CLUSTERIZATION OF REGION IN SOUTH SUMATERA BASED ON COVID-19 CASE DATA
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 Sout...
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Universitas Pattimura
2023-09-01
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| Series: | Barekeng |
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| Online Access: | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/7828 |
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| author | Anita Saragih Dian Cahyawati Sukanda Ning Eliyati |
| author_facet | Anita Saragih Dian Cahyawati Sukanda Ning Eliyati |
| author_sort | Anita Saragih |
| collection | DOAJ |
| description | 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). |
| format | Article |
| id | doaj-art-e1342eae80184dc5af9a12e6c8ca9aa4 |
| institution | Kabale University |
| issn | 1978-7227 2615-3017 |
| language | English |
| publishDate | 2023-09-01 |
| publisher | Universitas Pattimura |
| record_format | Article |
| series | Barekeng |
| spelling | doaj-art-e1342eae80184dc5af9a12e6c8ca9aa42025-08-20T03:37:33ZengUniversitas PattimuraBarekeng1978-72272615-30172023-09-011731257126410.30598/barekengvol17iss3pp1257-12647828CLUSTERIZATION OF REGION IN SOUTH SUMATERA BASED ON COVID-19 CASE DATAAnita Saragih0Dian Cahyawati Sukanda1Ning Eliyati2Department of Mathematics and Natural Science, Sriwijaya University, IndonesiaDepartment of Mathematics and Natural Science, Sriwijaya University, IndonesiaDepartment of Mathematics and Natural Science, Sriwijaya University, IndonesiaBased 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).https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/7828agglomerative methodcluster analysiscovid-19silhouttesouth sumatera |
| spellingShingle | Anita Saragih Dian Cahyawati Sukanda Ning Eliyati CLUSTERIZATION OF REGION IN SOUTH SUMATERA BASED ON COVID-19 CASE DATA Barekeng agglomerative method cluster analysis covid-19 silhoutte south sumatera |
| title | CLUSTERIZATION OF REGION IN SOUTH SUMATERA BASED ON COVID-19 CASE DATA |
| title_full | CLUSTERIZATION OF REGION IN SOUTH SUMATERA BASED ON COVID-19 CASE DATA |
| title_fullStr | CLUSTERIZATION OF REGION IN SOUTH SUMATERA BASED ON COVID-19 CASE DATA |
| title_full_unstemmed | CLUSTERIZATION OF REGION IN SOUTH SUMATERA BASED ON COVID-19 CASE DATA |
| title_short | CLUSTERIZATION OF REGION IN SOUTH SUMATERA BASED ON COVID-19 CASE DATA |
| title_sort | clusterization of region in south sumatera based on covid 19 case data |
| topic | agglomerative method cluster analysis covid-19 silhoutte south sumatera |
| url | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/7828 |
| work_keys_str_mv | AT anitasaragih clusterizationofregioninsouthsumaterabasedoncovid19casedata AT diancahyawatisukanda clusterizationofregioninsouthsumaterabasedoncovid19casedata AT ningeliyati clusterizationofregioninsouthsumaterabasedoncovid19casedata |