LITERATURE REVIEW: IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE (AI) IN PERFORMANCE SYSTEMS ASSESSMENT TO IMPROVE THE EFFICIENCY OF ORGANIZATIONAL DECISION-MAKING
Keywords:
Artificial Intelligence, Information System Management, Digital Transformation, Decision Making, Performance AssessmentAbstract
Literature review this aim analyze the implementation of Artificial Intelligence (AI) in System Information Management (SIM) and systems evaluation performance to increase efficiency taking decision organization. The method used is a Systematic Literature Review (SLR) with the PRISMA approach based on various literature discussing Artificial Intelligence, Systems Information Management, and System Evaluation Performance. The review results show that the implementation of AI, particularly machine learning, natural language processing (NLP), and deep learning, has resulted in a significant increase in accuracy evaluation performance up to 87.3% compared to conventional methods. Besides that, I found that AI integration in system information evaluation performance can reduce cognitive bias in evaluation, automating the process of collecting and analyzing performance data, and give recommendation taking decision in real-time. Research This proposes an implementation framework for AI-SIPK (Artificial Intelligence – System) Information comprehensive Performance Assessment as a guide for organizations in adopting AI technology for improving efficiency taking decision.
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References
Adelia Khirani Lubis. (2024). Intelligence Integration Artificial Intelligence System Information Management For Strategic Decision Making. Journal of Academic Economics and Management, 1 (4), 35–42.
Amien, M. (2023). History and Development of Natural Language Processing (NLP) Techniques in Indonesian: A Review of the history, development, technology, and applications of NLP in Indonesian. ( 2007 ), 1–7. http://arxiv.org/abs/2304.02746
Andriani, W. (2022a). Use of the Method Systematic Literature Review in the Study of Knowledge Sociology. Journal of PTK and Education, 7 (2). https://doi.org/10.18592/ptk.v7i2.5632
Artigues , R. A., Landín , S. M., & Martínez, A. F. (2026). A Generative AI Pipeline for Sustainable Product Design in Additive Manufacturing Applications. Frontiers in Artificial Intelligence and Applications, 420 (Sector 2), 182–190. https://doi.org/10.3233/FAIA260026
Arulmozhiselvan , L., Uma, E., & Jayasri , R. (2021). COVID-19: Role of deep learning and cloud through identification of the kidney, pancreas, and intestine. Advances in Parallel Computing, 39, 96–104. https://doi.org/10.3233/APC210128
Basu , S. (2024). Management information system (MIS). Plant Intelligent Automation and Digital Transformation Volume II: MIS and HW-SW Implementation, 397–415. https://doi.org/10.1016/B978-0-12-824457-9.00018-2
Bocklisch , F. , & Lampke , T. (2024). Human- CoMo: A Combination of Cognitive Knowledge Engineering and Data Modeling for Human-Cyber-Physical Systems in Intelligent Manufacturing. Journal of Integrated Design and Process Science, 27 (3-4 Cyber-Physical-Social-Human Systems), 169–183. https://doi.org/10.1177/10920617241295887
Cemoglu , DAA, & Estrepo , P.A.R. (2022). Tasks, automation, and the rise in US wage inequality. Econometrica , 90 (5), 1973–2016.
Chadi Mursid, M., Astuti, RT, & Mursid, MC (2025). Management information systems: Characteristics, applications, and future technological developments. International Journal of Informatics, Economics, Management and Science, 4 (2), 97–113. https://doi.org/10.52362/ijiems.v4i2.1918
Choi, Y. (2020). A study of employee acceptance of artificial intelligence technology. European Journal of Management and Business Economics, 30 (3), 318–330. https://doi.org/10.1108/EJMBE-06-2020-0158
Cohen, M. C., & Sokol, D. D. (2025). The Impact of AI on Competition Across Business Functions. Management and Business Review, 5 (4), 7–14. https://doi.org/10.1177/2694104x251404731
Dwianto, A., Kusuma, S., & Junengsih. (2024). Artificial Intelligence in Performance Evaluation (Case Study of PT. Pos Indonesia Employees). Bit -Tech, 7 (2), 348–356. https://doi.org/10.32877/bt.v7i2.1817
Fadillah, N. (2024). Implementation System Information Management Based on Open Source Senayan Library Management System (SLIMS) ( Asahan University Library Study ). Journal Study Multidisciplinary Nation, 1 (6), 544–550. https://ejournal.amirulbangunbangsapublishing.com/index.php/jpnmb/index
Helmi Azizati Manel, Widya Sania, Nurul Fadhillah, AM (2023). Implementation of Artificial Intelligence in Systems. Journal Accountancy Business and Economics, 9, 3460–3467.
Huang, Z., & Gao, M. (2025). Design and Implementation of an Adaptive Control System Based on Deep Learning. Advances in Engineering Technology Research, 14 (1), 1766. https://doi.org/10.56028/aetr.14.1.1766.2025
Irvanto , D., Almaarif , Prasetyo , A., Ahmad, F., Dewantoro , B., Ihsan, I., & Ikasari , IH (2024). The Use of Artificial Intelligence in System Information Management to Increase Business Efficiency. JRIIN: Journal Research Informatics and Innovation, 2 (5), 806–809. https://jurnalmahasiswa.com/index.php/jriin/article/view/1505
Islam, U., Sumatera, N., Masyarakat, FK, Ilmu , P., Masyarakat, K., Islam, U., & Sumatera, N. (2024). Systematic Literature Review Methods For . 2 (6), 380–387.
Jumaah , T.M., Ahmed, D., Ridha , A., Abdulridha , I.A., & Aljumaili , H.N. (2026). Integrating AI and Management Accounting to Improve.
Khojin, N., & Syaifulloh, M. (2025). Innovation Performance Management through Use of Artificial Intelligence in Evaluating Employees. RIGGS: Journal of Artificial Intelligence and Digital Business, 4 (2), 309–317. https://doi.org/10.31004/riggs.v4i2.476
Leong, W.Y. (2026). AI-Driven Predictive Safety Analytics for Accident Prevention in Smart Manufacturing. Advances in Transdisciplinary Engineering, 91 ( i ), 11–20. https://doi.org/10.3233/ATDE260184
Luozzo , S. Di, Starnoni , F., & Schiraldi, M. M. (2023). On the relationship between human factors and overall equipment effectiveness (OEE): An analysis through the adoption of the analytic hierarchy process and ISO 22400. International Journal of Engineering Business Management, 15, 1–13. https://doi.org/10.1177/18479790231188548
Nora, HF, Marsithah, I., Fatmi, Z., & Hajar, I. (2024). Studies Case Implementation System Information Management For Increase Quality Learning at SMP Negeri 19 Takengon. Tambusai Education Journal, 8, 41558–41564.
Nosratabadi , S., Zahed , R.K., Ponkratov , V.V., & Kostyrin , E.V. (2022). Artificial Intelligence Models and Employee Lifecycle Management: A Systematic Literature Review. Organizacija , 55 (3), 181–198. https://doi.org/10.2478/orga-2022-0012
Nuro, DA, & Harianto, K. (2025). Transformation of Reward Systems to Enhance Employee Engagement in the Digital Platform Work Environment: A Literature Review. JBMP ( Journal Business, Management and Banking ), 11 (2), 273–285. https://doi.org/10.21070/jbmp.v11i2.2184
Omoloja, Y.O., Ogunwa, T., & Marian, R.M. (2026). A Critical Analysis and Roadmap for the Development and Implementation of Predictive Maintenance Digital Twins.
Pelova, B., & Hristova, G. (2025). ML-Based AI Conceptual Framework for Assessing SMEs Digitalization Through the Lens of Sentiment Analysis. Frontiers in Artificial Intelligence and Applications, 403, 24–38. https://doi.org/10.3233/FAIA250005
Rajagukguk , YS, Manalu , DR, Science , M., Faculty , M., Indonesia, UM, Science , M., Faculty , M., & Indonesia, UM (2026). IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE ( AI ) IN . 4 (2), 1331–1339.
Rimar, M., Fedak, M., Corny, I., Kulikov, A., Kuna, S., Kulikova, O., & Vahovsky, J. (2019). Pulse width modulation modeling for efficient pneumatic artificial muscle control. Advances in Mechanical Engineering, 11 (12), 1–15. https://doi.org/10.1177/1687814019895439
Riswanto, A., & Rachmadi, RE (2023). Artificial Intelligence In System Information Management and Sustainable Performance. Journal Lantern Business, 12 (1), 124. https://doi.org/10.34127/jrlab.v12i1.754
Seth, S., & Saputra, R. (2023). The Influence of Information Systems and Artificial Intelligence (AI) on Human Resource Performance. 1 (4), 521–529.
Triono, TA, & Wijaya, EFA (2025). Intelligent Artificial in Human Resource Management: Opportunities, Ethics, and the Future. Journal of Society Bridge, 3 (2), 84–94. https://doi.org/10.59012/jsb.v3i2.82
Usman, R., Ibrahim, AI, Kamerili, Y., Sucakni, RI, Andriani, N., & Basalamah, MF (2026). Total Implementation of Management Information Systems on Organizational Performance Improvement . 8 (1). https://doi.org/10.56338/ijhess.v8i1.9977
Wang, H., & Zhang, L. (2021). AI-enhanced performance evaluation in banking: Evidence from cross-branch consistency analysis. Journal of Financial Services Research, 59(3), 287-315
Wang, X., Cao, H., Yang, J., & Zeng, Y. (2025). Effective KPI development using environment-based design (EBD) methodology: A case study of airline KPI system. Journal of Integrated Design and Process Science, 28 (1), 42–52. https://doi.org/10.1177/10920617241289750
Wassélius , J., Hall, E., Szolics , A., Arnberg , F., Radhi, H., von Euler, M., Wester, P., Ullberg , T., Cronberg , T., Ennab Vogel, N., Esbjörnsson , M., Jonsson, F., Andersson, T., Norrving , B., & Hansen, B.M. (2025). Large regional variation in endovascular thrombectomy rates for acute ischemic stroke in Sweden. European Stroke Journal, 10 (4), 1320–1327. https://doi.org/10.1177/23969873251347098
Wiriko , IP, & Firdaus, R. (2025). Strategy for Implementing Management Information. JICN: Jurnal Intellectuals and Scholars of the Archipelago, 2 (3), 4107–4116.
Yu, Y., Zhang, M., Li, X., Zhang, Q., & Zhang, Y. (2026). Construction of TASQ Model for Quality Evaluation of SCM Talents Under the Background of AI. 0 . https://doi.org/10.3233/atde251606
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