Artificial Intelligence In The Big Data Era And Digital Audit
DOI:
https://doi.org/10.30640/inisiatif.v2i2.714Keywords:
Artificial Intelligence, Big Data, Digital Audit.Abstract
The technology industry has entered the 4.0 era, also known as the Artificial Intelligence (AI) era, which has greatly affected various aspects of human life, particularly with the advancement and growth of big data. The integration of AI in our daily lives, including accounting, has made work more efficient, but also brought both positive and negative impacts. The accounting industry is moving towards the digital audit era, which has transformed the perspective of auditors by digitizing their work and making it easier to access and analyze data. This study aims to investigate the impact of AI development on big data and digital audit, the implications of the gap between big data technology and AI and digital audit, as well as the improvement of auditor's work quality and efficiency due to AI and big data technology. The study utilized both quantitative and qualitative research methods, and concludes that the development of Artificial Intelligence has a significant impact on the work of auditors. However, the study acknowledges its limitations, such as the restricted sample size and time constraints which limited the data analysis to multiple linear regression analysis.
References
Ahmad, A. (2017). Mengenal Artificial Intelligence, Machine Learning, Neural Network, dan Deep Learning. Jurnal Teknologi Indonesia, 1-6.
Ali, I. (2015). Big Data: Apa dan pengaruhnya pada perpustakaan? Pustakawan Media, 22, 19 - 25.
Arens, A., Elder , R., Beasley , M., & Hogan, C. (2017). Auditing and Assurance Services: An Integrated Approach (Sixteenth Edition). Boston: Pearson.
Baldwin, A. A., Brown, C. E., & Trinkle, B. A. (2006). Opportunities For Artificial Intelligence Development In The Accounting Domain: The Case For Auditing. Intelligent System In Accounting, Finance And Management AI Development Opportunities In Accounting, 77-86.
Bizarro, P., & Dorian, M. (2017). Artificial Intelligence: The Future of Auditing. International Auditing, 5, 21-26.
Brown, C. E., & Murphy, D. S. (1990). The Use of Auditing Expert Systems in Public Accounting. Retrieved from https://www.researchgate.net/profile/David-Murphy64/publication/286784718_The_use_of_auditing_expert_systems_in_public_accounting/links/56d0504a08ae4d8d64a37555/The-use-of-auditing-expert-systemsin-public-accounting.pdf
Chukwuani, V., & Egiyi, D. (2020). Automation of Accounting Processes: Impact of Artificial Intelligence. International Journal of Research and Innovation in Social Science (IJRISS), IV(VIII), 444 -449.
Deloitte. (2018). 16 Artificial Intelligence Projects from Deloitte Practical Cases of Applied AI. Retrieved from https://www2.deloitte.com/content/dam/Deloitte/nl/Documents/inn
ovatie/deloitte-nl-i nnovatie-artificial-intelligence-16-practical-cases.pdf
Fajriatinovy. (2017). Course Hero. Retrieved from https://www.coursehero.com/file/63869913/BIG-DATAdocx/
Hasan, A. (2022, Jan 29). Artificial Intelligence (AI) in Accounting & Auditing: A Literature Review. Scientific Research Publishing, 10, 440-465.
IT, G. (2022). Information Technology Glossary: Big Data. Retrieved from https://www.gartner.com/en/information-technology/glossary/big-data
ITTA. (2021, August 18). Retrieved from https://accurate.id/teknologi/teknologi-informasi/
ITTA. (n.d.). Accurate. Retrieved from https://accurate.id/teknologi/teknologi-informasi/
Jaya, D., Sabran, Idris, D., Djawad, D., Ilham, A., & Ahmar, A. (2018). Kecerdasan Buatan. In Kecerdasan Buatan (pp. 01 - 17). Makassar: Fakultas MIPA Universitas Negeri Makkasar.
Kokina, J., & Davenport, T. H. (2017). The emergence of Artificial Intelligence: how Automation Is Changing Auditing. Journal of Emerging Techologies in Accounting, 14, 115-112.
Maryanto, B. (2017). Big data dan pemanfaatannya dalam berbagai sektor. 16(2), 14-19.
Mohammad, S., Hamad, A., Borgi, H., Thu, P., Sial, M., & Alhadidi, A. (2020). How Artificial Intelligence Changes the Future of Accounting Industry. International Journal of Economics and Business Administration, VIII (3), 478-488.
Oktriwina, A. S. (2021, January 25). Kapan Simple Random Sampling Baik Digunakan dalam Riset Pasar? Retrieved from https://glints.com/id/lowongan/simplerandom-sampling-adalah/#.Yjn-1ppBxQI
Oracle. (2020). Top 22 Use Cases for Big data.
Preddy, J. (2021). Digital Marketing - Study Notes. Retrieved from https://digitalmarketinginstitute.com/resources/lessons/digital-marketingstrategy_digit
PWC. (2017). Spotlight: Robotic Process Automation (RPA) What Tax Needs to Know Now. Retrieved from https://www.pwc.com/gx/en/tax/publications/assets/pwc-tax-function-of-the-future-focus-on-today-robotics-process-automation.pdf
Rezaee, Z., Elam, R., & Sharbatoghlie, A. (2001). Continuous Auditing: The Audit of the future. In Managerial Auditing Journal, 150-158.
Riantono, I. E. (2021). Artificial Intelligence dan big data dalam bidang internal audit. Retrieved from https://accounting.binus.ac.id/2021/11/25/artificialintelligence-and-big-data-dalam-bidang-internal-audit-part-1/
Shabbir, J., & Anwer, T. (2018, April). Retrieved from https://www.researchgate.net/publication/324218971_Artificial_Intelligence_and_its_Role_in_Near_Future
Spaggiari, F. (2020). Expert System Releases expert.ai Natural Language API. PR Newswire.
Sugiyono, P. (2013). Metode Penelitian Kuantitatif, Kualitatif, dan R&D (Vol. 19). Alfabeta.
Sun, T., & Alles, M. (2015). Adopting Continous Auditing A Cross Sectional Comparison between China and The United States. Manajerial Auditing Journal, 30(2), 176-206.
W Ayu, A. (2018). Artificial Intelligence dalam Audit: Menguntungkan atau merugikan? Retrieved from https://www.jtanzilco.com/blog/detail/988/slug/artificial-intelligence-dalamaudit-menguntungkan-atau-merugikan
Zhang, J., Yang, X., & Appelbaum, D. (2015). Toward Effective Big Data Analysis in Continuous Auditing. American Accounting Association, 29(2), 469-476.
