Authors:

Ngurah Indra Purnayasa, I Made Agus Dwi Suarjaya, I Putu Arya Dharmaadi

Abstract:

“Internet users in Indonesia is increasing in every year. The increase caused by several factors, such as the increasingly even distribution of internet infrastructure in Indonesia. The internet has a positive impact such as facilitating communication between individuals, while the negative impact of the internet is intimidation to someone or known as cyberbullying. Cyberbullying has a huge impact on mental health person, causing victim to be angry, depressed, and anxious. This research aims to measure the level of cyberbullying in Indonesia on Twitter using TF-IDF and Support Vector Machine. Classification in this study is classified into two classes, namely cyberbullying and non-cyberbullying. Twitter data used in this study were 3,344,782 tweets that resulted in a cyberbullying classification level of 34.59% and a non-cyberbullying classification level of 65.41%. The best accuracy value obtained is 85%.”

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PDF:

https://jurnal.harianregional.com/merpati/full-89313

Published

2022-08-30

How To Cite

PURNAYASA, Ngurah Indra; SUARJAYA, I Made Agus Dwi; DHARMAADI, I Putu Arya. Analysis of Cyberbullying Level using Support Vector Machine Method.Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi), [S.l.], v. 10, n. 2, p. 81-90, aug. 2022. ISSN 2685-2411. Available at: https://jurnal.harianregional.com/merpati/id-89313. Date accessed: 08 Jul. 2024. doi:https://doi.org/10.24843/JIM.2022.v10.i02.p01.

Citation Format

ABNT, APA, BibTeX, CBE, EndNote - EndNote format (Macintosh & Windows), MLA, ProCite - RIS format (Macintosh & Windows), RefWorks, Reference Manager - RIS format (Windows only), Turabian

Issue

Vol 10 No 2 (2022): Vol. 10, No. 2, August 2022

Section

Articles

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License