PENGARUH TEKNOLOGI ARTIFICIAL INTELLIGENCE (AI) DAN BIG DATA DALAM PROSES AUDIT
DOI:
https://doi.org/10.70248/jakpt.v3i2.3419Abstract
Penelitian ini bertujuan untuk menganalisis pengaruh dan peran teknologi Artificial Intelligence (AI) dan Big Data dalam meningkatkan efektivitas dan kualitas proses audit. Metode penelitian yang digunakan adalah pendekatan kualitatif dengan studi literatur sistematis terhadap jurnal nasional dan internasional terindeks, buku, serta publikasi ilmiah relevan yang membahas penerapan AI dan Big Data dalam praktik audit. Hasil penelitian menunjukkan bahwa integrasi Artificial Intelligence dan Big Data mampu meningkatkan efisiensi proses audit melalui otomatisasi prosedur, analisis seluruh populasi data, deteksi anomali dan kecurangan secara lebih akurat, serta peningkatan kualitas bukti audit dan pengambilan keputusan berbasis risiko secara real-time. Simpulan, bahwa penerapan AI dan Big Data berperan strategis dalam mentransformasi praktik audit modern, namun implementasinya masih memerlukan kesiapan infrastruktur teknologi, peningkatan kompetensi auditor, serta penguatan kerangka etika dan tata kelola data agar manfaatnya dapat dioptimalkan secara berkelanjutan.
References
A Systematic Literature Review of the Role of Big Data Analysis in Financial Auditing. (2024). Management and Accounting Review, 23(2). https://doi.org/10.24191/mar.v23i02-14
Alghafiqi, B., & Munajat, E. (2022). Impact Of Artificial Intelligence Technology On Accounting Profession. Berkala Akuntansi Dan Keuangan Indonesia, 7(2), 140–159. https://doi.org/10.20473/baki.v7i2.27934
Ananda, R. F., Rahmadhani, S., Pane, A. A., & Wiratama, N. H. (2024). Assessment Audit: How Artificial Intelligence Affected Audit Quality of Sustainability Report Based on Auditors Perspective. Information Management and Business Review, 16, 152–158. https://doi.org/10.22610/imbr.v16i3(i)s.4049
Antwi, B. O., Adelakun, B. O., Fatogun, D. T., & Olaiya, O. P. (2024). Enhancing audit accuracy: The role of AI in detecting financial anomalies and fraud. Finance & Accounting Research Journal, 6(6), 1049–1068. https://doi.org/10.51594/farj.v6i6.1235
Atayah, O. F., & Alshater, M. M. (2021). Audit and tax in the context of emerging technologies: A retrospective analysis, current trends, and future opportunities. The International Journal of Digital Accounting Research, 95–128. https://doi.org/10.4192/1577-8517-v21_4
Bani, P., Siregar, N., Subiyanto, B., & Awaludin, D. T. (2025). Digital Transformation in the Audit Process: A Systematic Review of Innovation, Challenges, and its Impact on Audit Quality. Journal Research of Social Science Economics and Management, 5(3), 3454–3471. https://doi.org/10.59141/jrssem.v5i3.1109
Barus, E., Pardede, K. M., & Manjorang, J. A. P. B. (2024). Transformasi Digital: Teknologi Cloud Computing dalam Efisiensi Akuntansi. JURNAL SAINS DAN TEKNOLOGI, 5(3), 904–911. https://doi.org/10.55338/saintek.v5i3.2862
Buku panduan penyusunan skripsi Program Sarjana Farmasi, Fakultas Kedokteran dan Ilmu Kesehatan, Universitas Muhammadiyah Makassar. (2024).
Chowdhury, E. K. (2017). Functioning of Fama-French Three-Factor Model in Emerging Stock Markets: An Empirical Study on Chittagong Stock Exchange, Bangladesh. Journal of Financial Risk Management, 6(4), 352–363. https://doi.org/10.4236/jfrm.2017.64025
Couceiro, B., Pedrosa, I., & Marini, A. (2020). State of the Art of Artificial Intelligence in Internal Audit context. 2022 17th Iberian Conference on Information Systems and Technologies (CISTI), 1–7. https://doi.org/10.23919/cisti49556.2020.9140863
Dako, O. F., Onalaja, T. A., Nwachukwu, P. S., Bankole, F. A., & Lateefat, T. (2020). Big data analytics improving audit quality, providing deeper financial insights, and strengthening compliance reliability. Journal of Frontiers in Multidisciplinary Research, 1(2), 64–80. https://doi.org/10.54660/.jfmr.2020.1.2.64-80
Dewi, N. S., Said, J., Faiza, S. N., & Julian, L. (2023). The effect of big data competencies and tone at the top on internal auditors fraud detection effectiveness. Decision Science Letters, 13(1), 153–160. https://doi.org/10.5267/j.dsl.2023.10.005
Fariah, A. (2023). Mengeksplorasi Masa Depan Audit: Memanfaatkan Teknologi dan Analisis Data untuk Peningkatan Integritas Keuangan. Cakrawala Repositori IMWI, 6(4), 1388–1399. https://doi.org/10.52851/cakrawala.v6i4.380
Fauziyyah, N. (2022). Efek Digitalisasi Terhadap Akuntansi Manajemen. Jurnal Akuntansi Keuangan Dan Bisnis, 15(1), 381–390. https://doi.org/10.35143/jakb.v15i1.5276
Fidyah, F., Usman, K., Pradita, A. E., & Setyawati, D. (2024). The Impact of Artificial Intelligence on Auditing Processes and Accuracy: A Future Outlook. Dinasti International Journal of Economics Finance & Accounting, 5(4), 4350–4358. https://doi.org/10.38035/dijefa.v5i4.3224
Ganapathy, V. (2023). AI in Auditing: A Comprehensive Review of Applications, Benefits and Challenges. In Shodh Sari-An International Multidisciplinary Journal (Vol. 2, Issue 4, pp. 328–343). https://doi.org/10.59231/sari7643
Hakim, F., Fadlillah, A. N., & Rofiq, M. N. (2024). Artificial Intellegence (AI) dan Dampaknya Dalam Distorsi Pendidikan Islam. Urwatul Wutsqo Jurnal Studi Kependidikan Dan Keislaman, 13(1), 129–144. https://doi.org/10.54437/urwatulwutsqo.v13i1.1330
Haq, A. N., & Handayani, A. (2024). Analisis Pengendalian Intern Piutang Dalam Meminimalkan Risiko Piutang Tak Tertagih Pada Pt Xyz. Komitmen Jurnal Ilmiah Manajemen, 5(1), 69–83. https://doi.org/10.15575/jim.v5i1.34028
Ikhsan, W. M., Ednoer, E. H., Kridantika, W. S., & Firmansyah, A. (2022). Fraud Detection Automation Through Data Analytics And Artificial Intelligence. Riset, 4(2), 103–119. https://doi.org/10.37641/riset.v4i2.166
Ismail, N. D. N. (n.d.). Implementasi Cloud-Based Machine Learning Untuk Prediksi Tren Pengeluaran Pendidikan Global: Pendekatan Linear Regression Pada Google Bigquery.
Iwuanyanwu, U., Apeh, A. J., Adaramodu, O. R., Okeleke, E. C., & Fakeyede, O. G. (2023). Analyzing The Role Of Artificial Intelligence In It Audit: Current Practices And Future Prospects. Computer Science & IT Research Journal, 4(2), 54–68. https://doi.org/10.51594/csitrj.v4i2.606
Joshi, P. L. (2021). Which factors affect the internal audit effectiveness in India? Indian Journal of Commerce & Management Studies, 2, 1. https://doi.org/10.18843/ijcms/v12i2/01
Leocádio, D., Malheiro, L., & Reis, J. (2024). Artificial Intelligence in Auditing: A Conceptual Framework for Auditing Practices. Administrative Sciences, 14(10), 238. https://doi.org/10.3390/admsci14100238
Lidiana, L. (2024). AI and Auditing: Enhancing Audit Efficiency and Effectiveness with Artificial Intelligence. Deleted Journal, 1(3), 214–223. https://doi.org/10.62207/g0wpn394
Listya, A., Aspahani, A., & Sitepu, C. D. S. (2023). Implementasi Big Data Analytics dan Opini Audit terhadap Kualitas Audit dengan Audit Delay Sebagai Variabel Mediasi. Owner, 7(3), 2062–2071. https://doi.org/10.33395/owner.v7i3.1531
Mpofu, F. Y. (2023). The application of Artificial Intelligence in external auditing and its implications on audit quality? A review of the ongoing debates. In International Journal of Research in Business and Social Science (2147-4478) (Vol. 12, Issue 9, pp. 496–512). Ümit Hacıoğlu. https://doi.org/10.20525/ijrbs.v12i9.2737
Osedahunsi, B. O. (2024). AI and Big Data in Public Accounting: Revolutionizing Audit Processes and Financial Reporting. International Journal of Research Publication and Reviews, 5(11), 5099–5113. https://doi.org/10.55248/gengpi.5.1124.3331
Priyo, A. (2025). Transforming Financial Auditing in the Era of Artificial Intelligence. Global Management, 2(2), 33–37. https://doi.org/10.70062/globalmanagement.v2i2.199
Sari, C. F. S. C. F., Asnaini, A., & Junaidi, A. (2025). Literasi Pembiayaan Syariah bagi UMKM Pengrajin Batik Tulis: Studi di Kampung Batik Betungan. Jurnal Pengabdian Masyarakat Dan Riset Pendidikan, 4(1), 6232–6238. https://doi.org/10.31004/jerkin.v4i1.2578
Sari, Y., & Kurniawati, K. (2021). APAKAH SKEPTISISME PROFESIONAL, KOMPLEKSITAS TUGAS DAN TEKNIK AUDIT BERBANTUAN KOMPUTER BERDAMPAK TERHADAP KUALITAS AUDIT? Ultimaccounting Jurnal Ilmu Akuntansi, 238–256. https://doi.org/10.31937/akuntansi.v13i2.2221
Setyowicaksono, W., Firhan, M., & Uzliawati, L. (2023). CORPORATE AUDIT QUALITY POST COVID-19. Dynamic Management Journal, 7(3), 294. https://doi.org/10.31000/dmj.v7i3.8690
Soeprajitno, R. R. W. N. (2019). Potensi Artificial Intelligence(Ai) Menerbitkan Opini Auditor ? Jurnal Riset Akuntansi Dan Bisnis Airlangga, 4(1). https://doi.org/10.20473/jraba.v4i1.46046
Sun, Y., Li, J., Lu, M., & Guo, Z. (2024). Study of the Impact of the Big Data Era on Accounting and Auditing. Frontiers in Business Economics and Management, 13(3), 44–47. https://doi.org/10.54097/0fa7xk79
Supriadi, I. (2024). The audit revolution: Integrating artificial intelligence in detecting accounting fraud. Akuntansi Dan Teknologi Informasi, 17(1), 48–61. https://doi.org/10.24123/jati.v17i1.6279
Tambun, S., & Sitorus, R. R. (2023). Challenges, Strategies And Qualifications Of Auditors In The Society 5.0 Era. JRAK, 15(2), 228–240. https://doi.org/10.23969/jrak.v15i2.7183
Theodorakopoulos, L., Thanasas, G. L., & Halkiopoulos, C. (2024). Implications of Big Data in Accounting: Challenges and Opportunities. Emerging Science Journal, 8(3), 1201–1214. https://doi.org/10.28991/esj-2024-08-03-024
Yuriski, Y. W., & Kuntadi, C. (2022). Pengaruh Independensi, Kompetensi, Dan Implementasi Teknik Audit Berbantuan Komputer Terhadap Kualitas Audit. Jurnal Multidisiplin Indonesia, 1(3), 932–937. https://doi.org/10.58344/jmi.v1i3.86
Zaleha, P. A., & Novita, N. (2021). Dampak Teknologi Informasi, Etika Profesi Terhadap Kinerja Auditor. JURNAL AKUNTANSI DAN AUDITING, 17(1), 90–114. https://doi.org/10.14710/jaa.17.1.90-114
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Jurnal Akuntansi, Keuangan, Perpajakan dan Tata Kelola Perusahaan

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

















