Jurnal Informasi dan Teknologi
2022, Vol. 4, No. 4

Pengelompokan Daerah Rawan Demam Berdarah Dengan Metode K-Means Clustering

Sri Handani Widiastuti (Sekolah Tinggi Teknologi Bontang)
Rio Jumardi (Sekolah Tinggi Teknologi Bontang)



Article Info

Publish Date
31 Dec 2022

Abstract

The Dengue fever is a disease found in tropical and subtropical regions that is transmitted through the bite of the Aedes aegypti mosquito. Dengue fever is still a serious problem for public health in the city of Bontang. For that we need a system that can classify the areas of spread of dengue fever in the city of Bontang. The K-Means Clustering algorithm is a non-hierarchical data clustering algorithm that partitions data into one or more clusters or groups so that data with the same characteristics are grouped into the same cluster. To classify areas in the city of Bontang into three clusters, namely Sporadic, Potential, and Endemic. Three villages were selected as the centroid of each cluster, Bontang Kuala as the centroid of the sporadic cluster, Telihan as the centroid of the potential cluster, and Tanjung Laut as the centroid of the Endemic cluster. Village data, cluster data, and centroid data are processed using the K-Means Clustering algorithm, and application testing using Black Box Testing. The results of the application using the clustering method obtained information that there were five villages for sporadic clusters, five villages for potential clusters, and five villages for endemic clusters from a total of 15 villages used as samples for environmental health by the Bontang City Health Service.

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Journal Info

Abbrev

jidt

Publisher

Subject

Computer Science & IT

Description

Jurnal Informasi & Teknologi media kajian ilmiah hasil penelitian, pemikiran dan kajian analisis-kritis mengenai penelitian Rekayasa Sistem, Teknik Informatika/Teknologi Informasi, Manajemen Informatika dan Sistem Informasi. Sebagai bagian dari semangat menyebarluaskan ilmu pengetahuan hasil dari ...