| Abstrak/Abstract |
Today Indonesia is experiencing health problems that are also being faced by all
countries in the world, namely Covid-19. Jakarta, the capital of the state of Indonesia, is one of
the provinces that has been the epicenter of the Covid-19 cases. Aim of study is to determine
dependency between Covid-19 and maximum temperature in Jakarta, Indonesia. Data of
Covid-19 cases used are daily cumulative cases, new cases, and deaths. The correlations used
are Pearson, Spearman, and Kendall. The correlation coefficient only provides information on
the measure of the two variable relationship and does not show the structure of dependency
between these variables. One of the methods used to see the dependency structure between
variables is copula. One of the copula that is widely used is the clayton copula because of its
flexible characteristics. Meanwhile, to see the dependency structure between variables will be
used the Copula method from Clayton Copula. The results show that maximum temperature is
significantly associated with the Covid-19 pandemic. Based on clayton copula model, the small
parameters indicate small dependencies between Covid-19 and maximum temperature. |
