp; Data Warehouse Administration&lt;/div&gt;&lt;div style="text-align: justify;"&gt;APPENDIX&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Normalization Rules&lt;/div&gt;&lt;br /&gt;E-Book :&amp;nbsp; Building a Data Warehouse With Examples in SQL Server&amp;nbsp; | &lt;a href="http://download386.mediafire.com/3lpcj4ndwwng/skm4k3661vg732t/Building+a+Data+Warehouse_www.ekaprajawm.co.cc.pdf"&gt;Download&lt;/a&gt; |&lt;b&gt;&lt;br /&gt;&lt;/b&gt;&lt;br /&gt;&lt;div style="text-align: justify;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7081491926031542554-6979776554168165666?l=ekaprajawm.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://ekaprajawm.blogspot.com/feeds/6979776554168165666/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ekaprajawm.blogspot.com/2010/12/building-data-warehouse-with-examples.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/6979776554168165666'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/6979776554168165666'/><link rel='alternate' type='text/html' href='http://ekaprajawm.blogspot.com/2010/12/building-data-warehouse-with-examples.html' title='Building a Data Warehouse With Examples in SQL Server'/><author><name>Eka Praja Wiyata Mandala, S.Kom, M.Kom</name><uri>http://www.blogger.com/profile/07586923755631208807</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='22' height='32' src='http://3.bp.blogspot.com/_N3RxZg3GR34/TN6iokc4iVI/AAAAAAAAARw/aUlgLxwIuGs/S220/me6.png'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://3.bp.blogspot.com/_N3RxZg3GR34/TQmXcRuf9eI/AAAAAAAAAUU/wHzGgg8kt7Q/s72-c/appress1.jpg' height='72' width='72'/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7081491926031542554.post-6843350524375841020</id><published>2010-12-10T20:00:00.000-08:00</published><updated>2010-12-18T21:50:26.910-08:00</updated><category scheme='http://www.blogger.com/atom/ns#' term='Unified Modeling Language (UML)'/><title type='text'>Pengantar ke Unified Modeling Language (UML)</title><content type='html'>&lt;div class="separator" style="clear: both; text-align: justify;"&gt;&lt;a href="http://4.bp.blogspot.com/_N3RxZg3GR34/TQLnqk0iyfI/AAAAAAAAAUE/JYJ_vOC6Hcg/s1600/UML_logo.gif" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"&gt;&lt;img border="0" height="227" src="http://4.bp.blogspot.com/_N3RxZg3GR34/TQLnqk0iyfI/AAAAAAAAAUE/JYJ_vOC6Hcg/s320/UML_logo.gif" width="320" /&gt;&lt;/a&gt;&lt;a href="http://4.bp.blogspot.com/_N3RxZg3GR34/TQLnqk0iyfI/AAAAAAAAAUE/JYJ_vOC6Hcg/s1600/UML_logo.gif" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"&gt; &lt;/a&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;span style="font-size: large;"&gt;&lt;b&gt;Apa itu UML ?&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;br /&gt;&lt;b&gt;UML (Unified Modeling Language) &lt;/b&gt;adalah salah satu alat bantu yang sangat handal di dunia pengembangan sistem yang berorientasi obyek. UML menyediakan bahasa pemodelan visual yang memungkinkan bagi pengembang sistem untuk membuat &lt;i&gt;blue print&lt;/i&gt; yang mudah dimengerti.&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;UML &lt;/b&gt;merupakan kesatuan dari bahasa pemodelan yang dikembangkan oleh Booch, &lt;i&gt;Object Modeling Technique (OMT) &lt;/i&gt;dan &lt;i&gt;Object Oriented Software Engineering (OOSE).&lt;/i&gt; Keunggulan metode Booch ini adalah pada detail dan kayanya dengan notasi dan elemen.&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;br /&gt;&lt;b&gt;Metode Booch&lt;/b&gt; menjadikan proses analisis dan design ke dalam 4 tahapan iteratif, yaitu : mengidentifikasi kelas-kelas dan obyek-obyek, mengidentifikasi semantik dari hubungan kelas dan obyek tersebut, perincian interface dan implementasi&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Pemodelan OMT&lt;/b&gt; yang dikembangkan oleh Rumbaugh didasarkan pada analisis terstruktur dan pemodelan &lt;i&gt;entity-relationship. &lt;/i&gt;Tahapannya adalah analisis, design sistem, design obyek, dan implementasi. Keunggulannya adalah dalam penotasian yang mendukung semua konsep&lt;i&gt; Object Oriented.&lt;/i&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Metode OOSE&lt;/b&gt; dari Jacobson lebih memberi penekanan pada &lt;i&gt;use case&lt;/i&gt;. OOSE memiliki tahapan yaitu membuat model requirement dan analisis, design dan implementasi, model pengujian (&lt;i&gt;test model&lt;/i&gt;)&lt;i&gt;.&amp;nbsp;&lt;/i&gt;&lt;br /&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;a href="http://1.bp.blogspot.com/_N3RxZg3GR34/TQMWpNBnGVI/AAAAAAAAAUM/ks_6_BzKqAI/s1600/1c1.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" height="255" src="http://1.bp.blogspot.com/_N3RxZg3GR34/TQMWpNBnGVI/AAAAAAAAAUM/ks_6_BzKqAI/s320/1c1.jpg" width="320" /&gt;&lt;/a&gt;&lt;/div&gt;&lt;br /&gt;&lt;br /&gt;&lt;b&gt;Dengan UML, metode Booch, OMT dan OOSE &lt;/b&gt;digabungkan dengan membuang elemen-elemen yang tidak praktis ditambah dengan elemen-elemen dari metode lain yang lebih efektif dan elemen-elemen baru yang belum ada pada metode terdahulu sehingga UML lebih ekspresif dan seragam daripada metode lainnya.&lt;br /&gt;&lt;br /&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;a href="http://2.bp.blogspot.com/_N3RxZg3GR34/TQMPNCH9KAI/AAAAAAAAAUI/ybCTNVGXsQQ/s1600/umlcontributors.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" height="251" src="http://2.bp.blogspot.com/_N3RxZg3GR34/TQMPNCH9KAI/AAAAAAAAAUI/ybCTNVGXsQQ/s400/umlcontributors.jpg" width="400" /&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;b&gt;Unsur - unsur pembentuk UML&amp;nbsp;&lt;/b&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;&lt;span style="font-size: large;"&gt;&lt;b&gt;Mengapa UML Penting ?&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: justify;"&gt;&lt;b&gt;UML &lt;/b&gt;adalah hasil kerja dari konsorsium berbagai organisasi yang berhasil dijadikan sebagai standar baku dalam &lt;b&gt;OOAD (&lt;i&gt;Object Oriented Analysis &amp;amp; Design&lt;/i&gt;).&amp;nbsp;&lt;/b&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: justify;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: justify;"&gt;UML memiliki tiga karakter penting yaitu sketsa, &lt;i&gt;blue print, &lt;/i&gt;dan bahasa pemrograman.&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: justify;"&gt;-&amp;nbsp; &lt;i&gt;&lt;b&gt;Sketsa&lt;/b&gt;&lt;/i&gt;, UML berfungsi sebagai jembatan dalam mengkomunikasikan beberapa aspek dari sistem, sehingga semua anggota memiliki gambaran yang sama tentang sistem yang dibuat.&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: justify;"&gt;-&amp;nbsp; &lt;b&gt;&lt;i&gt;Blue Print, &lt;/i&gt;&lt;/b&gt;akan dapat diketahui informasi detail tentang &lt;i&gt;coding program&lt;/i&gt; (&lt;i&gt;forward engineering&lt;/i&gt;) dan menginterpretasikannya kembali ke dalam diagram (&lt;i&gt;reverse engineering&lt;/i&gt;).&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: justify;"&gt;-&amp;nbsp; &lt;i&gt;&lt;b&gt;Bahasa Pemrograman,&lt;/b&gt;&lt;/i&gt; UML dapat menterjemahkan diagram yang ada di UML menjadi &lt;i&gt;code program&lt;/i&gt; yang siap untuk dijalankan.&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: justify;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: justify;"&gt;UML dibangun atas &lt;b&gt;model 4+1 view&lt;/b&gt;, yang didasarkan pada fakta bahwa struktur sebuah sistem dideskripsikan dalam 5 view.&lt;/div&gt;&lt;ol&gt;&lt;li&gt;&lt;b&gt;&lt;i&gt;Use Case View&lt;/i&gt;, &lt;/b&gt;mendefinisikan perilaku eksternal sistem. &lt;b&gt;&lt;i&gt;Use Case view&lt;/i&gt; &lt;/b&gt;menjadi pusat peran dan sering dikatakan yang mengatur proses pengembangan perangkat lunak.&lt;/li&gt;&lt;li&gt;&lt;b&gt;&lt;i&gt;Design View,&lt;/i&gt;&lt;/b&gt; mendeskripsikan struktur logika yang mendukung fungsi-fungsi yang dibutuhkan di &lt;i&gt;use case. &lt;/i&gt;Berisi komponen program, class-class utama dan spesifikasi data, perilaku dan interaksinya.&lt;/li&gt;&lt;li&gt;&lt;i&gt;&lt;b&gt;Implementation View,&lt;/b&gt;&lt;/i&gt; menjelaskan komponen-komponen fisik dari sistem yang akan dibangun. Termasuk di dalamnya adalah file exe, library dan database&lt;/li&gt;&lt;li&gt;&lt;i&gt;&lt;b&gt;Process View, &lt;/b&gt;&lt;/i&gt;berhubungan dengan hal-hal yang berkaitan dengan &lt;i&gt;concurency&lt;/i&gt; di dalam sistem&lt;/li&gt;&lt;li&gt;&lt;i&gt;&lt;b&gt;Deployment View,&lt;/b&gt;&lt;/i&gt; menjelaskan bagaimana komponen-komponen fisik didistribusikan ke lingkungan fisik seperti jaringan komputer dimana sistem akan dijalankan.&lt;/li&gt;&lt;/ol&gt;Sumber : Buku &lt;b&gt;Pemodelan Visual dengan UML, Munawar, 2005, Graha Ilmu &lt;/b&gt;&lt;br /&gt;&lt;ol&gt;&lt;/ol&gt;&lt;/div&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7081491926031542554-6843350524375841020?l=ekaprajawm.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://ekaprajawm.blogspot.com/feeds/6843350524375841020/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ekaprajawm.blogspot.com/2010/12/pengantar-ke-unified-modeling-language.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/6843350524375841020'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/6843350524375841020'/><link rel='alternate' type='text/html' href='http://ekaprajawm.blogspot.com/2010/12/pengantar-ke-unified-modeling-language.html' title='Pengantar ke Unified Modeling Language (UML)'/><author><name>Eka Praja Wiyata Mandala, S.Kom, M.Kom</name><uri>http://www.blogger.com/profile/07586923755631208807</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='22' height='32' src='http://3.bp.blogspot.com/_N3RxZg3GR34/TN6iokc4iVI/AAAAAAAAARw/aUlgLxwIuGs/S220/me6.png'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://4.bp.blogspot.com/_N3RxZg3GR34/TQLnqk0iyfI/AAAAAAAAAUE/JYJ_vOC6Hcg/s72-c/UML_logo.gif' height='72' width='72'/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7081491926031542554.post-8272261596093171976</id><published>2010-12-10T01:37:00.000-08:00</published><updated>2010-12-18T21:49:54.026-08:00</updated><category scheme='http://www.blogger.com/atom/ns#' term='Software Collection&apos;s'/><title type='text'>Software : Rational Rose 2002 for Unified Modeling Language (UML)</title><content type='html'>&lt;div class="separator" style="clear: both; text-align: justify;"&gt;&lt;a href="http://4.bp.blogspot.com/_N3RxZg3GR34/TQH2qW-IK0I/AAAAAAAAATM/6_u7uIbtgps/s1600/rational20roseno4.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"&gt;&lt;img border="0" height="239" src="http://4.bp.blogspot.com/_N3RxZg3GR34/TQH2qW-IK0I/AAAAAAAAATM/6_u7uIbtgps/s320/rational20roseno4.jpg" width="320" /&gt;&lt;/a&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rational Rose&lt;/b&gt; merupakan salah satu software yang paling banyak digunakan untuk melakukan design software melalui pendekatan&lt;b&gt; UML (Unified Modelling Language)&lt;/b&gt;.&amp;nbsp; &lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rational Rose&lt;/b&gt; merupakan software yang menyediakan banyak fungsi - fungsi seperti : &lt;b&gt;design proses, generate code, reverse engineering,&lt;/b&gt; serta banyak fungsi-fungsi yang lain.&lt;b&gt;&amp;nbsp; &lt;/b&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rational Rose&lt;/b&gt; merupakan tool yang sangat mudah karena sudah menyediakan contoh-contoh design dari beberapa software. Sebelum menggunakannya, &lt;b&gt;terlebih dahulu pahamilah tentang UML (Unified Modelling Language). &lt;/b&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;Rational Rose 2002 berukuran 234 MB, dibagi menjadi 3 part. &lt;/div&gt;&lt;div style="text-align: justify;"&gt;Download Rational Rose 2002 disini :&lt;/div&gt;&lt;div style="text-align: justify;"&gt;- Part 1 : &lt;a href="http://download945.mediafire.com/q8xm6ycf5qtg/i86my49d871ndne/Rational+Rose+2002.rar.001"&gt;&lt;b&gt;Rational Rose 2002 Part 1&lt;/b&gt;&lt;/a&gt; (100 MB) &lt;/div&gt;&lt;div style="text-align: justify;"&gt;- Part 2 : &lt;b&gt;&lt;a href="http://download1319.mediafire.com/st23m5m6lneg/m66gokqlskeoe8f/Rational+Rose+2002.rar.002"&gt;Rational Rose 2002 Part 2&lt;/a&gt;&lt;/b&gt; (100 MB)&lt;/div&gt;&lt;div style="text-align: justify;"&gt;- Part 3 :&lt;b&gt; &lt;a href="http://download996.mediafire.com/xgij1hs24ovg/16xss36i437ylp7/Rational+Rose+2002.rar.003"&gt;Rational Rose 2002 Part 3&lt;/a&gt;&lt;/b&gt; (34 MB) &lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;Untuk menggabungkan ke 3 file diatas, bisa digunakan &lt;b&gt;HJSplit&lt;/b&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;Download disini :&amp;nbsp; &lt;b&gt;&lt;a href="http://download194.mediafire.com/zjemzmmx1xmg/56aa1rr458d3zt2/hjsplit.zip"&gt;HJSplit&lt;/a&gt;&amp;nbsp;&lt;/b&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;Berikut disertakan tutorial sederhana Menggunakan Rational Rose 2002 :&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;&lt;a href="http://download824.mediafire.com/k9sgbqtsrsfg/dgrd2dvn0ki04xy/TutorialRationalRose.pdf"&gt;Tutorial Rational Rose&lt;/a&gt;&amp;nbsp;&lt;/b&gt;&lt;b&gt; &lt;/b&gt;&lt;/div&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7081491926031542554-8272261596093171976?l=ekaprajawm.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://ekaprajawm.blogspot.com/feeds/8272261596093171976/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ekaprajawm.blogspot.com/2010/12/rational-rose-2002-for-unified-modeling.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/8272261596093171976'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/8272261596093171976'/><link rel='alternate' type='text/html' href='http://ekaprajawm.blogspot.com/2010/12/rational-rose-2002-for-unified-modeling.html' title='Software : Rational Rose 2002 for Unified Modeling Language (UML)'/><author><name>Eka Praja Wiyata Mandala, S.Kom, M.Kom</name><uri>http://www.blogger.com/profile/07586923755631208807</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='22' height='32' src='http://3.bp.blogspot.com/_N3RxZg3GR34/TN6iokc4iVI/AAAAAAAAARw/aUlgLxwIuGs/S220/me6.png'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://4.bp.blogspot.com/_N3RxZg3GR34/TQH2qW-IK0I/AAAAAAAAATM/6_u7uIbtgps/s72-c/rational20roseno4.jpg' height='72' width='72'/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7081491926031542554.post-8439930642372002543</id><published>2010-11-25T19:50:00.000-08:00</published><updated>2010-11-25T22:24:02.027-08:00</updated><category scheme='http://www.blogger.com/atom/ns#' term='Teknik Informatika UPI YPTK Padang'/><title type='text'>Jadwal Presentasi PKL Teknik Informatika Semester 2010/2011</title><content type='html'>Jadwal Presentasi PKL Teknik Informatika dimulai :&lt;br /&gt;&lt;b&gt;Hari&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Senin&lt;br /&gt;Tgl&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 29 November 2010&lt;/b&gt;&lt;br /&gt;&lt;b&gt;&lt;br /&gt;Lihat Kelompok masing-masing dan sesuaikan jadwal..&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;&lt;b&gt;Catatan :&lt;/b&gt;&lt;br /&gt;1.&amp;nbsp; Bagi Mahasiswa yang telah dijadwalkan&lt;b&gt; hadir 30 menit sebelum jadwalnya&lt;/b&gt;&lt;br /&gt;2.&amp;nbsp; Bagi Mahasiswa yang tidak hadir sesuai jadwal maka Ujian dinyatakan &lt;b&gt;GAGAL&lt;/b&gt;&lt;br /&gt;3.&amp;nbsp; Presentasi PKL menggunakan Power Point atau software sejenis&lt;br /&gt;4.&amp;nbsp; Siapkan beberapa fotocopy untuk Audience (dalam bentuk ringkasan)&lt;br /&gt;5.&amp;nbsp; Bagi Kelompok yang dijadwalkan &lt;b&gt;WAJIB HADIR&lt;/b&gt;, maka &lt;b&gt;harus menghadiri presentasi PKL sesuai jadwal.&lt;/b&gt;&lt;br /&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Bagi yang tidak menghadiri maka dinyatakan &lt;b&gt;GAGAL&lt;/b&gt;&lt;br /&gt;6.&amp;nbsp; Pakaian &lt;b&gt;Putih-Hitam&lt;br /&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Pria&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; : Memakai Kemeja PUTIH POLOS, Celana Bahan HITAM dan DASI, Sepatu Menyesuaikan&lt;br /&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Wanita : Memakai Kemeja PUTIH POLOS, Rok Panjang Bahan HITAM, Sepatu Menyesuaikan&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;&lt;span style="font-size: large;"&gt; &lt;/span&gt;&lt;br /&gt;&lt;span style="font-size: large;"&gt;&lt;a href="http://download825.mediafire.com/c0w0kv7i60tg/faz6gur6w6yrox8/JadwalPKLGanjil2010-2011.xls"&gt;Silahkan download jadwal lengkapnya disini !!!&lt;/a&gt;&lt;/span&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7081491926031542554-8439930642372002543?l=ekaprajawm.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://ekaprajawm.blogspot.com/feeds/8439930642372002543/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ekaprajawm.blogspot.com/2010/11/jadwal-presentasi-pkl-teknik.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/8439930642372002543'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/8439930642372002543'/><link rel='alternate' type='text/html' href='http://ekaprajawm.blogspot.com/2010/11/jadwal-presentasi-pkl-teknik.html' title='Jadwal Presentasi PKL Teknik Informatika Semester 2010/2011'/><author><name>Eka Praja Wiyata Mandala, S.Kom, M.Kom</name><uri>http://www.blogger.com/profile/07586923755631208807</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='22' height='32' src='http://3.bp.blogspot.com/_N3RxZg3GR34/TN6iokc4iVI/AAAAAAAAARw/aUlgLxwIuGs/S220/me6.png'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7081491926031542554.post-3916161215447064823</id><published>2010-11-24T18:41:00.000-08:00</published><updated>2011-11-06T20:47:59.967-08:00</updated><category scheme='http://www.blogger.com/atom/ns#' term='eBook UML'/><title type='text'>Mastering UML with Rational Rose 2002</title><content type='html'>&lt;br /&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;a href="http://2.bp.blogspot.com/_N3RxZg3GR34/TQmS2vFxzDI/AAAAAAAAAUQ/4EM7H-M355g/s1600/0782140173.01._SCLZZZZZZZ_.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" height="320" src="http://2.bp.blogspot.com/_N3RxZg3GR34/TQmS2vFxzDI/AAAAAAAAAUQ/4EM7H-M355g/s320/0782140173.01._SCLZZZZZZZ_.jpg" width="266" /&gt;&lt;/a&gt;&lt;/div&gt;&lt;br /&gt;&lt;a href="http://2.bp.blogspot.com/_N3RxZg3GR34/TQmS2vFxzDI/AAAAAAAAAUQ/4EM7H-M355g/s1600/0782140173.01._SCLZZZZZZZ_.jpg" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"&gt;&lt;span style="clear: left; float: left; font-size: large; margin-bottom: 1em; margin-right: 1em;"&gt;&lt;/span&gt;&lt;/a&gt;&lt;br /&gt;&lt;a name='more'&gt;&lt;/a&gt;&lt;br /&gt;&lt;div style="text-align: center;"&gt;&lt;span style="font-size: large;"&gt;&lt;b&gt;Mastering UML with Rational Rose 2002 &lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: center;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: center;"&gt;&lt;span style="font-size: large;"&gt;&lt;b&gt;&lt;span style="font-size: small;"&gt;Ebook Details :&lt;/span&gt; &lt;/b&gt;&lt;b&gt;&amp;nbsp;&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: center;"&gt;&lt;b&gt;Paperback:&lt;/b&gt; 992 pages,&amp;nbsp; &lt;b&gt;Publisher:&lt;/b&gt; Sybex; Pap/Cdr edition (August 1999),&amp;nbsp; &lt;b&gt;Language:&lt;/b&gt; English,&amp;nbsp; &lt;b&gt;ISBN-10:&lt;/b&gt; 0782124534,&amp;nbsp; &lt;b&gt;ISBN-13:&lt;/b&gt; 978-0782124538&lt;/div&gt;&lt;div style="text-align: center;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;ul style="text-align: center;"&gt;&lt;/ul&gt;&lt;ul style="text-align: center;"&gt;&lt;/ul&gt;&lt;div style="text-align: center;"&gt;&lt;span style="font-size: small;"&gt;&lt;b&gt;E-Book Description :&lt;/b&gt;&lt;/span&gt;&lt;/div&gt;&lt;div style="text-align: center;"&gt;UML and Rational Rose–Your Key to Efficient, Effective Application Design&lt;/div&gt;&lt;div style="text-align: center;"&gt;Mastering UML With Rational Rose offers expert instruction in the  areas you need to master if you want to develop truly optimal  application designs: the Unified Modeling Language, and Rational Rose,  the world’s leading visual modeling too. This book goes far beyond  modeling: it teaches you how to use Rose to turn your UML diagrams into  code–automatically, in the language of your choice. It also shows you  how to reverse-engineer your existing applications, so you can learn  more about how they’re put together and how they can best be maintained  and improved.&lt;/div&gt;&lt;br /&gt;&lt;br /&gt;Coverage includes:&lt;br /&gt;* Understanding UML&lt;br /&gt;* Finding your way around Rational Rose&lt;br /&gt;* Creating UML diagrams of all kinds&lt;br /&gt;* Adding detail to existing UML diagrams&lt;br /&gt;* Determining relationships and object behavior&lt;br /&gt;* Working with sequences and state transitions&lt;br /&gt;* Modeling according to use cases and actors&lt;br /&gt;* Representing classes and packages&lt;br /&gt;* Using Rose’s component and deployment views&lt;br /&gt;* Generating code automatically&lt;br /&gt;* Handling language-specific code generation issues&lt;br /&gt;* Generating Oracle8 database schemas&lt;br /&gt;* Reverse-engineering existing applications&lt;br /&gt;* Handling language-specific reverse-engineering issues&lt;br /&gt;&lt;br /&gt;E-Book&amp;nbsp; :&amp;nbsp; Mastering UML with Rational Rose 2002 | &lt;a href="http://download501.mediafire.com/x8s2ssi5efag/j1zfxtszqc9bayv/sybex_mastering_uml_with_rational_rose2002.pdf"&gt;Download&lt;/a&gt; |&lt;b&gt;&lt;br /&gt;&lt;/b&gt;&lt;br /&gt;&lt;div style="background-color: transparent; border: medium none; color: black; overflow: hidden; text-align: justify; text-decoration: none;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7081491926031542554-3916161215447064823?l=ekaprajawm.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://ekaprajawm.blogspot.com/feeds/3916161215447064823/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ekaprajawm.blogspot.com/2010/11/e-book-unified-modeling-language-uml.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/3916161215447064823'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/3916161215447064823'/><link rel='alternate' type='text/html' href='http://ekaprajawm.blogspot.com/2010/11/e-book-unified-modeling-language-uml.html' title='Mastering UML with Rational Rose 2002'/><author><name>Eka Praja Wiyata Mandala, S.Kom, M.Kom</name><uri>http://www.blogger.com/profile/07586923755631208807</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='22' height='32' src='http://3.bp.blogspot.com/_N3RxZg3GR34/TN6iokc4iVI/AAAAAAAAARw/aUlgLxwIuGs/S220/me6.png'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://2.bp.blogspot.com/_N3RxZg3GR34/TQmS2vFxzDI/AAAAAAAAAUQ/4EM7H-M355g/s72-c/0782140173.01._SCLZZZZZZZ_.jpg' height='72' width='72'/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7081491926031542554.post-281618316758813893</id><published>2010-11-22T20:40:00.000-08:00</published><updated>2010-11-22T23:25:05.678-08:00</updated><category scheme='http://www.blogger.com/atom/ns#' term='Buku Referensi'/><title type='text'>Buku Unified Modelling Language (UML)</title><content type='html'>&lt;table border="0" cellpadding="7" cellspacing="7"&gt;&lt;tbody&gt;&lt;tr&gt;     &lt;td valign="top" width="140"&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;img border="1" height="200" src="http://3.bp.blogspot.com/_N3RxZg3GR34/TOtebYs5Y4I/AAAAAAAAASg/dx9oVPX9520/s200/979-756-069-1.JPG" width="135" /&gt;&lt;/div&gt;&lt;/td&gt;     &lt;td valign="top"&gt;&lt;b&gt;PEMODELAN VISUAL DENGAN UML&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Pengarang : Munawar&lt;br /&gt;Penerbit : Graha Ilmu&lt;br /&gt;Tahun Terbit : 2007&lt;br /&gt;No ISBN : &lt;span class="teksisi"&gt;979-756-069-1&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;&lt;b&gt;&lt;span class="teksisi"&gt;Sinopsi dari Penerbit :&lt;/span&gt;&lt;/b&gt;&lt;br /&gt;&lt;span class="teksisi"&gt;- &lt;/span&gt;&lt;/td&gt;  &lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;hr /&gt;&lt;table border="0" cellpadding="7" cellspacing="7"&gt;&lt;tbody&gt;&lt;tr&gt; &lt;td valign="top" width="140"&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;img border="1" src="http://1.bp.blogspot.com/_N3RxZg3GR34/TOtfH6ODLeI/AAAAAAAAASk/FsTuW5kHmJk/s1600/computer_perancangan+obj+orientd+soft+dg+uml_m.jpg" /&gt;&lt;/div&gt;&lt;/td&gt;     &lt;td valign="top"&gt;&lt;b&gt;PERANCANGAN OBJECT ORIENTED SOFTWARE DENGAN UML&lt;/b&gt;     &lt;br /&gt;&lt;br /&gt;Pengarang : Djon Irwanto, S.Kom.,MM&lt;br /&gt;Penerbit : Penerbit Andi&lt;br /&gt;Tahun Terbit : 2007&lt;br /&gt;No ISBN : 979-763-157-5&lt;br /&gt;&lt;b&gt;&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;&lt;b&gt;&lt;span class="teksisi"&gt;Sinopsis dari Penerbit :&lt;/span&gt;&lt;/b&gt;&lt;br /&gt;Buku ini adalah buku yang mempresentasikan metodologi desain sistem  software dengan pendekatan object oriented secara komprehensif dan  jelas. Dengan demikian, para pembacanya dapat dengan mudah memahami  konsep, aktivitas, dan implementasi desain dengan pendekatan object  oriented. Notasi yang digunakan untuk merancang sistem software adalah  UML sehingga pembaca bisa leluasa menggunakan development tools dan case  tools pada saat implementasi desain. Oleh karena itu, buku ini sangat  cocok dijadikan buku pegangan bagi para siswa, akademisi, dan praktisi. &lt;span class="teksisi"&gt;&lt;/span&gt;&lt;/td&gt;   &lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;hr /&gt;&lt;table border="0" cellpadding="7" cellspacing="7"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td valign="top" width="140"&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;img border="1" height="200" src="http://2.bp.blogspot.com/_N3RxZg3GR34/TOtkkZS2gqI/AAAAAAAAASo/IfIG88seo_U/s200/images.jpg" width="128" /&gt;&lt;/div&gt;&lt;/td&gt;     &lt;td valign="top"&gt;&lt;b&gt;UML DISTILLED ED.3, PANDUAN SINGKAT BAHASA PEMODELAN OBJEK STANDAR&lt;/b&gt;     &lt;br /&gt;&lt;br /&gt;Pengarang : The Pearson Education, Inc&lt;br /&gt;Penerbit : Penerbit Andi&lt;br /&gt;Tahun Terbit : 2005&lt;br /&gt;No ISBN :&amp;nbsp;           979-731-756-0&lt;br /&gt;&lt;br /&gt;&lt;b&gt;&lt;span class="teksisi"&gt;Sinopsis dari Penerbit :&lt;/span&gt;&lt;/b&gt;&lt;br /&gt;Buku ini menjelaskan semua jenis diagram penting UML, apa saja  kegunaannya dan notasi dasar yang digunakan untuk membuat dan  mengartikannya. Diagram-diagram ini meliputi class, sequence, object,  package, deployment, use case, state machine, activity, communication,  composite structure, component, interaction overview, dan timing  diagram. Contoh-contoh dalam buku ini jelas dan penjelasannya mencapai  logika desain dasar.&lt;b&gt;&lt;span class="teksisi"&gt;&amp;nbsp;&lt;/span&gt;&lt;/b&gt; &lt;/td&gt;   &lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;hr /&gt;&lt;table border="0" cellpadding="7" cellspacing="7"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td valign="top" width="140"&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;img border="1" height="200" src="http://4.bp.blogspot.com/_N3RxZg3GR34/TOtqg5T3xoI/AAAAAAAAASw/1aadic6dD9g/s200/buku-rpl-uml-java-01.jpg" width="136" /&gt;&lt;/div&gt;&lt;/td&gt;     &lt;td valign="top"&gt;&lt;b&gt;REKAYASA PERANGKAT LUNAK MENGGUNAKAN UML DAN JAVA&lt;/b&gt;          &lt;br /&gt;&lt;br /&gt;Pengarang : Adi Nugroho&lt;br /&gt;Penerbit : Penerbit Andi&lt;br /&gt;Tahun Terbit : 2010&lt;br /&gt;No ISBN :&amp;nbsp; 978-979-29-0989-0&lt;br /&gt;&lt;br /&gt;&lt;b&gt;&lt;span class="teksisi"&gt;Sinopsis dari Penerbit :&lt;/span&gt;&lt;/b&gt;&lt;br /&gt;UML (Unified Modeling Language) saat ini adalah salah satu perkakas  (tool) yang sangat bermanfaat untuk melakukan analisis dan perancangan  sistem (baca: program aplikasi) dalam konteks “pemrograman berorientasi  objek”. Dalam buku Rekayasa Perangkat Lunak Menggunakan UML dan Java  ini, pembaca tidak dituntun untuk memahami UML, namun akan lebih  dituntun untuk memahami penggunaan teknik-teknik untuk melakukan  transformasi berbagai diagram UML yang paling umum ke kode-kode bahasa  pemrograman Java terkait (termasuk di dalamnya, pemahaman konsep dasar  MVC [Model-View-Controller] yang diimplementasikan dengan Spring MVC  serta konsep dasar ORM [Object Relational Mapping] yang  diimplementasikan dengan teknologi Hibernate). Dengan demikian, buku ini  akan menjadi sangat bermanfaat bagi mereka yang ingin mengembangkan  program aplikasi yang berparadigma “berorientasi objek”, yang  beradaptasi dengan pola pengembangan yang “benar”, mulai dari analisis,  perancangan, dan diikuti dengan tahapan implementasi (dalam konteks  bahasa pemrograman Java). &lt;/td&gt;   &lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;hr /&gt;&lt;table border="0" cellpadding="7" cellspacing="7"&gt;&lt;tbody&gt;&lt;tr&gt;&lt;td valign="top" width="140"&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;img border="1" height="200" src="http://4.bp.blogspot.com/_N3RxZg3GR34/TOtpmi1RSAI/AAAAAAAAASs/m6sQxxwMuiw/s200/tampilFotoBuku.asp.jpg" width="140" /&gt;&lt;/div&gt;&lt;/td&gt;     &lt;td valign="top"&gt;&lt;b&gt;ANALISA DESAIN DAN PEMROGRAMAN OBYEK DENGAN UML DAN VISUAL BASIC.NET&lt;/b&gt;          &lt;br /&gt;&lt;br /&gt;Pengarang : Julius Hermawan S.&lt;br /&gt;Penerbit : Penerbit Andi&lt;br /&gt;Tahun Terbit : 2004&lt;br /&gt;No ISBN :&amp;nbsp; 979-731-072-8&lt;br /&gt;&lt;br /&gt;&lt;b&gt;&lt;span class="teksisi"&gt;Sinopsis dari Penerbit :&lt;/span&gt;&lt;/b&gt;&lt;br /&gt;&lt;b&gt;-&lt;/b&gt;&lt;b&gt;&lt;span class="teksisi"&gt;&lt;/span&gt;&lt;/b&gt; &lt;/td&gt;   &lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;hr /&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7081491926031542554-281618316758813893?l=ekaprajawm.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://ekaprajawm.blogspot.com/feeds/281618316758813893/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ekaprajawm.blogspot.com/2010/11/buku-unified-modelling-language-uml.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/281618316758813893'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/281618316758813893'/><link rel='alternate' type='text/html' href='http://ekaprajawm.blogspot.com/2010/11/buku-unified-modelling-language-uml.html' title='Buku Unified Modelling Language (UML)'/><author><name>Eka Praja Wiyata Mandala, S.Kom, M.Kom</name><uri>http://www.blogger.com/profile/07586923755631208807</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='22' height='32' src='http://3.bp.blogspot.com/_N3RxZg3GR34/TN6iokc4iVI/AAAAAAAAARw/aUlgLxwIuGs/S220/me6.png'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://3.bp.blogspot.com/_N3RxZg3GR34/TOtebYs5Y4I/AAAAAAAAASg/dx9oVPX9520/s72-c/979-756-069-1.JPG' height='72' width='72'/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7081491926031542554.post-2099914702353180861</id><published>2010-11-12T00:54:00.000-08:00</published><updated>2010-11-12T01:03:45.495-08:00</updated><category scheme='http://www.blogger.com/atom/ns#' term='Teknik Informatika UPI YPTK Padang'/><title type='text'>Pengumpulan PKL Teknik Informatika Semester Ganjil 2010/2011</title><content type='html'>Diberitahukan kepada semua mahasiswa Teknik Informatika UPI "YPTK" Padang, yang mengambil &lt;b&gt;matakuliah Praktek Kerja Lapangan (PKL) / Kerja Praktek (KP)&lt;/b&gt;, bahwa :&lt;br /&gt;&lt;br /&gt;Pengumpulan Laporan PKL paling lambat :&lt;br /&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;b&gt;Hari / Tgl&amp;nbsp; : Selasa / 23 November 2010&lt;/b&gt;&lt;br /&gt;&lt;b&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; Tempat&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; : Counter IF di Sekretariat UPI "YPTK" dengan Bpk Hadi.&lt;/b&gt;&lt;br /&gt;dengan &lt;b&gt;mengisi buku Penerimaan Laporan PKL&lt;/b&gt;.&lt;br /&gt;&lt;br /&gt;Persyaratan untuk mengumpulkan Laporan PKL :&lt;br /&gt;&lt;b&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 1. Membawa KRS sebagai tanda bukti mengambil matakuliah PKL / KP&lt;/b&gt;&lt;br /&gt;&lt;b&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 2. Laporan PKL (Hard Copy) --- Tidak Dijilid&lt;/b&gt;&lt;br /&gt;&lt;b&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 3. Lampirkan Data yang diambil dari Instansi / Perusahaan (Jika Ada)&lt;/b&gt;&lt;br /&gt;&lt;b&gt;&amp;nbsp; &amp;nbsp;&amp;nbsp; 4. Lampirkan Surat Keterangan dari Instansi / Perusahaan (Jika Ada) &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;/b&gt;&amp;nbsp; &lt;br /&gt;&lt;br /&gt;Pengumuman Jadwal Presentasi PKL pada : &lt;b&gt;Kamis / 25 November 2010&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Presenstasi PKL akan dimulai pada : &lt;b&gt;Senin / 29 November 2010&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;&lt;b&gt;Jadwal Presentasi akan ditempel di Papan Pengumuman&lt;/b&gt; (Harap Dibaca)&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;Ttd,&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;b&gt;Bpk. Eka Praja Wiyata Mandala, S.Kom&lt;/b&gt;&lt;br /&gt;&lt;b&gt;Sekretaris Jurusan Teknik Informatika&lt;/b&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7081491926031542554-2099914702353180861?l=ekaprajawm.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://ekaprajawm.blogspot.com/feeds/2099914702353180861/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ekaprajawm.blogspot.com/2010/11/pengumpulan-pkl-teknik-informatika.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/2099914702353180861'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/2099914702353180861'/><link rel='alternate' type='text/html' href='http://ekaprajawm.blogspot.com/2010/11/pengumpulan-pkl-teknik-informatika.html' title='Pengumpulan PKL Teknik Informatika Semester Ganjil 2010/2011'/><author><name>Eka Praja Wiyata Mandala, S.Kom, M.Kom</name><uri>http://www.blogger.com/profile/07586923755631208807</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='22' height='32' src='http://3.bp.blogspot.com/_N3RxZg3GR34/TN6iokc4iVI/AAAAAAAAARw/aUlgLxwIuGs/S220/me6.png'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7081491926031542554.post-643972846446385819</id><published>2010-10-07T01:38:00.000-07:00</published><updated>2010-12-17T00:43:09.763-08:00</updated><category scheme='http://www.blogger.com/atom/ns#' term='Algoritma dan Pemrograman I'/><title type='text'>Materi Kuliah Algoritma dan Pemrograman I Semester Ganjil 2010/2011</title><content type='html'>&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;a href="http://3.bp.blogspot.com/_N3RxZg3GR34/TK2Hqsis8eI/AAAAAAAAARs/6SGduuup4VM/s1600/screenshot.36.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;img border="0" height="297" src="http://3.bp.blogspot.com/_N3RxZg3GR34/TK2Hqsis8eI/AAAAAAAAARs/6SGduuup4VM/s400/screenshot.36.jpg" width="400" /&gt;&lt;/a&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: center;"&gt;&lt;a href="http://3.bp.blogspot.com/_N3RxZg3GR34/TK2E1Wfd4JI/AAAAAAAAARo/SyY79knH6Qk/s1600/screenshot.36.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"&gt;&lt;br /&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;Materi Kuliah Algoritma dan Pemrograman I Semester Genap 2010/2011 :&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;&lt;b&gt;1. &lt;a href="http://download319.mediafire.com/1i0lqxi88hdg/yexzvvofjd2abqx/00.+Silabus.pdf"&gt;Silabus&lt;/a&gt;&lt;/b&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;&lt;b&gt;2. &lt;a href="http://download519.mediafire.com/dm97pxnmhk6g/65s321x0ausak8e/01.+Pengantar+Algoritma.pdf"&gt;Pengantar Algoritma&lt;/a&gt;&lt;/b&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; - Pengertian Algoritma&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; - Alat-alat Bantu dalam menggambarkan Algoritma&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; - Mekanisme Pelaksanaan Algoritma oleh Pemroses&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; - Simbol-simbol Flowchart Program&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;&lt;b&gt;3. &lt;a href="http://download355.mediafire.com/iuz4omse659g/lxy5wwc70z3aecu/02.+Struktur+Program+Variabel+Tipe+Data+Operator.pdf"&gt;Struktur Program, Variabel, Tipe Data dan Operator&lt;/a&gt;&lt;/b&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; - Struktur Program&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; - Variabel&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; - Tipe Data&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; - Operator&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;&lt;b&gt;4. &lt;a href="http://download656.mediafire.com/qf9lay1q7bsg/yl12y82bpihycc8/03.+Struktur+Kondisi+-+Percabangan.pdf"&gt;Struktur Kondisi - Percabangan&lt;/a&gt;&lt;/b&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; - Pernyataan &lt;b&gt;if sederhana&lt;/b&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; - Pernyataan &lt;b&gt;if ... else ...&lt;/b&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; - Pernyataan &lt;b&gt;if bersarang (nested if)&lt;/b&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; - Pernyataan &lt;b&gt;switch&lt;/b&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;&lt;b&gt;5. &lt;a href="http://download789.mediafire.com/p70a3c1miung/9ip1enbe85o8aqg/04.+Struktur+Kendali+Perulangan.pdf"&gt;Struktur Kendali Perulangan&lt;/a&gt;&lt;/b&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; - Pernyataan &lt;b&gt;for&lt;/b&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; - Pernyataan &lt;b&gt;while&lt;/b&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; - Pernyataan &lt;b&gt;do ... while ...&lt;/b&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;&lt;b&gt;6. &lt;a href="http://download29.mediafire.com/1k945fd4jygg/1h5lipi9h8d970n/05.+Fungsi.ppt"&gt;Fungsi&lt;/a&gt;&lt;/b&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; - Bentuk umum fungsi&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; - Bahan Praktikum&lt;b&gt;&lt;/b&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;&lt;b&gt;7. &lt;a href="http://download1183.mediafire.com/sqdapqhdd1vg/8j8pjzc75on1yaf/06.+Array.ppt"&gt;Array&lt;/a&gt;&lt;/b&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; - Array Berdimensi Satu&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; - Array Berdimensi Dua&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp; - Array Berdimensi Tiga&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;Berikut dilampirkan contoh program gabungan antara Fungsi dan Array..&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;Pelajari program ini untuk persiapan Ujian Akhir Semester.&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;Download program : &lt;b&gt;&lt;a href="http://download546.mediafire.com/cup7g21kwa1g/hlnh05nj70se72x/arrayFungsi.c"&gt;Fungsi dan Array&lt;/a&gt;&lt;/b&gt;&lt;/div&gt;&lt;div class="separator" style="clear: both; text-align: left;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7081491926031542554-643972846446385819?l=ekaprajawm.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://ekaprajawm.blogspot.com/feeds/643972846446385819/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ekaprajawm.blogspot.com/2010/10/materi-kuliah-algoritma-dan-pemrograman.html#comment-form' title='3 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/643972846446385819'/><link 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width='72'/><thr:total>3</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7081491926031542554.post-3096515045246609193</id><published>2010-09-25T02:59:00.001-07:00</published><updated>2010-09-25T03:00:59.028-07:00</updated><category scheme='http://www.blogger.com/atom/ns#' term='ANDA HARUS MEMBACA INI'/><title type='text'>http://www.readbud.com/</title><content type='html'>&lt;a href="http://www.readbud.com/?ref=4912552"&gt;&lt;img alt="readbud - get paid to read and rate articles" border="0" src="http://www.readbud.com/images/468_60_banner.jpg" /&gt;&lt;/a&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7081491926031542554-3096515045246609193?l=ekaprajawm.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://ekaprajawm.blogspot.com/feeds/3096515045246609193/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ekaprajawm.blogspot.com/2010/09/httpwwwreadbudcom.html#comment-form' title='1 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/3096515045246609193'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/3096515045246609193'/><link rel='alternate' type='text/html' href='http://ekaprajawm.blogspot.com/2010/09/httpwwwreadbudcom.html' title='http://www.readbud.com/'/><author><name>Eka Praja Wiyata Mandala, S.Kom, M.Kom</name><uri>http://www.blogger.com/profile/07586923755631208807</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='22' height='32' src='http://3.bp.blogspot.com/_N3RxZg3GR34/TN6iokc4iVI/AAAAAAAAARw/aUlgLxwIuGs/S220/me6.png'/></author><thr:total>1</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7081491926031542554.post-1045915753247376531</id><published>2010-09-04T11:18:00.000-07:00</published><updated>2010-09-04T11:21:48.804-07:00</updated><category scheme='http://www.blogger.com/atom/ns#' term='Renungan'/><title type='text'>Ketika Iblis Bertamu Kepada Rasulullah SAW</title><content type='html'>&lt;div style="text-align: center;"&gt;&lt;img alt="" src="data:image/png;base64,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" /&gt;&amp;nbsp;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;br /&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Assalamualaikum Wr.Wb&lt;br /&gt;Bismillahirrahmanirrahim..&lt;/b&gt;&lt;/div&gt;&lt;div&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Iblis Terpaksa Bertamu Kepada Rasulullah SAW&lt;br /&gt;(Dari Muadz bin Jabal dari Ibn Abbas)&lt;/b&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Ketika kami sedang bersama  Rasulullah SAW di kediaman seorang sahabat Anshar, tiba-tiba terdengar  panggilan seseorang dari luar rumah:&lt;/b&gt; “Wahai penghuni rumah, bolehkah aku masuk? Sebab kalian akan membutuhkanku.”&lt;br /&gt;&lt;b&gt;Rasulullah bersabda:&lt;/b&gt; “Tahukah kalian siapa yang memanggil?”&lt;br /&gt;&lt;b&gt;Kami menjawab:&lt;/b&gt; “Allah dan RasulNya yang lebih tahu.”&lt;br /&gt;&lt;b&gt;Beliau melanjutkan:&lt;/b&gt; “Itu Iblis, laknat Allah bersamanya.”&lt;br /&gt;&lt;b&gt;Umar bin Khattab berkata:&lt;/b&gt; “Izinkan aku membunuhnya wahai Rasulullah”.&lt;br /&gt;&lt;b&gt;Rasulullah menahannya:&lt;/b&gt; “Sabar wahai Umar, bukankah kamu  tahu bahwa Allah memberinya kesempatan hingga hari kiamat? Lebih baik  bukakan pintu untuknya, sebab dia telah diperintahkan oleh Allah untuk  ini, pahamilah apa yang hendak ia katakan dan dengarkan dengan baik.”&lt;/div&gt;&lt;b&gt;Ibnu Abbas RA berkata:&lt;/b&gt; “Pintu lalu dibuka, ternyata dia  seperti seorang kakek yang cacat satu matanya. Di janggutnya terdapat 7  helai rambut seperti rambut kuda, taringnya terlihat seperti taring  babi, bibirnya seperti bibir sapi.”&lt;br /&gt;&lt;div style="text-align: justify;"&gt;&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Iblis berkata:&lt;/b&gt; “Salam untukmu Muhammad. Salam untukmu para hadirin…”&lt;br /&gt;&lt;b&gt;Rasulullah SAW lalu menjawab:&lt;/b&gt; “Salam hanya milik Allah SWT, sebagai mahluk terlaknat, apa keperluanmu?”&lt;br /&gt;&lt;b&gt;Iblis menjawab:&lt;/b&gt; “Wahai Muhammad, aku datang ke sini bukan atas kemauanku, namun karena terpaksa.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah bertanya:&lt;/b&gt; “Siapa yang memaksamu?”&lt;br /&gt;&lt;b&gt;Iblis mejawab:&lt;/b&gt; Seorang malaikat dari utusan Allah telah mendatangiku dan berkata:&lt;br /&gt;“Allah SWT memerintahkanmu untuk mendatangi Muhammad sambil menundukkan  diri. Beritahu Muhammad tentang caramu dalam menggoda manusia. Jawabalah  dengan jujur semua pertanyaannya. Demi kebesaran Allah, andai kau  berdusta satu kali saja, maka Allah akan jadikan dirimu debu yang ditiup  angin. Oleh karena itu aku sekarang mendatangimu. Tanyalah apa yang  hendak kau tanyakan. Jika aku berdusta, aku akan dicaci oleh setiap  musuhku. Tidak ada sesuatu pun yang paling besar menimpaku daripada  cacian musuh.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah SAW lalu bertanya kepada Iblis:&lt;/b&gt; “Kalau kau benar jujur, siapakah manusia yang paling kau benci?”&lt;br /&gt;&lt;b&gt;Iblis segera menjawab:&lt;/b&gt; “Kamu, kamu dan orang sepertimu adalah mahkluk Allah yang paling aku benci.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Siapa selanjutnya?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Pemuda yang bertakwa yang memberikan dirinya mengabdi kepada Allah SWT.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Lalu siapa lagi?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Orang Aliim dan wara’ (Loyal)”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Lalu siapa lagi?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Orang yang selalu bersuci.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Siapa lagi?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Seorang fakir yang sabar dan tak pernah mengeluhkan kesulitannnya kepda orang lain.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Apa tanda kesabarannya?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Wahai Muhammad, jika ia tidak mengeluhkan  kesulitannya kepada orang lain selama 3 hari, Allah akan memberi pahala  orang -orang yang sabar.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; ” Selanjutnya apa?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Orang kaya yang bersyukur.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Apa tanda kesyukurannya?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Ia mengambil kekayaannya dari tempatnya, dan mengeluarkannya juga dari tempatnya.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Orang seperti apa Abu Bakar menurutmu?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Ia tidak pernah menurutiku di masa jahiliyah, apalagi dalam Islam.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Umar bin Khattab?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Demi Allah setiap berjumpa dengannya aku pasti kabur.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Usman bin Affan?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Aku malu kepada orang yang malaikat pun malu kepadanya.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Ali bin Abi Thalib?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Aku berharap darinya agar kepalaku selamat, dan  berharap ia melepaskanku dan aku melepaskannya. tetapi ia tak akan mau  melakukan itu.” (Ali bin Abi Thalib selau berdzikir terhadap Allah SWT)&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Apa yang kau rasakan jika melihat seseorang dari umatku yang hendak shalat?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Aku merasa panas dingin dan gemetar.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Kenapa?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Sebab, setiap seorang hamba bersujud 1x kepada Allah, Allah mengangkatnya 1 derajat.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Jika seorang umatku berpuasa?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Tubuhku terasa terikat hingga ia berbuka.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Jika ia berhaji?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Aku seperti orang gila.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Jika ia membaca al-Quran?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Aku merasa meleleh laksana timah diatas api.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Jika ia bersedekah?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Itu sama saja orang tersebut membelah tubuhku dengan gergaji.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Mengapa bisa begitu?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Sebab dalam sedekah ada 4 keuntungan baginya.  Yaitu keberkahan dalam hartanya, hidupnya disukai, sedekah itu kelak  akan menjadi hijab antara dirinya dengan api neraka dan segala macam  musibah akan terhalau dari dirinya.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Apa yang dapat mematahkan pinggangmu?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Suara kuda perang di jalan Allah.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Apa yang dapat melelehkan tubuhmu?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Taubat orang yang bertaubat.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Apa yang dapat membakar hatimu?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Istighfar di waktu siang dan malam.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Apa yang dapat mencoreng wajahmu?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Sedekah yang diam – diam.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Apa yang dapat menusuk matamu?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Shalat fajar.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Apa yang dapat memukul kepalamu?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; &lt;b&gt;Iblis:&lt;/b&gt; “Shalat berjamaah.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Apa yang paling mengganggumu?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Majelis para ulama.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Bagaimana cara makanmu?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Dengan tangan kiri dan jariku.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Dimanakah kau menaungi anak – anakmu di musim panas?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Di bawah kuku manusia.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah lalu bertanya:&lt;/b&gt; “Siapa temanmu wahai Iblis?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Pemakan riba.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Siapa sahabatmu?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Pezina.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Siapa teman tidurmu?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Pemabuk.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Siapa tamumu?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Pencuri.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Siapa utusanmu?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Tukang sihir.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Apa yang membuatmu gembira?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Bersumpah dengan cerai.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Siapa kekasihmu?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Orang yang meninggalkan shalat jumaat”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Siapa manusia yang paling membahagiakanmu?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Orang yang meninggalkan shalatnya dengan sengaja.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah SAW lalu bersabda:&lt;/b&gt; “Segala puji bagi Allah yang telah membahagiakan umatku dan menyengsarakanmu.”&lt;br /&gt;&lt;b&gt;Iblis segera menimpali:&lt;/b&gt;&lt;br /&gt;“Tidak,tidak.. tak akan ada kebahagiaan selama aku hidup hingga hari akhir.&lt;br /&gt;Bagaimana kau bisa berbahagia dengan umatmu, sementara aku bisa masuk ke  dalam aliran darah mereka dan mereka tak bisa melihatku. Demi yang  menciptakan diriku dan memberikanku kesempatan hingga hari akhir, aku  akan menyesatkan mereka semua. Baik yang bodoh, atau yang pintar, yang  bisa membaca dan tidak bisa membaca, yang durjana dan yang shaleh,  kecuali hamba Allah yang ikhlas.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Siapa orang yang ikhlas menurutmu?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “Tidakkah kau tahu wahai Muhammad, bahwa barang  siapa yang menyukai emas dan perak, ia bukan orang yang ikhlas. Jika kau  lihat seseorang yang tidak menyukai dinar dan dirham, tidak suka pujian  dan sanjunang, aku bisa pastikan bahwa ia orang yang ikhlas, maka aku  meninggalkannya. Selama seorang hamba masih menyukai harta dan sanjungan  dan hatinya selalu terikat dengan kesenangan dunia, ia sangat patuh  padaku.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Tahukah kamu Muhammad?&lt;/b&gt;  Bahwa aku mempunyai 70.000 anak. Dan setiap anak memiliki 70.000  syaithan. Sebagian ada yang aku tugaskan untuk mengganggu ulama.  Sebagian untuk menggangu anak – anak muda, sebagian untuk menganggu  orang -orang tua, sebagian untuk menggangu wanta – wanita tua, sebagian  anak -anakku juga aku tugaskan kepada para Zahid. Aku punya anak yang  suka mengencingi telinga manusia sehingga ia tidur pada shalat  berjamaah. tanpanya, manusia tidak akan mengantuk pada waktu shalat  berjamaah. Aku punya anak yang suka menaburkan sesuatu di mata orang  yang sedang mendengarkan ceramah ulama hingga mereka tertidur dan  pahalanya terhapus. Aku punya anak yang senang berada di lidah manusia,  jika seseorang melakukan kebajikan lalu ia beberkan kepada manusia, maka  99% pahalanya akan terhapus. Pada setiap seorang wanita yang berjalan,  anakku dan syaithan duduk di pinggul dan pahanya, lalu menghiasinya agar  setiap orang memandanginya.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Syaithan juga berkata:&lt;/b&gt;  “Keluarkan tanganmu”, lalu ia mengeluarkan tangannya lalu syaithan pun  menghiasi kukunya. “Mereka, anak – anakku selalu meyusup dan berubah  dari satu kondisi ke kondisi lainnya, dari satu pintu ke pintu yang  lainnya untuk menggoda manusia hingga mereka terhempas dari keikhlasan  mereka. Akhirnya mereka menyembah Allah tanpa ikhlas, namun mereka tidak  merasa. Tahukah kamu, Muhammad? bahwa ada rahib yang telah beribadat  kepada Allah selama 70 tahun. Setiap orang sakit yang didoakan olehnya,  sembuh seketika. Aku terus menggodanya hingga ia berzina, membunuh dan  kufur.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Tahukah kau Muhammad?&lt;/b&gt;  Dusta berasal dari diriku. Akulah mahluk pertama yang berdusta. Pendusta  adalah sahabatku. Barangsiapa bersumpah dengan berdusta, ia kekasihku.&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Tahukah kau Muhammad?&lt;/b&gt;  Aku bersumpah kepada Adam dan Hawa dengan nama Allah bahwa aku benar –  benar menasihatinya. Sumpah dusta adalah kegemaranku. Ghibah (gossip)  dan Namimah (Adu domba) kesenanganku. Kesaksian palsu kegembiraanku.  Orang yang bersumpah untuk menceraikan istrinya ia berada di pinggir  dosa walau hanya sekali dan walaupun ia benar. Sebab barang siapa  membiasakan dengan kata – kata cerai, isterinya menjadi haram baginya.  Kemudian ia akan beranak cucu hingga hari kiamat. jadi semua anak – anak  zina dan ia masuk neraka hanya karena satu kalimat, CERAI.&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Wahai Muhammad&lt;/b&gt;, Umatmu  ada yang suka mengulur ulur shalat. Setiap ia hendak berdiri untuk  shalat, aku bisikan padanya waktu masih lama, kamu masih sibuk, lalu ia  manundanya hingga ia melaksanakan shalat di luar waktu, maka shalat itu  dipukulkannya kemukanya.&lt;br /&gt;Jika ia berhasil mengalahkanku, aku biarkan ia shalat. Namun aku  bisikkan ke telinganya ‘lihat kiri dan kananmu’, iapun menoleh. pada  saat iatu aku usap dengan tanganku dan kucium keningnya serta aku  katakan ’shalatmu tidak sah’&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Bukankah kamu tahu Muhammad?&lt;/b&gt;  Orang yang banyak menoleh dalam shalatnya akan dipukul. Jika ia shalat  sendirian, aku suruh dia untuk bergegas. ia pun shalat seperti ayam yang  mematuk beras. Jjika ia berhasil mengalahkanku dan ia shalat berjamaah,  aku ikat lehernya dengan tali, hingga ia mengangkat kepalanya sebelum  imam, atau meletakkannya sebelum imam. Kamu tahu bahwa melakukan itu  batal shalatnya dan wajahnya akan dirubah menjadi wajah keledai. Jika ia  berhasil mengalahkanku, aku tiup hidungnya hingga ia menguap dalam  shalat. Jika ia tidak menutup mulutnya ketika mnguap, syaithan akan  masuk ke dalamdirinya, dan membuatnya menjadi bertambah serakah dan gila  dunia. Dan iapun semakin taat padaku.&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Kebahagiaan apa untukmu?&lt;/b&gt;  Sedang aku memerintahkan orang miskin agar meninggalkan shalat. aku  katakan padaknya, ‘kamu tidak wajib shalat, shalat hanya wajib untuk  orang yang berkecukupan dan sehat. orang sakit dan miskin tidak, jika  kehidupanmu telah berubah baru kau shalat.’ Ia pun mati dalam kekafiran.  Jika ia mati sambil meninggalkan shalat maka Allah akan menemuinya  dalam kemurkaan.&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Wahai Muhammad&lt;/b&gt;, jika aku berdusta Allah akan menjadikanku debu.&lt;br /&gt;&lt;b&gt;Wahai Muhammad&lt;/b&gt;, apakah kau akan bergembira dengan umatmu padahal aku mengeluarkan seperenam mereka dari islam?”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah bertanya:&lt;/b&gt; “Berapa hal yang kau pinta dari Tuhanmu?”&lt;br /&gt;&lt;b&gt;Iblis:&lt;/b&gt; “10 macam”&lt;br /&gt;&lt;b&gt;Rasulullah:&lt;/b&gt; “Apa saja?”&lt;br /&gt;&lt;b&gt;Iblis mejawab:&lt;/b&gt;&lt;br /&gt;&lt;b&gt;1.&lt;/b&gt; Aku minta agar Allah membiarkanku berbagi dalam  harta dan anak manusia, Allah mengizinkan. Allah berfirman: “Berbagilah  dengan manusia dalam harta dan anak. dan janjikanlah mereka, tidaklah  janji setan kecuali tipuan.” (QS Al-Isra :64). Harta yang tidak  dizakatkan, aku makan darinya. Aku juga makan dari makanan haram dan  yang bercampur dengan riba, aku juga makan dari makanan yang tidak  dibacakan nama Allah.&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;2.&lt;/b&gt; Aku minta agar Allah  membiarkanku ikut bersama dengan orang yang berhubungan dengan istrinya  tanpa berlindung dengan Allah, maka setan ikut bersamanya dan anak yang  dilahirkan akan sangat patuh kepada syaithan.&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;3.&lt;/b&gt; Aku minta agar bisa ikut bersama dengan orang yang menaiki kendaraan bukan untuk tujuan yang halal.&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;4.&lt;/b&gt; Aku minta agar Allah menjadikan kamar mandi sebagai rumahku.&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;5.&lt;/b&gt; Aku minta agar Allah menjadikan pasar sebagai masjidku.&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;6.&lt;/b&gt; Aku minta agar Allah menjadikan syair sebagai Quranku.&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;7.&lt;/b&gt; Aku minta agar Allah menjadikan pemabuk sebagai teman tidurku.&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;8.&lt;/b&gt; Aku minta agar Allah  memberikanku saudara, maka Ia jadikan orang yang membelanjakan hartanya  untuk maksiat sebagai saudaraku. Allah berfirman: “Orang -orang boros  adalah saudara – saudara syaithan.” (QS Al-Isra : 27).&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;9.&lt;/b&gt; Wahai Muhammad, aku minta agar Allah membuatku bisa melihat manusia sementara mereka tidak bisa melihatku.&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;10.&lt;/b&gt; Dan aku minta agar  Allah memberiku kemampuan untuk mengalir dalam aliran darah manusia.  Allah menjawab: “Silahkan”, dan aku bangga dengan hal itu hingga hari  kiamat. Sebagian besar manusia bersamaku di hari kiamat.&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Iblis berkata:&lt;/b&gt; “Wahai  muhammad, aku tak bisa menyesatkan orang sedikitpun, aku hanya bisa  membisikan dan menggoda. Jika aku bisa menyesatkan, tak akan tersisa  seorangpun…!! Sebagaimana dirimu, kamu tidak bisa memberi hidayah  sedikitpun, engkau hanya rasul yang menyampaikan amanah.&lt;br /&gt;Jika kau bisa memberi hidayah, tak akan ada seorang kafir pun di muka  bumi ini. Kau hanya bisa menjadi penyebab untuk orang yang telah  ditentukan sengsara. Orang yang bahagia adalah orang yang telah ditulis  bahagia sejak di perut ibunya. Dan orang yang sengsara adalah orang yang  telah ditulis sengsara semenjak dalam kandungan ibunya.”&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Rasulullah SAW lalu membaca ayat:&lt;/b&gt;&lt;br /&gt;“Mereka akan terus berselisih kecuali orang yang dirahmati oleh Allah SWT.” (QS Hud :118 – 119)&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Juga membaca:&lt;/b&gt;&lt;br /&gt;“Sesungguhnya ketentuan Allah pasti berlaku.” (QS Al-Ahzab : 38)&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;b&gt;Iblis lalu berkata:&lt;/b&gt;&lt;br /&gt;“Wahai Muhammad Rasulullah, takdir telah ditentukan dan pena takdir  telah kering. Maha Suci Allah yang menjadikanmu pemimpin para nabi dan  rasul, pemimpin penduduk surga, dan yang telah menjadikan aku pemimpin  mahluk mahluk celaka dan pemimpin penduduk neraka. aku si celaka yang  terusir, ini akhir yang ingin aku sampaikan kepadamu. dan aku tak  berbohong.”&lt;/div&gt;&lt;h1 style="text-align: justify;"&gt;SEMOGA KITA TERMASUK GOLONGAN ORANG YANG DILINDUNGI OLEH ALLAH SWT. AMIEN YA ROBBAL AL AMIEN..&lt;/h1&gt;&lt;div style="text-align: justify;"&gt;Sumber : &lt;a href="http://rileks.com/"&gt;rileks.com&lt;/a&gt; , &lt;a href="http://indobestseller.wordpress.com/"&gt;indobestseller.wordpress.com&lt;/a&gt; , &lt;a href="http://www.utuhwibowo.com/top-blogger-indonesia-pakar-it-indonesia-ketika-iblis-bertamu-kepada-rasulullah.html"&gt;http://www.utuhwibowo.com&lt;/a&gt;&lt;/div&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/7081491926031542554-1045915753247376531?l=ekaprajawm.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://ekaprajawm.blogspot.com/feeds/1045915753247376531/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://ekaprajawm.blogspot.com/2010/09/ketika-iblis-bertamu-kepada-rasulullah.html#comment-form' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/1045915753247376531'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/7081491926031542554/posts/default/1045915753247376531'/><link rel='alternate' type='text/html' href='http://ekaprajawm.blogspot.com/2010/09/ketika-iblis-bertamu-kepada-rasulullah.html' title='Ketika Iblis Bertamu Kepada Rasulullah SAW'/><author><name>Eka Praja Wiyata Mandala, S.Kom, M.Kom</name><uri>http://www.blogger.com/profile/07586923755631208807</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='22' height='32' src='http://3.bp.blogspot.com/_N3RxZg3GR34/TN6iokc4iVI/AAAAAAAAARw/aUlgLxwIuGs/S220/me6.png'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-7081491926031542554.post-4567203741917021888</id><published>2010-09-02T18:35:00.000-07:00</published><updated>2010-09-02T18:42:04.345-07:00</updated><category scheme='http://www.blogger.com/atom/ns#' term='Customize'/><title type='text'>Tips dan Rahasia Mempercepat Koneksi Internet</title><content type='html'>&lt;div style="text-align: center;"&gt;&lt;img alt="" 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
