At this stage, the simulation model is designed to predict changes in patient waiting time for several scenarios using Ms. The second stage is the study of model construction. Research are observation to obtain primary data (patient arrival time, service time, and waiting time on each server) and interviews to get supporting data. The first stage is a quantitative descriptive analysis where the queue performance parameters are calculated. Methods: This research was conducted in two stages. YAP”, analyze the vitreoretinal polyclinic queuing system’s performance measures, and identify the optimal queuing scenario through simulation to improve the total waiting time. Objectives: Identify the queuing system model at the vitreoretinal polyclinic service at the “Dr. ![]() Queueing model and simulation can be one method to identify queuing process problems and find the most optimal queuing scenario. Meanwhile, waiting time is an essential indicator of service quality in hospitals and affects patient satisfaction. YAP” causes long queues and long waiting times. Increased outpatient visits at the vitreoretinal polyclinic at the “Dr. The problem has arisen because many requests access the services, but it is in imbalance with the adequacy of providers. Background: Queuing problems often occur in the health care industry, such as hospitals.
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