Optimization of Healthy Service by Implementing the System Queues on Social Insurance Administration Organization (BPJS) in Dr. H. Marzoeki Mahdi Hospital in Bogor
Ani Andriyati1, Suci Lisdawati2

1Ani Andriyati, Department of Mathematic, Faculty of Mathematics and Natural Sciences, Pakuan Bogor University, Indonesia.
2Suci Lisdawati, Department of Mathematic, Faculty of Mathematics and Natural Sciences, Pakuan Bogor University, Indonesia.
Manuscript received on 02 August 2019 | Revised Manuscript received on 25 August 2019 | Manuscript Published on 05 September 2019 | PP: 134-137 | Volume-8 Issue-2S7 July 2019 | Retrieval Number: B10320782S719/2019©BEIESP | DOI: 10.35940/ijrte.B1032.0782S719
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Patient queue buildup on Social Insurance Administration Organization (BPJS) in the Dr. H. Marzoeki Mahdi hospital (RSMM) in Bogor is a problem that often occurs. This is caused by the patient’s arrival rate exceeds the service facilities provided. To reduce the buildup of queues and improve services, queueing M/M/S model is applied in BPJS patient. M/M/S model is used so that the Ministry can optimize the management system as well as reduce queues at the BPJS patients patient service (TPP) in Bogor RSMM. On-site system queues on the TPP can be done at a time when the number of staff service (counter) at least 5 officers of service so that in addition to be able to reduce the chance of a busy period of previous service officer can also optimize on-site services, but for the wait and cost expenditures costs of facilities not significant therefore need to add 1 more Ministry officials became 6 officer’s service in order to improve the facilities of the Ministry on patients as well as patients BPJS TPP not too long to wait in the process the queue.
Keywords: BPJS, Queueing Theory, M/M/S Model.
Scope of the Article: Cryptography and Applied Mathematics