The Completion of Non-Steady-State Queue Model on The Queue System in Dr. Yap Eye Hospital Yogyakarta

International Conference on Mathematics: Education, Theory and Application

数学;教育

Manggala Putri, Arum Helmi^1 ; Subekti, Retno^1 ; Binatari, Nikenasih^1

Department of Mathematics Education, Faculty of Mathematics and Natural Science, Yogyakarta State University, Indonesia^1

关键词: Average queue lengths;    Average waiting-time;    Effectiveness measure;    Non steady-state;    Non-steady-state conditions;    Queue systems;    Social Security;    Steady-state condition;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/855/1/012034/pdf
DOI  :  10.1088/1742-6596/855/1/012034

学科分类：发展心理学和教育心理学

来源: IOP

【 摘 要 】

Dr Yap Eye Hospital Yogyakarta is one of the most popular reference eye hospitals in Yogyakarta. There are so many patients coming from other cities and many of them are BPJS (Badan Penyelenggara Jaminan Sosial, Social Security Administrative Bodies) patients. Therefore, it causes numerous BPJS patients were in long queue at counter C of the registration section so that it needs to be analysed using queue system. Queue system analysis aims to give queue model overview and determine its effectiveness measure. The data collecting technique used in this research are by interview and observation. After getting the arrival data and the service data of BPJS patients per 5 minutes, the next steps are investigating steady-state condition, examining the Poisson distribution, determining queue models, and counting the effectiveness measure. Based on the result of data observation on Tuesday, February 16th, 2016, it shows that the queue system at counter C has (M/M/1):(GD/∞/∞) queue model. The analysis result in counter C shows that the queue system is a non-steady-state condition. Three ways to cope a non-steady-state problem on queue system are proposed in this research such as bounding the capacity of queue system, adding the servers, and doing Monte Carlo simulation. The queue system in counter C will reach steady-state if the capacity of patients is not more than 52 BPJS patients or adding one more server. By using Monte Carlo simulation, it shows that the effectiveness measure of the average waiting time for BPJS patients in counter C is 36 minutes 65 seconds. In addition, the average queue length of BPJS patients is 11 patients.