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All Journal JURNAL PENDIDIKAN TAMBUSAI Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) Journal of Comprehensive Science Mutiara: Multidiciplinary Scientifict Journal Riwayat: Educational Journal of History and Humanities Jurnal Inovasi Global
Rizki, Dwiki Fatur
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Arts Humanities Astronomy Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences

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Journal : Journal of Comprehensive Science

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Data-Based Leadership: The Role of HR in Strategic Decision-Making in The Furniture Industry, Cirebon Regency, West Java, Indonesia Rizki, Dwiki Fatur
Journal of Comprehensive Science Vol. 4 No. 4 (2025): Journal of Comprehensive Science (JCS)
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jcs.v4i4.3117

Abstract

Data-driven HR leadership is crucial for strategic decision-making, yet its implementation in Indonesia’s furniture industry remains understudied. This research examines data-based HR practices at Agung Jaya Putra Furniture, identifying challenges and opportunities in recruitment, performance evaluation, and workforce planning. A qualitative case study was conducted using interviews, observations, and document analysis, with data interpreted via the Miles and Huberman model. Results indicate strong data use in recruitment (78%) but weaker adoption in performance evaluation (65%) due to low data literacy. Workforce planning (72%) relies on historical data but lacks predictive analytics. Challenges include limited digital infrastructure and resistance to change, aligning with Anwar (2022) and Yusuf et al. (2024). Academically, this study enriches HRM literature in SME contexts; practically, it recommends investing in training and cloud-based analytics. The findings highlight the need for cultural and technological shifts to maximize data-driven HR’s potential, offering a roadmap for similar industries.
Co-Authors Alfin, Muhammad Yewon, Kim