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All Journal WELFARE Jurnal Ilmu Ekonomi Jurnal REP (Riset Ekonomi Pembangunan)
Radiwan, Radiwan
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Economics, Econometrics & Finance

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Pengaruh Dependency Ratio, Indeks Pembangunan Manusia, Pengangguran dan Sanitasi terhadap Kemiskinan di Jawa Tengah Tirtana, Dodi; Radiwan, Radiwan; Arief, Hanief
WELFARE Jurnal Ilmu Ekonomi Vol 5, No 2 (2024): November
Publisher : Jurusan Ekonomi Pembangunan, Fakultas Ekonomi, Universitas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/wlfr.v5i2.14354

Abstract

This study aims to analyse the effect of dependency ratio, human development index, unemployment, and sanitation on the poverty rate in Central Java. The data for this study is secondary data obtained from the Central Bureau of Statistics based on districts and cities in Central Java in 2023. To analyse the relationship between variables, this study uses multiple linear regression method with cross-section data. The results of the analysis show that the dependency ratio has a significant positive effect on the poverty rate. The Human Development Index shows a significant negative effect on poverty, which means that improving the quality of education, health, and people's standard of living can reduce the poverty rate. However, unemployment and health variables do not show a significant effect on poverty in Central Java. These findings provide important implications for policymakers, particularly regarding the role of the dependency ratio. Policies need to be directed at improving people's financial literacy so that they are not overly dependent on the productive age in retirement. Thus, the risk of the sandwich generation can be minimized, and people's welfare in the future can be improved. Penelitian ini bertujuan untuk menganalisis pengaruh dependency ratio (rasio ketergantungan), indeks pembangunan manusia, pengangguran, dan sanitasi terhadap tingkat kemiskinan di Jawa Tengah. Data penelitian ini merupakan data sekunder yang diperoleh dari Badan Pusat Statistik berdasarkan kabupaten dan kota di Jawa Tengah pada tahun 2023. Untuk menganalisis hubungan antar variabel, penelitian ini menggunakan metode regresi linier berganda dengan data cross-section. Hasil analisis menunjukkan bahwa dependency ratio memiliki pengaruh positif signifikan terhadap tingkat kemiskinan. Indeks Pembangunan Manusia menunjukkan pengaruh negatif signifikan terhadap kemiskinan, yang berarti peningkatan kualitas pendidikan, kesehatan, dan standar hidup masyarakat dapat mengurangi tingkat kemiskinan. Namun, variabel pengangguran dan kesehatan tidak menunjukkan pengaruh yang signifikan terhadap kemiskinan di Jawa Tengah. Penemuan ini memberikan implikasi penting bagi pembuat kebijakan, khususnya terkait peran dependency ratio. Kebijakan perlu diarahkan untuk meningkatkan literasi keuangan masyarakat agar mereka tidak terlalu bergantung pada usia produktif di masa pensiun. Dengan demikian, risiko generasi sandwich dapat diminimalkan, dan kesejahteraan masyarakat di masa depan dapat ditingkatkan.
PUBLIC POLICY WITH AI: THE ROLE OF ARTIFICIAL INTELLIGENCE IN THE POLICY PROCESS Arief, Hanief; Radiwan, Radiwan; Karnadi, Karnadi; Choiruddin, Choiruddin; Muzakir, M Athar; Chairu, Trida
Jurnal REP (Riset Ekonomi Pembangunan) Vol. 10 No. 1 (2025): April 2025
Publisher : Universitas Tidar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31002/rep.v10i1.2596

Abstract

This research examines the role of artificial intelligence (AI) in public policy through a literature study approach. The background of the research is based on the rapid development of digitalization and the increasing need for innovation in governance. AI, as a data analysis and prediction tool, has the potential to improve the quality of decision-making and the efficiency of public administration. This study identifies various AI implementations in the health, transportation, and public service sectors in several countries, highlighting benefits such as improved service effectiveness and operational optimization. However, AI implementation also poses ethical challenges such as algorithmic bias, privacy issues, and lack of transparency in the decision-making process. The discussion in this study addresses policy recommendations to address these challenges as well as a comparison of AI adoption in developed and developing countries, providing insights into best practices and anticipated barriers. The research concludes that responsible AI adoption, supported by comprehensive regulation and capacity building of the apparatus, can significantly transform public policy.
Pengaruh Dependency Ratio, Indeks Pembangunan Manusia, Pengangguran dan Sanitasi terhadap Kemiskinan di Jawa Tengah Tirtana, Dodi; Radiwan, Radiwan; Arief, Hanief
WELFARE Jurnal Ilmu Ekonomi Vol 5, No 2 (2024): November
Publisher : Jurusan Ekonomi Pembangunan, Fakultas Ekonomi, Universitas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/wlfr.v5i2.12939

Abstract

This study aims to analyse the effect of dependency ratio, human development index, unemployment, and sanitation on the poverty rate in Central Java. The data for this study is secondary data obtained from the Central Bureau of Statistics based on districts and cities in Central Java in 2023. To analyse the relationship between variables, this study uses multiple linear regression method with cross-section data. The results of the analysis show that the dependency ratio has a significant positive effect on the poverty rate. The Human Development Index shows a significant negative effect on poverty, which means that improving the quality of education, health, and people's standard of living can reduce the poverty rate. However, unemployment and health variables do not show a significant effect on poverty in Central Java. These findings provide important implications for policymakers, particularly regarding the role of the dependency ratio. Policies need to be directed at improving people's financial literacy so that they are not overly dependent on the productive age in retirement. Thus, the risk of the sandwich generation can be minimized, and people's welfare in the future can be improved.Penelitian ini bertujuan untuk menganalisis pengaruh dependency ratio (rasio ketergantungan), indeks pembangunan manusia, pengangguran, dan sanitasi terhadap tingkat kemiskinan di Jawa Tengah. Data penelitian ini merupakan data sekunder yang diperoleh dari Badan Pusat Statistik berdasarkan kabupaten dan kota di Jawa Tengah pada tahun 2023. Untuk menganalisis hubungan antar variabel, penelitian ini menggunakan metode regresi linier berganda dengan data cross-section. Hasil analisis menunjukkan bahwa dependency ratio memiliki pengaruh positif signifikan terhadap tingkat kemiskinan. Indeks Pembangunan Manusia menunjukkan pengaruh negatif signifikan terhadap kemiskinan, yang berarti peningkatan kualitas pendidikan, kesehatan, dan standar hidup masyarakat dapat mengurangi tingkat kemiskinan. Namun, variabel pengangguran dan kesehatan tidak menunjukkan pengaruh yang signifikan terhadap kemiskinan di Jawa Tengah. Penemuan ini memberikan implikasi penting bagi pembuat kebijakan, khususnya terkait peran dependency ratio. Kebijakan perlu diarahkan untuk meningkatkan literasi keuangan masyarakat agar mereka tidak terlalu bergantung pada usia produktif di masa pensiun. Dengan demikian, risiko generasi sandwich dapat diminimalkan, dan kesejahteraan masyarakat di masa depan dapat ditingkatkan. 
Co-Authors Arief, Hanief Chairu, Trida Choiruddin, Choiruddin Dodi Tirtana Karnadi, Karnadi Muzakir, M Athar