Numerical Simulation of Covid-19 Mathematical Modelling with Optimal Control in Indonesia
- DOI
- 10.2991/978-94-6463-148-7_2How to use a DOI?
- Keywords
- Covid-19; mathematical model; optimal control; SEIR model; PMP method
- Abstract
The mathematical model of COVID-19 considered in this study is the SEIR model which is defined by four ordinary differential equations that describe the number of susceptible, infected, infected and cured individuals by applying optimal control theory in the form of treatment and quarantine. To characterize the optimal control in the COVID-19 seir mathematical model, the Pontryagin maximum principle is used. The purpose of this study was to reduce the number of susceptible, infected and infected individuals and increase the number of recovered individual populations. The covid-19 mathematical model with optimal control is solved using the Runge-kutta order 4 method and the results are represented graphically. The results obtained from the simulations carried out show that optimal control can work well on the Covid-19 mathematical model that has been formed with the data used being actual data on Covid-19 cases in Indonesia.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Nur Ilmayasinta AU - Asmianto PY - 2023 DA - 2023/05/29 TI - Numerical Simulation of Covid-19 Mathematical Modelling with Optimal Control in Indonesia BT - Proceedings of the 12th International Conference on Green Technology (ICGT 2022) PB - Atlantis Press SP - 3 EP - 12 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-148-7_2 DO - 10.2991/978-94-6463-148-7_2 ID - Ilmayasinta2023 ER -