Optimalisasi Transaksi Akuntansi Syariah dengan Kecerdasan Buatan: Meningkatkan Akurasi, Efisiensi, dan Kepercayaan
DOI:
https://doi.org/10.32493/amq.v2i2.44562Keywords:
Kecerdasan buatan; akuntansi syariah; teknologi; Efisiensi.Abstract
ABSTRAK
Semakin mengandalkan teknologi kecerdasan buatan untuk membantu analisis data, pengambilan keputusan, dan pengembangan strategi bisnis. Penelitian ini mengeksplorasi dampak kecerdasan buatan pada profesi akuntansi teritama pada akuntansi syariah dan bagaimana teknologi ini dapat meningkatkan efisiensi dan akurasi dalam pemprosesan transaksi akuntansi syariah. Penelitian ini menggunakan metode analisis deskriptif kualitatif. Pendekatan yang digunakan yaitu library research. Studi ini mengungkapkan bahwa penggunaan kecerdasan buatan dapat membantu mengotomatisasi pekerjaan-pekerjaan rutin seperti memasukkan data, menyamakan data di berbagai akun, dan membuat laporan keuangan. Kecerdasan buatan juga dapat melakukan analisis data keuangan secara cepat dan mendalam menggunakan teknik seperti machine learning. Namun dalam pelaksanannya, AI juga menghadirkan beberapa tantangan, yaitu masalah etika seperti bias algoritma, kurangnya transparansi dan akuntabilitas perlu diperhatikan. Keamanan data seperti serangan dari pihak yang tidak bertanggung jawab dan kebocoran data pribadi nasabah juga menjadi isu yang penting. Selain itu, belum ada regulasi dan pedoman hukum yang jelas untuk menggunakan AI dalam akuntansi syariah. diperlukan kolaborasi antara pemerintah, lembaga keuangan syariah, dan komunitas AI dalam menyusun panduan etika, praktik keamanan data terbaik, serta regulasi yang sesuai prinsip syariah.
Kata Kunci: Kecerdasan buatan; akuntansi syariah; teknologi; Efisiensi.
ABSTRACT
Artificial Intelligence (Artificial Intelligence) has changed various industries, including the accounting field. Accountants are increasingly relying on artificial intelligence technology to help with data analysis, decision making and business strategy development. This research explores the impact of artificial intelligence on the accounting profession, especially on sharia accounting and how this technology can increase efficiency and accuracy in processing sharia accounting transactions. This research uses a qualitative descriptive analysis method. The approach used is library research. This study reveals that the use of artificial intelligence can help automate routine tasks such as entering data, equalizing data across various accounts, and creating financial reports. Artificial intelligence can also perform financial data analysis quickly and in-depth using techniques such as machine learning. However, in its implementation, AI also presents several challenges, namely ethical issues such as algorithm bias, lack of transparency and accountability that need to be considered. Data security, such as attacks from irresponsible parties and leaks of customer personal data, are also important issues. Apart from that, there are no clear legal regulations and guidelines for using AI in sharia accounting. Collaboration is needed between the government, sharia financial institutions and the AI community in developing ethical guidelines, best data security practices and regulations that comply with sharia principles.
Keywords: Artificial intelligence; sharia accounting; technology; Efficiency.
References
Alyoussef, B. A., & Al-Rashed, W. (2021). Ethical Considerations in Artificial Intelligence Applications for Accounting Domains. International Journal of Academic Research in Accounting, Finance and Management Sciences, 11, 252–265. https://doi.org/10.6007/IJARAFMS/v11-i1/8906
Arrieta, A. B., Díaz-Rodríguez, Ser, D., J., B., A., Tabik, S., Barbado, & Herrera, F. (2020). Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Information Fusion. 82–115. https://doi.org/https://doi.org/10.1016/j.inffus.2019.12.012
Ayyu, A., Yunus, M. A. M., & Ismail, M. (2021). Data Security and Privacy Challenges in Artificial Intelligence Applications for Islamic Banking. International Journal of Advanced Computer Science and Applications, 12, 510–518. https://doi.org/10.14569/IJACSA.2021.0120563
Choudhary, P., Gaur, L., Agarwal, S. R., & Rai, H. (2023). Explainable Artificial Intelligence in Accounting: A Literature Review. Journal of Information & Knowledge Management, 22, 1–26. https://doi.org/10.1142/S0219649223500013
Cowgill, B., & Tucker, C. E. (2019). Algorithmic fairness and economics. The Journal of Economic Perspectives, 33, 43–73. https://doi.org/https://doi.org/10.1257/jep.33.1.43
Finck, M. (2020). Artificial Intelligence and Accountability: The Challenge of Creating an AI Accountability Regime. https://doi.org/https://doi.org/10.1017/9781108768443.008
Hasan, A. R. (2022). Artificial Intelligence (AI) in Accounting & Auditing: A Literature Review. Open Journal of Business and Management, 10(01), 440–465. https://doi.org/10.4236/ojbm.2022.101026
Ilma Amelia, Yovanna Nabila Azzahra, Abda Abda, & Zul Azmi. (2024). Pemanfaatan Artificial Intelligence Dalam Akuntansi: Kajian Literatur Review. Akuntansi, 3(1), 129–140. https://doi.org/10.55606/akuntansi.v3i1.1472
Jiang, Jiang, F., Y., Zhi, H., Dong, Y., Li, H., Ma, S., & Wang, Y. (2019). Artificial intelligence in healthcare: past, present and future. Stroke and vascular neurology. 2, 230–243. https://doi.org/https://doi.org/10.1136/svn-2017-000101
Mahar, M., Dewan, N., & Rana, A. I. (2022). Regulating Artificial Intelligence in Finance: Exploring the Policy Challenges. Journal of Financial Transformation, 5, 77–94.
Mahomed, Z., Durrani, M., & Hassan, R. (2021). Ethical Framework for Artificial Intelligence in Islamic Finance. ISRA International Journal of Islamic Finance, 13, 151–169. https://doi.org/10.1108/IJIF-07-2020-0134
Mahomed, Z., Durrani, M., & Hassan, R. (2022). Artificial Intelligence Governance in Islamic Finance: A Conceptual Framework. ISRA International Journal of Islamic Finance, 14, 1–18. https://doi.org/10.1108/IJIF-04-2021-0058
Maryani1, F. S. (2021). Pengembangan Model Akuntansi yang Berbasis Kecerdasan Buatan Development. AFoSJ-LAS,Vol.3,No.4, 1(1), 44–53.
Mutawali, 2024. Fikih Muamalah. Tangerang Selatan: Unpam Press. isbn 978-623-8447-749
Nugrahanti, T. P., Puspitasari, N., & Andaningsih, I. R. (2023). Transformasi Praktik Akuntansi Melalui Teknologi: Peran Kecerdasan Buatan, Analisis Data, dan Blockchain dalam Otomatisasi Proses Akuntansi. Jurnal Akuntansi Dan Keuangan West Science, 2(03), 213–221. https://doi.org/10.58812/jakws.v2i03.644
Pasyarani, L. (2023). Revitalisasi Akuntansi dengan Penerapan Kecerdasan Buatan (Artificial Intelligence). Jurnal Ilmu Data, 3(2), 1–14.
Pratiwi, A. A., Hakim, N. R., & Putri, H. N. (2023). Hubungan Akuntansi Syariah Dengan Perkembangan Keuangan Syariah Di Era Digital. Religion: Jurnal Agama, Sosial, Dan Budaya, 1(6), 1105–1116.
San-Jose, Leire, & Cuesta, J. (2019). “Are Islamic banks different? The application of the Radical Affinity Index.” International Journal of Islamic and Middle Eastern Finance and Management 12.1.
Supriadi, I., Tinggi, S., & Ekonomi, I. (2024). BALANCE : JOURNAL OF ISLAMIC ACCOUNTING TRANSFORMATION OF SHARIA ACCOUNTING INNOVATION : CHALLENGES AND OPPORTUNITIES IN TRANSFORMATION OF SHARIA ACCOUNTING INNOVATION : CHALLENGES AND OPPORTUNITIES IN. February.
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