POVERTY IN EAST KOTAWARINGIN REGENCY: SPATIAL DISTRIBUTION PATTERNS AND VARIATIONS IN CAUSAL FACTORS
Keywords:
Cluster Analysis, AnalysisLand Use Development, Poverty, Spatially Targeted PolicyAbstract
Poverty is the oldest and most difficult problem to overcome to this day, and so far the resolution of poverty problems still ignores the spatial aspects that can be seen in the uniform application of poverty alleviation programs. Currently, East Kotawaringin Regency ranks first in terms of the number of poor people in Central Kalimantan Province at 30,328 people and there is no measurable information and analysis on the characteristics of poverty that are a problem in East Kotawaringin Regency. From these conditions, it is necessary to study the identification of poverty clusters in Kabupaten Kotawaringin Timur and the condition of the dominance of land use in the poverty clusters that are formed. In an effort to study poverty clusters in Kabupaten Kotawaringin Timur, cluster analysis is used with a level of data detail up to the individual level which will then be aggregated into spatial aspects at the village scale. The results of the multicollinearity test showed that the Variance Inflation Factor (VIF) value of the variables Number of household members, source of clean water, source of lighting energy, defecation facilities, number of bicycles and household welfare status showed a number below 0.05 and through the results of cluster analysis, poverty in East Kotawaringin Regency was divided into 3 clusters, the first cluster with low poverty characteristics with difficult access to basic facilities and sanitation dominated by large-scale plantation land use of 214. 070.08 hectares, the second cluster with moderate poverty characteristics with a high dependency burden dominated by dense forest land use covering 445,093.85 hectares and the third cluster with high poverty characteristics with low welfare levels dominated by dense forest land use covering 78,661.08 hectares.
Downloads
References
Al Amin, Muchammad, And Dwi Juniati. 2021. “Analisis Klaster Data Pendidikan Kota Surabaya Tahun 2022-2023.” Jurnal Ilmiah Matematika 9(2): 437–46. https://media.neliti.com/media/publications/249234-model-infeksi-hiv-dengan-pengaruh-percob-b7e3cd43.pdf.
Feng, Dedong, Yanfeng Jiang, Hualou Long, And Yingqian Huang. 2024. “Spatio-Temporal Patterns And Correlation Effects Of Regional Rurality And Poverty Governance Change: A Case Study Of The Rocky Desertification Area Of Yunnan-Guangxi-Guizhou, China.” Habitat International 146(September 2023): 103044. https://doi.org/10.1016/j.habitatint.2024.103044.
Hasibuan, Sarah, And Mutia Harum Hasibuan. 2021. “Pemetaan Efek Spasial Kemiskinan Seluruh Kabupaten Di Indonesia.” Reksabumi 1(1): 17–31.
Iswardhana, Muhammad Ridha, And Attina Maulidia Selma Attamimi. 2023. “Efektivitas Penerapan Kebijakan Otonomi Daerah Dalam Penurunan Tingkat Kemiskinan Di Bandung Barat Tahun 2019.” Jurnal Dinamika Pemerintahan 6(2): 108–26. http://jurnal.univrab.ac.id/index.php/jdp/article/view/3776.
Kadek, Ni Et Al. 2024. “Identifikasi Pola Spasial Dan Autokorelasi Spasial Pada Data Kemiskinan Di Provinsi Lampung Tahun 2022.” 06(02): 15443–52.
Leonita, Livia, Natanael Haposan Jeby, Sevien, And Margaretha Ohyver. 2023. “Predicting Cancer Death Rate And Determining The Major Cause Of Cancer Using Ridge Regression.” Procedia Computer Science 227: 599–605. https://doi.org/10.1016/j.procs.2023.10.563.
Liang, Yutian, Shangqian Li, Jiaqi Zeng, And Tianbang Wu. 2022. “Examining The Impact Of Multidimensional Accessibility On Regional Poverty In Laos.” Applied Geography 148(September): 102789. https://doi.org/10.1016/j.apgeog.2022.102789.
Lincoln, Yvonna S., Egon G. Guba, And Joseph J. Pilotta. 1985. Naturalistic Inquiry. Beverly Hills, Ca: Sage, Thousand Oaks.
Mayasari, Septiana Nurdias, And Jaka Nugraha. 2023. “Implementasi K-Means Cluster Analysis Untuk Mengelompokkan Kabupaten/Kota Berdasarkan Data Kemiskinan Di Provinsi Jawa Tengah Tahun 2022.” Konstelasi: Konvergensi Teknologi Dan Sistem Informasi 3(2): 317–29.
Nalle, Frederic Winston, Sirilius Seran, And Fransiskus Bria. 2022. “Poverty Analysis Determinant In East Nusa Tenggara Province (Analisis Determinan Kemiskinan Propinsi Nusa Tenggara Timur).” Jurnal Samudra Ekonomi Dan Bisnis 13(2): 206–20.
Onsay, Emmanuel A., And Jomar F. Rabajante. 2024. “Measuring The Unmeasurable Multidimensional Poverty For Economic Development: Datasets, Algorithms, And Models From The Poorest Region Of Luzon, Philippines.” Data In Brief 53: 110150. https://doi.org/10.1016/j.dib.2024.110150.
Pratiwi, Sekar, And Lutfi Setianingrum. 2022. “Pola Spasial Dan Tren Kemiskinan Di Indonesia Tahun 2015-2020.” Jurnal Perencanaan Dan Pengembangan Kebijakan 2(3): 220.
Sheyoputri, Aylee Ch. A. 2016. Mengenal Dan Memahami Kemiskinan. https://repository.unibos.ac.id/xmlui/bitstream/handle/123456789/5938/mengenal dan memahami kemiskinan _compres.pdf?sequence=1&isallowed=y.
Yuhan, Risni Julaeni, And Jeffry Raja Hamonangan Sitorus. 2018. “Metode Geographically Weighted Regression Pada Karakteristik Penduduk Hampir Miskin Di Kabupaten/Kota Pulau Jawa.” E-Journal Widya Eksakta 1(1): 41–47. https://e-journal.jurwidyakop3.com/index.php/ejournal-eksakta/article/view/272.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Evan, Doddy Aditya Iskandar

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
By Submitting your manuscript to our journal, your are following Copyright & License
.jpg)