Implementasi Simulasi Sebagai Alat Prediktif Dalam Sistem Pendukung Keputusan Manajemen Pendidikan

Abstract

this study aims to analyze the implementation of simulation as a predictive tool within Decision Support Systems (DSS) for educational management. The research adopts a library research method by examining books, academic journals, and previous studies related to simulation models, decision-making processes, and educational management systems. The findings indicate that simulation provides a structured means to represent real conditions through virtual models, enabling decision-makers to predict the potential impact of various policy alternatives before implementation. Simulation also supports a more objective and data-driven decision-making process by reducing human error, increasing analytical accuracy, and enhancing the consistency of evaluations within educational institutions. Furthermore, simulation offers opportunities to analyze complex systems and improves the efficiency of planning, resource allocation, and policy assessment. The study concludes that simulation significantly strengthens the quality of managerial decisions in educational settings, particularly in situations requiring precise predictions and strategic considerations. Thus, integrating simulation into DSS serves as an effective approach to improving decision accuracy and supporting the overall effectiveness of educational management.