Published February 20, 2024 | Version v1

A Fuzzy Expert System for Talent Pool Management in Indonesia

Description

Addressing the VUCA (Volatility, Uncertainty, Complexity, and Ambiguity) situation, one of the company's strategies is to design a talent management strategy program to identify talent needs based on the company's vision, mission, strategy, and values. Talent is the knowledge and abilities possessed by a person relevant to the company's needs, supporting the company's goals and strategies. The company has a system that designs and manages the talents of its employees to acquire and retain their employees, namely talent management (TM). Talent management is an organizational scheme that systematically guides, directs, and guides in obtaining, developing, and retaining employees with talent or talents to achieve organizational goals. Therefore, this study aims to assist companies in making it easier to identify employees based on a 3x3 talent mapping matrix based on AI (Artificial Intelligence) in the E-Fillment Division, making it easier for companies to determine the right development program for these employees

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Additional details

Related works

Is compiled by
10.59890/ijma.v1i2.73 (DOI)

Dates

Accepted
2023-07-24

References

  • Ahram, T. Z. (2019). Advances in Artificial Intelligence, Software and Systems Engineering. In Joint Proceedings of the AHFE 2018 International Conference on Human Factors in Artificial Intelligence and Social Computing, Software and Systems Engineering, The Human Side of Service Engineering and Human Factors in Energy, July 21–25, 2018, Loews Sapp (Vol. 787). Springer International Publishing AG. https://doi.org/10.1007/978-3-319-94229-2_44
  • Azmi, S. N., Sulistyo, B., Widyastuti, L., F., S. N. A., Sulistyo, B., & Widyastuti, L. (2016). Identifikasi Kriteria Talenta Dari Key Positions Level Kepala Bagian Menggunakan Metode Human Asset Value Matrix Di Pt X. EProceedings of Engineering, 3(2), 2331–2338. http://libraryeproceeding.telkomuniversity.ac.id/index.php/engineering/article/view/885
  • Hamid, A. P., Al-Hakim, R. R., Arief, Y. Z., Dionova, B. W., & Alrahman, M. H. A. (2023). Recent Updates on Intelligent System for Talent Management: Does That Become a Helpful System? SATESI: Jurnal Sains Teknologi Dan Sistem Informasi, 3(1), 44–50. https://doi.org/`
  • Hamid, A. P., Al Hakim, R. R., Sungkowo, A., Trikolas, T., Purnawan, H., & Jaenul, A. (2021). Talent Management Employee Development by Using Certainty Factor Method of Expert System. ARRUS Journal of Engineering and Technology, 1(1), 33–39. https://doi.org/10.35877/jetech568
  • Liu, S., Li, G., & Xia, H. (2021). Analysis of Talent Management in the Artificial Intelligence Era. Proceedings of the 5th Asia-Pacific Conference on Economic Research and Management Innovation (ERMI 2021), 167, 38–42. https://doi.org/10.2991/AEBMR.K.210218.007