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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic JSI: Jurnal Sistem Informasi (E-Journal) Prosiding Semnastek Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Informatika Information System for Educators and Professionals : Journal of Information System Informatics for Educators and Professional : Journal of Informatics Information Management For Educators And Professionals (IMBI) JISICOM (Journal of Information System, Infomatics and Computing) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Jurnal Infortech Jurnal Digit : Digital of Information Technology IMTechno: Journal of Industrial Management and Technology Jupiter Journal of Computer & Information Technology Paradigma INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System
Adjat Sudradjat
Universitas Bina Sarana Informatika
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Industrial & Manufacturing Engineering Library & Information Science Other

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Classifying Half-Unemployment Levels in Indonesian Provinces: A K-Means Approach for Informed Policy Decisions Suhardjono Suhardjono; Hari Sugiarto; Dewi Yuliandari; Adjat Sudradjat; Luthfia Rohimah
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 11 No 2 (2023): September 2023
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v11i2.7390

Abstract

Half-level unemployment refers to individuals who work part-time and are not fully employed. Increasing the half-poverty rate from year to year can lead to challenges in the lives of these individuals. The issue arising with the rise in the half-poverty rate is the government's difficulty in prioritizing areas that require intervention to address these problems. Consequently, an increase in the half-poverty rate can have adverse consequences. Therefore, it is necessary to categorize underemployment rate data obtained from public sources, specifically from data.go.id, using the widely recognized clustering method known as K-Means. The purpose of this categorization is to identify and classify provinces with a significant prevalence of half-poverty levels. This classification will assist the government in making informed decisions when addressing individuals who meet the half-poverty criteria. The results were obtained by grouping the data from the first to the eighteenth iteration into three categories: 'large' (C1), 'medium' (C2), and 'small' (C3) in terms of half-poverty levels. Group C1 comprises 17 provinces with a high half-poverty rate, while C2 includes only 2 provinces, and C3 covers 16 provinces with a significant half-poverty rate. Based on these findings, it is advisable for the Indonesian government to consider implementing policies aimed at reducing the poverty level by half. Priority should especially be given to the C1 group when creating employment opportunities for the province's residents
Co-Authors Anna Mukhayaroh Ayu Giska Pradini Cicilia Regita Valent Cicilia Regita Valent Dewi Yuliandari Gilang Purnama Adji Hafis Nurdin Hari Sugiarto - UBSI Henny Destiana Ishak Komarudin ispandi ispandi Ispandi Ispandi, Ispandi Maisyaroh Mellani Ardiyanti Neorau Miwan Kurniawan Hidayat Muhamad Sodiqin Nika Aditia Noer hikmah Rachman Komarudin Rahdian Kusuma Atmaja Rahmayanti Yulia Retno Sari Rino Ramadan Rohimah, Luthfia Sefenizka, Aprilah Amira Selviana Selviana Suhardjono S Tiara Teja Wahid, Bilal Abdul Wina Widiati Yopi Handrianto, Yopi