AI for Fraud Detection and Accounting System Security : Implementation in Indonesian Islamic Banks

This research study examines the impact of Artificial Intelligence (AI) on enhancing the security of Islamic banking accounting systems in Indonesia. Specifically, it focuses on AI's ability to accurately and efficiently detect fraud. The research used path analysis to investigate how AI's fraud detection capabilities affect accounting system security. The study involved IT professionals, auditors, and risk management staff in Islamic banking as respondents. A detailed questionnaire was developed to measure AI's role, revealing positive and significant effects on accounting system security. These effects were observed both directly and indirectly through fraud detection accuracy and efficiency. Interestingly, the study found that AI has a greater direct impact on security than its mediated effect, indicating that while AI improves fraud detection, its full potential in bolstering accounting system security has yet to be fully realized. The findings offer practical insights for Islamic banks, regulators, and stakeholders to implement and evaluate AI technology for fraud detection.

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Publication Details

Journal
Jurnal Akuntansi dan Bisnis
Published
2025-06-12
DOI
https://doi.org/10.20961/jab.v25i1.1308
Primary Topic
Data Mining and Machine Learning Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

AI for Fraud Detection and Accounting System Security : Implementation in Indonesian Islamic Banks

Sugiyarti Fatma Laela, Deni Amin Sujana
Jurnal Akuntansi dan Bisnis
Data Mining and Machine Learning Applications
article

AI for Fraud Detection and Accounting System Security : Implementation in Indonesian Islamic Banks

Sugiyarti Fatma Laela, Deni Amin Sujana
article en

Abstract

This research study examines the impact of Artificial Intelligence (AI) on enhancing the security of Islamic banking accounting systems in Indonesia. Specifically, it focuses on AI's ability to accurately and efficiently detect fraud. The research used path analysis to investigate how AI's fraud detection capabilities affect accounting system security. The study involved IT professionals, auditors, and risk management staff in Islamic banking as respondents. A detailed questionnaire was developed to measure AI's role, revealing positive and significant effects on accounting system security. These effects were observed both directly and indirectly through fraud detection accuracy and efficiency. Interestingly, the study found that AI has a greater direct impact on security than its mediated effect, indicating that while AI improves fraud detection, its full potential in bolstering accounting system security has yet to be fully realized. The findings offer practical insights for Islamic banks, regulators, and stakeholders to implement and evaluate AI technology for fraud detection.

Jurnal Akuntansi dan BisnisVol. 25(1)
Institut Agama Islam Negeri Bengkulu (ID)
Peace, Justice and strong institutions
Openalex Percentile: Top 69%
Data Mining and Machine Learning Applications
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AI for Fraud Detection and Accounting System Security : Implementation in Indonesian Islamic Banks — Sugiyarti Fatma Laela, Deni Amin Sujana · Jurnal Akuntansi dan Bisnis (2025) | TGRS Research Map | TGRS