PENERAPAN DATA MINING TERHADAP DATA COVID-19 MENGGUNAKAN ALGORITMA KLASIFIKASI

Coronavirus 2019 or more commonly referred to as COVID-19 is a type of virus that attacks the respiratory system. Until now number spread and deaths caused by this continues increase. As April 21, 2020, based on data from WHO, total cases infected with reached 2,397,217 162 all over world. For South Korea itself, March was 10,683 237 deaths. In study, researchers conducted processing in Rapidminer using classification algorithm, namely Naïve Bayes, C4.5, K-Nearest Neighbor performing stages selection, preprocessing, transfotmating, mining interpretation evaluating quality best accuracy 80.79% AUC 0.881 achieved Bayes algorithm. The distribution found influential attribute isolated class factor patient contained sex where women experienced isolation. Keywords— COVID-19, mining, classification, K-NN