CLUSTERING TARAF KESEJAHTERAAN KABUPATEN/KOTA DI INDONESIA MENGGUNAKAN KOMBINASI METODE K-MEANS DAN HIERARCHICAL CLUSTERING

SHAFRULLAH, MUHAMMAD and Rodiah, Desty and Rini, Dian Palupi (2020) CLUSTERING TARAF KESEJAHTERAAN KABUPATEN/KOTA DI INDONESIA MENGGUNAKAN KOMBINASI METODE K-MEANS DAN HIERARCHICAL CLUSTERING. Undergraduate thesis, Sriwijaya University.

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Abstract

The problem of people's welfare is a problem that must be faced by developing countries like Indonesia. Many indicators influence the level of people's welfare. Therefore, it is necessary to group districts / cities to assist in policy making. This study uses a combination of K-means and Hierarchical clustering methods. K-means has the ability to classify large amounts of data with relatively fast and efficient computation time. However, the results of K-means clustering are highly dependent on the initial center of the cluster. Therefore, the K-means method is combined with Hierarchical clustering to determine the initial center of the cluster. The results of grouping will be evaluated using the Davies Bouldin Index (DBI) and the Silhouette Index (SI). The DBI value of the combination of K-means and Hierarchical clustering has the lowest value of 0.51 with 9 clusters compared to only using the K-means method of 0.58 with 7 clusters. The SI value of the combination of K-means and Hierarchical clustering has the highest value of 0.92 with 9 clusters compared to only using the K-means method of 0.89 with 7 clusters.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Kesejahteraan kabupaten/kota, Clustering, Hierarchical, K-means, Davies Bouldin Index, Silhouette Index.
Subjects:	Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA76.9.D343 Data mining. Database searching. Big data. T Technology > T Technology (General) > T1-995 Technology (General)
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Users 9398 not found.
Date Deposited:	04 Jan 2021 05:47
Last Modified:	04 Jan 2021 05:47
URI:	http://repository.unsri.ac.id/id/eprint/39137

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