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All Journal CCIT (Creative Communication and Innovative Technology) Journal
Muhammad Faisal
Raharja University
Computer Science & IT

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Application of Data Mining Using the K-Medoids Algorithm for Poverty Index Clustering Muhammad Faisal; Wiranti Sri Utami
CCIT Journal Vol 15 No 2 (2022): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (607.466 KB) | DOI: 10.33050/ccit.v15i2.2311

Abstract

Poverty index is a term for measuring poverty, this is done by a government agency or commonly referred to as the Central Statistics Agency (BPS). The poverty index or poverty rate is the percentage of the population in a province who is below the poverty line, which is the minimum in obtaining an adequate standard of living. In the government's efforts to reduce the level of poverty in a province, the government often provides special assistance programs for people belonging to the poverty line. Based on the explanations that have been discussed, a conclusion can be drawn. This research can be done using the Data Mining technique to group the total Poverty Index by Province in Indonesia using the K-Medoids Algorithm, then by determining the Clusters randomly. The results of this study are expected to assist the government in providing assistance to the affected population below the poverty line.
Co-Authors Wiranti Sri Utami