Peran Artificial Intelligence dalam Audit dan Deteksi Fraud: Kajian Literatur
DOI:
https://doi.org/10.55338/jeama.v4i3.367Keywords:
Accounting, Artificial Intelligence, Auditing, Continuous Auditing, Fraud DetectionAbstract
Perkembangan teknologi informasi terus berkembang dan membawa perubahan signifikan dalam praktik audit dan upaya pencegahan kecurangan. Artificial Intelligence (AI) merupakan bentuk perkembangan teknologi dan dapat digunakan sebagai inovasi strategis untuk meningkatkan efektivitas audit dan memperkuat sistem deteksi fraud. Penelitian ini bertujuan untuk menganalisis peran AI dalam memproses audit dan deteksi kecurangan. Metode penelitian yang digunakan adalah studi literatur yang bersumber dari artikel ilmiah nasional dan internasional yang dipublikasikan pada periode 2020–2025. Analisis data dilakukan secara tematik dengan mengelompokkan temuan berdasarkan penerapan AI dalam audit dan fraud detection. Hasil kajian menunjukkan bahwa penerapan AI mampu meningkatkan efisiensi dan kualitas audit melalui otomatisasi prosedur audit, perluasan cakupan pemeriksaan, serta penerapan konsep continuous auditing. Dalam konteks deteksi fraud, AI terbukti efektif dalam mengidentifikasi pola transaksi yang mencurigakan secara real-time melalui penggunaan algoritma prediktif, machine learning, dan model hibrida. Walaupun demikian, implementasi AI masih menghadapi sejumlah permasalahan, seperti keterbatasan kompetensi auditor, risiko bias algoritma, kesiapan infrastruktur teknologi, serta kebutuhan akan regulasi dan etika yang memadai. Penelitian ini menyimpulkan bahwa AI bukan digunakan sebagai pengganti auditor, melainkan sebagai alat bantu strategis yang dapat memperkuat fungsi pengawasan, meningkatkan akurasi audit, dan mendukung transparansi serta akuntabilitas laporan keuangan.
References
ACFE., “Report to the nations: 2022 global study on occupational fraud and abuse.” Association of Certified Fraud Examiners, 2022.
W. P. Suyono, E. S. Puspa, S. Anugrah, and R. Firnanda, “Artificial Intelligence in Auditing: A Systematic Review of Tools, Applications, and Challenges,” RIGGS J. Artif. Intell. Digit. Bus., vol. 4, no. 2, pp. 3393–3401, 2025, doi: 10.31004/riggs.v4i2.1024.
Byline, “The state of AI: How organizations are rewiring to capture value,” McKinsey & Company. 2024.
Gatner, “The state of AI: How organizations are rewiring to capture value.” 2023.
ISO, “The state of AI: How organizations are rewiring to capture value.” 2022.
OECD, “The state of AI: How organizations are rewiring to capture value.” 2021.
M. Arens, A., Elder, R., & Beasley, Auditing and Assurance Services: An Integrated Approach. Pearson, 2022.
A. R. Budi Sulistia and Neni Meidawati, “Audit Atas Piutang Usaha PT X,” J. Apl. Bisnis, vol. 21, no. 1, pp. 529–539, 2024, doi: 10.20885/jabis.vol21.iss1.art4.
T. Herawati and S. S. Selfia, “Tinjauan Indikator Kualitas Audit,” Pros. FRIMA (Festival Ris. Ilm. Manaj. dan Akuntansi), no. 2, pp. 122–126, 2019, doi: 10.55916/frima.v0i2.25.
S. Supriyanto, P. Pina, C. Christian, and V. Silvana, “Menganalisis Indikator Kualitas Audit Pada Perusahaan Audit Di Indonesia,” SIBATIK J. J. Ilm. Bid. Sos. Ekon. Budaya, Teknol. dan Pendidik., vol. 2, no. 1, pp. 199–210, 2022, doi: 10.54443/sibatik.v2i1.520.
P. ayu Lestari and F. O. Edeh, “Sinergi International Journal of Psychology,” Sinergi Int. J. Account. Tax., vol. 2, no. 1, pp. 15–26, 2024.
C. W. Lee, M. W. Fu, C. C. Wang, and M. I. Azis, “Evaluating Machine Learning Algorithms for Financial Fraud Detection: Insights from Indonesia,” Mathematics, vol. 13, no. 4, pp. 1–35, 2025, doi: 10.3390/math13040600.
A. Arief, A. A. Oktaviani, M. Y. Lutfi, M. Adriana, and N. Amalina, “Optimization of Artificial Intelligence in Internal Audit to Enhance the Effectiveness of Financial Fraud Detection Based on Real-Time Data,” vol. 10, no. 2021, pp. 1086–1093, 2025.
I. Ghafar, W. Perwitasari, and Kurnia, “The Role of Artificial Intelligence in Enhancing Global Internal Audit Efficiency An Analysis,” Asian J. Logist. Manag., vol. 3, no. 2, pp. 64–89, 2024, doi: https://doi.org/10.14710/ajlm.2024.24652.
D. Leocádio, L. Malheiro, and J. Reis, “Artificial Intelligence in Auditing: A Conceptual Framework for Auditing Practices,” Adm. Sci., vol. 14, no. 10, 2024, doi: 10.3390/admsci14100238.
J. Kokina, S. Blanchette, T. H. Davenport, and D. Pachamanova, “Challenges and opportunities for artificial intelligence in auditing: Evidence from the field,” Int. J. Account. Inf. Syst., vol. 56, no. September 2023, 2025, doi: 10.1016/j.accinf.2025.100734.
R. P. Silaen and T. Dewayanto, “Penggunaan Berbagai Artificial Intelligence Pada Proses Audit-a Systematic Literature Review,” Diponegoro J. Account., vol. 13, no. 2, pp. 1–15, 2024.
A. K. Veldurthi, “The Role of AI and Machine Learning in Financial Fraud Detection,” J. Comput. Sci. Technol. Stud., vol. 7, no. 4, pp. 757–771, 2025, doi: 10.32996/jcsts.
D. Vallarino, “Detecting Financial Fraud with Hybrid Deep Learning: A Mix-of-Experts Approach to Sequential and Anomalous Patterns,” 2025.
T. Deng, S. Bi, and J. Xiao, “Transformer-Based Financial Fraud Detection with Cloud-Optimized Real-Time Streaming,” Proc. 2024 5th Int. Conf. Big Data Econ. Inf. Manag. BDEIM 2024, pp. 702–707, 2025, doi: 10.1145/3724154.3724271.
B. W. Damayanti and B. Bambang, “Analysing The Adoption Of Artificial Intelligence In Audit Practice,” EKOMBIS Rev. J. Ilm. Ekon. dan Bisnis, vol. 12, no. 3, pp. 2597–2608, 2024, doi: 10.37676/ekombis.v12i3.6032.
W. Murikah, J. K. Nthenge, and F. M. Musyoka, “Bias and ethics of AI systems applied in auditing - A systematic review,” Sci. African, vol. 25, p. e02281, 2024, doi: 10.1016/j.sciaf.2024.e02281.
E. Pérez‑Calderón, S. A. Alrahamneh, and P. M. Montero, “Impact of artificial intelligence on auditing: an evaluation from the profession in Jordan,” Res. Discov. Sustain., vol. 6, 2025, doi: https://doi.org/10.1007/s43621-025-01058-3.
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