Anita Saragih - Academia.edu (original) (raw)

Anita Saragih

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Papers by Anita Saragih

Research paper thumbnail of Clusterization of Region in South Sumatera Based on COVID-19 Case Data

BAREKENG: Jurnal Ilmu Matematika dan Terapan

Based on Covid-19 case data as of July 2022, South Sumatra Province has the 15th highest rank out... more Based on Covid-19 case data as of July 2022, South Sumatra Province has the 15th highest rank out of 34 provinces in Indonesia, with confirmed cases totalling 82,407. This showed that the spread of Covid-19 in South Sumatra was still high. This study aimed to determine the cluster of regions in South Sumatra based on Covid-19 case data. Clustering regions used agglomerative hierarchical method. The process began with standardizing the data, calculating the similarity distance between objects, determining the optimal number of clusters using the Silhouette method, and the last was clustering analysis. This study found that the optimal number of clusters consisted of two clusters. The clustering process starts with objects 2 and objects 4 because these two objects have the closest similarity distance. In conclusion, objects with the closest similarity distance (in one cluster) have the same data movement (fluctuation).

Research paper thumbnail of Clusterization of Region in South Sumatera Based on COVID-19 Case Data

BAREKENG: Jurnal Ilmu Matematika dan Terapan

Based on Covid-19 case data as of July 2022, South Sumatra Province has the 15th highest rank out... more Based on Covid-19 case data as of July 2022, South Sumatra Province has the 15th highest rank out of 34 provinces in Indonesia, with confirmed cases totalling 82,407. This showed that the spread of Covid-19 in South Sumatra was still high. This study aimed to determine the cluster of regions in South Sumatra based on Covid-19 case data. Clustering regions used agglomerative hierarchical method. The process began with standardizing the data, calculating the similarity distance between objects, determining the optimal number of clusters using the Silhouette method, and the last was clustering analysis. This study found that the optimal number of clusters consisted of two clusters. The clustering process starts with objects 2 and objects 4 because these two objects have the closest similarity distance. In conclusion, objects with the closest similarity distance (in one cluster) have the same data movement (fluctuation).

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