Integrasi Teknologi dalam Transformasi SDM dan Analisis Data Karyawan
DOI:
https://doi.org/10.61132/manuhara.v4i1.2471Keywords:
Artificial Intelligence, Employee Data Analytics, HR Transformation, Organizational Agility, Technology IntegrationAbstract
This study examines the integration of technology in the process of Human Resource (HR) transformation through the perspective of employee data analytics as a strategic approach to modern HR management. The primary focus of the study is to analyze the impact of the simultaneous integration of digital HR systems and organizational digital transformation on improving the efficiency of HR functions, with organizational agility positioned as a moderating variable that strengthens this relationship. In addition, the study explores the potential optimization of Artificial Intelligence (AI) technologies and predictive analytics methods, such as Bayesian Optimization, in predicting workforce dynamics, including employee attrition risk and competency development needs, while also bridging the analytical skills gap among HR practitioners. The research method employed is a systematic literature review of relevant scientific publications from 2021 to 2025, selecting sources that address digital HR transformation, HR analytics, and the application of AI in organizational contexts. The findings indicate that digital HR systems have a strong and significant effect on enhancing operational efficiency and the quality of HR decision-making, and this effect becomes more optimal when supported by a high level of organizational agility. Furthermore, AI and predictive analytics are proven to generate more accurate predictions and simplify technical complexity, making them easier for HR practitioners to adopt. This study concludes that the success of HR transformation requires a holistic approach that aligns the use of advanced technologies with organizational capabilities, human resource readiness, and ethical considerations to create sustainable organizational value.
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Aisyah, H. W., & Samanhudi, D. (2023). Analyzing the measurement of employee performance with human resources scorecard and AHP. Manajemen dan Bisnis, 22(1), 54. https://doi.org/10.24123/jmb.v22i1.592
Antoniuk, D., Ivens, B. S., & Kolyada, O. (2025). How is artificial intelligence changing HR? Adaptive management for the new environment. Baltic Journal of Economic Studies, 11(2), 13–26. https://doi.org/10.30525/2256-0742/2025-11-2-13-26
Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108
Bondarouk, T., Parry, E., & Furtmueller, E. (2017). Electronic HRM: Four decades of research on adoption and consequences. The International Journal of Human Resource Management, 28(1), 98–131. https://doi.org/10.1080/09585192.2016.1245672
Bui, D. H., & Le, A. T. T. (2023). Improving employee engagement through organizational culture in the travel industry: Perspective from a developing country during the COVID-19 pandemic. Cogent Business & Management, 10(2). https://doi.org/10.1080/23311975.2023.2232589
Garmini, R., & Purnama, R. (2023). Pengaruh masa kerja dan usia terhadap produktivitas kerja karyawan PT Hevea MK 1 Palembang. Masker Medika, 11(2), 300–305.
Kapitanov, V. A., Osipova, O. S., & Chikileva, L. S. (2021). Promising areas for developing HR managers’ competencies in the digital age. SHS Web of Conferences, 91, 01016. https://doi.org/10.1051/shsconf/20219101016
Khatoon, U. T., Babgi, M., Hadi, N. T., Mir, R. N., & Velidandi, A. (2025). Technology-driven change in human resource management: Reshaping talent management and organizational design. Administrative Sciences, 15(11), 1–32. https://doi.org/10.3390/admsci15110452
Kumi, E., Amoako, G. K., Appiah, T., & Dartey-Baah, K. (2025). The impact of digital transformation on organisational dynamics, HR practices, and wellbeing in Ghana’s healthcare sector: A social exchange perspective. Future Business Journal, 11(1). https://doi.org/10.1186/s43093-025-00449-2
Mahmoud, M. H., Ali, A. A., Alrifae, A. A., Eitah, R. A., & AlZubi, M. M. (2025). The impact of digital HRM system and digital transformation on HR efficiency with organizational agility as a moderator. Discover Sustainability, 6(1). https://doi.org/10.1007/s43621-025-01713-9
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. https://doi.org/10.1080/09585192.2016.1244699
Minbaeva, D. B. (2021). Disruptive HR technologies. The International Journal of Human Resource Management, 32(12), 2545–2562. https://doi.org/10.1080/09585192.2021.1913623
Mpuangnan, K. N. (2024). Teacher preparedness and professional development needs for successful technology integration in teacher education. Cogent Education, 11(1). https://doi.org/10.1080/2331186X.2024.2408837
Vaiyapuri, T., & Sbai, Z. (2025). Bayesian optimized boosted ensemble models for HR analytics: Adopting green human resource management practices. International Journal of Technology, 16(2), 561–572. https://doi.org/10.14716/ijtech.v16i2.7277
van den Heuvel, S., & Bondarouk, T. (2017). The rise (and fall?) of HR analytics: A study into the future application, value, structure, and system support. Journal of Organizational Effectiveness: People and Performance, 4(2), 157–178. https://doi.org/10.1108/JOEPP-03-2017-0022
Zerkal, A., & Pavlenko, M. (2025). Digitalisation of human resource management as a factor of enhancing the economic resilience of enterprises under wartime conditions: Adaptation of European practices. Three Seas Economic Journal, 6(2), 46–51. https://doi.org/10.30525/2661-5150/2025-2-8
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