Klasterisasi Penyebaran Virus Corona (Covid-19) Di Indonesia Menggunakan Metode K-Means

Abstract

Coronavirus Disease 2019 (COVID-19) or commonly called the Corona virus is a new virus that was first confirmed to appear on December 31, 2019. In Indonesia, all of its 34 provinces have confirmed positive cases of the virus. In this study, clustering of the spread of COVID-19 was carried out as an input for the government for a better, focused handling of COVID-19 for all provinces in Indonesia. Clustering is carried out based on the parameters of total positive cases, total cases of death, Recovery Index, Case Fatality Ratio, tracking and isolation ratio, total cases of people under surveillance completed, cumulative total cases of patients under surveillance, population density, and poverty line. In this study, K-means method was used to cluster data. Based on the Elbow test, the recommended number of clusters is three, which can be translated as high, medium, and low risk clusters. The results of this study are expected to be a comparison to updated data, as well as consideration for the government's better performance in handling COVID-19 more effectively and efficiently. Keywords: COVID-19, clustering, K-means

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