The Implementation of Single Channel Single Phase Queue Model at Gadog Clinic during the COVID-19 Pandemic

Abstract

Queuing is a common thing and often happens in everyday life. Queuing is a phenomenon that usually occurs when service needs exceed the provided capacity. The number of people who need services simultaneously and the number of individuals who come exceeds the number of service facilities available, so consumers/patients who arrive cannot get service immediately and are in the queue. The study aims to analyze the implementation of the Single Channel-Single Phase model and the effectiveness of the service time at the Gadog Clinic during the Pandemic COVID-19. The Single Channel-Single Phase Queuing model or one queue one service is the simplest model. Single Channel means that there is only one path to enter the service system or there is one service facility while single phase means that there is only one service or a single set of operations carried out. After receiving the service, the individual exits the system. Based on observations for 30 days, it is known that the patient arrival rate is 575 people/week. The average patient arrival (λ) is 10 people per hour and the average patient service (µ) is 2 people per hour. The average usage rate of Gadog Clinic's counter service is 5 or 500%. Results above 100% indicate the patient arrival rate is very high exceed the number of server and patients are not served properly. This research was carried out during the COVID-19 pandemic so that it provided a phenomenon of patient arrivals that was much larger than usual and this is the novelty of this research.