Pengaruh Penerapan Artificial Intelligence (AI) terhadap Akurasi dan Kecepatan dalam Membuat Laporan Keuangan (Studi pada Mahasiswa Akuntansi ITB Nobel Indonesia)
DOI:
https://doi.org/10.37476/malomo.v3i3.5352Keywords:
Artificial Intelligence, Akurasi, Kecepatan, laporan keuangan, Mahasiswa AkuntansiAbstract
Penelitian ini bertujuan untuk menguji pengaruh penerapan Artificial Intelligence (AI) terhadap akurasi dan kecepatan dalam penyusunan laporan keuangan oleh mahasiswa akuntansi ITB Nobel Indonesia. Pendekatan yang digunakan dalam penelitian ini adalah kuantitatif eksplanatori, dengan responden sebanyak 150 mahasiswa yang dipilih secara acak dari populasi sebanyak 236 orang. Pengumpulan data dilakukan melalui kuesioner daring, dan data dianalisis dengan uji validitas, reliabilitas, asumsi klasik, uji t, uji F, dan regresi linear sederhana menggunakan SPSS versi 26. Hasil penelitian menunjukkan bahwa AI memiliki pengaruh positif dan signifikan terhadap kedua variabel dependen. Koefisien determinasi menunjukkan bahwa AI menjelaskan 28% variasi akurasi dan 37,4% variasi kecepatan dalam pelaporan keuangan. Temuan ini memperkuat validitas model Technology Acceptance Model (TAM), khususnya konstruk Perceived Usefulness dan Perceived Ease of Use. Penelitian ini memberikan kontribusi teoretis terhadap adopsi teknologi dalam pendidikan akuntansi, serta implikasi praktis dalam pengembangan kurikulum berbasis teknologi yang responsif terhadap transformasi digital dalam dunia pendidikan tinggi.
References
Abdullah, M. A., & Almaqtari, F. A. (2024). Artificial intelligence adoption in financial reporting: Evidence from industrial firms. Future Business Journal, 10(1), 15–27. https://www.sciencedirect.com/science/article/pii/S219985312400012X
Al-Okaily, M. (2025). Students’ perceptions of ChatGPT’s role in accounting education: An extended TAM approach. Education and Information Technologies. https://link.springer.com/article/10.1007/s10639-025-13391-1
Alhazmi, A., Alqaralleh, B., & Al-Debei, M. M. (2025). Factors influencing accounting students’ behavioral intention to use AI-based technologies. Journal of Risk and Financial Management, 13(1), 21–36. https://www.mdpi.com/2227-7072/13/1/21
Alshdaifat, A., Alazzam, Z. M., & Alkhatib, K. (2025). Impact of AI on accounting performance: A longitudinal study. Research Square. https://www.researchsquare.com/article/rs-6435868/latest
Anh, N. T., Phuong, L. T., & Tu, V. D. (2024). Vietnamese students' readiness for adopting AI in accounting education. Journal of Risk and Financial Management, 17(1), 27. https://www.mdpi.com/1911-8074/17/1/27
Bin-Nashwan, S. A., Abdulrab, M., & Al-Hamadi, M. (2025). Digital transformation and AI in financial services: A PLS-SEM analysis. Financial Innovation, 11(2), 43–58. https://www.sciencedirect.com/science/article/pii/S2451958824002057
Borhani, A., Zarei, F., & Mahmoudi, M. (2021). Impact of artificial intelligence on audit and accounting: An Iranian perspective. Iranian Journal of Financial Management and Accounting, 5(2), 67–88. http://www.ijfma.ir/article_17481.html
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications. https://www.researchgate.net/publication/330760964
Damerji, H., & Salimi, M. (2021). A review of the acceptance of artificial intelligence in accounting and auditing. Accounting Education, 30(6), 638–663. https://www.tandfonline.com/doi/abs/10.1080/09639284.2021.1872035
Etikan, I., & Bala, K. (2017). Sampling and sampling methods. Biometrics & Biostatistics International Journal, 5(6), 00149. https://journals.scholarpublishing.org/index.php/ASSRJ/article/view/3269
Jyashree, K. (2024). Organizational readiness and cultural barriers to AI adoption in accounting firms. International Journal of Innovation, Creativity and Change, 20(4), 151–164. https://search.proquest.com/openview/6148965c278a6a335b057503689e692a
Krishnanraw, A., & Ismail, R. (2025). Exploring student readiness for AI-based accounting tools: A Malaysian case. Research Journal of Business and Management, 22(1), 44–58. https://ir.uitm.edu.my/id/eprint/113596/1/113596.pdf
Mustafa, H. M., & Kharuddin, K. A. M. (2025). AI adoption in accounting education: A UTAUT-based analysis of mediating and moderating mechanisms. International Journal of Organizational Performance Review, 9(1), 17–33. https://www.ijopr.com/article/ai-adoption-in-accounting-education-a-utaut-based-analysis-of-mediating-and-moderating-mechanisms-15933
Nguyen, H. T., Pham, Q. T., & Le, M. D. (2025). Technology readiness and AI adoption in higher education: A longitudinal study. Journal of Asian Business and Economic Studies, 32(1), 1–19. https://www.emerald.com/insight/content/doi/10.1108/JABES-06-2024-0300/full/html
Pallant, J. (2020). SPSS survival manual: A step by step guide to data analysis using IBM SPSS (7th ed.). McGraw-Hill Education. https://www.researchgate.net/publication/330760950
Sabah, N. M., Wahyuni, D., & Mulyana, A. (2022). The impact of AI implementation on accounting students' performance in financial reporting. International Journal of Economics, Business and Management Research, 6(11), 24–37. https://mail.aipublications.com/uploads/issue_files/3IJEBM-NOV20224-Theimpactof.pdf
Saunders, M., Lewis, P., & Thornhill, A. (2019). Research methods for business students (8th ed.). Pearson Education. https://www.researchgate.net/publication/330760924
Subačienė, R., & Tamulevičienė, D. (2024). Accounting education in the digital era: Theory and practice. Lithuanian University of Health Sciences Press. https://books.google.com/books?hl=en&id=jrtIEQAAQBAJ
Taherdoost, H. (2019). What is the best response scale for survey and questionnaire design? Review of different lengths of rating scale / attitude scale / Likert scale. International Journal of Academic Research in Management, 8(1), 1–10. https://www.sciencedirect.com/science/article/pii/S1877050919303953
Vărzaru, M. (2022). Artificial intelligence and accounting: Challenges and opportunities for sustainable development. Electronics, 11(14), 2256. https://www.mdpi.com/2079-9292/11/14/2256/pdf
Zikmund, W. G., Babin, B. J., Carr, J. C., & Griffin, M. (2021). Business research methods (9th ed.). Cengage Learning. https://www.researchgate.net/publication/330760958