Masa depan Kecerdasan Buatan dalam Akuntansi Forensik

Authors

  • Yessica Amelia STIE Kasih Bangsa
  • Muhammad Rizal STIE Kasih Bangsa
  • Rina Amelia STIE Kasih Bangsa

DOI:

https://doi.org/10.62383/jkm.v1i4.859

Keywords:

Forensic Accounting, Artificial Intelligence, Technology

Abstract

The use of artificial intelligence (AI) in forensic science has become an interesting topic and has brought tremendous progress in various fields, forensic science being one of them. With AI's ability to analyze large-scale data and detect patterns that are difficult for humans to see, this technology helps in speeding up investigations and increasing the accuracy of results. In the ever-growing digital era, the volume of data generated by organizations is increasingly large and complex. This creates significant challenges for forensic accountants in detecting and analyzing fraud and discrepancies in financial statements. AI offers innovative solutions with its ability to analyze large amounts of data, identify patterns, and detect anomalies at a speed and accuracy that far exceeds human capabilities.

References

Akhmad Rifai, & Fuad Yanuar. (2021). Akuntansi Forensik Dalam Konsep Islam Terhadap Fraud Sebagai Upaya Pencegahan Kejahatan Akuntansi. Jurnal MONEX, 10(10), 142–149. https://doi.org/https://doi.org/10.30591/monex.v10i2.2013.g1457

Amelia, R., & Benardi. (2023). Masa Depan Akuntansi: Akankah AI Menggantikan Akuntan. ARDHI: Jurnal Pengabdian Dalam Negri, 2(3), 171–180. https://doi.org/10.61132/ardhi.v1i3.653

Raihan, M., Nasution, M. L. I., & Daulay, A. N. (2024). Analisis Dampak Perkembangan Teknologi AI Dalam Meningkatkan Efisiensi Operasional Bank Syariah (Studi Kasus Bank Sumut Kantor Cabang Syariah Medan Ringroad). Jesya, 7(2), 2049–2062. https://doi.org/10.36778/jesya.v7i2.1762

Sugiyono. (2013). Metodologi Penelitian. 71–92.

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Published

2024-12-05

How to Cite

Yessica Amelia, Muhammad Rizal, & Rina Amelia. (2024). Masa depan Kecerdasan Buatan dalam Akuntansi Forensik. Jurnal Kemitraan Masyarakat, 1(4), 151–156. https://doi.org/10.62383/jkm.v1i4.859

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