Pendekatan Modern dalam Performance Apraisal: Sebuah Tinjauan Sistematis atas Model dan Metode Penilaian Kinerja

Authors

  • Panji Hartono Universitas Paramadina, Jakarta, Indonesia
  • Noorchalim Amar Universitas Paramadina, Jakarta, Indonesia

DOI:

https://doi.org/10.38035/jemsi.v7i2.7209

Keywords:

Performance Appraisal Modern, HR Analytics, Artificial Intelligence, Continuous Feedback, Systematic Literature Review, Performance Management 4.0

Abstract

Tujuan dari penelitian ini adalah untuk menemukan, mengevaluasi, dan mensintesis berbagai model dan teknik penilaian kinerja kontemporer yang telah berkembang selama lima tahun terakhir (2020–2025). Penelitian ini menganalisis sepuluh artikel ilmiah internasional dari jurnal berkualitas tinggi dari Scopus dan Web of Science dari Q1 hingga Q2. Metode Sistematic Literature Review (SLR), yang didasarkan pada pedoman PRISMA, digunakan. Proses seleksi dilakukan dalam empat tahap: identifikasi, penyaringan, penentuan kelayakan, dan inklusi. Hasil penelitian menunjukkan bahwa paradigma penilaian kinerja telah berubah dari model administratif konvensional ke sistem yang bergantung pada teknologi, data, dan pembelajaran berkelanjutan. Tiga dimensi utama yang mendominasi pendekatan kontemporer adalah sebagai berikut: (1) digitalisasi dan integrasi teknologi melalui penggunaan analitik HR dan AI untuk meningkatkan objektivitas; (2) fokus pada pengembangan kompetensi dan perilaku melalui model hibrid yang menggabungkan penilaian kuantitatif dan kualitatif; dan (3) sistem umpan balik berkelanjutan (continuous feedback) yang menggantikan penilaian tahunan dengan evaluasi real-time dan kolaboratif. Secara teoretis, temuan penelitian ini mendukung gagasan Performance Management 4.0, yang menggunakan penilaian kinerja sebagai alat strategis untuk belajar tentang organisasi dan membuat keputusan berdasarkan bukti. Secara praktis, penelitian ini mengusulkan pembuatan sistem penilaian yang fleksibel, moral, dan berpusat pada manusia yang menyeimbangkan kebijaksanaan manusia dan kecerdasan buatan.

References

Amin, F. H., Hashemiannejad, F (2024). Designing the Organization Development Model with Organizational Agility Approach in the Department of Education in Sistan and Baluchistan Province Educational. https://ieepj.hormozgan.ac.ir/article-1-784-fa.html

Bizzi, L. (2023a). Why to gamify performance management? Consequences of user engagement in gamification. Information &Management. https://www.sciencedirect.com/science/article/pii/S0378720623000101

Bizzi, L. (2023b). Why to gamify performance management? Consequences of user engagement in gamification. Information &Management. https://www.sciencedirect.com/science/article/pii/S0378720623000101

Deng, L., Wu, Y., Hu, X., Liang, L., Ding, Y., Li, G., Zhao, G., Li, P. (2020). Rethinking the performance comparison between SNNS and ANNS. Neural Networks. https://www.sciencedirect.com/science/article/pii/S0893608019302667

Gupta, P., Lakhera, G., & Sharma, M. (2024). Examining the impact of artificial intelligence on employee performance in the digital era: An analysis and future research direction. Journal of High Technology Management. https://www.sciencedirect.com/science/article/pii/S1047831024000294

Hambissa, B. A. T. W. M., & R. G. A. (2023). (2023). Public Sector Performance Management: The Shift from Annual Performance Review to Regular Feedback. Social Sciences and Education Research Review, 10(1), 212-217., 10(1), 212–217. https://www.ceeol.com/search/article-detail?id=1195905

Hussain, N. A. S., & M. M. E. E. M. (2024). (2024). How Can Teachers Survive Using 360-Degree Evaluation? International Journal of Academic Research in Business and Social Sciences, 14(1), 1-15., 14(1), 1–15. https://www.researchgate.net/profile/Nor-Hussain-9/publication/386549545_How_Can_Teachers_Survive_Using_360-Degree_Evaluation/links/6755cd75b558f41d0fc62d13/How-Can-Teachers-Survive-Using-360-Degree-Evaluation.pdf

Kelly-Lyth, A., & Thomas, A. (2023). Algorithmic management: Assessing the impacts of AI at work. European Labour Law Journal. https://doi.org/10.1177/20319525231167478

Kumar, A. S. T. M. S. & P. P. (2021). (2021). Gamification as a Sustainable Tool for HR Managers. Acta Universitatis Bohemiae Meridionales, 24(2)., 24(2), 1–15. https://pdfs.semanticscholar.org/8fee/dec50136c9131679e428be097c8a6fe0693f.pdf

Landers, R. N., & Marin, S. (2021). Theory and technology in organizational psychology: A review of technology integration paradigms and their effects on the validity of theory. Annual Review of Organizational https://doi.org/10.1146/annurev-orgpsych-012420-060843

Lim, T. P. & Ravesangar, K. (2025). The Integration of AI in Performance Appraisal: Balancing Automation with Human Judgment. Artificial Intelligence in Peace, Justice, and …. https://www.igi-global.com/chapter/the-integration-of-ai-in-performance-appraisal/371322

Madhuri, A & K. B. R. (2025). HR Analytics and Decision-Making: A Data-Driven Approach to Employee Performance Management Journal of Neonatal Surgery, 14(7), 1–15. https://www.researchgate.net/profile/Br-Kumar/publication/390477819_HR_Analytics_and_Decision-Making_A_Data-Driven_Approach_to_Employee_Performance_Management/links/67fcfa7cbd3f1930dd5d8dd2/HR-Analytics-and-Decision-Making-A-Data-Driven-Approach-to-Employee-Performance-Management.pdf

Madhuri, A & K. B. R. (2025). (2025). HR Analytics and Decision-Making: A Data-Driven Approach to Employee Performance Management. Journal of Neonatal Surgery, 14(7s)., 14(7), 1–15. https://www.researchgate.net/profile/Br-Kumar/publication/390477819_HR_Analytics_and_Decision-Making_A_Data-Driven_Approach_to_Employee_Performance_Management/links/67fcfa7cbd3f1930dd5d8dd2/HR-Analytics-and-Decision-Making-A-Data-Driven-Approach-to-Employee-Performance-Management.pdf

Manoharan, G., & Rajoli, S. B. (2024). Leveraging technology for enhancing performance appraisal. Employee Performance Management for …. https://www.igi-global.com/chapter/leveraging-technology-for-enhancing-performance-appraisal/355464

Mazurchenko, A. (2025). Theoretical Background of Competencies and Their Application in the Competency Model. The Impact of the Digitalization on the Human …. https://doi.org/10.1007/978-3-031-76790-6_4

Nyathani, R. (2023). AI in performance management: Redefining performance appraisals in the digital age. Journal of Artificial Intelligence & Cloud Computing. SRC/JAICC-146, 134(1), 2–5. https://www.researchgate.net/profile/Ramesh-Nyathani/publication/376135128_AI-in-performance-management-redefining-performance-appraisals-in-the-digital-age/links/656a865bce88b87031281813/AI-in-performance-management-redefining-performance-appraisals-in-the-digital-age.pdf

Petu, A. U. A. & O. O. O. (2025). Consolidating the gains and alleviating the pains of a workforce reform: insights from the World Health Organization Africa region’s functional review. Frontiers in Public Health, 13(1), 1–15. https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2025.1557143/full

Saqab, M. R. H. S. S. A.-U.-D. M. & N. M. (2025). The impact of Artificial Intelligence on HR Decision-Making: Opportunities, Challenges and Ethical Consideration. Policy Journal of Social Science Review, 3(12), 39–53. https://policyjssr.com/index.php/PJSSR/article/view/617

Silva, M. & R. R. I. (2025). (2025). Training and Job Satisfaction in Portugal’s Public Sector: A Sequential Mediation Model Based on Competency Acquisition, Performance Appraisal, and Career Progression. Administrative Sciences, 15(5), 189., 15(5), 189–200.

Sinha, V. G. S. & B. S. (2025). Study on the Effectiveness of Agile and Continuous Performance Management Practices in IT Sector. In 2025 International Conference on Emerging Information Technology and Engineering Solutions (EITES) (Pp. 148-153). IEEE., 148–153. https://ieeexplore.ieee.org/abstract/document/11206153

Subrahmanyam, S. (2025). The Integration of Artificial Intelligence and Machine Learning in Performance Evaluation. Evolving Strategies for Organizational …. https://www.igi-global.com/chapter/the-integration-of-artificial-intelligence-and-machine-learning-in-performance-evaluation/369924

Tavakoli, A. M. M. A. A. & A. (2025). Talent Management Pattern Finding with a Succession Approach Using the Met-asynthesis Method. Management and Educational Perspective, 6(4), 1–30. https://www.jmep.ir/article_215363_en.html

Thirunagalingam, A., Addanki, S., Vemula, V. R., & ... (2025). AI in performance management: Data-driven approaches. Behavior in the Digital. https://www.igi-global.com/chapter/ai-in-performance-management/364227

Tripathi, A. (2024). (2024). Organizational Learning Culture and Firm Performance: The Mediating Role of Learning Agility. Vikalpa, 49(2), 129-142., 49(2), 129–142. https://journals.sagepub.com/doi/full/10.1177/02560909241254996

Waller, S. (2025). AI for Performance Management in HR: A Review of Reported Effects on Evaluation and Development. Authorea Preprints. https://doi.org/10.36227/techrxiv.175744086.61604077

Xiao, Q., & Cooke, F. L. (2020). Towards a hybrid model? A systematic review of human resource management research on Chinese state-owned enterprises (1993–2017). The International Journal of Human Resource. https://doi.org/10.1080/09585192.2019.1682030

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Published

2026-01-10

How to Cite

Hartono, P., & Noorchalim Amar. (2026). Pendekatan Modern dalam Performance Apraisal: Sebuah Tinjauan Sistematis atas Model dan Metode Penilaian Kinerja. Jurnal Ekonomi Manajemen Sistem Informasi, 7(2), 1866–1877. https://doi.org/10.38035/jemsi.v7i2.7209