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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Autor principal: Laili Wahyunita
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Publicado: P3M Politeknik Negeri Banjarmasin 2017
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Acceso en línea:https://doaj.org/article/be579e975c084fc5a88fe67477da4f28
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spelling 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)
institution DOAJ
collection DOAJ
language EN
ID
topic naive bayes
preprocessing data
text document representatio
presicion
recall
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Information technology
T58.5-58.64
spellingShingle 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
description 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%.
format article
author Laili Wahyunita
author_facet Laili Wahyunita
author_sort 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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