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All Journal Voteteknika (Vocational Teknik Elektronika dan Informatika) Scientific Journal of Informatics Jurnal Informatika Upgris JURNAL MEDIA INFORMATIKA BUDIDARMA Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi JATI (Jurnal Mahasiswa Teknik Informatika) Green Intelligent Systems and Applications JEECS (Journal of Electrical Engineering and Computer Sciences) Nusantara Community Empowerment Review Nusantara Computer and Design Review
Mochammad Machlul Alamin
Universitas Nahdlatul Ulama Sidoarjo
Religion Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Environmental Science Social Sciences

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Journal : Green Intelligent Systems and Applications

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Fraud Classification in Online Payments Using Supervised Machine Learning Algorithms Editya, Arda Surya; Alamin, Moch. Machlul; Pramana, Anggay Lury; Kurniati, Neny
Green Intelligent Systems and Applications Volume 5 - Issue 1 - 2025
Publisher : Tecno Scientifica Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53623/gisa.v5i1.552

Abstract

Online payment systems have become a cornerstone of modern financial transactions, providing convenience and efficiency. However, the rise of such systems has also led to an increase in fraudulent activities, posing significant risks to users and service providers. This research focused on optimizing the classification of fraudulent transactions in online payment systems using supervised machine learning algorithms. This study explored the performance of several widely used algorithms, including Naïve Bayes, Decision Tree, Random Forest, Gradient Boosting Tree, and Support Vector Machine (SVM). A comprehensive dataset of online payment transactions was used to evaluate the effectiveness of these algorithms in identifying fraudulent activities. Various performance metrics, such as accuracy, precision, and F1 score, were employed to assess and compare classification capabilities. In addition, feature engineering and data preprocessing techniques were applied to improve the models’ predictive performance. The results demonstrated that, while each algorithm had its strengths, ensemble-based methods like Gradient Boosting Tree outperformed others in terms of classification accuracy and robustness. The findings highlighted the importance of selecting appropriate machine learning algorithms and fine-tuning their parameters to achieve optimal fraud detection in online payment systems. This study provides valuable insights for financial institutions and developers to enhance security measures and mitigate fraud risks in digital payment platforms.
Co-Authors Aditya Wisnu Pangarso Adzimi, Choiral Bachri Ahcmad Ramadhani Firmansyah Ahmad Ismasuroj Aisya Febrianti Azzaroh Aji Laksono, Ilham Alaik Bittuqoh Alfia Rohmah Safara Alvianto, Dimas Aminuddin, Haris Fahrurosyi Amrullah, Hesa Zidni Afif Anam, M Syifa’ul Anggay Luri Pramana Antika, Dwi Ira Fuji Arda Surya Editya Ardiansyah, Fitto Arfi Chabibulloh, Muhammad Arfiansyah, Ilham Putra Arfiyansya, Putra Pratama Arifin, Rochman Putra AT, Mochammad Zulfikar Aulia, Luthfi Azhar, Devandra Albansyah Azzhara, Nabila Mauliddia Bagus Pratama Bittuqoh, Alaik Cahyono, Rangga Dwi Choiral Bachri Adzimi Chusnan, Syahrul Alvin Dani Restu Putra Dimas Alvianto Dio Adista Laksono Dwi Ira Fuji Antika Farizki, Daniel Achmad Farros, M Faizal Zhafran Ferdie Arya Jantanu Firmansyah, Ahcmad Ramadhani Firmansyah, Moh Alfian Habibatul Khoiroh Haq, Ahmad Khoir Al Haris Fahrurosyi Aminuddin Hayyun, Ibad Al Hendrawan Armanto Hidayat, Rakmat Indra Maryati Ismasuroj, Ahmad Jantanu, Ferdie Arya Jazuri, Achmad Khoiroh, Habibatul Lisdiyanto, Angga M Huda Noor Setyawan M Iqbal Hasan M Iqbal Wahyudi M Syifa’ul Anam M, Baqik Al Zalzala Maslikhah, Lilik Mauliddin, Rizky Akbar Mochammad Zulfikar AT Mohammad Ersha Ramadhani Mohammad Raihan Zacky Ramadhan Mohammad Wahyudin, Mohammad Muchibbin, Moch Rafli Mufidz Abdul Ghoffar, Muhamad Muhammad Firmansyah, Muhammad N, Naufal Eurasia Nadhif Fathur Rahman Naufal Eurasia N Neny Kurniati Nida Aulina Ningrum, Lintang Ayu Nur Syaifudin Pramana, Anggay Lury Prasetya, M. Galuh Sahfa Putra, Dani Restu Rahman, Nadhif Fathur Ramadhan, Mohammad Raihan Zacky Ramadhan, Rezza Fahlevi Ramadhani, Mohammad Ersha Rasyidin, Mukhammad Hafid Ridho Cahyo, Laksono Rochman Putra Arifin Rosidin, Ahmad Khulafaur Safara, Alfia Rohmah Setiawan, Moch. Rizky Setyawan, M Huda Noor Syahrul Alvin Chusnan Syaifudin, Nur Taufiqurrochman, Achmad Muafi Ulumuddin, Mochammad Fatih Wadhah, Ambar Nabilah Wahidah, Sitti Nurul Wahyudi, M Iqbal Wati, Elis Julia