URGENSI PEMERIKSAAN AUDIT DALAM MENGUNGKAP PRAKTIK FRAUD PADA LAPORAN KEUANGAN PERUSAHAAN

Authors

  • hariyani hariyani Universitas Budi Luhur
  • Restu Afriansyah
  • Agustina Mappadang

DOI:

https://doi.org/10.26486/jramb.v10i2.4577

Abstract

Laporan keuangan yang andal merupakan fondasi utama bagi pengambilan keputusan ekonomi. Namun, praktik fraud yang dilakukan oleh pihak internal perusahaan kerap mengaburkan transparansi informasi keuangan. Audit dipandang sebagai instrumen penting dalam mendeteksi dan mencegah kecurangan tersebut. Penelitian ini bertujuan untuk mengkaji secara sistematis peran audit dalam mengungkap praktik fraud melalui pendekatan Systematic Literature Review (SLR). Data dikumpulkan dari 20 artikel ilmiah terbitan 2021–2025 yang diperoleh dari database seperti Scopus, DOAJ, dan Google Scholar, dengan proses seleksi mengikuti alur PRISMA. Hasil penelitian menunjukkan bahwa efektivitas audit dalam mendeteksi fraud dipengaruhi oleh beberapa faktor utama, yaitu kompetensi auditor, tingkat independensi, pemanfaatan teknologi audit, kualitas sistem pengendalian internal perusahaan, serta kolaborasi antara auditor internal dan eksternal. Pembahasan mengungkap bahwa meskipun auditor memiliki peran strategis, mereka juga dihadapkan pada berbagai keterbatasan seperti tekanan manajemen, keterbatasan sumber daya, dan kompleksitas skema fraud modern. Penelitian ini menyimpulkan bahwa perbaikan sistem audit secara menyeluruh, peningkatan kapasitas auditor, serta dukungan kelembagaan dan teknologi menjadi syarat penting dalam memperkuat peran audit sebagai garda terdepan dalam pencegahan fraud. Studi ini menegaskan perlunya reformasi kurikulum pendidikan auditor, penguatan regulasi independensi audit oleh otoritas, serta distribusi akses teknologi audit yang lebih merata, khususnya bagi KAP skala menengah di Indonesia

References

Achmad, T., Ghozali, I., & Pamungkas, I. D. (2022). Hexagon fraud: Detection of fraudulent financial reporting in state-owned enterprises Indonesia. Economies, 10(1), 13. https://doi.org/10.3390/economies10010013

Al Natour, A. R., Al-Mawali, H., Zaidan, H., & Said, Y. H. Z. (2025). The role of forensic accounting skills in fraud detection and the moderating effect of CAATTs application: Evidence from Egypt. Journal of Financial Reporting and Accounting, 23(1), 30–55.

Amyar, F., Rahma, A., Azis, N., & Suwarno, S. (2023). The effect of auditor’s professional skepticism and whistleblowing system on fraud detection: Evidence from Indonesian public sector audit. Research Horizon, 3(4), 477–486.

Arum, E. D. P., & Wahyudi, I. (2021, June). Audit quality and fraud detection: Evidence of the internal auditor of Jambi province. In Sixth Padang International Conference on Economics Education, Economics, Business and Management, Accounting and Entrepreneurship (PICEEBA 2020) (pp. 8–14). Atlantis Press.

Baghdasaryan, V., Davtyan, H., Sarikyan, A., & Navasardyan, Z. (2022). Improving tax audit efficiency using machine learning: The role of taxpayer’s network data in fraud detection. Applied Artificial Intelligence, 36(1), 2012002. https://doi.org/10.1080/08839514.2022.2012002

Demirović, L., Isaković-Kaplan, Š., & Proho, M. (2021). Internal audit risk assessment in the function of fraud detection. Journal of Forensic Accounting Profession, 1(1), 35–49.

Du, X. (2025). Audit fraud detection via EfficiencyNet with separable convolution and self-attention. Transactions on Computational and Scientific Methods, 5(2).

Elumilade, O. O., Ogundeji, I. A., Achumie, G. O., Omokhoa, H. E., & Omowole, B. M. (2021). Enhancing fraud detection and forensic auditing through data-driven techniques for financial integrity and security. Journal of Advanced Education and Sciences, 1(2), 55–63.

Handoko, B. L., & Liusman, S. (2021, July). Analysis of external auditor intentions in adopting artificial intelligence as fraud detection with the unified theory of acceptance and use of technology (UTAUT) approach. In Proceedings of the 2021 12th International Conference on E-business, Management and Economics (pp. 96–103).

Ilori, O., Nwosu, N. T., & Naiho, H. N. N. (2024). Advanced data analytics in internal audits: A conceptual framework for comprehensive risk assessment and fraud detection. Finance & Accounting Research Journal, 6(6), 931–952.

Kamdjoug, J. R. K., Sando, H. D., Kala, J. R., Teutio, A. O. N., Tiwari, S., & Wamba, S. F. (2024). Data analytics-based auditing: A case study of fraud detection in the banking context. Annals of Operations Research, 340(2), 1161–1188.

Kassem, R., & Turksen, U. (2021). Role of public auditors in fraud detection: A critical review. Contemporary Issues in Public Sector Accounting and Auditing, 105, 33–56.

Lannai, D., Muslim, M., & Aviyah, N. (2021). Causality of fraud detection. Jurnal Akuntansi, 25(1), 19–33.

Nguyen, T. Q., Truong, T. H., Tran, M. D., Phung, V. H., Nguyen, T. L., & Tran, B. M. (2024). Determinants influencing the effectiveness of internal auditing and the responsibility of auditors in fraud detection in an emerging country. Journal of Governance and Regulation, 13(1).

Nisak, I. A., & Rochayatun, S. (2023). The role of internal audit, fraud detection, and prevention in universities: A literature review. Dialektika: Jurnal Ekonomi dan Ilmu Sosial, 8(1), 63–71.

Noch, M. Y., Ibrahim, M. B. H., Akbar, M. A., Kartim, K., & Sutisman, E. (2022). Independence and competence on audit fraud detection: Role of professional skepticism as moderating. Jurnal Akuntansi, 26(1), 161–175.

Owolabi, S. A., & Ogunsola, O. A. (2021). Forensic auditing and fraud detection in the Nigerian deposit money banks. American Journal of Humanities and Social Sciences, 5(2), 347–355.

Oyerogba, E. O. (2021). Forensic auditing mechanism and fraud detection: The case of Nigerian public sector. Journal of Accounting in Emerging Economies, 11(5), 752–775.

Priyadi, A., Hanifah, I. A., & Muchlish, M. (2022). The effect of whistleblowing system toward fraud detection with forensic audit and investigative audit as mediating variable. Devotion: Journal of Research and Community Service, 3(4), 336–346.

Qatawneh, A. M. (2024). The role of artificial intelligence in auditing and fraud detection in accounting information systems: Moderating role of natural language processing. International Journal of Organizational Analysis. https://doi.org/10.1108/IJOA-09-2023-3904

Sánchez-Aguayo, M., Urquiza-Aguiar, L., & Estrada-Jiménez, J. (2021). Fraud detection using the fraud triangle theory and data mining techniques: A literature review. Computers, 10(10), 121. https://doi.org/10.3390/computers10100121

Sembiring, F. N. B. R., & Widuri, R. I. N. D. A. N. G. (2023). The effect of auditor experience, big data and forensic audit as mediating variables on fraud detection. Journal of Theoretical and Applied Information Technology, 101(6), 2324–2337.

Soltani, M., Kythreotis, A., & Roshanpoor, A. (2023). Two decades of financial statement fraud detection literature review; Combination of bibliometric analysis and topic modeling approach. Journal of Financial Crime, 30(5), 1367–1388.

Wahidahwati, W., & Asyik, N. F. (2022). Determinants of auditors ability in fraud detection. Cogent Business & Management, 9(1), 2130165. https://doi.org/10.1080/23311975.2022.2130165

Published

2025-07-11

Issue

Section

Jurnal Riset Akuntansi Mercu Buana (JRAMB)