Poverty Mapping in Central Java Province Using K-Means Algorithm

Deden Istiawan(1*)


(1) Akademi Ilmu Statistika Muhammadiyah Semarang
(*) Corresponding Author

Abstract


Prosperity has a relative, dynamic, and quantitative meaning. Until now, the formula is not finished because it will continue to grow along with the times. Public welfare is a condition where all citizens are always in a condition that is completely adequate in all their needs. Poverty in Central Java Province is still above national poverty. Poverty grouping is one way to focus on the people's budget in each region so that they can take development policies and strategies that are right on target and effective. In this study, the proposed K-means algorithm for classifying poverty in Central Java is based on poverty indicators. The results of the first cluster study consisted of 22 districts / cities with the category of not poor, the second cluster consisted of 13 districts / cities that were categorized as poor.

Keywords


Properity; Central Java; Clustering; K-means.

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References


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DOI: https://doi.org/10.26714/jichi.v1i1.5380

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Journal of Intelligent Computing and Health Informatics (JICHI)
ISSN 2715-6923 (print) | 2721-9186 (online)
Organized by
Department of Informatics
Faculty of Engineering
Universitas Muhammadiyah Semarang

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