Abstract
Queues can occur when the need for a service exceeds the available capacity for that service. This study aims to determine the queuing model for the regional service vehicle apel activity in Banyumas Regency in 2020, the effectiveness of the number officers service, and create a simulation model of the queuing model. Based on the results of the research, it can be concluded that the queuing system at the vehicle service with two officers uses a single-phase multi-channel queue structure, queuing discipline is First Come First Served and distribution arrival is Poisson and services with Eksponensial distribution, so the queuing model used is (M/M/s). From the results of calculations using POM for windows the level of service activity is 50% of the times, the average number of apple participants in the system is 1,33 people, the average number of apple participants in the queue is 0,33 people, the average time in the system is 6,6 minutes and the average time in the queue is 1,8 minutes. Because the results of the calculation (1-r) are 50% of the break time, so the regional service vehicle apel in Banyumas Regency in 2020 officer is enough with two officers and has been effective.
Highlights
Queues can occur when the need for a service exceeds the available capacity for that service
From the results of calculations using POM for windows the level of service activity is 50% of the times, the average number of apple participants in the system is 1,33 people, the average number of apple participants in the queue is 0,33 people, the average time in the system is 6,6 minutes and the average time in the queue is 1,8 minutes
This study aims to determine the queuing model for the regional service vehicle apel activity in Banyumas Regency in 2020, the effectiveness of the number officers service, and create a simulation model of the queuing model
Summary
Penelitian ini dilakukan dengan bantuan software POM for Windows 4.0 dan IBM SPSS 25. Berdasarkan data pada Tabel 2 diperoleh bahwa rata-rata jumlah pelayanan oleh petugas per jam, yaitu : Jadi, rata-rata laju pelayanan peserta apel yaitu 12,6 peserta. Bertujuan untuk menganalisis distribusi rata-rata laju kedatangan mengikuti distribusi Poisson. Prosedur uji hipotesis kesesuaian distribusi kedatangan peserta apel kendaraan dengan menggunakan software SPSS 25 adalah sebagai berikut : 1. 5. Kesimpulan Distribusi kedatangan mengikuti distribusi Poisson dengan rata-rata laju kedatangan peserta apel yaitu = 12,6 peserta apel per jam. 3.3 Uji Kesesuaian Distribusi Pelayanan Peserta Apel Uji distribusi pelayanan peserta apel kendaraan menggunakan uji Kolmogorov-Smirnov bertujuan untuk menganalisis distribusi rata-rata laju pelayanan peserta apel kendaraan yang mengikuti distribusi Eksponensial. Prosedur uji hipotesis kesesuaian distribusi pelayanan peserta apel kendaraan dengan menggunakan software SPSS 25 adalah sebagai berikut :
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