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All Journal Journal of Management and Economics Research
Ayu Iryanti binti Azni
Politeknik Tuanku Syed Sirajuddin, Perlis
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Evaluasi SWOT Penerapan Artificial Intelligence dalam Audit Forensik dan Pencegahan Fraud Perbankan Azwansyah Habibie; Selva Temalagi; Suginam Suginam; Ayu Iryanti binti Azni
Journal of Management and Economics Research Vol 3 No 3 (2025): Agustus 2025
Publisher : Graha Mitra Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62866/jomer.v3i3.243

Abstract

This study aims to evaluate the application of artificial intelligence (AI) in forensic auditing and banking fraud prevention using SWOT analysis. The main issue addressed is the imbalance between AI’s potential in detecting and preventing fraud and the limitations of human expertise, regulatory frameworks, and security risks. The results show that AI demonstrates strong capabilities in fraud detection efficiency and audit cost reduction, but weaknesses remain in auditor literacy and algorithmic transparency. Opportunities are driven by global regulatory support and collaboration with fintech, while threats arise from cyberattacks and the potential misuse of AI by fraudsters. The novelty of this study lies in the integration of SWOT analysis with measurable implementation indicators that can empirically assess the readiness and effectiveness of AI adoption in forensic auditing. This research contributes to the theoretical development of AI-based forensic auditing and provides practical implications for banking institutions to formulate more transparent, secure, and adaptive AI implementation strategies.
Co-Authors Azwansyah Habibie, Azwansyah Selva Temalagi Suginam Suginam