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Penerapan Kecerdasan Buatan (AI) dalam Praktik Akuntansi di Indonesia

Published: 2025-06-30
Jernih, Bagus Laksono
Affiliation Details
  • Jernih: Universitas Sumatera Utara
  • Bagus Laksono: Universitas Harapan Medan

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Abstract

This study investigates the use of artificial intelligence (AI) in Indonesian accounting processes, offering a thorough grasp of the implications and difficulties that accounting professionals must overcome. Based on its findings, the study comes to a number of important conclusions. First off, the application of AI in Indonesia has improved the accuracy and efficiency of financial data processing and analysis. As a result of the integration of AI, financial information is now much more accurate, offering a more relevant and dependable foundation for decision-making. This is in line with global trends that highlight the importance of technology in improving accounting performance. Second, the study shows that AI is driving a change in audit procedures. The technology represents a paradigm shift in auditing since it helps auditors spot patterns of abnormalities and potential hazards more effectively.

Keywords:

Artificial Intelligence; Accounting Practice; Automation; Industry 4.0

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Author Biographies
Jernih

Universitas Sumatera Utara

Google Scholar ResearchGate ORCID

Program Studi Akuntansi, Fakultas Ekonomi dan Bisnis, Universitas Sumatera Utara, Medan, Indonesia.

Bagus Laksono

Universitas Harapan Medan

Google Scholar ResearchGate ORCID

Program Studi Manajemen, Fakultas Ekonomi dan Bisnis, Universitas Harapan Medan, Medan, Indonesia.

Article Identifiers
  • Article Title: Penerapan Kecerdasan Buatan (AI) dalam Praktik Akuntansi di Indonesia
  • DOI: 10.35870/ib.v1i1.568
  • Publication Date: 2025-06-30
  • Journal: Indonesian Business: Jurnal Ekonomi, Bisnis, dan Teknologi Digital
  • Volume: 1
  • Issue: 1
  • Pages: 40-47
References
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  • Pasaribu, M., & Widjaja, A. (2022). Artificial Intelligence: Perspektif Manajemen Strategis. Kepustakaan Populer Gramedia. Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Saragih, A. H., Reyhani, Q., Setyowati, M. S., & Hendrawan, A. (2023). The potential of an artificial intelligence (AI) application for the tax administration system’s modernization: the case of Indonesia. Artificial Intelligence and Law, 31(3), 491-514. Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Savitri, A. (2019). Revolusi industri 4.0: mengubah tantangan menjadi peluang di era disrupsi 4.0. Penerbit Genesis. Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Siska, M., Siregar, I., Saputra, A., Juliana, M., & Afifudin, M. T. (2023). Kecerdasan Buatan dan Big Data dalam Industri Manufaktur: Sebuah Tinjauan Sistematis. Nusantara Technology and Engineering Review, 1(1), 41-53. Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Sulartopo, S., Kholifah, S., Danang, D., & Santoso, J. T. (2023). Transformasi Proyek Melalui Keajaiban Kecerdasan Buatan: Mengeksplorasi Potensi AI Dalam Project Management. Jurnal Publikasi Ilmu Manajemen, 2(2), 363-392. Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers
  • Uno, H. B., & Umar, M. K. (2023). Mengelola kecerdasan dalam pembelajaran: sebuah konsep pembelajaran berbasis kecerdasan. Bumi Aksara. Google Scholar Scite Semantic Scholar Scilit Crossref Connected Papers

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Penerapan Kecerdasan Buatan (AI) dalam Praktik Akuntansi di Indonesia. (2025). Indonesian Business: Jurnal Ekonomi, Bisnis, Dan Teknologi Digital, 1(1), 40-47. https://doi.org/10.35870/ib.v1i1.568
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Volume: 1
Issue: 1
Issue Link: Vol. 1 No. 1 (2025): June
Pages: 40-47
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Section: Articles
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