Cluster Analysis of Covid-19 in Indonesia Using K-means Method

These days technology are rapidly increasing and developing in various fields, especially data storage. The information that has been stored a database usually called dataset. Covid-19 is new type of respiratory disease attacks the system with rapid transmission, followed by number cases continues to increase every day all provinces Indonesia. This study aims cluster spread province Indonesia using obtained from website named kaggle many variables. method used this research K-Means. From variables data, for only 3 were taken, which are: Number Recovery, Deaths, total Cases then will be applied K-Means formed provincial groups. By clustering K-means algorithm, can carried out find characteristics distribution each looking at best clusters.