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ITS » Undergraduate Theses » Teknologi Informasi - D4
Posted by ansi@its.ac.id at 27/05/2011 13:52:53  •  4294 Views


KLASIFIKASI SPAM EMAIL DENGAN METODE NAVE BAYES CLASSIFIER

SPAM EMAIL CLASSIFICATION WITH NAVE BAYES CLASSIFIER METHODE

Author :
ANUGROHO, PRASETYO  ( 7406040051 )




ABSTRAK

Internet telah menjadi salah satu hal yang penting dalam perkembangan sarana komunikasi. Salah satu fasilitas yang terdapat pada internet adalah surat elektronik atau yang lebih dikenal sebagai e-mail. Fasilitas e-mail yang mudah digunakan dan murah mengakibatkan banyaknya e-mail yang berisi iklan dan promosi bisnis masuk ke dalam inbox pengguna email. Email iklan inilah yang disebut sebagai spam mail. Untuk mencegah hal ini dibuatlah software yang berguna sebagai spam filter untuk menyaring e-mail yang masuk ke dalam inbox pengguna fasilitas e-mail. Pemrograman spam filter pada tugas akhir ini menggunakan algoritma yang dinamakan Naive Bayes Classifier. Metode ini dipilih selain karena merupakan pengembangan terbaru dari pemrograman spam filter juga karena algoritma ini memiliki tingkat keakuratan yang lebih tinggi dibandingkan dengan algoritma sebelumnya contoh NN Classifier.Dengan menggunakan Pemrograman Java program spam filter dengan algoritma Naive Bayes Classifier telahberhasil dibuat. Dengan program ini dilakukan beberapa percobaan yang berhasil membuktikan bahwa algoritma ini mampu mengidentifikasikan spam dengan beberapa syarat dan kondisi secara lebih akurat. Pembuatan program untuk sistem klasifikasi email dapat dilakukan 2 cara yaitu system klasifikasi dapat beroperasi pada mail client offline dan dapat beroperasi pada mail server online.


ABSTRACT

The Internet has become one of the things that are mportant in future communication development . One of the internet facility is electronic mail or better known as e-mail. Email facilitiy is easy to use and inexpensive resulted in many emails that contain advertising and promotion business into the users email inbox. This E-mail is called spam mail. To prevent we can build a software that is useful to filtering spam e-mail in users inbox. spam filter on this final algorithm called Naive Bayes classifier. This method was chosen not only it is the latest development of programming spam filters but also this algorithm has higher accuracy compared with previous algorithms eg NN Classifier. Using the Java Programming spam filter program with Naive Bayes classifier algorithm has been successfully created . With this program performed several experiments that proved that this algorithm is able to identify spam with some terms and conditions more accurately. Preparation courses for email classification system can be done two ways namely the classification system can operate on the mail client offline and the mail server online.



Keywordsspam; spam filter; naive bayes classifier; online; offline; mail server; mail client
 
Subject:  komponen elektronika
Contributor
  1. IDRIS WINARNO, S.ST, M.Kom
  2. NUR ROSYID MUBTADA’I, S.Kom
Date Create: 09/08/2010
Type: Text
Format: pdf
Language: Indonesian
Identifier: ITS-Undergraduate-3100010041144
Collection ID: 3100010041144
Call Number: RSEP 004.692 Anu k


Source
Undergraduate Thesis, Informatics, RSEP 004.692 Anu k, 2010

Coverage
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Rights
Copyright @2010 by ITS Library. This publication is protected by copyright and per obtained from the ITS Library prior to any prohibited reproduction, storage in a re transmission in any form or by any means, electronic, mechanical, photocopying, reco For information regarding permission(s), write to ITS Library




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  1.  ITS-Undergraduate-14638-abstract-idpdf.pdf - 106 KB
  2.  ITS-Undergraduate-14638-abstract-enpdf.pdf - 109 KB
  3.  ITS-Undergraduate-14638-conclusionspdf.pdf - 114 KB




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