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 |
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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 |