Model Integrasi Artificial Intelligence Dalam Meningkatkan Kualitas Keputusan Pembiayaan Syariah Berbasis Maqashid Syariah Pada Bank Syariah Indonesia

Authors

  • Beni Rohman Sekolah Tinggi Ekonomi dan Bisnis Islam Liwa
  • Bella Chenia Meitasir Sekolah Tinggi Ekonomi dan Bisnis Islam Liwa
  • Anik Fikriany Sekolah Tinggi Ekonomi dan Bisnis Islam Liwa

DOI:

https://doi.org/10.61231/7zghg036

Keywords:

Artificial Intelligence, Maqashid Syariah, Transformasi Digital

Abstract

This study aims to examine the influence of Artificial Intelligence on the quality of Islamic financing decisions and to develop an integrated AI model based on Maqashid Shariah within Bank Syariah Indonesia. This research employs a quantitative explanatory approach. Primary data were collected through questionnaires distributed to employees involved in financing activities using a purposive sampling technique. Data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). The proposed model incorporates four main constructs: Artificial Intelligence implementation, information quality, financing decision quality, and the achievement of Maqashid Shariah. The findings are expected to demonstrate that Artificial Intelligence has a positive and significant effect on improving information quality and financing decision quality. Furthermore, AI-supported financing decisions are anticipated to contribute to the realization of Maqashid Shariah, particularly in promoting justice, transparency, wealth protection (hifz al-mal), and public welfare (maslahah). The novelty of this study lies in the development of an integrated framework that combines Artificial Intelligence with Maqashid Shariah indicators as an evaluative foundation for Islamic financing decisions.

References

Abdullah, O., Shaharuddin, A., Wahid, M. A., & Harun, M. S. (2022). The Potentials and Challenges of Decision Support System for Islamic Banking and Finance. European Journal of Islamic Finance, 9(3), 21–29.

Ajzen, I. (2020). The theory of planned behavior: Frequently asked questions. Human Behaviorand Emerging Technologies, 2(4), 314–324.

Daulay, A. H., & Habibi, M. (2026). Perspektif Maqashid Syariah di Era Digital: Membawa Perubahan Radikal dalam Regulasi Etis Kecerdasan Buatan di Perbankan Islam. Jurnal Ekonomi Syariah, 11(1), 130–146.

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (3rd ed.). Sage Publications.

Hasan, Z. (2021). Leading Islamic Finance into the Future. Palgrave Macmillan.

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant

validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.

Kahneman, D., Sibony, O., & Sunstein, C. R. (2021). Noise: A Flaw in Human Judgment. Little, Brown Spark.

Laudon, K. C., & Laudon, J. P. (2022). Management Information Systems: Managing the Digital Firm (17th ed.). Pearson.

Mohammed, M. O., & Taib, F. M. (2015). Developing Islamic Banking Performance Measures Based on Maqasid al-Shariah Framework. Islamic Research and Training Institute.

Otoritas Jasa Keuangan. (2023). Artificial Intelligence Governance for Indonesian Banking. Otoritas Jasa Keuangan.

Ringle, C. M., Wende, S., & Becker, J. M. (2024). SmartPLS 4 User Guide. SmartPLS GmbH.

Sholihin, M., & Ratmono, D. (2021). Analisis SEM-PLS dengan WarpPLS 7.0 untuk Hubungan Nonlinier dalam Penelitian Sosial dan Bisnis. Andi Offset.

Syakirunni'am, L., Hassan, Z., Marier, S. M., & Jamil, S. (2025). Artificial Intelligence and the Transformation of Digital Services in Islamic Banking: A Case Study of Bank Syariah Indonesia. LogicLink, 2(1).

Syahmi, M. I., Harun, M. S., Rosele, M. I., Nor Azelan, S. H., & Azhar, M. H. M. (2026). Artificial Intelligence in Islamic Finance: An Outlook Based on Maqasid al-Shariah. Journal of Fatwa Management and Research, 31(2), 304–335.

Safitri, S. W. (2026). Manajemen Risiko pada Digital Banking Syariah Berbasis Artificial Intelligence dalam Mendeteksi Pembiayaan Bermasalah di Bank Syariah Indonesia.

Maliki Interdisciplinary Journal, 4(6), 1145–1150.

Sugiyono. (2023). Metode Penelitian Kuantitatif, Kualitatif, dan R&D (Edisi terbaru). Alfabeta.

Yusoff, M. B., & Omar, M. A. (2023). Artificial Intelligence Adoption in Islamic Financial Institutions: Opportunities and Challenges. Journal of Islamic Accounting and Business Research, 14(5), 765–784.

Downloads

Published

2026-09-13

Issue

Section

Articles

How to Cite

Model Integrasi Artificial Intelligence Dalam Meningkatkan Kualitas Keputusan Pembiayaan Syariah Berbasis Maqashid Syariah Pada Bank Syariah Indonesia. (2026). Jurnal Penelitian Dan Pengabdian Masyarakat , 4(3), 2210–2220 . https://doi.org/10.61231/7zghg036

Similar Articles

11-20 of 101

You may also start an advanced similarity search for this article.