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Kesejahteraan Indonesia: Analisis Faktor-Faktor Yang Mempengaruhi Indeks Pembangunan Manusia Wijaya, Hutama; Ahmad, Abdul Aziz; Gunawan, Ratna Setyawati
Arus Jurnal Sosial dan Humaniora Vol 5 No 2: Agustus (2025)
Publisher : Arden Jaya Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57250/ajsh.v5i2.1451

Abstract

Penelitian ini di latar belakangi oleh melambatnya pertumbuhan Indeks Pembangunan Manusia (IPM) di Indonesia dari tahun 1998 hingga 2023, yang mengindikasikan adanya perlambatan kinerja ekonomi. Penelitian ini bertujuan untuk mengetahui pengaruh variabel bebas yang terdiri dari emisi karbon dioksida, tenaga kerja perempuan, dan tingkat pengangguran terhadap variabel terikat indeks pembangunan manusia. Pendekatan kuantitatif digunakan dengan menggunakan analisis regresi linier berganda. Hasil penelitian ini menunjukkan bahwa, secara parsial, emisi karbon dioksida berpengaruh negatif dan signifikan terhadap indeks pembangunan manusia, tenaga kerja perempuan berpengaruh positif dan signifikan terhadap indeks pembangunan manusia, tingkat pengangguran berpengaruh negatif dan signifikan terhadap indeks pembangunan manusia. Variabel bebas emisi karbon dioksida, tenaga kerja perempuan, dan tingkat pengangguran secara simultan berpengaruh terhadap indeks pembangunan manusia.
Analisis Pengaruh Korupsi Terhadap Kemiskinan Di Indonesia Selama Periode 2001-2021 Hamida, Safira; Ahmad, Abdul Aziz
Lingka Ekonomika Vol 4 No 1 (2025)
Publisher : Fakultas Ekonomi dan Bisnis Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32424/jle.v4i1.17419

Abstract

This study examines the impact of corruption on poverty in Indonesia during the period 2001–2021, while considering other macroeconomic variables such as the Human Development Index (HDI), unemployment, and inflation. Using secondary data, the research applies multiple linear regression. The results reveal that corruption has a positive and significant effect on poverty. Conversely, HDI has a negative and significant effect, showing that improved human development reduces poverty. Unemployment also shows a positive relationship with poverty, while inflation has a weaker but still positive impact. These findings underscore the importance of anti-corruption measures, investments in human capital, job creation policies, and inflation control to effectively reduce poverty in Indonesia.
Analisis Pengaruh Korupsi Terhadap Kemiskinan Di Indonesia Selama Periode 2001-2021 Hamida, Safira; Ahmad, Abdul Aziz
Lingka Ekonomika Vol 3 No 2 (2024)
Publisher : Fakultas Ekonomi dan Bisnis Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32424/jle.v3i2.18217

Abstract

Penelitian ini menganalisis pengaruh korupsi terhadap kemiskinan di Indonesia selama periode 2001–2021, dengan mempertimbangkan variabel makroekonomi lain seperti Indeks Pembangunan Manusia (IPM), pengangguran, dan inflasi. Menggunakan data sekunder, penelitian ini menggunakan regresi linier berganda. Hasil penelitian menunjukkan bahwa korupsi berpengaruh positif dan signifikan terhadap kemiskinan. Sebaliknya, IPM berpengaruh negatif dan signifikan. Pengangguran berpengaruh positif terhadap kemiskinan, sementara inflasi berpengaruh positif namun relatif lemah. Temuan ini menegaskan pentingnya kebijakan pemberantasan korupsi, investasi pada kualitas sumber daya manusia, penciptaan lapangan kerja, dan pengendalian inflasi untuk menurunkan kemiskinan di Indonesia.
SPATIAL ANALYSIS OF INCOME INEQUALITY IN INDONESIA Gunawan, Diah Setyorini; Ahmad, Abdul Aziz; Gunawan, Ratna Setyawati
Jurnal REP (Riset Ekonomi Pembangunan) Vol. 10 No. 2 (2025): October 2025
Publisher : Universitas Tidar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31002/rep.v10i2.2938

Abstract

This study seeks to analyze the spatial dimension of income inequality in Indonesia.  This study was conducted by comparing the spatial dimension of income inequality in Indonesia in 2019 with the spatial dimension of income inequality in Indonesia in 2024. This study can provide an overview of income inequality over the last 5 years, before the Covid-19 pandemic and after the recovery period from the impact of the Covid-19 pandemic. The similarities with previous research is found in the area of focus. Meanwhile, the differences lies on the analysis method used. The data used in this study is the value of Gini Ratio for 2019 period and 2024 period. Analysis method used includes geographic information system analysis and Moran index analysis.  The finding of this study is from the mapping with using geographic information system analysis, it can be seen that the provinces with the highest income inequality in 2019 period did not necessarily have high income inequality in 2024 period. Conversely, the provinces with the lowest income inequality in 2019 period did not necessarily have low income inequality in 2024 period.  The analysis result of Moran index in 2019 period and 2024 period indicated positive and significant value of Moran index.  Positive and significant value of Moran index meant that there were clustered areas which have the same characteristic. Policy implication of this study is that, collaboration across levels of government and a focus on strategic infrastructure, education, and improving the distribution of social assistance.