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All Journal Owner : Riset dan Jurnal Akuntansi
Fernanda, Icha Amalia
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Economics, Econometrics & Finance

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Peran Kecerdasan Buatan (AI) Dalam Meningkatkan Audit Forensik Untuk Mendeteksi Kecurangan: Tinjauan Literatur Sistematis Fernanda, Icha Amalia; Habiburrochman, Habiburrochman
Owner : Riset dan Jurnal Akuntansi Vol. 9 No. 4 (2025): Artikel Riset Oktober 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/owner.v9i4.2825

Abstract

Forensic auditing increasingly employs artificial intelligence (AI), yet practice faces data, transparency, and institutional-readiness gaps, especially in developing countries. This review conducts a Systematic Literature Review (2015–2025) across Scopus, Web of Science, and SINTA: 150 records screened, 30 included and thematically synthesized via manual coding. Findings answer the RQs through three pathways: anomaly detection in ledgers/transactions, text analysis of reports–claims–communications, and network analysis of supplier–contract relations, strengthened by RPA, immutable logging, and visual analytics; together these reduce false positives, speed investigations, and reinforce evidence auditability. Practically, we map use-cases to implementable transparency controls and propose a staged adoption roadmap for SAIs, anti-corruption agencies, and audit firms. Theoretically, we outline an ethics-regulatory adoption frame. Novelty: this review reframes AI as an epistemic instrument and introduces the Integrated Forensic-AI Transparency Stack (IFATS) to operationalize auditability beyond a finance-centric lens, with emphasis on developing-country contexts.
Co-Authors Habiburrochman .