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All Journal Indonesian Journal of Information System Jurnal Informatika Atma Jogja
Kristiawan, Ivan
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Computer Science & IT

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Pengembangan Sistem Simulasi Perpajakan Untuk Edukasi Kristiawan, Ivan; Findra Kartika Sari Dewi; Nuritomo
Jurnal Informatika Atma Jogja Vol. 6 No. 1 (2025): Jurnal Informatika Atma Jogja - Mei
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jiaj.v6i1.10773

Abstract

This study aims to develop a tax simulation system as a safe and effective solution for tax learning and training, considering the high risks arising from errors in using original tax systems such as DJP Online. Using an iterative approach and active collaboration with users, this research designs a technology-based system utilizing Node.js, MySQL, and React.js. The result is two separate websites, one for admins and one for users, with key features such as user data management, e-Billing, e-Bupot Unifikasi, and e-Bupot 21/26. The system closely resembles the original tax system, enabling learning in a secure environment. Therefore, this system is expected to be an innovative solution to enhance tax education without legal risks for users. Penelitian ini bertujuan untuk mengembangkan sistem simulasi perpajakan sebagai solusi aman dan efektif untuk pembelajaran dan pelatihan perpajakan, mengingat risiko tinggi yang muncul dari kesalahan penggunaan sistem perpajakan asli seperti DJP Online. Dengan pendekatan iteratif dan kolaborasi aktif bersama pengguna, penelitian ini merancang sistem berbasis teknologi Node.js, MySQL, dan React.js. Hasilnya adalah dua website yang berfungsi terpisah, yaitu untuk admin dan pengguna, dengan fitur utama seperti pengelolaan data pengguna, e-Billing, e-Bupot Unifikasi, dan e-Bupot 21/26. Sistem ini menyerupai sistem perpajakan asli sehingga dapat mendukung pembelajaran dalam lingkungan yang aman. Dengan demikian, sistem ini diharapkan menjadi solusi inovatif dalam meningkatkan edukasi perpajakan tanpa risiko hukum bagi pengguna.
Pengembangan Sistem Simulasi Perpajakan Untuk Edukasi Kristiawan, Ivan; Findra Kartika Sari Dewi; Nuritomo
Jurnal Informatika Atma Jogja Vol. 6 No. 1 (2025): Jurnal Informatika Atma Jogja - Mei
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jiaj.v6i1.10773

Abstract

This study aims to develop a tax simulation system as a safe and effective solution for tax learning and training, considering the high risks arising from errors in using original tax systems such as DJP Online. Using an iterative approach and active collaboration with users, this research designs a technology-based system utilizing Node.js, MySQL, and React.js. The result is two separate websites, one for admins and one for users, with key features such as user data management, e-Billing, e-Bupot Unifikasi, and e-Bupot 21/26. The system closely resembles the original tax system, enabling learning in a secure environment. Therefore, this system is expected to be an innovative solution to enhance tax education without legal risks for users. Penelitian ini bertujuan untuk mengembangkan sistem simulasi perpajakan sebagai solusi aman dan efektif untuk pembelajaran dan pelatihan perpajakan, mengingat risiko tinggi yang muncul dari kesalahan penggunaan sistem perpajakan asli seperti DJP Online. Dengan pendekatan iteratif dan kolaborasi aktif bersama pengguna, penelitian ini merancang sistem berbasis teknologi Node.js, MySQL, dan React.js. Hasilnya adalah dua website yang berfungsi terpisah, yaitu untuk admin dan pengguna, dengan fitur utama seperti pengelolaan data pengguna, e-Billing, e-Bupot Unifikasi, dan e-Bupot 21/26. Sistem ini menyerupai sistem perpajakan asli sehingga dapat mendukung pembelajaran dalam lingkungan yang aman. Dengan demikian, sistem ini diharapkan menjadi solusi inovatif dalam meningkatkan edukasi perpajakan tanpa risiko hukum bagi pengguna.
Cross-Organizational Transferability of Early Default Prediction Models in Indonesia’s Motorcycle Leasing Industry Kristiawan, Ivan; Destyanto, Twin Yoshua R.; Bañez, Jeremy Laurence
Indonesian Journal of Information Systems Vol. 8 No. 2 (2026): February 2026
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v8i2.13954

Abstract

The motorcycle-leasing sector in Indonesia is critical for consumer financing, yet firms face persistent difficulty in predicting early installment defaults because most credit-risk models are built for single organizations, forcing companies to repeatedly rebuild models when policies or operations change, which increases costs and delays risk detection. This study examines whether early default prediction models developed in one motorcycle-leasing company can be transferred to others by applying a hierarchical framework that integrates feature engineering, behavioral clustering, and supervised classification. The model was trained on 113,222 fiduciary contracts (2011–2025) from a Batam-based firm and tested on two external firms in Batam and Jakarta using Logistic Regression, Random Forest, and LightGBM. Results show substantial performance decline for the second Batam firm but relatively stable performance in Jakarta, indicating that organizational policy differences matter more than regional factors. Fine-tuning with sufficient local data improves performance, while limited data creates instability. The study provides a practical foundation for scalable and transferable credit-risk modeling in emerging markets. Keywords: credit risk prediction; transfer learning; domain adaptation; motorcycle leasing; clustering.
Co-Authors Bañez, Jeremy Laurence Findra Kartika Sari Dewi Nuritomo Twin Yoshua R. Destyanto