PENGEMBANGAN SISTEM PENILAIAN KINERJA BERBASIS KECERDASAN BUATAN

Sopardo Marbun; Haris Abu Bakar Sidik; Wawan Oktriawan; Okto Kurnia

doi:10.64626/jukomtek.v5i1.488

Penulis

Sopardo Marbun STMIK Pamitran
Haris Abu Bakar Sidik STMIK PAMITRAN
Wawan Oktriawan STAI Dr KH. EZ. Muttaqien
Okto Kurnia Universitas Mitra Bangsa

DOI:

https://doi.org/10.64626/jukomtek.v5i1.488

Kata Kunci:

Performance Appraisal, Artificial Intelligence, System Development, Assessment

Abstrak

These days, the creation of AI-Based Performance Appraisal Systems combines the use of more sophisticated data science with best practices in performance management. This method is therefore broken down into a number of important approaches. In general, the approach entails creating a hybrid system that prioritizes human oversight and prudent managerial decision-making while automating data collection and improving the objectivity of AI-assisted analysis. In order to move away from discrete and subjective evaluation techniques and toward a more effective, flexible, and data-driven performance management system—where each choice is supported by extensive supporting data—AI-based performance appraisal systems are being developed.

Referensi

Aguinis, H.(2019). Performance Management (4th ed.). Pearson Education.

Cheng, M. M., Hackett, R. D., & Gupta, V.(2021).Artificial intelligence in performance management: A systematic review and future research agenda. Human Resource Management Review, 31(2), 100790

Chen, L., & Cheng, J.(2022).Multi-source performance data analytics: A framework for continuous employee evaluation. International Journal of Human Resource Management, 33(5), 987-1012

Cappelli, P., Tambe, P., & Yakubovich, V.(2020).Artificial intelligence in human resources management: Challenges and a path forward. California Management Review, 61(4), 15-42.

Friscila, A.S.(2024).Strategi Manajemen Sumber Daya Manusia: Meningkatkan Kinerja dan Produktivitas Organisasi. Jakarta: Media Penerbit Indonesia.

Hendrawan, A. & Yuningsih, N.(2020). Manajemen Sumber Daya Manusia (Teori, Konsep, dan Indikator). Bandung: Alfabeta

Sedarmayanti.(2017).Perencanaan dan Pengembangan SDM untuk Meningkatkan Kompetensi, Kinerja dan Produktivitas Kerja. Bandung: Refika Aditama.

Septi, Nurcahyani, dkk.(2025). Peran Teknologi Artificial Intelligence dalam Pengembangan Sumber Daya Manusia.Prosiding Seminar Nasional Manajemen.Jakarta.Jurnal Universitas Pamulang

Johnson, S. K., Garrison, L. L., & Broome, G. H. (2021). Reducing in performance evaluation: A field study of AI-augmented review processes. Academy of Management Journal, 64(3), 783-815

Khojin, N., & Syaifullloh, M.(2025).Inovasi Manajemen Kinerja melalui Penggunaan Artificial Intelligence dalam Penilaian Karyawan. Jurnal Kecerdasan Buatan dan Bisnis Digital (RIGGS), 4(2).

Lee, C. H., & Wong, K. Y.(2022).Predictive analytics for employee turnover: A machine learning approach. Expert Systems with Applications, 189, 116122.

Malik, N., Tripathi, S. N., & Sharma, S.(2020).Algorithmic transparency in HR analytics: Ethical considerations and employee trust. International Journal of Human Resource Studies, 10(2), 135-154.

Morgan, R., & Bergman, M.(2020).The business impact of AI in performance management: A multi-industry analysis. Journal of Business Research, 118, 123-137.

Pratama, A. S., et al.(2023).Pengaruh Artificial Intelligence, Big Data Dan Otomatisasi Terhadap Kinerja SDM Di Era Digital. Jurnal Publikasi Ilmu Manajemen (JUPIMAN), 2(4), 108–123.

Tambe, P., Cappelli, P., & Yakubovich, V.(2019).Artificial intelligence in human resources management: Challenges and a path forward. California Management Review, 61(4), 15-42