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 and Damayanti, Virga and Ningsih Apusing, Arditya Sulistya and Sigandhia, Alsya Putri and Gamayanti, Nurul Fiskia (2023) 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.]. 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)

Abstract

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.

Metadata

Item Type: Book Section
Creators:
Creators
Email / ID Num.
Immanuel Kontoro, Paskal Immanuel Kontoro
paskalimmanuel280302@gmail.com
Damayanti, Virga
virghadamayanti26@gmail.com
Ningsih Apusing, Arditya Sulistya
ardityasulistya6@gmail.com
Sigandhia, Alsya Putri
sigandhiaal@gmail.com
Gamayanti, Nurul Fiskia
nurulfiskia@gmail.com
Contributors:
Contribution
Name
Email / ID Num.
Patron
Md Badarudin, Ismadi
UNSPECIFIED
Advisor
Jasmis, Jamaluddin
UNSPECIFIED
Advisor
Jono, Mohd Hajar Hasrol
UNSPECIFIED
Director
Suhaimi, Nur Suhailayani
UNSPECIFIED
Team Member
Mat Zain, Nurul Hidayah
UNSPECIFIED
Team Member
Abdullah Sani, Anis Shobirin
UNSPECIFIED
Team Member
Halim, Faiqah Hafidzah
UNSPECIFIED
Team Member
Abd Kadir, Siti Aisyah
UNSPECIFIED
Team Member
Jalil, Ummu Mardhiah
UNSPECIFIED
Subjects: T Technology > T Technology (General) > Information technology. Information systems
Divisions: Universiti Teknologi MARA, Melaka > Jasin Campus > Faculty of Computer and Mathematical Sciences
Event Title: International Jasin Multimedia & Computer Science Invention and Innovation Exhibition (i-JaMCSIIX 2023)
Event Dates: 8th November 2023
Page Range: pp. 138-141
Keywords: Central Sulawesi Province; Average Linkage Method; Principal component analysis; Poverty level
Date: 2023
URI: https://ir.uitm.edu.my/id/eprint/94375
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