Home Penelitian Dosen Manajemen Analisa Waktu Tunggu di Layanan Administrasi Akademik Universitas Bunda Mulia dengan Metode Simulasi
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ANALISA WAKTU TUNGGU DI LAYANAN ADMINISTRASI AKADEMIK UNIVERSITAS BUNDA MULIA DENGAN METODE SIMULASI

 

Oleh: Rudy Santosa Sudirga

Dosen Jurusan Manajemen Universitas Bunda Mulia, Jakarta

 

Academic Administration Service management continues to be a major challenge for many Universities or school organizations as Universities are required to provide more services with less resources. Especially in information intense environments, short response times for service are essential to avoid disruptions to University’s day to day activities or Academic Administration Service’s facilities. Managers must regularly assess their manpower needs, and ensure that their allocations and operational decisions lead to the best service at the lowest cost. Service staff allocation and response-time in service involves many challenging problems, because the mean and variance of the response-time in service can increase dramatically with traffic intensity, consequently the design for this system has to be able to cope with this complication. This experiment discusses how to use simulation model to improve response-time in service and service operations. Therefore simulation experiments for analyzing the steady-state behavior of queuing systems over a range of traffic intensities are considered the best method of solution.

The technique of simulation consists of taking random samples from the probability distribution which represents the real-world system. In the case of queues, instead of the normal distribution, the usage of a uniform distribution or a random distribution may also be appropriate for solving the problem.

In this research the effects of dependent departure intervals on waiting times are examined for a one-station queuing system. These inter-arrival times are compared to a computer-simulated inter-arrival times having dependent arrivals. A series of response-times in service experiments are also compared to a computer-simulated service times. Significant differences in service times are found due to the mean and variance of the service times.

The purpose of this research is to propose a new dynamic-server queuing model to increase system efficiency and customer satisfaction compared with the current practice. This research work and proposed simulation model will surely invite the development and creation of a similar algorithm model for multi-server, multi-queue systems.

 

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