TEKNOLOGIA
Vol 2 No 1 (2019): Jurnal Teknologia

PERBANDINGAN PEMBOBOTAN UNTUK KLASIFIKASI TOPIK BERITA MENGGUNAKAN DECISION TREE

Henri Tantyoko (Unknown)
Adiwijaya Adiwijaya (Fakultas Informatika, Universitas Telkom, Bandung)
Untari Novia Wisesty (Fakultas Informatika, Universitas Telkom, Bandung)



Article Info

Publish Date
09 Aug 2019

Abstract

News is a media to add insight into the outside world, many events that can not be known directly, because it is news that can make it easier to find out more extensive information about the increase. News dissemination consists of online for internet and offline for print media. In the present era, the development of the internet is very fast, making it easier to access information, media delivery of news becomes varied with the internet. Many news available online cause problems because news published by publishers can make mistakes in categorizing news content into the right category. Need technical contributions to categorize news automatically. Categorization of the method used. In this study, the authors used the Decision Tree classification method. A process that is no less important before classification is the word weighting technique. To get optimal accuracy, the authors combine classification techniques using Decision Tree with word weighting techniques TF.ABS, TF.CHI2, TF.RF and TF.IDF. Receive TF.ABS which has the

Copyrights © 2019






Journal Info

Abbrev

teknologia

Publisher

Subject

Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering Mathematics

Description

Jurnal Teknologia dengan ber-ISSN 2654-5683 merupakan bagian dari Aliansi Perguruan Tinggi Badan Usaha Milik Negara (APERTI BUMN), adalah jurnal keilmuan yang merupakan produk kolaborasi dari lima (5) Perguruan Tinggi yang tergabung dalam APERTI BUMN, yaitu Universitas Pertamina, Telkom University, ...