Penentuan Jumlah Petugas Pelayanan Pembayaran Pajak Tahunan dan Lima Tahunan dengan Metode Simulasi Monte Carlo di Kantor Bersama Samsat Gresik

Siati, Siati (2019) Penentuan Jumlah Petugas Pelayanan Pembayaran Pajak Tahunan dan Lima Tahunan dengan Metode Simulasi Monte Carlo di Kantor Bersama Samsat Gresik. Undergraduate thesis, UPN "Veteran" Jatim.

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                          Abstract

                          Background The SAMSAT Gresik Joint Office has not fully met the established policies because it has not implemented a Monte Carlo simulation system that allows managers to modify existing policies. The problems that occur are long queues caused by uncertain service times and random arrivals so that waiting times experienced by customers are getting longer. The purpose of this study is to determine the optimal number of annual and five-year tax payment officers using the Monte Carlo simulation method. To overcome the queuing problem, it is done by using the Monte Carlo simulation method. The results of this study found the average waiting time for annual tax payments was 22.5479 ≈ 23 minutes with an average utility level of 81.23% and the queue length of 2.33863 ≈ 3 people. As for the five-year tax payment, the average waiting time was 42.85366 ≈ 43 minutes with an average utility level of 91.38% and the queue length of 4.55057 ≈ 5 people. Based on the waiting time that has been obtained, it can be seen that the optimal number of service officers is 3 service officers for annual tax payments and 2 service officers for five-year tax payments. Keywords: Queue, Arrival, Service, Simulation, Monte Carlo.

                          Item Type: Thesis (Undergraduate)
                          Subjects: T Technology > TS Manufactures > TS155 Production management. Operations management > TS161 Materials management
                          Divisions: Faculty of Engineering > Industrial Engineering
                          Depositing User: Fatchullah ZA
                          Date Deposited: 05 Feb 2020 09:38
                          Last Modified: 05 Feb 2020 09:46
                          URI: http://eprints.upnjatim.ac.id/id/eprint/8150

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