Feature Selection Klasifikasi Kategori Cerita Pendek Menggunakan Naïve Bayes dan Algoritme Genetika
Classification of short stories category based on age of the reader is still difficult. Therefore, a decision support system to classify the short stories category is needed. Naïve Bayes is one of methods suitable for short stories classification. However, Naïve Bayes has flaws in accuracy level, an...
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Format: | Article |
Language: | English |
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Universitas Gadjah Mada
2017-08-01
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Series: | Jurnal Nasional Teknik Elektro dan Teknologi Informasi |
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Online Access: | http://ejnteti.jteti.ugm.ac.id/index.php/JNTETI/article/view/332 |
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author | Oman Somantri Mohammad Khambali |
author_facet | Oman Somantri Mohammad Khambali |
author_sort | Oman Somantri |
collection | DOAJ |
description | Classification of short stories category based on age of the reader is still difficult. Therefore, a decision support system to classify the short stories category is needed. Naïve Bayes is one of methods suitable for short stories classification. However, Naïve Bayes has flaws in accuracy level, and needs to be optimized. In this paper, Genetic algorithm is proposed to increase the level of accuracy. In this case, genetic algorithm is used for feature selection. The results show an increase in the level of accuracy produced. The accuracy increases from 78,59% to 84,29%. In conclusion, the application of genetic algorithm on Naïve Bayes in classifying the online short stories category can improve the accuracy. |
first_indexed | 2024-12-11T15:12:43Z |
format | Article |
id | doaj.art-d6dd5b29c12d4f468bb83ff2218327ea |
institution | Directory Open Access Journal |
issn | 2301-4156 2460-5719 |
language | English |
last_indexed | 2024-12-11T15:12:43Z |
publishDate | 2017-08-01 |
publisher | Universitas Gadjah Mada |
record_format | Article |
series | Jurnal Nasional Teknik Elektro dan Teknologi Informasi |
spelling | doaj.art-d6dd5b29c12d4f468bb83ff2218327ea2022-12-22T01:00:43ZengUniversitas Gadjah MadaJurnal Nasional Teknik Elektro dan Teknologi Informasi2301-41562460-57192017-08-016330130610.22146/jnteti.v6i3.332Feature Selection Klasifikasi Kategori Cerita Pendek Menggunakan Naïve Bayes dan Algoritme GenetikaOman Somantri0Mohammad Khambali 1Politeknik Harapan Bersama TegalPoliteknik Negeri SemarangClassification of short stories category based on age of the reader is still difficult. Therefore, a decision support system to classify the short stories category is needed. Naïve Bayes is one of methods suitable for short stories classification. However, Naïve Bayes has flaws in accuracy level, and needs to be optimized. In this paper, Genetic algorithm is proposed to increase the level of accuracy. In this case, genetic algorithm is used for feature selection. The results show an increase in the level of accuracy produced. The accuracy increases from 78,59% to 84,29%. In conclusion, the application of genetic algorithm on Naïve Bayes in classifying the online short stories category can improve the accuracy.http://ejnteti.jteti.ugm.ac.id/index.php/JNTETI/article/view/332klasifikasikategori cerpennaive bayesalgoritme genetika |
spellingShingle | Oman Somantri Mohammad Khambali Feature Selection Klasifikasi Kategori Cerita Pendek Menggunakan Naïve Bayes dan Algoritme Genetika Jurnal Nasional Teknik Elektro dan Teknologi Informasi klasifikasi kategori cerpen naive bayes algoritme genetika |
title | Feature Selection Klasifikasi Kategori Cerita Pendek Menggunakan Naïve Bayes dan Algoritme Genetika |
title_full | Feature Selection Klasifikasi Kategori Cerita Pendek Menggunakan Naïve Bayes dan Algoritme Genetika |
title_fullStr | Feature Selection Klasifikasi Kategori Cerita Pendek Menggunakan Naïve Bayes dan Algoritme Genetika |
title_full_unstemmed | Feature Selection Klasifikasi Kategori Cerita Pendek Menggunakan Naïve Bayes dan Algoritme Genetika |
title_short | Feature Selection Klasifikasi Kategori Cerita Pendek Menggunakan Naïve Bayes dan Algoritme Genetika |
title_sort | feature selection klasifikasi kategori cerita pendek menggunakan naive bayes dan algoritme genetika |
topic | klasifikasi kategori cerpen naive bayes algoritme genetika |
url | http://ejnteti.jteti.ugm.ac.id/index.php/JNTETI/article/view/332 |
work_keys_str_mv | AT omansomantri featureselectionklasifikasikategoriceritapendekmenggunakannaivebayesdanalgoritmegenetika AT mohammadkhambali featureselectionklasifikasikategoriceritapendekmenggunakannaivebayesdanalgoritmegenetika |