Abstract

This research is a type of research based on case studies, where is the research withUSING a descriptive approach to explain variables what will be studied. The purpose of thisprogram was to find out the Queuing System Model of the Office of Central Java Province inPemalang District, to find the size pattern of service at UP3AD Central Java Province, andto test the arrival pattern Poisson distribution and whether Service Time is distributedExponential. This research is conducted by observing the rate of arrival of taxpayers perminute and also the time of service for taxpayers per minute. This study was tested usingthe Kolmogorov-Smirnov Conformity Test which was assisted by SPSS and Microsoft Excelapplications.

Highlights

  • Queuing theory is a probabilistic study of waiting line events, namely a waiting line for customers who need services from an existing system

  • The process of research is about observing the rate of arrival of taxpayers whose time intervals are determined every 5 minutes, besides This step includes observing the time of service given to each taxpayer, where each taxpayer is subject to a standard time set at the UP3AD Office in Central Java Province in Pemalang Regency for 20 minutes

  • Arrival Distribution Test Registration and Determination Counters (First Phase) Data on arrival rates taken at the UP3AD Office in Central Java Province in Pemalang District at the registration and determination counters observed on Monday 03 December 2018 with a time interval between taxpayers is 5 minutes

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Summary

Introduction

Queuing theory is a probabilistic study of waiting line events, namely a waiting line for customers who need services from an existing system. If the number of available servers is limited, a long queue occurs, so the queue decides to leave the queue. This condition causes a loss for a company because of losing the customer, and the company must provide sufficient servers, with the consequence that the company incurs greater costs (Sinalungga, 2008: 238). Queue theory basically cannot directly solve a problem with the queue This queuing theory has the advantage of being able to provide valuable information in decision making such as how to balance the waiting time in the queue which is done by predicting some characteristics of the queue, for example, the average time needed in the queue (Tarliyah and Dimyati, 1999: 349)

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