Skripsi
#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