COVID-19 DYNAMIC MODELLING WITH DIFFERENCE EQUATION ON PSBB SCENARIO IN WEST JAVA
COVID-19 has become a global pandemic for the past year. In Indonesia itself, especially in West Java, the first cases were recorded starting from March 1, 2020. The West Java government certainly provides various efforts to suppress the rate of virus transmission. PSBB, proportional PSBB, restri...
Saved in:
Main Author: | |
---|---|
Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/55952 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | COVID-19 has become a global pandemic for the past year. In Indonesia itself,
especially in West Java, the first cases were recorded starting from March 1, 2020.
The West Java government certainly provides various efforts to suppress the rate of
virus transmission. PSBB, proportional PSBB, restrictions on community activities,
restrictions on the use of public facilities, and the spread of vaccines in two stages, are
some of the West Java government's efforts to minimalize the spread of COVID-19.
The work of this final project seeks to provide an overview of the dynamics of
COVID-19 in West Java and its relationship to local government policies, public
attitudes towards the policies implemented, and the condition of medical treatment for
this virus. It is hoped that this research will be able to provide knowledge on the level
of government policy, community compliance, and health services, on the
development of the number of COVID-19 cases in West Java. This research was
conducted by forming a dynamic model of the COVID-19 case. The formation of the
model implements the form of the 40-order differential equation with positive and
negative feedback. This study has results in the form of daily and cumulative actual
case models and daily and cumulative confirmed case models of COVID-19 in West
Java. The model formed uses parameters that have a relationship with the dynamics of
the daily and cumulative number of cases, the level of government intervention and
community compliance. The model also accommodates a second-stage vaccine
deployment. The model was successfully created by evaluating the R-squared metric
of 0.9998 for the accumulative model and 0.7788 for the daily model. Evaluation of
the MAPE metric shows a figure of 8.159% for the accumulative model which can be
categorized as good, and 39.648% for the daily model which can be categorized as
feasible |
---|