TRANSFORMASI DIGITAL DALAM HUMAN RESOURCE MANAGEMENT: PENDEKATAN PREDICTIVE ANALYTICS UNTUK OPTIMALISASI PENGAMBILAN KEPUTUSAN SDM

Abstract

This study aims to analyze the role of digital transformation in Human Resource Management (HRM) through a predictive analytics approach in optimizing HR decision-making in the digital era. The background of this research is based on the increasing need for organizations to manage human resources in an adaptive, data-driven manner, capable of responding to the complexities of a dynamic business environment, thus positioning digital transformation as a strategic element in enhancing the effectiveness of HRM functions. The research method employed is a quantitative approach with an explanatory research design, involving respondents from HR practitioners and managers who are directly engaged in HR decision-making processes, with data collected through a Likert-scale questionnaire. Data analysis was conducted using Structural Equation Modeling (SEM) based on Partial Least Squares (PLS-SEM) to examine the relationships among digital HRM transformation, predictive analytics, and HR decision-making. The results indicate that digital transformation in HRM has a positive and significant effect on HR decision-making, both directly and indirectly through the mediating role of predictive analytics, which has been proven to improve the accuracy, speed, and quality of data-driven decisions. Furthermore, predictive analytics serves as a strategic factor in supporting more effective and sustainable workforce planning. These findings confirm that the integration of digital technology and predictive analytics in HRM is a key driver in achieving sustainable competitive advantage in the era of digital transformation.