Main Article Content

Abstract

There are several factors in assessing the quality of a hospital, namely the level of expertise of
doctors owned, quality supporting facilities and infrastructure, and the queuing system
implemented by the hospital. If the arrival rate and level of service provided to the patient are
not balanced it will cause initiation for the patient and a loss to the hospital because the patient
tends to switch to a hospital that has a more optimal level of service. In this study, the method
used is a simulation method using flexsim software. The data were obtained using primary data
that has been observed directly on the outpatient service queue system of dr. Sardjito Hospital.
From the data searched for data distribution using flexsim feature, experfit. During the time the
simulation was run found obstacles in the polyclinic queue of obstetrics and obstetric diseases
which is in accordance with direct blame. It is known that the average waiting time of the
polyclinic queue is for 3.5 hours which is classified as very long and the utilization of doctors
works by 44.65%. So there need to be improvements in the form of alternative models in the
queue, namely by increasing the number of rooms and doctors who work with as many as 2 and
3 units. From the results of a significant average waiting time from the initial model change
with the alternative model, which is as much as 3 units for 2.6 hours with a ratio of 0.9 hours
that became the chosen alternative. Based on the research can help the hospital in providing
queue services in the queue of obstetric polyclinics and obstetric diseases to patients and the
doctor's working time is more optimal and does not exceed the ability of the doctor's work.



Keywords: Discrete Event Simulation, Flexsim, Queue

Article Details

How to Cite
Rizky Restiana. (2022). FLEXSIM MODELING AND SIMULATION TO OPTIMIZE THE OBSTETRICIC POLYCLINIC QUEUE SYSTEM AND OBSTETRIC DISEASES AT DR. SARDJITO HOSPITAL YOGYAKARTA, INDONESIA. Khazanah: Jurnal Mahasiswa, 13(4). https://doi.org/10.20885/khazanah.vol13.iss4.art25