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All Journal Jurnal JSIKA JAE (Jurnal Akuntansi dan Ekonomi) Sakina: Journal of Family Studies Jurnal Supremasi Jurnal Revenue : Jurnal Ilmiah Akuntansi SINDA: Comprehensive Journal of Islamic Social Studies Informatics, Electrical and Electronics Engineering MAQASIDI Jurnal Sistem Informasi Universitas Dinamika Jurnal Ilmiah IT CIDA : Diseminasi Teknologi Informasi Al-Aqwal : Jurnal Kajian Hukum Islam Jurnal Pendidikan dan Pengabdian Masyarakat Journal of Transcendental Law Jurnal Fakta: Forum Aktual Ahwal Al-Syakhsiyah HUNILA : Jurnal Ilmu Hukum dan Integrasi Peradilan
Mochammad Arifin
Institut Bisnis Dan Informatika Stikom Surabaya
Religion Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Journal : Informatics, Electrical and Electronics Engineering

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Comparative Analysis of Machine Learning Models for Identifying Cybercrimes in Social Media Comments Fauzan, Abd. Charis; Arifin, Mochammad; Mafula, Veradella Yuelisa
Jurnal Teknik Elektro dan Informatika Vol 4 No 2 (2024): INFOTRON
Publisher : Universitas Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/infotron.v4i2.23069

Abstract

The rapid growth of social media has created opportunities for digital interaction but has also introduced challenges, particularly in addressing cybercrimes such as defamation, threats, and SARA-related content. Cybercrime detection on social media is critical as it helps mitigate the spread of harmful behavior, safeguard users, and support law enforcement in addressing violations like Indonesia's Information and Electronic Transactions Law (UU ITE). This study conducts a comparative analysis of machine learning algorithms—Naive Bayes, Support Vector Machines (SVM), and Random Forests—to identify cybercrimes in social media comments. Using a sentiment-labeled dataset obtained from Kaggle, consisting of Indonesian social media comments from Twitter (X), the comments are categorized into seven specific classes: Neutral Sentiment, Positive Sentiment, Negative Sentiment, Insulting Government, Insulting or Defaming Others, Threatening Others, and SARA-Based Content. The results show that Random Forest achieved the highest overall accuracy (91%) and performed best in detecting moderately represented classes such as Insulting Government. SVM demonstrated robust performance with 88% accuracy, particularly excelling in identifying dominant classes like Negative Sentiment, while Naive Bayes, though computationally efficient, struggled with minority classes, achieving an accuracy of 73%. However, the dataset's imbalance posed challenges for all algorithms, particularly with underrepresented categories. This limitation underscores the need for more diverse and representative datasets to improve model performance and ensure broader applicability of the findings.
Co-Authors Abd. Charis Fauzan Abrar, Muhammad Affandy, Yanuar Affandy, Yanuar Ahmad Yanu Aliffianto Ai'na Nisa, Irmanaza Amala, Khamim Ahsanu Amin, Sokhibul Anggraini, Yeni Fera Anggriawan, Adventus Antok Supriyanto Arifin Puji Widodo Assaufa, Nabila Intan Azizah, Aisyatul Bali, Mustafa Bia Ardy Permana Christy, Agile Jaunty Christy, Agile Jaunty Dewi, Gusti Ayu Eka Candra Dewi, Gusti Ayu Eka Candra Donny Kurniawan Dyah Ayu Anggraeni Erdiana, Setya Putri Erstyawan, Martinus Sony Evi Farsiah Utami, Evi Farsiah Faizati, Lutfika Arifa Fandi Setyo Prambudi Fania Putri, Regita Fenty Fahminnansih, Fenty Fitriyaningrum, Lulut Fitriyaningrum, Lulut Gusti Ayu Eka Candra Dewi Harianto, Totok Haryanto Tanuwijaya Hayuningtyas, Rizcha Rahmawati Henry Bambang Setyawan Hidayah, Era Norma Ignatius Adrian Mastan Joane Indra Prastyawan Jusak Jusak Khairun Nisa, Zulia Laili, Afrohatul M. J. Dewiyani Sunarto Mafula, Veradella Yuelisa Martinus Sony Erstiawan Medina Gemala Miftakhul Rohman, Muhammad Yasin, Iwan Marwan, Miftakhul Rohman, Mintyawan, Mada Wisnu Muhammad Abrar Muhammad Jefri Ningsih, Norma Nugroho, Mulyanto Panjaya, Michael Richie Panjaya, Michael Richie Perdana, Gemilang Citra Pratiwi, Maria Sherly Jevita Pratiwi, Maria Sherly Jevita Priambodo, Dimas Priambodo, Dimas Rahmawati, Endra Ramadhanis, Puspayati Ramadhanis, Puspayati Rizcha Rahmawati Hayuningtyas Rochmawati, Dian Rochmawati, Dian Salasa, Natsir Salasa, Natsir Samekto, Deby Setyanugraha, Arief Siswo Martono, Siswo Slamet Slamet . Sugeng, Santoso Sukrawan, Pande Gede Sukrawan, Pande Gede Sulistiowati Sulistiowati Tony Soebijono Vivine Nurcahyawati Wafie, Slamet Wardhani, Hienny Wardhani, Hienny wati, Sulistio Widiyanto, Edy Wijaya, Farid Ardi Wulandari, Sri Hariani Eko Yogie, Akhmad Yogie, Akhmad