The analysis of queue model on a motorcycle parking area

Abstract

Abstract This research aims to determine the queue model on a motorcycle parking area at Jember Universityand its performance measures. The data collection method in this research uses the observation method. Data taken are the number of arrivals, the number of departures, and service time. To get arrival distribution and service time distribution use mathematical calculation and Kolmogorov-Smirnov Test with SPSS Statistics. After arrival distribution and service time distribution are known, then using Kendall Notation rule to get queue model. Formula derivation and POM-QM for Windows are used to obtain performance measurement values in the queue model. After getting the data needed through observation, then analysedtaht data to determine the value of arrival rate and service rate, then the data is reanalysed to find out the data obtained has been steady-state. This research is known that steady-state, so that distribution test can be done, with the result that the arrival distribution was Poisson distribution and the service time distribution was Exponential distribution. In modelling the queue Kendall Notation is required. It’s used to clarify how the queue system reviewed works and is modelled. Based on the results of data analysis in this research, the queue model obtained was (M/M/1):(FIFO/∞/∞).