JIKO (Jurnal Informatika dan Komputer)
Vol 3, No 2 (2018): SEPTEMBER - JANUARI 2019

KLASIFIKASI KOMENTAR SPAM PADA YOUTUBE MENGGUNAKAN METODE NAÏVE BAYES, SUPPORT VECTOR MACHINE, DAN K-NEAREST NEIGHBORS

. Burhanudin (Universitas Pendidikan Indonesia)
Yunarti Musa'adah (Unknown)
Yaya Wihardi (Unknown)

Article Info

Publish Date
30 Sep 2018

Abstract

Social mediabecome popular in this day. Sharing the daily moments in social media has become a daily routine. People can also discuss about the post in the existing comment field. For example a comment on Youtube video. But the popularity of social media bring some problems with attracting users who spread spam content on comments. In this research, will be discussed about the classification of spam comments on Youtube with several methods tested. The dataset contains 1956 data,that used to train data. The result of model evaluation using cross validation resulted Support Vector Machine method with Linear approach has highest accuracy equal to 91,92%. Expectedby this research can provide solutions as an effort to prevent spam content in social media comment field..

Copyrights © 2018




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Journal Info
JIKO (Jurnal Informatika dan Komputer)
Website

Abbrev

jiko

Publisher

Universitas Teknologi Digital Indonesia

Subject

Computer Science & IT

Description

JIKO (Jurnal Informatika dan Komputer) is a scientific journal published by Lembaga Penelitian dan Pengabdian Masyarakat of Universitas Teknologi Digital Indonesia (d.h STMIK AKAKOM) Yogyakarta, Indonesia. First published in 2016 for a printed and online version. We receive original research ...