Klasifikasi Penyebab Penyalahgunaan Narkoba Dari Berita Online Dengan Menggunakan Naive Bayes

Jurnal ELTIKOM

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Field Value
 
Title Klasifikasi Penyebab Penyalahgunaan Narkoba Dari Berita Online Dengan Menggunakan Naive Bayes
 
Creator Wahyunita, Laili
 
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%.
 
Publisher P3M Politeknik Negeri Banjarmasin
 
Date 2017-06-12
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://eltikom.poliban.ac.id/index.php/eltikom/article/view/12
10.31961/eltikom.v1i1.12
 
Source Jurnal ELTIKOM; Vol 1 No 1 (2017); 23-30
2598-3288
2598-3245
 
Language eng
 
Relation http://eltikom.poliban.ac.id/index.php/eltikom/article/view/12/2
 

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