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All Journal Journal of Advanced in Information and Industrial Technology (JAIIT)
Nabilla Hannah Wardani
Telkom University, Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Econometric Analysis of Poverty and Economic Welfare as Predictors of Criminal Activity in Indonesia Kurnia Qurrotul A’yun; Azzah Sumaiyah; Nabilla Hannah Wardani; Shinta Devi Arsy Zelika; Arip Ramadan; Alhassan Sesay
Journal of Advances in Information and Industrial Technology Vol. 8 No. 1 (2026): May
Publisher : LPPM Telkom University Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/jaiit.v8i1.773

Abstract

Criminal activity is defined as a violation of legal mandates and societal standards that triggers communal instability and economic detriment. To address this challenge, identifying the core determinants of such behavior is essential, which this study achieves through a multiple regression methodology. The empirical results demonstrate that Gross Domestic Product (GDP), poverty demographics, per capita spending, and the Human Development Index (HDI) collectively exert a significant influence on national crime rates. This integrated model accounts for 0,775 of the observed variances, as evidenced by the  value. Individually, higher levels of GDP, poverty, and HDI correlate with increased criminality, whereas improved per capita expenditure serves as a restrictive factor. These outcomes underscore the necessity of prioritizing welfare enhancement and poverty alleviation within national crime prevention frameworks.
Co-Authors Alhassan Sesay Arip Ramadan Azzah Sumaiyah Kurnia Qurrotul A’yun Shinta Devi Arsy Zelika