Penerapan Data Mining dalam Mengelompokkan Jumlah Kematian Penderita COVID-19 Berdasarkan Negara di Benua Asia

Abstract

COVID-19 is caused by SARS-CoV-2, a new type of virus from coronavirus (a group of viruses that infects the respiratory system). Corona virus infections can cause mild to moderate respiratory infections, such as flu, or respiratory and lung system infections, such as pneumonia. The rise of the spread of diseases caused by the COVID-19 virus which has been established as a pandemic by WHO on March 12, 2020, due to the COVID-19 virus many patients who have contracted have died. In classifying the number of deaths of patients with Covid-19 using data mining techniques k-means clustering method. Data is taken from the link https://www.worldometers.info/coronavirus/. The results of this study are the cluster number of deaths of patients with Covid-19 into 3 clusters. there are 4 countries with high level clusters, namely: Turkey, Iran, India and China with medium level clusters as many as 4 countries namely: Pakistan, Indonesia, Japan, and the Philippines and with low clusters are 41 other countries.