Haris Agusty Arvan, Riko Ervil, Tri Ernita, Aziati Ridha Khairi
{"title":"SISTEM ANTRIAN BANK NAGARI CABANG KOTO BARU MENGGUNAKAN MODEL ANTRIAN MULTI CHANNEL-SINGLE PHASE","authors":"Haris Agusty Arvan, Riko Ervil, Tri Ernita, Aziati Ridha Khairi","doi":"10.36275/stsp.v23i1.607","DOIUrl":null,"url":null,"abstract":"The queuing system is a collection of customers, services and a rule that regulates the arrival of customers and the processing of queue service problems. The Multiple Channel Single Phase model is a service system that serves with one queue line and several services. The Multiple Channel Single Phase model is used when queuing tellers at a bank. Bank is a type of financial institution that performs a variety of services, such as providing loans, circulating currency, supervising currency, acting as a repository for valuables, financing the business of companies. The public's need for banking services is increasing. Apart from the various facilities provided by banks, service is a very important thing to pay attention to. If the services provided by banks are not optimal, it will cause problems. One of the problems that arise because the service is not optimal is the occurrence of long queues. The purpose of this study was to determine the number of customers queuing in the rush hour queue and to find out the average time customers were in the queue during peak hours. This type of research is a quantitative descriptive research. Data collection techniques were carried out through direct observation of the performance of the customer queuing system at Bank Nagari Koto Baru. The results of the study found that the number of customers queuing at 1 teller was 7.26 customers. The average waiting time for customers before getting service is 31.99 minutes. Additional facilities are needed to improve service so as to reduce customer waiting time.","PeriodicalId":31905,"journal":{"name":"Sainstek Jurnal Sains dan Teknologi","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sainstek Jurnal Sains dan Teknologi","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36275/stsp.v23i1.607","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The queuing system is a collection of customers, services and a rule that regulates the arrival of customers and the processing of queue service problems. The Multiple Channel Single Phase model is a service system that serves with one queue line and several services. The Multiple Channel Single Phase model is used when queuing tellers at a bank. Bank is a type of financial institution that performs a variety of services, such as providing loans, circulating currency, supervising currency, acting as a repository for valuables, financing the business of companies. The public's need for banking services is increasing. Apart from the various facilities provided by banks, service is a very important thing to pay attention to. If the services provided by banks are not optimal, it will cause problems. One of the problems that arise because the service is not optimal is the occurrence of long queues. The purpose of this study was to determine the number of customers queuing in the rush hour queue and to find out the average time customers were in the queue during peak hours. This type of research is a quantitative descriptive research. Data collection techniques were carried out through direct observation of the performance of the customer queuing system at Bank Nagari Koto Baru. The results of the study found that the number of customers queuing at 1 teller was 7.26 customers. The average waiting time for customers before getting service is 31.99 minutes. Additional facilities are needed to improve service so as to reduce customer waiting time.