Klasifikasi Penyebab Penyalahgunaan Narkoba Dari Berita Online Dengan Menggunakan Naive Bayes
This research conducted the classification process by applying the method of classification of Naive Bayes. News article document is one form of text data that is not structured so that requires the process of cleaning data and pre-processing first. The Naive Bayes approach is an approach that refer...
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P3M Politeknik Negeri Banjarmasin
2017
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oai:doaj.org-article:be579e975c084fc5a88fe67477da4f282021-12-02T03:33:42ZKlasifikasi Penyebab Penyalahgunaan Narkoba Dari Berita Online Dengan Menggunakan Naive Bayes2598-32452598-328810.31961/eltikom.v1i1.12https://doaj.org/article/be579e975c084fc5a88fe67477da4f282017-06-01T00:00:00Zhttp://eltikom.poliban.ac.id/index.php/eltikom/article/view/12https://doaj.org/toc/2598-3245https://doaj.org/toc/2598-3288This research conducted the classification process by applying the method of classification of Naive Bayes. News article document is one form of text data that is not structured so that requires the process of cleaning data and pre-processing first. The Naive Bayes approach is an approach that refers to Bayes's Theorem, where it uses the principle of statistical opportunity to combine previous knowledge. The use of this technique is based on the need of the system to know the probability value of the data to be classified. Waterfall method was used for built this classificaiton system. Accuracy rate up to 60 % with the highest precision and recall is 80% and 90%.Laili WahyunitaP3M Politeknik Negeri Banjarmasinarticlenaive bayespreprocessing datatext document representatiopresicionrecallElectrical engineering. Electronics. Nuclear engineeringTK1-9971Information technologyT58.5-58.64ENIDJurnal ELTIKOM: Jurnal Teknik Elektro, Teknologi Informasi dan Komputer, Vol 1, Iss 1, Pp 23-30 (2017) |
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naive bayes preprocessing data text document representatio presicion recall Electrical engineering. Electronics. Nuclear engineering TK1-9971 Information technology T58.5-58.64 |
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naive bayes preprocessing data text document representatio presicion recall Electrical engineering. Electronics. Nuclear engineering TK1-9971 Information technology T58.5-58.64 Laili Wahyunita Klasifikasi Penyebab Penyalahgunaan Narkoba Dari Berita Online Dengan Menggunakan Naive Bayes |
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This research conducted the classification process by applying the method of classification of Naive Bayes. News article document is one form of text data that is not structured so that requires the process of cleaning data and pre-processing first. The Naive Bayes approach is an approach that refers to Bayes's Theorem, where it uses the principle of statistical opportunity to combine previous knowledge. The use of this technique is based on the need of the system to know the probability value of the data to be classified. Waterfall method was used for built this classificaiton system. Accuracy rate up to 60 % with the highest precision and recall is 80% and 90%. |
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Laili Wahyunita |
author_facet |
Laili Wahyunita |
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Laili Wahyunita |
title |
Klasifikasi Penyebab Penyalahgunaan Narkoba Dari Berita Online Dengan Menggunakan Naive Bayes |
title_short |
Klasifikasi Penyebab Penyalahgunaan Narkoba Dari Berita Online Dengan Menggunakan Naive Bayes |
title_full |
Klasifikasi Penyebab Penyalahgunaan Narkoba Dari Berita Online Dengan Menggunakan Naive Bayes |
title_fullStr |
Klasifikasi Penyebab Penyalahgunaan Narkoba Dari Berita Online Dengan Menggunakan Naive Bayes |
title_full_unstemmed |
Klasifikasi Penyebab Penyalahgunaan Narkoba Dari Berita Online Dengan Menggunakan Naive Bayes |
title_sort |
klasifikasi penyebab penyalahgunaan narkoba dari berita online dengan menggunakan naive bayes |
publisher |
P3M Politeknik Negeri Banjarmasin |
publishDate |
2017 |
url |
https://doaj.org/article/be579e975c084fc5a88fe67477da4f28 |
work_keys_str_mv |
AT lailiwahyunita klasifikasipenyebabpenyalahgunaannarkobadariberitaonlinedenganmenggunakannaivebayes |
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1718401755919679488 |