KLASIFIKASI TEKS MENGGUNAKAN CHI SQUARE FEATURE SELECTION UNTUK MENENTUKAN KOMIK BERDASARKAN PERIODE, MATERI DAN FISIKDENGAN ALGORITMA NAIVEBAYES

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Title KLASIFIKASI TEKS MENGGUNAKAN CHI SQUARE FEATURE SELECTION UNTUK MENENTUKAN KOMIK BERDASARKAN PERIODE, MATERI DAN FISIKDENGAN ALGORITMA NAIVEBAYES
 
Creator Anisah, Siti
Honggowibowo, Anton Setiawan
Pujiastuti, Asih
 
Subject
Chi Square Feature Selection, Naive Bayes Algorithm, Comic, Period, Content, Physic.
 
Description A comic has its own characteristics compared the other types of books. The difference between comic and other books can be seen from the category o f period, material and physical. Comicand other booksneeded an application o f classification system. Looking for the problem, classification system was made using Chi Square Feature Selection and Naive Bayes algorithm to determine the comic based on the period, material and physical. Delphi programming language and Oracle Database are used to build the Classification System. Chi Square Feature Selection acquired trait a comic is in 0.10347 and which not comic is in 1.9531. Furthermore, data is classified by the Naive Bayes algorithm. From 120 titles o f comic that consists 60 titles o f comic and non comicused to build classesfor trainand 60 titles o f comic and non comic used to test. The results o f Naive Bayesalgorithm for comic is 96,67%with 3.33% error rate, and non comic is 90% with 10% error rate. The classification to determine comic is good.
 
Publisher Sekolah Tinggi Teknologi Adisutjipto Yogyakarta
 
Contributor
 
Date 2016-11-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion


 
Format application/pdf
 
Identifier http://ejournals.stta.ac.id/index.php/compiler/article/view/171
10.28989/compiler.v5i2.171
 
Source Compiler; Vol 5, No 2 (2016): November
2549-2403
2252-3839
10.28989/compiler.v5i2
 
Language ind
 
Relation http://ejournals.stta.ac.id/index.php/compiler/article/view/171/165
 
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Rights Copyright (c) 2017 Compiler
 

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