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All Journal SAMUDERA Jurnal Informatika dan Teknik Elektro Terapan e-Jurnal Arus Elektro Indonesia Sistemasi: Jurnal Sistem Informasi JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Information System for Educators and Professionals : Journal of Information System Jurnal Teknovasi : Jurnal Teknik dan Inovasi Mesin Otomotif, Komputer, Industri dan Elektronika JOURNAL OF APPLIED INFORMATICS AND COMPUTING METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Journal on Education Jurnal Informatika Kaputama (JIK) MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Community Development Journal: Jurnal Pengabdian Masyarakat Medika Teknika : Jurnal Teknik Elektromedik Indonesia Jurnal Sistem Informasi dan Sains Teknologi International Journal of Engineering, Science and Information Technology Jurnal Tika Malikussaleh Journal of Mechanical Science Technology Andalasian International Journal of Applied Science, Engineering, and Technology Jurnal Janitra Informatika dan Sistem Informasi Journal of Renewable Energy, Electrical, and Computer Engineering Jurnal Multidisiplin Madani (MUDIMA) Journal Of Human And Education (JAHE) Jurnal Sains dan Teknologi Journal of Social Interactions and Humanities (JSIH) Jurnal Energi Elektrik Jurnal Teknologi Terapan and Sains 4.0 Mafaza : Jurnal Pengabdian Masyarakat INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System International Review of Practical Innovation, Technology and Green Energy (IRPITAGE) Innovative: Journal Of Social Science Research Jurnal Malikussaleh Mengabdi Jurnal Polimesin Jurnal Informatika Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Taufiq Taufiq
Fakultas Teknik Universitas Malikussaleh
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Journal : Jurnal Informatika

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Comparison of Logistic Regression and Random Forest Methods in Predicting Vehicle Tax Payment Compliance Khairul Fuadi; Taufiq Taufiq; Arnawan Hasibuan; Dahlan Abdullah; Nurdin Nurdin
Jurnal Informatika Vol. 13 No. 1 (2026): April
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/informatika.v13i1.11944

Abstract

Motor vehicle tax is a major source of Regional Original Income (PAD). However, the level of motor vehicle tax payment compliance in North Aceh Regency is still suboptimal, particularly related to late payments. A data-driven approach is needed to predict and understand taxpayer compliance patterns more accurately. This study aims to compare the performance of the Logistic Regression and Random Forest methods in predicting motor vehicle tax payment compliance, as well as to identify factors that influence taxpayer compliance behavior at the North Aceh Samsat (Sat). This study uses secondary data in the form of motor vehicle tax payment transactions at the North Aceh Samsat for the 2022–2024 period, totaling 100,000 observations. The response variable is the tax payment compliance status (compliant and non-compliant), while the predictor variables include vehicle age, type of ownership, vehicle type, and vehicle brand. The data is divided into 70% training data and 30% testing data. The performance evaluation model is conducted using accuracy, precision, recall, and Area Under Curve (AUC) metrics. The analysis results show that Random Forest has better predictive performance than Logistic Regression, with higher accuracy and AUC values. Vehicle age and type of ownership are the most influential variables in predicting tax payment compliance, while vehicle brand has a relatively smaller influence. Logistic Regression provides a clear interpretation of the variable relationship, but has lower discrimination ability than Random Forest. Random Forest has proven to be more effective as a prediction model for motor vehicle tax payment compliance at the North Aceh Samsat. The application of machine learning-based predictive models has the potential to support more targeted policy making in an effort to improve motor vehicle tax payment compliance, especially in reducing late payments.
Co-Authors Abdul Rasyid Abubakar Dabet Agustival, Refi Alchalil Alchalil Alqhifari, Azka Andre Heri Bakriansyah Ariyandi, Zulham Arnawan Hasibuan Asran Asran Asri Asri Azwinur Azwinur Badriana, Badriana Bakhtiar Bakhtiar Chairil Pratama Dahlan Abdullah Dedi Fariadi Diana, Diana Ezwarsyah Ezwarsyah Fadlisyah Fadlisyah Fajriana Ferri Safriwardy Furqan, M Hafizh Al Kautsar Aidilof Hardi, Gery U. Hardiansyah, Juni Iqlima Iqlima Iqlima, Iqlima Johan, T.M. Khairul Fuadi M Sayuti Madanhar Manik Maryana - Maryana Maryana Maryana Maryana, Maryana Maulita, Maya Meutia Fadilla Misbahul Jannah Muhammad Daud Muhammad Hashemi Maulida Muhammad Raihan Rangkuti Muhammad Ridhani Muhammad Yusuf Muhammad Zakaria Mujahid, Alvin Munar Munar Munar Nasrah, Sayni Nasution, Fakhruddin A Nunsina, Nunsina Nurdin Nurdin Nurdin Nurdin Pranata, Fajar Putra, Ardiansyah Rahmiati Ruwaida Raihan Putri Rajudin Rajudin Rangkuti, Irsan Efendi Ratna Rita Sovianto Riza Mirza Rizki Suwanda Ruwaida Ruwaida Salahuddin Salahuddin Salahuddin Salahuddin Siraj Suhaili Sahibul Muna Sulaiman . Syahri, Alfis Syamsul Bahri Syukriah Syukriah Syukriah YANITA YANITA Zara Yunizar Zulmiardi zura, zuraimi