INTEGRASI HUMAN RESOURCE ANALYTICS DAN SISTEM PENDUKUNG KEPUTUSAN UNTUK MENINGKATKAN AKURASI PERENCANAAN DAN PENGEMBANGAN SDM DI ORGANISASI MODERN
Keywords:
Human Resource Analytics, Decision Support System, HRA–DSS Integration, HR Decision-Making, Digital TransformationAbstract
This study aims to develop and examine an integrated model of Human Resource Analytics (HRA) and Decision Support Systems (DSS) to improve the accuracy of human resource (HR) planning and development in modern organizations. Using a quantitative approach with an explanatory research design involving 120 respondents, the study investigates the influence of HRA, DSS, and their integration on HR decision quality through multiple linear regression analysis. The findings indicate that all variables have a significant effect, yielding a determination value of 68.4%, while the integrated HRA–DSS model enhances decision accuracy by up to 78%, accelerates decision-making processes by 41%, and reduces managerial bias by 33%. In addition to generating predictive and prescriptive analytics, the system also provides automated recommendations related to training needs, job rotation, recruitment planning, and turnover risk analysis with high accuracy (MAPE 8.7%). These results confirm that the integration of HRA–DSS is an effective, stable, and applicable strategic framework for strengthening HR decision-making capabilities in the digital era, offering both conceptual and practical contributions to organizations optimizing digital transformation in human resource management.References
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