Abstract
Waiting in line is one of the most important issues against all types of services. Banks are one of them.The purpose of this project is to study and analyze the system. bank queue and to determine the appropriate number of service units to help reduce the problem of waiting. Data collection will collect customer service rate and employee service rate. The variables that affect the service of employees are the time period and assume that all data.Poisson’s distribution and statistical hypothesis were performed using the Goodness-of-fit test and modeling was performed. situation with Excel. From the research, it was found that the problem of waiting for the service users of the bank is caused by the employees not enough for the number of customers When the variable is set to a day The number of customers does not affect the service provided, but when the variable is set to a time interval. It is found that the number of customers affects the service of employees.So it has been done Data collection is at intervals of 1 hour each, where the most time when customers come to use the service is the 1st period (08.30 – 09.29 a.m.) to be used as a guideline for solving the problem of rows that occur, which is to increase the number of counters to suit different time periods for the waiting period and to achieve the lowest cost of opening a counter.