One of the biggest contributions in a country is from various public activities until the world faces the COVID-19 pandemic in early 2020. Several countries issued new policies in dealing with the COVID-19 pandemic. However, problems arise when the form of policy taken by several countries restricts public activities. This study aims to identify what policies are implemented in various countries using the C4.5 Algorithm. The steps of the C4.5 Algorithm method are data selection, data preprocessing, entropy calculations and information gain, decision tree making, and finally, data classification. The decision tree results explain that the most widely implemented policies in various countries are limited interactions, then closed school and closed public places policies. Activities prohibited in various countries by existing policies are mass gathering, the opening of public places, and activities that invite crowds. The results are expected to make the public more aware of complying with health by looking at the impact of COVID-19 in various countries based on accurate data.

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