This study uses a quantitative research design using official statistical data from BPS and related governments, to cluster 19 districts/cities of the Covid-19 pandemic areas into 4 areas, as well as to analyze a dendrogram hierarchical clustering within the regional scope of South Sulawesi Province. We also examine the hierarchical clustering of info-demics with the economic, health, social and demographic characteristics of districts/cities nexus. Observing this situation, we conduct a study to cluster the risk of handling Covid-19 in terms of pandemic statistics (total cumulative cases, patients recovered, patients died, and patients treated) in entirelt districts and municipality of South Sulawesi Provinces. Also, this province shows the positive rate and death rate due to Covid-19 increases daily. Recently, South Sulawesi Province is one of the five provinces with a high positive rate of Covid-19 in Indonesia.
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