Objectives: This study aimed to find evidence on the effects of climatological parameters (temperature, rainfall, and humidity) on the cumulative cases of COVID-19 in Indonesia.

Methods: The daily climatological data and confirmed COVID-19 cases were recorded from March 1^st to August 31^st, 2020. The correlation analysis was performed with Pearson’s Correlation Coefficient by using a Statistical Package for the Social Sciences.

Results: Indonesia has recorded more than 1,315 confirmed COVID-19 cases in almost all provinces during the dry season (March to August 2020). As of August 31^st, 2020, the five highest cumulative COVID-19 cases were recorded from DKI Jakarta, Jawa Timur, Sulawesi Selatan, Jawa Barat, and Jawa Tengah Provinces. During the first six months of the pandemic, Indonesia had temperatures ranging 25.99-29.02^oC, humidity of 76.43-87.35%, and rainfall of 2.91-18.81 mm³ per month.

Conclusion: The temperature parameter showed a strong negative correlation with the cumulative confirmed COVID-19 cases. Meanwhile, the humidity and rainfall parameters presented a very strong negative correlation. This study’s findings can help the Government to predict the progression of the COVID-19 pandemic over the coming months in Indonesia.