Artificial Intelligence and Automation in Office Administrative Procedures: A Systematic Literature Review
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Pemanfaatan AI ke dalam proses administrasi kantor merupakan terobosan teknologi besar yang menjanjikan untuk mengubah cara kerja, meningkatkan kecepatan penyampaian layanan, dan mendefinisikan ulang peran yang dimainkan oleh keterampilan manusia di tempat kerja saat ini. Penelitian bertujuan untuk melakukan studi literature yang ekstensif terhadap artikel yang ada yang berkaitan dengan penggunaan artificial intelligence pada prosedur di lingkungan administrasi kantor. Metode review pada penelitian ini menggunakan pendekatan sistematis, dengan mengimplementasi metode PRISMA. Sintesa dan analiska dilakukan terhadap total 155 publikasi yang bersumber dari database Scopus pada tahun 2019-2024. Setelah proses sintesis, maka 18 artikel publikasi terpilih untuk ditinjau. Hasil yang didapatkan adalah implementasi artificial intelligence dilingkungan administrasi perkantoran adalah dapat mengotomasi rutinitas, mendukung keputusan dalam hal administrasi dan proses otomatis dokumen kantor dengan tulisan tangan.
Kata Kunci: Otomasi; Artificial Intelligence; Prosedur Administrasi Perkantoran
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Acemoglu, D., & Restrepo, P. (2019). The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand. https://doi.org/10.3386/w25682
Al-Mushayt, O. S. (2019). Automating E-Government Services With Artificial Intelligence. IEEE Access, 7, 146821–146829. https://doi.org/10.1109/ACCESS.2019.2946204
Benzaid, C., & Taleb, T. (2020). AI-Driven Zero Touch Network and Service Management in 5G and Beyond: Challenges and Research Directions. IEEE Network, 34(2), 186–194. https://doi.org/10.1109/MNET.001.1900252
Bonomi Savignon, A., Zecchinelli, R., Costumato, L., & Scalabrini, F. (2024). Automation in public sector jobs and services: a framework to analyze public digital transformation’s impact in a data-constrained environment. Transforming Government: People, Process and Policy, 18(1), 49–70. https://doi.org/10.1108/TG-04-2023-0044
Braganza, A., Chen, W., Canhoto, A., & Sap, S. (2022). Gigification, job engagement and satisfaction: the moderating role of AI enabled system automation in operations management. Production Planning & Control, 33(16), 1534–1547. https://doi.org/10.1080/09537287.2021.1882692
Cui, R., Li, M., & Zhang, S. (2020). AI and Procurement. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3570967
Davies, G. (2023). Use of artificial intelligence in government. https://www.nao.org.uk/wp-content/uploads/2024/03/use-of-artificial-intelligence-in-government.pdf
Fejes, E., & Futó, I. (2021). Artificial Intelligence in Public Administration – Supporting Administrative Decisions. Pénzügyi Szemle = Public Finance Quarterly, 66(Special edition 2021/1), 23–51. https://doi.org/10.35551/PFQ_2021_s_1_2
Fukumura, Y. E., Gray, J. M., Lucas, G. M., Becerik-Gerber, B., & Roll, S. C. (2021). Worker Perspectives on Incorporating Artificial Intelligence into Office Workspaces: Implications for the Future of Office Work. International Journal of Environmental Research and Public Health, 18(4), 1690. https://doi.org/10.3390/ijerph18041690
Gružauskas, V., & Ragavan, D. (2020). Robotic Process Automation for Documents Processing: A Case Study of a Logistics Service Provider. Journal of Management, Vol. 36(No. 2), 119–126. https://doi.org/10.38104/vadyba.2020.2.16
Javaid, M., Haleem, A., Singh, R. P., & Suman, R. (2022). Artificial Intelligence Applications for Industry 4.0: A Literature-Based Study. Journal of Industrial Integration and Management, 07(01), 83–111. https://doi.org/10.1142/S2424862221300040
Leyer, M., & Schneider, S. (2021). Decision augmentation and automation with artificial intelligence: Threat or opportunity for managers? Business Horizons, 64(5), 711–724. https://doi.org/10.1016/j.bushor.2021.02.026
López Jiménez, E. A., & Ouariachi, T. (2021). An exploration of the impact of artificial intelligence (AI) and automation for communication professionals. Journal of Information, Communication and Ethics in Society, 19(2), 249–267. https://doi.org/10.1108/JICES-03-2020-0034
Overgoor, G., Chica, M., Rand, W., & Weishampel, A. (2019). Letting the Computers Take Over: Using AI to Solve Marketing Problems. California Management Review, 61(4), 156–185. https://doi.org/10.1177/0008125619859318
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. In The BMJ (Vol. 372). https://doi.org/10.1136/bmj.n71
Pan, Y., & Zhang, L. (2021). Roles of artificial intelligence in construction engineering and management: A critical review and future trends. Automation in Construction, 122, 103517. https://doi.org/10.1016/j.autcon.2020.103517
Tyson, L. D., & Zysman, J. (2022). Automation, AI & Work. Daedalus, 151(2), 256–271. https://doi.org/10.1162/daed_a_01914
Walsh, K., & Government Accountability Office (GAO). (2022). Artificial Intelligence: Agencies Have Begun Implementation but Need to Complete Key Requirements. https://www.gao.gov/assets/d24105980.pdf
Williamson, S., & Vijayakumar, K. (2021). Artificial intelligence techniques for industrial automation and smart systems. Concurrent Engineering, 29(3), 291–292. https://doi.org/10.1177/1063293X211026275
Xiao, Y., Chen, Y., Tang, Y., & Jung, H. (2022). Design and Implementation of Office Automation System Based on Internet of Things Technology. Wireless Communications and Mobile Computing, 2022, 1–8. https://doi.org/10.1155/2022/5196542
Zhang, A. (Chanyuan). (2019). Intelligent Process Automation in Audit. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3448091
DOI: https://doi.org/10.37531/yum.v7i2.6637
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