Staff View: Clustering regencies/cities in Central Sulawesi Province based on poverty level using the average linkage method with Principal Component Analysis (PCA) / Paskal Immanuel Kontoro … [et al.]

Clustering regencies/cities in Central Sulawesi Province based on poverty level using the average linkage method with Principal Component Analysis (PCA) / Paskal Immanuel Kontoro … [et al.]

Poverty is a chronic problem that has haunted Indonesia throughout its history and become a central focus of national development because poverty is the root of various problems. In 2022, Central Sulawesi is one of Indonesia's ten provinces with the highest percentage of poor people. To determi...

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Main Authors:	Immanuel Kontoro, Paskal Immanuel Kontoro, Damayanti, Virga, Ningsih Apusing, Arditya Sulistya, Sigandhia, Alsya Putri, Gamayanti, Nurul Fiskia
Format:	Book Section
Language:	English
Published:	Faculty of Computer and Mathematical Sciences 2023
Subjects:	Information technology. Information systems
Online Access:	https://ir.uitm.edu.my/id/eprint/94375/1/94375.pdf https://ir.uitm.edu.my/id/eprint/94375/
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id	my.uitm.ir.94375
record_format	eprints
spelling	my.uitm.ir.943752024-05-02T03:20:02Z https://ir.uitm.edu.my/id/eprint/94375/ Clustering regencies/cities in Central Sulawesi Province based on poverty level using the average linkage method with Principal Component Analysis (PCA) / Paskal Immanuel Kontoro … [et al.] Immanuel Kontoro, Paskal Immanuel Kontoro Damayanti, Virga Ningsih Apusing, Arditya Sulistya Sigandhia, Alsya Putri Gamayanti, Nurul Fiskia Information technology. Information systems Poverty is a chronic problem that has haunted Indonesia throughout its history and become a central focus of national development because poverty is the root of various problems. In 2022, Central Sulawesi is one of Indonesia's ten provinces with the highest percentage of poor people. To determine poverty alleviation policies on target, the Government needs to pay attention to the characteristics of each region because it has different characteristics. Therefore, this research aims to group 13 regencies and cities in Central Sulawesi based on poverty levels in 2022 using the Average Linkage method with Principal Component Analysis (PCA) to support the government's efforts to reduce poverty rates. The factors used in measuring poverty levels as a basis for grouping are the number of poor people, poverty depth index, human development index, Gini ratio, poverty severity index, and open unemployment rate. Two clusters were formed from the results of this research. The first cluster is the cluster with the highest poverty rate, which consists of 12 regencies, namely Banggai Kepulauan, Banggai Laut, Tojo Una-Una, Buol, Morowali Utara, Parigi Moutong, Banggai, Poso, Donggala, Toli-Toli, Morowali, and Sigi. Meanwhile, the second cluster has the lowest poverty level, consisting of one city, Palu City. Faculty of Computer and Mathematical Sciences 2023 Book Section NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/94375/1/94375.pdf Clustering regencies/cities in Central Sulawesi Province based on poverty level using the average linkage method with Principal Component Analysis (PCA) / Paskal Immanuel Kontoro … [et al.]. (2023) In: International Jasin Multimedia & Computer Science Invention and Innovation Exhibition (i-JaMCSIIX 2023). Faculty of Computer and Mathematical Sciences, Kampus Jasin, pp. 138-141. ISBN 978-967-15337-0-3 (Submitted)
institution	Universiti Teknologi Mara
building	Tun Abdul Razak Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Mara
content_source	UiTM Institutional Repository
url_provider	http://ir.uitm.edu.my/
language	English
topic	Information technology. Information systems
spellingShingle	Information technology. Information systems Immanuel Kontoro, Paskal Immanuel Kontoro Damayanti, Virga Ningsih Apusing, Arditya Sulistya Sigandhia, Alsya Putri Gamayanti, Nurul Fiskia Clustering regencies/cities in Central Sulawesi Province based on poverty level using the average linkage method with Principal Component Analysis (PCA) / Paskal Immanuel Kontoro … [et al.]
description	Poverty is a chronic problem that has haunted Indonesia throughout its history and become a central focus of national development because poverty is the root of various problems. In 2022, Central Sulawesi is one of Indonesia's ten provinces with the highest percentage of poor people. To determine poverty alleviation policies on target, the Government needs to pay attention to the characteristics of each region because it has different characteristics. Therefore, this research aims to group 13 regencies and cities in Central Sulawesi based on poverty levels in 2022 using the Average Linkage method with Principal Component Analysis (PCA) to support the government's efforts to reduce poverty rates. The factors used in measuring poverty levels as a basis for grouping are the number of poor people, poverty depth index, human development index, Gini ratio, poverty severity index, and open unemployment rate. Two clusters were formed from the results of this research. The first cluster is the cluster with the highest poverty rate, which consists of 12 regencies, namely Banggai Kepulauan, Banggai Laut, Tojo Una-Una, Buol, Morowali Utara, Parigi Moutong, Banggai, Poso, Donggala, Toli-Toli, Morowali, and Sigi. Meanwhile, the second cluster has the lowest poverty level, consisting of one city, Palu City.
format	Book Section
author	Immanuel Kontoro, Paskal Immanuel Kontoro Damayanti, Virga Ningsih Apusing, Arditya Sulistya Sigandhia, Alsya Putri Gamayanti, Nurul Fiskia
author_facet	Immanuel Kontoro, Paskal Immanuel Kontoro Damayanti, Virga Ningsih Apusing, Arditya Sulistya Sigandhia, Alsya Putri Gamayanti, Nurul Fiskia
author_sort	Immanuel Kontoro, Paskal Immanuel Kontoro
title	Clustering regencies/cities in Central Sulawesi Province based on poverty level using the average linkage method with Principal Component Analysis (PCA) / Paskal Immanuel Kontoro … [et al.]
title_short	Clustering regencies/cities in Central Sulawesi Province based on poverty level using the average linkage method with Principal Component Analysis (PCA) / Paskal Immanuel Kontoro … [et al.]
title_full	Clustering regencies/cities in Central Sulawesi Province based on poverty level using the average linkage method with Principal Component Analysis (PCA) / Paskal Immanuel Kontoro … [et al.]
title_fullStr	Clustering regencies/cities in Central Sulawesi Province based on poverty level using the average linkage method with Principal Component Analysis (PCA) / Paskal Immanuel Kontoro … [et al.]
title_full_unstemmed	Clustering regencies/cities in Central Sulawesi Province based on poverty level using the average linkage method with Principal Component Analysis (PCA) / Paskal Immanuel Kontoro … [et al.]
title_sort	clustering regencies/cities in central sulawesi province based on poverty level using the average linkage method with principal component analysis (pca) / paskal immanuel kontoro … [et al.]
publisher	Faculty of Computer and Mathematical Sciences
publishDate	2023
url	https://ir.uitm.edu.my/id/eprint/94375/1/94375.pdf https://ir.uitm.edu.my/id/eprint/94375/
_version_	1800100601180192768
score	13.211869

Clustering regencies/cities in Central Sulawesi Province based on poverty level using the average linkage method with Principal Component Analysis (PCA) / Paskal Immanuel Kontoro … [et al.]

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