Konseptual Mengenai Tantangan Etika Akuntan Di Era Artificial Intelegence (AI) Di Indonesia Kajian Literatur

Authors

  • Fajar Sulistyawan Universitas Islam Negeri Sunan Ampel Author
  • Ajeng Tita Nawangsari Universitas Islam Negeri Sunan Ampel Author

DOI:

https://doi.org/10.63822/t1ss2x70

Keywords:

Akuntansi, Etika, Ai

Abstract

This study analyzes the ethical challenges faced by accountants in Indonesia amid the rapid development of Artificial Intelligence (AI). AI has transformed accounting practices such as auditing, financial reporting, and fraud detection. Although it increases efficiency and accuracy, AI raises ethical issues including algorithmic bias, unclear accountability, data privacy risks, and excessive reliance on technology. This literature review synthesizes findings from national and international research to evaluate the relevance of the Indonesian Code of Ethics for Accountants and proposes recommendations to maintain professional integrity in the digital era.

 

 

 

 

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References

Haenlein, M., & Kaplan, A. (2019). A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence. California Management Review, 61(4), 5–14.

Haenlein, M., & Kaplan, A. (2019). A brief history of Artificial Intelligence: On the past, present, and future of Artificial Intelligence. California Management Review, 61(4), 5–14. https://doi.org/10.1177/0008125619864925

Hart, C. (2018). Doing a literature review: Releasing the research imagination (2nd ed.). London: SAGE Publications.

Hotma, T., & Daniel, F. (2023). Persepsi auditor terhadap penggunaan Artificial Intelligence dalam audit. Jurnal Akuntansi dan Keuangan Indonesia, 20(2), 122–135.

IAI. (2022). Kode Etik Akuntan Indonesia. Ikatan Akuntan Indonesia.

Ikatan Akuntan Indonesia. (2022). Kode Etik Akuntan Indonesia. Jakarta: IAI.

Krippendorff, K. (2018). Content analysis: An introduction to its methodology (4th ed.). Thousand Oaks, CA: Sage.

Kuncoro, A., Nugroho, B., & Hartono, S. (2023). Penerapan Artificial Intelligence dalam audit berbasis big data. Jurnal Sistem Informasi dan Audit, 15(1), 44–56.

Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & PRISMA Group. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Medicine, 6(7), e1000097. https://doi.org/10.1371/journal.pmed.1000097

Muntamah, R., & Sikki, F. (2025). Peran Artificial Intelligence dalam meningkatkan efisiensi bisnis. Jurnal Ekonomi dan Teknologi, 12(1), 77–89.

Muntamah, S., & Sikki, N. (2025). Peran Artificial Intelligence (AI) dalam Mempertahankan Keunggulan Kompetitif Bisnis di Era Digital: Sebuah Kajian Literatur. Profit: Jurnal Manajemen, Bisnis dan Akuntansi, 4(1), 309-319.

Nainggolan, P. (2024). Audit berbasis data besar: Peluang dan tantangan bagi auditor. Jurnal Akuntansi dan Teknologi, 18(1), 15–28.

Natanael, Y., Pratama, A., & Dewi, S. (2024). Laporan keuangan real-time berbasis AI: Analisis manfaat dan risiko. Jurnal Akuntansi Kontemporer, 9(2), 101–115.

Neuman, W. L. (2014). Social research methods: Qualitative and quantitative approaches (7th ed.). Harlow: Pearson.

Rosmiati, R. (2024). Kecerdasan buatan dan objektivitas akuntan di era digital. Jurnal Etika dan Profesi Akuntansi, 6(1), 33–47.

Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039

Sujana, I., & Laela, F. (2023). Implementasi kecerdasan buatan dalam sistem akuntansi perbankan syariah. Jurnal Akuntansi Syariah, 7(2), 88–100.

Wahyudi, T., & Nugroho, A. (2023). Kebijakan dan Etika dalam Penggunaan AI pada Praktik Akuntansi. JABEI, 5(2), 112-123.

Wahyudi, T., & Nugroho, A. (2023). Regulasi perlindungan data dan tantangan akuntansi digital di Indonesia. Jurnal Kebijakan Ekonomi dan Teknologi, 5(1), 55–70.

Published

2025-11-29

How to Cite

Sulistyawan, F., & Ajeng Tita Nawangsari. (2025). Konseptual Mengenai Tantangan Etika Akuntan Di Era Artificial Intelegence (AI) Di Indonesia Kajian Literatur. Ekopedia: Jurnal Ilmiah Ekonomi, 1(4), 2559-2571. https://doi.org/10.63822/t1ss2x70