KECERDASAN BUATAN (AI) DALAM AUDIT LAPORAN KEUANGAN SYARIAH:TREN DAN TANTANGAN

This abstract discusses the use of artificial intelligence in auditing Islamic financial statements, The goal is to not only evaluate the accuracy of the statements but also to ensure that they are in accordance with Islamic principles, such as honesty, fairness, and the prohibition of usury. With technologies such as machine learning and natural language processing, analysis of transactions and contracts can be done quickly and thoroughly. Artificial intelligence supports auditors and the sharia supervisory board in identifying non-halal transaction and checking compliance with fatwas from the DSN-MUI. However, there are major challenges, such as the lack of bias in the algorithm. Collaboration between technology experts, academics, and scholars is needed to create an artificial intelligence audit system that is ethical, transparent, and in line with the maqasid of sharia.

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Publication Details

Journal
Journal of Islamic Economics and Finance
Published
2025-08-30
DOI
https://doi.org/10.70248/joieaf.v2i1.2626
Primary Topic
Islamic Finance and Banking Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

KECERDASAN BUATAN (AI) DALAM AUDIT LAPORAN KEUANGAN SYARIAH:TREN DAN TANTANGAN

Jedlisaputra, Vivi Nurul Alfia, Dzakira isratun Nisa
Journal of Islamic Economics and Finance
Islamic Finance and Banking Studies
article

KECERDASAN BUATAN (AI) DALAM AUDIT LAPORAN KEUANGAN SYARIAH:TREN DAN TANTANGAN

Jedlisaputra, Vivi Nurul Alfia, Dzakira isratun Nisa
article en

Abstract

This abstract discusses the use of artificial intelligence in auditing Islamic financial statements, The goal is to not only evaluate the accuracy of the statements but also to ensure that they are in accordance with Islamic principles, such as honesty, fairness, and the prohibition of usury. With technologies such as machine learning and natural language processing, analysis of transactions and contracts can be done quickly and thoroughly. Artificial intelligence supports auditors and the sharia supervisory board in identifying non-halal transaction and checking compliance with fatwas from the DSN-MUI. However, there are major challenges, such as the lack of bias in the algorithm. Collaboration between technology experts, academics, and scholars is needed to create an artificial intelligence audit system that is ethical, transparent, and in line with the maqasid of sharia.

Journal of Islamic Economics and FinanceVol. 2(1)
Universitas Muhammadiyah Bengkulu (ID)
Openalex Percentile: Top 61%
Islamic Finance and Banking Studies
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