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All Journal JSM (Jurnal SIFO Mikroskil) Jurnal Ilmu Komputer dan Agri-Informatika Channing: Journal of English Language Education and Literature Jurnal Bidang Pendidikan Dasar Indonesian Journal of Science and Mathematics Education Jurnal SOLMA JMM (Jurnal Masyarakat Mandiri) IJISTECH (International Journal Of Information System & Technology) Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Genta Mulia : Jurnal Ilmiah Pendidikan JSR : Jaringan Sistem Informasi Robotik Innovation in Research of Informatics (INNOVATICS) IJISTECH Jurnal Indonesia Mengabdi Sinar Sang Surya: Jurnal Pusat Pengabdian kepada Masyarakat JoMMiT : Jurnal Multi Media dan IT Jurnal Pengabdian Masyarakat (ABDIRA) Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Jurnal Sains Informatika Terapan (JSIT) Prosiding Seminar Nasional Rekayasa Teknologi Industri dan Informasi ReTII Instink: Inovasi Pendidikan, Teknologi Informasi dan Komputer PROSIDING SEMINAR NASIONAL PENELITIAN DAN PENGABDIAN KEPADA MASYARAKAT (SNPPM) UNIVERSITAS MUHAMMADIYAH METRO Jurnal Informatika: Jurnal Pengembangan IT Jurnal abimana (Jurnal Pengabdian Kepada Masyarakat Nasional) Jurnal Indonesia Mengabdi
Amaliah, Khusnatul
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Journal : IJISTECH

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Performance Evaluation Of SVM With Parameter Optimization On Credit Card Fraud Data Subset Using SMOTE Mahardika, Ahmad Farrel; Fahrezi, Irza Nuzul; Alleredha, Muhammad Hadya; Amaliah, Khusnatul; Rofianto, Dani
IJISTECH (International Journal of Information System and Technology) Vol 9, No 1 (2025): The June Edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v9i1.398

Abstract

This study evaluates the performance of the Support Vector Machine (SVM) algorithm in detecting credit card fraud by overcoming the class imbalance problem using the Synthetic Minority Oversampling Technique (SMOTE) technique and parameter optimization through Grid Search. The dataset used is sourced from Kaggle, consists of 10,001 transactions, and has been balanced. SMOTE is applied exclusively to the training data to prevent data leakage. The optimization process produces the best parameters at a value of C = 10 and gamma = 0.1. Model evaluation is carried out using recall, precision, F1-score, and AUC-ROC metrics. The results show a significant increase in performance in recognizing fraudulent transactions. The final model recorded a recall of 0.68, precision 0.90, F1-score 0.77, and AUC-ROC 0.98. These findings prove that the combination of SMOTE techniques and parameter optimization can improve the effectiveness of SVM in classifying minority classes more accurately. This approach is considered to have great potential to be applied in automated fraud detection systems in the financial sector.
Co-Authors Ainun Ummi Sholikhah Alleredha, Muhammad Hadya Andrew Kurniawan Andri Febriyadi Putra Andri Febriyadi Putra Anggar Anugrah Satrya Wiratama Aprilita Ekasari Ariansyah, Rio Tegar Ariyansyah Armelsya, Kafka Astria Hijriani, Astria Dani Rofianto Dimas Ramadhani Dzakyananta, M Alvin Eka Setya Ningsih Eko Win Kenali Fahrezi, Irza Nuzul Fathurrahman Kurniawan Ikhsan Fitra, Jaka Fitri, Melisa Fitriani Halim Fathoni Halim Fathoni Hastuti Retno Kuspiyah, Hastuti Retno Ihsan, Faiz Nurfaadhil K Ikshan, Fathurrahman Ketut Putri Ketut Putri Khoerunissa, Tiara Kurnia Khoerunnisa, Tiara Kurnia Kurniawan, Andrew M Iqbal Mustofa M. Frans Diantoro M. Frans Diantoro M. Ilham Abdillah Mahardika, Ahmad Farrel Marsa, Shela Septina Marsya, Nabila Defany Masrifah, Ulfa Miftakhur Rohmah, Miftakhur Mochammad Arfian Ardiansyah Muhammad Nurcahyo Sasongko Munadhil, Muhammad Mufrih Murtiningseh Murtiningseh Murtiningseh, Murtiningseh Nesi Anti Andini Nia Kurniati Nia Kurniati Nurbani Kalsum Nurkhotimah, Jihan Susan Oki Arifin Oki Arifin Rio Tegar Ariansyah Rohmah, Miftakhur Safitri, Egi Sahrul Alan Setiawan Sahrul Alan Setiawan Sekarsari, Ni Wayan Sevilla Sheila Oki Tarina Shela Septina Marsa Sholikhah, Ainun Ummi Somia Ela Safrika Sri Enggar Kencana Dewi Surfiana Surfiana Susanti Susanti Sutati Sutati Sutati, Sutati Tanto Pratondo Utomo Tiara Kurnia Khoerunnisa Tri Ratna Dewi Tutik Yuliatun Ulfa Masrifah Vina Lupitasari Vina Lupitasari Widayanti Widayanti Widayanti Widayanti WINARTO Yusep Windhu Ari Wibowo Yusep Windhu Ari Wibowo