Queueing model as a decision support system for public service optimization
Keywords:
Decision Support System, Public Service, Queueing Model, Service Optimization, System PerformanceAbstract
This study aims to apply a queueing model as a decision support system to optimize public service performance. Public service institutions often face problems such as long waiting times, uneven service distribution, and low service efficiency, which can reduce service quality and user satisfaction. Therefore, an effective approach is needed to analyze and improve service performance. This research applies queueing theory to evaluate service system performance by analyzing arrival rates, service rates, waiting time, and queue length. The method used in this study includes data collection, system modeling, performance analysis, and evaluation of service efficiency. The results show that the implementation of a queueing model can support decision-making in managing service facilities, optimizing service processes, and reducing waiting time. The proposed model provides useful information for improving service effectiveness and efficiency in public service institutions. Therefore, the queueing model can be utilized as a decision support system to enhance service quality and operational performance.
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