ANALISIS SISTEM ANTRIAN DALAM MENINGKATKAN EFEKTIVITAS PELAYANAN LOKET PENGAMBILAN OBAT PADA RUMAH SAKIT CITRA HUSADA KABUPATEN JEMBER

Andiny, Della Vera (2023) ANALISIS SISTEM ANTRIAN DALAM MENINGKATKAN EFEKTIVITAS PELAYANAN LOKET PENGAMBILAN OBAT PADA RUMAH SAKIT CITRA HUSADA KABUPATEN JEMBER. Undergraduate thesis, Universitas Muhammadiyah Jember.

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Abstract

The queuing system is a collection of customers, servers, and a rule that regulates the arrival of customers and their services. This study aims to determine the right number of counters in order to provide effective service at the counter for drug collection at Citra Husada Hospital, Jember Regency. The queuing system method used is the multiple channel method (Multi Channel-Single Phase) to find out the number of effective counters in order to provide service time less than the standard time set at the drug collection counter at Citra Husada Hospital, Jember Regency. By using secondary data, the number of samples used was 189 patients seen from the maximum and minimum arrival and service levels. The results of the study using queuing theory analysis through the calculation of the multiple lane queuing model, show that the queuing system applied with 2 drug collection counters at busy times is still ineffective with the proportion of effectiveness of service time of 61%. An alternative to adding counters by considering the average waiting time is by adding drug collection stations to 3 drug collection counters with a proportion of effectiveness of service time of 180% so that the services provided are less than the standard time for taking drug counters which is applied at 15 minutes

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Queuing System, Service Effectiveness and Multi Channel - Single Phase
Subjects: 600 Technology and Applied Science > 650 Business > 658 General Management
Divisions: Faculty of Economics > Department of Management (S1)
Department: S1 Manajemen
Depositing User: Della Vera Andiny
Contributors:
ContributionContributor NameNIDN/NIDK
Thesis advisorWijayantini, BayuNIDN0717027904
Thesis advisorUmamy, Septy HolisaNIDN0722099501
Contact Email Address: della.vera5758@gmail.com
Date Deposited: 27 Jul 2023 02:20
Last Modified: 27 Jul 2023 02:20
URI: http://repository.unmuhjember.ac.id/id/eprint/18095

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