Agent-Based Modelling and Simulation to Determine the Spread of COVID-19 Based on Human Behaviour in Indonesia

Ismianti, Ismianti and Wibowo, Astrid Wahyu Adventri and Nursubiyantoro, Eko and Kasih, Puji Handayani Agent-Based Modelling and Simulation to Determine the Spread of COVID-19 Based on Human Behaviour in Indonesia. In: 1st International Conference on Engineering Optimization and Management in Industrial Applications "Advancement of Optimization, Engineering Technology, and Management for Sustainable Environment", 29 Oct 2022, Yogyakarta.

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Abstract

The infectious disease Coronavirus Disease-2019 (COVID-19) spread around the world in early 2020. The speed of the virus's spread varies in different regions or countries depending on various factors such as the environment, human behaviour, and government intervention. Prediction of the spread of the Covid 19 virus has been carried out by many previous studies. Research that has been done is usually to determine the speed, peak, and predictions of the completion of this pandemic. However, research on the spread of COVID-19 using different individual behavioural approaches is still very limited. Modeling with different individual behaviours in the spread of COVID-19 can provide more realistic results. This study wants to know the relationship between individual behaviour and the spread of COVID-19 in Indonesia by using Agent-Based Modelling and Simulation, where this modelling emphasizes the influence of individual behaviour on emergencies in the form of the spread of COVID-19. The software used in this modeling is Netlogo 6.0. This study uses secondary data from various regions. This research presents simulations and information on various conditions of the spread of COVID-19 resulting from differences in individual behaviour. From this research, it is known that the implementation of health protocols by each individual and the policies implemented by the government has an impact on the spread of COVID-19.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	T Technology > T Technology (General)
Depositing User:	ST, M.Sc Astrid Wahyu Adventri Wibowo
Date Deposited:	05 Jan 2023 06:47
Last Modified:	05 Jan 2023 06:48
URI:	http://eprints.upnyk.ac.id/id/eprint/32211

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