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All Journal Jurnal Matematika UNAND Jurnal Forum Analisis Statistik
Ummi Rahimah
Universitas Tanjungpura
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics

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Distribution of Poverty in West Kalimantan Ummi Rahimah
Jurnal Forum Analisis Statistik Vol. 3 No. 1 (2023): Jurnal Forum Analisis Statistik (FORMASI)
Publisher : Badan Pusat Statistik Provinsi Kalimantan Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57059/formasi.v3i1.42

Abstract

Poverty in each region is caused by various factors. Therefore, the initial step in overcoming it can be grouping regions based on their characteristics. In this study, an analysis was carried out using all provinces in Indonesia and after that, the urban districts in West Kalimantan province were grouped with urban districts from other provinces in cluster 1. The indicators used in this study were the percentage of poor people, poverty severity index, depth index poverty, human development index, expected length of schooling, average length of schooling, and adjusted per capita expenditure. This study uses k-means clustering analysis. The results of phase 1 research obtained 3 clusters of poverty levels, namely cluster 1 is a medium poverty rate of 26 provinces, cluster 2 is a high poverty rate of 5 provinces, and cluster 3 is a low poverty rate of 5 provinces. The results of phase 3 research obtained 3 clusters of poverty levels, namely Cluster 1 is a moderate poverty rate of 65 urban regencies, cluster 2 is a high poverty rate of 103 urban regencies, and Cluster 3 is a low poverty rate of 224 urban regencies.
K-Means Cluster with Calinski Harabasz Index Evaluation to Map Forest Degradation and Deforestation Areas Ummi Rahimah; Shantika Martha; Nurfitri Imro'ah
Jurnal Matematika UNAND Vol. 15 No. 2 (2026)
Publisher : Departemen Matematika dan Sains Data FMIPA Universitas Andalas Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jmua.15.2.237-248.2026

Abstract

Although Indonesia is home to a rich biodiversity, the country is threatenedby forest degradation and deforestation, particularly in West Kalimantan. As asignificant contributor to the agricultural sector’s gross domestic product (PDRB), the Sanggau Regency is vital for preserving the environment and promoting sustainable development. This research uses the K-Means Cluster to categorize regions in Sanggau that can potentially experience forest degradation. Then, the Calinski Harabasz Index will be used to determine which clusters are the most effective. Two thousand twentythree, the research findings revealed five ideal clusters, each with a Calinski Harabasz Index value of 3.87. The first cluster consists of one sub-district, the second cluster consists of three sub-districts, the third cluster consists of two sub-districts, the fourth cluster consists of five sub-districts, and the fifth cluster consists of four sub-districts, which are all included in the distribution of clusters. A map illustrating the degree of urgency associated with forest degradation is produced as a result of this study. The map serves as a strategic reference for the government of Sanggau in its efforts to reduce theforest’s degradation and develop areas per the peculiarities of each sub-districts.
Co-Authors Nurfitri Imro’ah Shantika Martha