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Spatial Analysis of The Number of Poor Population in East Java Province In 2023 Rajagukguk, Marlon Brando
Educational Studies and Research Journal Vol. 1 No. 1 (2024): Educational Studies and Research Journal
Publisher : MID Publisher International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60036/cmmtm190

Abstract

Poverty has many important influences in a country because of the broad and complex impact it has on individuals, society, and the economy as a whole. The use of spatial analysis techniques in the context of poverty is important to understand the spatial distribution and factors related to economic inequality in the region. The aim of this research is to descriptively analyze the regional interrelationships of the Open Unemployment Rate (TPT), Human Development Index (HDI) and Number of Poor People variables, as well as analyzing inferentially to determine variables that significantly influence the Number of Poor People. The spatial analysis method used in This research involves descriptive and analysis methods Ordinary Least Squares (OLS). From this research it is concluded that the variables TPT, HDI and Number of Poor Population are related between regions because they have a Moran's I Index > 0. In the OLS Analysis it can be concluded that the variable Number of Poor Population can be influenced statistically significantly by the variables Open Unemployment Rate and Human Development Index Abstract is a summary of an article written in one paragraph. Maximum 200 words. The abstract must contain background and objectives, methods, results and conclusions.
Tantangan Menuju Masyarakat Inklusif: Apakah Ketimpangan Ekonomi dan Korupsi Mengancam Hak Asasi Manusia? Putri, Nimas Ayu Eka; Oktaviana, Siska Wahyu; Rajagukguk, Marlon Brando; Kartiasih, Fitri
Jurnal Humaniora : Jurnal Ilmu Sosial, Ekonomi dan Hukum Vol 9, No 1 (2025): April 2025
Publisher : Center for Research and Community Service (LPPM) University of Abulyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30601/humaniora.v9i1.6384

Abstract

Economic inequality and political corruption are two structural issues that significantly affect the protection of human rights, particularly in developing countries such as Indonesia. Economic inequality, characterized by unequal income distribution and limited access to basic services, exacerbates the vulnerability of marginalized communities. Meanwhile, political corruption undermines democratic institutions, fosters injustice, and restricts public access to fundamental rights. This study aims to analyze the impact of economic inequality and political corruption on the Human Rights Index (HRI) in Indonesia during the period 1993–2023 using the Error Correction Model (ECM) approach. The results indicate that both in the short and long term, economic inequality measured by the Gini Coefficient and political corruption levels significantly contribute to the decline in HRI. In the long term, a 1% increase in the Gini Coefficient reduces the HRI by 0.59%, while a 1% rise in the Political Corruption Index lowers the HRI by 5.68%. This study underscores the importance of inclusive and transparent institutional reforms to address these structural challenges and improve the protection of human rights in Indonesia.