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All Journal Jurnal Riset Informatika dan Teknologi Informasi (JRITI)
Leonardo D.P, Harun
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Computer Science & IT

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Journal : Jurnal Riset Informatika dan Teknologi Informasi (JRITI)

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Analisis Sentimen Terhadap Bullying Di Indonesia Pada Twitter Menggunakan Naïve Bayes dan SVM AlHakim, Abdu Malik; Leonardo D.P, Harun; Putri, Alifia Nursyahrani
Jurnal Riset Informatika dan Teknologi Informasi Vol 2 No 3 (2025): April - Juli 2025
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat (JPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58776/jriti.v2i3.155

Abstract

Bullying has become a serious social problem in Indonesia. In the past few years, bullying cases are increasing, especially among children and adolescents. Bullying can occur anywhere, including at home, work, community, social media, and school, but it is most common in educational settings. Twitter or "X" is the most used social media in Indonesia, often a place for people to express their opinions on bullying. This research aims to analyze sentiment towards bullying in Indonesia through comments or tweets collected from Twitter using Naïve Bayes and Support Vector Machine (SVM) methods. From the analysis of 330 tweets, the Naïve Bayes method showed an accuracy of 77.27%, while the SVM method showed an accuracy of 72.72%.
Co-Authors AlHakim, Abdu Malik Putri, Alifia Nursyahrani