Analysis of HR Function Effectiveness on Employee Performance Through the HR Analytics Approach in a Type A Hospital in Bandung

Authors

  • Muthia Aura Maharani Politeknik Piksi Ganesha, Bandung, Indonesia
  • Nurul Dwi Ariyani Politeknik Piksi Ganesha, Bandung, Indonesia

DOI:

https://doi.org/10.38035/ijphs.v3i3.1340

Keywords:

HRD, HR Analytics, Employee Performance, Hospital Management, Workforce Productivity

Abstract

The present study analyzes the effectiveness of Human Resource Development (HRD) in improving employee performance through the application of HR Analytics in a Type A hospital in Bandung. HRD is recognized as a strategic function in aligning human resource management with organizational goals and regulatory demands, while HR Analytics offers the potential to transform administrative data into actionable insights for decision-making. Using a quantitative survey method, data were collected through questionnaires and analyzed with standard statistical procedures to assess validity, reliability, correlation, and descriptive trends. The findings highlight the significant contribution of HRD to employee performance, yet also reveal that the hospital’s use of HR Analytics within its human resource information system remains largely administrative rather than strategic. The study concludes that hospitals need to enhance their HRD strategies by embedding data-driven practices, thereby fostering sustainable productivity and improved quality of care.

References

Cohen, J. (2013). Statistical power analysis for the behavioral sciences (2nd ed.). Routledge.

Dessler, G. (2020). Human resource management (16th ed.). Pearson.

Ghozali, I. (2018). Aplikasi analisis multivariate dengan program IBM SPSS 25. Badan Penerbit Universitas Diponegoro.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning.

Levenson, A. (2018). Using workforce analytics to improve strategy execution. Human Resource Management, 57(3), 685–700.

Mangkunegara, A. A. P. (2017). Manajemen Sumber Daya Manusia Perusahaan. Bandung: Remaja Rosdakarya.

Margherita, A., & Bua, I. (2021). HR analytics capabilities and organizational value creation: Evidence from Italian firms. The International Journal of Human Resource Management, 32(3), 540–570.

Marler, J. H., & Boudreau, J. W. (2017). An evidence-based review of HR Analytics. The International Journal of Human Resource Management, 28(1), 3–26.

Minbaeva, D. (2018). Building credible human capital analytics for organizational competitive advantage. Human Resource Management, 57(3), 701–713.

Putri, E. F., & Hidayati, R. (2022). Pelatihan dan Kompetensi terhadap Kinerja Karyawan. Jurnal Productivity, 4(2)

Razali, N. M., & Wah, Y. B. (2011). Power comparisons of Shapiro-Wilk, Kolmogorov-Smirnov, Lilliefors and Anderson-Darling tests. Journal of Statistical Modeling and Analytics, 2(1), 21–33.

Robbins, S. P., & Judge, T. A. (2017). Organizational Behavior (17th ed.). New Jersey: Pearson Education.

Sahadewa, G., & Rahmawati, I. (2021). Beban Kerja dan Konflik Peran terhadap Kinerja Dimoderasi Dukungan Sosial. Jurnal Productivity, 3(1).

Santoso, B., & Pratama, Y. (2022). HR Analytics: Transformasi Pengelolaan SDM di Era Digital. Jurnal Teknologi Informasi dan Bisnis, 8(2), 77–85.

Sedarmayanti. (2017). Manajemen Sumber Daya Manusia: Reformasi Birokrasi dan Manajemen Pegawai Negeri Sipil. Bandung: Refika Aditama.

Sugiyono. (2014). Metode penelitian bisnis: Pendekatan kuantitatif, kualitatif, dan R&D (Cet. ke-18). Bandung: Alfabeta.

Werner, J. M., & DeSimone, R. L. (2012). Human resources development (6th ed.). South-Western Cengage Learning.

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Published

2025-09-24

Issue

Vol. 3 No. 3 (2025): International Journal of Psychology and Health Science (July - September 2025)

Section

Articles

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Copyright (c) 2025 Muthia Aura Maharani, Nurul Dwi Ariyani

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