Coronavirus Diseases 2019 or better known as Covid-19 is a case of pneumonia of unknown cause which was first discovered at the end of December 2019 in Wuhan City, China. When infecting humans, this virus causes respiratory infections such as the flu. The purpose of this study was to analyze data on Covid-19 cases to find out the grouping of Covid-19 case problems in Lampung Province. The grouping of data on Covid-19 cases in Lampung Province was carried out using the Clustering method with the K-Means algorithm with the attributes of Regency/City, Suspected, Probable, Positive Confirmation, Completed Isolation, and Death used in the calculation process and divided the data into 4 clusters categorized as Red Zone, Orange Zone, Yellow Zone, and Green Zone. And validation using Davies-Bouldin Index (DBI). The results of DBI validation using manual calculations and using the help of RapidMiner tools have differences, in this case, manual calculations have better results than using RapidMiner tools, but the results of both calculations are both close to 0 which means the evaluated clusters produce good clusters.

Keywords: Covid-19, Clustering, k-Means, Davies-Bouldin Index (DBI)