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Journal : Journal of Technology Informatics and Engineering

Prediction and Detection of Scam Threats on Digital Platforms for Indonesian Users Using Machine Learning Models Raharjo, Budi; Rudjiono; Fitrianto, Yuli
Journal of Technology Informatics and Engineering Vol. 3 No. 3 (2024): December (Special Issue: Big Data Analytics) | JTIE: Journal of Technology Info
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v3i3.208

Abstract

Scam threats on digital platforms continue to rise alongside the rapid adoption of technology in Indonesia. The unique characteristics of Indonesian digital users, such as low digital literacy and high social media usage, make them particularly vulnerable to various forms of scams, including phishing, impersonation, and emotional manipulation. This study aims to develop a machine learning-based model for predicting and detecting scams by identifying threat patterns within a local context. The methodology involves collecting a survey-based dataset from Indonesian digital users, capturing language patterns and user interaction behaviors. The dataset was processed through text-cleaning techniques, tokenization, normalization, and representation using TF-IDF and Word Embeddings. The machine learning models employed in this study are Random Forest and Support Vector Machine (SVM), evaluated using accuracy, precision, recall, and F1-score metrics. Hyperparameter tuning was conducted to optimize model performance, while k-fold cross-validation was utilized to minimize the risk of overfitting. The results indicate that the Random Forest model achieved the best performance, with an accuracy of 92.5%, precision of 90.7%, recall of 94.1%, and F1-score of 92.4%. The use of local datasets improved detection accuracy by 7.8% compared to global datasets, highlighting the critical importance of contextual representation in identifying scam patterns specific to Indonesia. The model was also effective in recognizing unique threat patterns, such as the use of informal language and manipulative phrases in scam messages. This study makes a significant contribution to the field of digital security by providing an effective machine learning-based approach to detecting scam threats in Indonesia. Moreover, the findings underscore the importance of developing local datasets and educating users as part of a holistic solution to enhance digital security. These insights emphasize the necessity of incorporating cultural and contextual factors into technology-driven approaches for combating scams in developing countries like Indonesia
Co-Authors Achmad Solechan Adnan Putra Pratama Agustinus Budi Santoso Ahmad Ashifuddin Aqham Ahmad Zainudin Amalia Shifa Aldila Amsal, Andi Yasir Andriana, Myra Ardananta, Ricky Alfina Ayyub Hamdanu Budi Nurmana Ayyub Hamdanu Budi Nurmana Bambang Suhartono Budi Raharjo Daniel Rudjiono Dewi Widyaningsih Dian Susatyono, Jarot Dwi Nur Arifin Dwi Setiawan Dwi Setiawan Edwin Zusrony Edy Jogatama Purhita Erick Sorongan, Erick Fahruddin, Ahmad Febryantahanuji Febryantahanuji Fitro Nur Hakim Fitro Nur Hakim Gibson Manalu H.B.N.MS, Ayyub Hakim , Fitro Nur Haryo Kusumo Haryo Kusumo Imaliya, Tri Indra Ava Dianta Irma Islamiyah Jarot Dian Susatyono kurnialensya kurnialensya Kusumaningtyas, Dhevi Dadi Kusumo, Haryo Lawrence Adi Supriyono Luthfy Purnanta Anzie Magriyanti, Arie Atwa Maya Utami Dewi Maya Utami Dewi, Maya Utami Migunani Migunani Mira Andriyana Muhammad Khoiril Anaam Myra Andriana Myra Andriana Nanik Qosidah Nining Fitriani Nugroho, Aris Sarwo Nur Arifin , Dwi Nurmana, Ayyub Hamdanu Budi Pebiansyah Hapsari Putranto, Kartiko Eko Qosidah, Nanik Rahman, Mujibu Ratih Fenty Anggraini Bintoro Roymon Panjaitan Rusito S Siswanto Samkhaji, Toni Santi Widiastuti Sarwo Nugroho Setiyo Prihatmoko Sindhu Rakasiswi Sindhu Rakasiwi Siswanto SITI KHOLIFAH Sri Yulianingsih Suhartono , Bambang Sumaryanto Sumaryanto Sumaryanto, Sumaryanto Suprapti Supriadi, Candra Susatyono, Jarot Dian Tamam, Muhammad Zidan Tantik Sumarlin . Taufik Kurnialensya Toni Samkhaji Toni Wijanarko Adi Putra Tuatul Mahfud Wahyudi, Wiwid Winnarko, Henry Yogiana Mulyani, Yogiana Zamroni, Ahmad