Bandung City Government has issued a Mayor’s Circular regarding the prevention and
handling of Covid-19. Therefore, on December 3rd 2020, the city of Bandung again im-
pose large-scale social restrictions or known as Pembatasan Sosial Bersekala Besar (PSBB).
That means there are restrictions activities of citizens, especially in public spaces. Since
March 15, 2020, the Bandung City Government has issued a Mayor’s Circular regarding
the prevention and handling of Covid-19. Enforce Restrictions on Community Activities
(PPKM) means a government regulation that limits community activities, especially re-
lated to the potential for crowds. To approach the problem of estimating SIR (Susceptible,
Infected, Recovered) model parameters for predicting COVID-19 cases in Bandung City.
While the SIR model has been applied in numerous settings to understand and predict
the dynamics of COVID-19, the accuracy of these predictions significantly depends on the
precise estimation of model parameters, including the rate of transmission (?), recovery
rate (?). Extended the approximation method of Euler to a mere elaborate scheme which
was capable of greater accuracy. The idea of Euler was to propagate the solution of an
initial value problem forward by a sequence of small time-steps. We found that the SIR
method is successful to describe the infected profile using several experiments. SIR model
for data set of Covid-19 first wave in Bandung city, start in July 4th, 2021 until October
10th, 2021. there were 87,288 cases that occurred until July 7 2022 which could indicate
that this increase in suspects is very large for regions in Indonesia, The values of this ex-
periment are 0.3, 0.4, and 0.5. While the infection rate has started to decline, if we look
at July 4th, 2021, there is a significant increase in the range of 26,771 cases. We compare
with the second wave of Covid-19 (Omicron), these results have different value parameters
of (?). (?) = 0.1 the SIR model is quite far from the peak of the second wave of covid-19,
meanwhile (?) = 0.2 very close to the real active cases data, and (?) = 0.3 is very far from
the peak of the original Covid-19 data. Overall, the SIR method is successful to describe
the infected profile using several experiments, these results yield a good comparison be-
tween numerical simulation.
Keywords: SIR, Covid-19, Runge-Kutta, Omicron, ?.