The stability of Petri net model for the COVID-19 patient service system

Monika Rianti Helmi, Noverina Alfiany, Nova Noliza Bakar, Dini Rahmadani

Abstract

Coronavirus Disease 2019 (COVID-19) is an infectious disease caused by SARS-CoV-2 and designated a pandemic by the World Health Organization (WHO) on March 11, 2020. As cases increase, the number of patients requiring services is more than the available staff and facilities, in queues resulting in longer patient waiting times. One way to analyze the queuing system is to model using max-plus algebra. Before forming the Max-Plus Algebra model, Petri Net was built, which is a graphical and mathematical modeling tool for analyzing a system, so in this study, the results obtained in the form of a model Petri Net and max-plus algebra in the treatment of COVID-19 patients, where is the service flow patients used are limited to referral patient services with positive and suspected cases Patients Under Surveillance (PDP) COVID-19.

How to Cite this Article

Monika Rianti Helmi, Noverina Alfiany, Nova Noliza Bakar, Dini Rahmadani, The stability of Petri net model for the COVID-19 patient service system, Commun. Math. Biol. Neurosci., 2023 (2023), Article ID 100. https://doi.org/10.28919/cmbn/8130

Copyright © 2023 Monika Rianti Helmi, Noverina Alfiany, Nova Noliza Bakar, Dini Rahmadani. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.