PENERAPAN METODE K-MEANS CLUSTER UNTUK EKSPLORASI DATA KASUS COVID-19 DI KABUPATEN OGAN ILIR

VERANICA, ELSA and Cahyawati S, Dian and Zayanti, Des Alwine (2022) PENERAPAN METODE K-MEANS CLUSTER UNTUK EKSPLORASI DATA KASUS COVID-19 DI KABUPATEN OGAN ILIR. Undergraduate thesis, Sriwijaya University.

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Abstract

APPLICATION OF THE K-MEANS CLUSTER METHOD FOR DATA EKSPLORATION OF COVID-19 CASES IN OGAN ILIR REGENCY ELSA VERANICA NIM. 08011381722106 ABSTRACT This study aims to obtain clusters of the characteristics of COVID-19 data in Ogan Ilir Regency and identify the characteristics of the clusters formed based on the level of distribution of COVID-19 case data in Ogan Ilir Regency. The research method used is Non-Hierarchical Cluster Analysis with the K-Means Cluster method. The data analyzed is secondary data on COVID-19 cases in Ogan Ilir Regency with sixteen sub-districts in the period August 2020 to March 2021. The categories of COVID-19 cases analyzed were Symptomatic Asymptomatic Cases, Recovered Patients, Patients Died, Patients Still In Treatment, Independently Isolating Patients, and Total Population in Ogan Ilir Regency. The results of the study show that the distance of each data object with the cluster center point in the 1st and 2nd iterations is getting minimum, this is influenced by the average value at the center point of the new cluster which is getting smaller. The closest distance from Indralaya District to centroid 1 is 967.1 , the closest distance to South Indralaya District with centroid 2 is 149.1 , and the closest distance to South Pemulutan District with centroid 3 is 2,795.33. Based on this, the sixteen sub-districts in Ogan Ilir Regency can be grouped into three clusters based on the value of the closest distance from each data object to the cluster center point. The categories of each cluster member formed are cluster 1, consisting of five sub-districts with high COVID-19 case data, having an average of 16 symptomatic cases and the largest population with an average population of 44,037 people, cluster 2 consists of five sub-districts with moderate COVID-19 case data, with an average of 3 symptomatic cases and a large population with an average population of 22,500 people, cluster 3 consists of six sub-districts with low COVID-19 case data, with an average symptomatic case of 1 case and the least number of residents with an average population of 15,392. Keywords: Analisis Cluster Non-Hierarki, K-Means Cluster, COVID-19 case, Ogan Ilir Regency.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Analisis Cluster Non-Hierarki, K-Means Cluster, kasus COVID-19, Kabupaten Ogan Ilir.
Subjects:	Q Science > QA Mathematics > QA273-280 Probabilities. Mathematical statistics
Divisions:	08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1)
Depositing User:	Mrs. ELSA VERANICA ELSA
Date Deposited:	25 Aug 2022 08:44
Last Modified:	25 Aug 2022 08:44
URI:	http://repository.unsri.ac.id/id/eprint/77141

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