Application of Clayton Copula to identify dependency structure of Covid-19 outbreak and average temperature in Jakarta Indonesia

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