Amanullah, M. Naufal and Rahma Fitriani, S.Si., M.Sc., Ph.D. (2022) Optimalisasi Sistem Antrean Multi Phase Menggunakan Simulasi (Studi Pada Pelayanan Pembuatan Sim Di Satpas Polres Blitar). Sarjana thesis, Universitas Brawijaya.
Abstract
Penelitian ini bertujuan untuk mengidentifikasi distribusi waktu antar kedatangan dan waktu pelayanan, menghitung karakteristik, dan melakukan optimalisasi pada sistem antrean pelayanan SIM di SATPAS Polres Kabupaten Blitar. Sistem antrean yang diterapkan merupakan sistem antrean Multi Phase. Pelayanan SIM di SATPAS Polres Kabupaten Blitar tediri dari 2 jenis, yaitu permohonan SIM baru dan permohonan SIM perpanjangan. Pada penelitian ini dibentuk sebuah sistem antrean yang dapat mencangkup kedua jalur tersebut. Simulasi dilakukan pada penelitian ini karena distribusi data yang diperoleh tidak memenuhi asumsi teori antrean. Dengan menggunakan Software RStudio, dapat diketahui waktu antar kedatangan berdistribusi peluang Weibull, waktu pelayanan tahap pendaftaran berdistribusi peluang Normal dengan tingkat kesibukan sistem sebesar 99.77%, waktu pelayanan tahap pembayaran berdistribusi peluang Uniform dengan tingkat kesibukan sebesar 38.32%, waktu pelayanan tahap identifikasi berdistribusi peluang Eksponensial dengan tingkat kesibukan sebesar 10.12%, waktu pelayanan tahap uji teori berdistribusi peluang Eksponensial dengan tingkat kesibukan 19.14%, dan waktu pelayanan tahap uji praktik berdistribusi peluang Weibull dengan tingkat kesibukan sebesar 23.37%. Karakteristik tersebut menunjukkan bahwa tahap pendaftaran terlalu sibuk, sehingga dilakukan peninjauan ulang. Karakteristik tersebut juga menunjukkan bahwa tahap identifikasi dan tahap uji teori terdapat server yang menganggur sehingga dilakukan pengurangan jumlah server pada kedua tahapan tersebut.
English Abstract
This study aims to identify the distribution of time between arrivals and service times, calculate characteristics, and optimize the SIM service queue system at the SATPAS Blitar District Police. The queuing system applied is a Multi Phase queuing system. SIM services at the SATPAS Blitar District Police consist of 2 types, namely applications for a new SIM and an application for an extended SIM. In this research, a queuing system is formed that can cover both lines. Simulations were carried out in this study because the distribution of the data obtained did not meet the assumptions of the queuing theory. By using RStudio Software, it can be seen that the inter-arrival time is distributed by Weibull probability, the service time at the registration stage is distributed by Normal probability with a system busyness level of 99.77%, the payment stage service time is distributed by Uniform probability with a busy level of 38.32%, the service time at the identification stage is an Exponential probability distribution. with a busyness level of 10.12%, the service time of the theoretical test phase with an Exponential probability distribution with a busyness level of 19.14%, and the service time of the practical test phase with a Weibull probability distribution with a busyness level of 23.37%. These characteristics indicate that the registration stage was too busy, so a review was carried out. These characteristics also indicate that the identification stage and the theory test stage have idle servers so that the number of servers is reduced at both stages.
Item Type: | Thesis (Sarjana) |
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Identification Number: | 0522090015 |
Uncontrolled Keywords: | Multi-Phase, optimalisasi, pelayanan SIM, sistem antrean, Multi-Phase, optimization, queuing system, SIM service. |
Subjects: | 500 Natural sciences and mathematics > 519 Probabilities and applied mathematics > 519.5 Statistical mathematics |
Divisions: | Fakultas Matematika dan Ilmu Pengetahuan Alam > Statistika |
Depositing User: | Zainul Mustofa |
Date Deposited: | 30 Sep 2022 02:06 |
Last Modified: | 30 Sep 2022 02:06 |
URI: | http://repository.ub.ac.id/id/eprint/195200 |
Text (DALAM MASA EMBARGO)
M. Naufal Amanullah.pdf Restricted to Registered users only until 31 December 2024. Download (4MB) |
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