#14814
SKRIPSI/JUR.TI PS.TEKNIK INJFORMATIKA MULTIMEDIA/048 IRV S 2021 ISBN: 17665031
Subjects: Penelitian
SIMULASI SISTEM ANTRIAN PADA METROPOLIS BARBERSHOP BONTANG MENGGUNAKAN APLIKASI PROMODEL --
Irvan Fahlul Ghofianto / / /SAMARINDA SAMARINDA 2021
Viii; 175 h; ilus; 23 cm Bahasa:IND
ABSTRACT
At a service facility there is generally a queue, for example a hair cutting queue at
Metropolis Barbershop Bontang. Queues that occur at barbershops are due to the lack
of number of service facilities or the level of service that has not been optimal, resulting
in customers waiting for a long time. The author aims to model the queues that occur,
explain the results of the queuing system analysis, and provide the right queuing model
at Metropolis Barbershop Bontang so that the service time is more optimal. The
queuing model that occurs at Metropolis Barbershop is multi-channel - multi-phase.
Quantitative data from observations will be stored and processed temporarily in
Microsoft Excel, at service time and arrival time using an exponential distribution.
Then the researchers analyzed the ProModel by entering the results of observation data
in the form of average arrival time and average service time. The role of ProModel is
to scientifically prove the results of the service system that occurs at Metropolis
Barbershop in the form of the service time provided, the workload borne, and the busy
hours that occur. With ProModel, the researcher compared the queuing model with the
real conditions that occurred at Metropolis Barbershop with the queuing model that the
researcher made with other conditions. From the simulation results that occur, it can be
seen that the average service time is almost the same for both queuing models but the
second queuing model is better than the first because in terms of the workload borne in
the first model, it is 51.62% greater than the first model. the second as much as 41.43%.
This is related to the busy hours that occur in the first model from 10:30 to 16:30, while
in the second model from 10:30 to 17:00 and from 20:00 to 22:00
Keywords: queuing system, multi channel – single phase, service time, workload, busy
hours