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All Journal Jurnal Manuhara: Pusat Penelitian Ilmu Manajemen Dan Bisnis
Irfan Hafidz Muhyiddin
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Integrasi Teknologi dalam Transformasi SDM dan Analisis Data Karyawan Hairul Hairul; Maulana Jauhari; Rifky Gismanyan; Irfan Hafidz Muhyiddin; Mada Aditia Wardhana
Jurnal Manuhara : Pusat Penelitian Ilmu Manajemen dan Bisnis Vol. 4 No. 1 (2026): Jurnal Manuhara: Pusat Penelitian Ilmu Manajemen dan Bisnis
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/manuhara.v4i1.2471

Abstract

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.
Co-Authors Hairul Hairul Mada Aditia Wardhana Maulana Jauhari Rifky Gismanyan