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Destri Susilaningrum
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SIMULTANEOUS SPATIAL OF POVERTY AND HDI USING GS2SLS Nur Jihan Salsabiila; Dwi Endah Kusrini; Nur Azizah; Destri Susilaningrum
Media Bina Ilmiah Vol. 17 No. 12: Juli 2023
Publisher : LPSDI Bina Patria

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Abstract

The SDGs program encourages change towards sustainable development which makes poverty alleviation the main goal. Poverty is a person's inability to meet the minimum standard of living that hinders the welfare of an individual. The benchmark for welfare is the Human Development Index (HDI). It is suspected that there are spatial influences between regions because, in terms of territoriality, the province of East Java has similarities in the value of the percentage of poor people and HDI in nearby areas. Poverty and HDI and vice versa have a relationship that affects each other, so modeling is done with a system of simultaneous similarities. This work used a queen contiguity weight matrix and the Generalized Spatial Two Stage Least Squares (GS2SLS) approach to analyze spatial simultaneous equations. This method can cope with autocorrelation and heteroskedasticity. The data used are the percentage of poor people and HDI as well as variables from previous studies that are thought to significantly affect poverty and HDI in 38 Regencies/Cities of East Java in 2019. The results showed that there was a negative reciprocal relationship between the percentage of poor people and HDI. The spatial effect is positive and significant on the HDI variables with GS2SLS Spatial Autoregressive (SAR) modeling, while the percentage of poor people without spatial effects is so modeled with Two Stage Least Square (2SLS). HDI and GRDP growth rates significantly affect the percentage of poor people, while HDI is significantly influenced by the percentage of poor people and population density.
Assessing the Impact of Household Socioeconomic Factors on Clean and Healthy Living Behaviors with Binary Logistic Regression: A Study in Probolinggo Regency Nafis, Moch Abdillah Nafis; Destri Susilaningrum; Brodjol Ulama; Dwi Endah Kusrini
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 25 No. 04 (2024): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol25-iss04/539

Abstract

CHLB is a measure of livability in society. A high CHLB indicates a society that lives well. However, there is a problem in the probolinggo district that needs more effective public health interventions because of the area's fast population growth and a noticeable increase in infectious diseases. The adoption of Clean and Healthy Living Behaviors (CHLB) by Probolinggo district is the main focus of this study to find out who is still living below the applicable eligibility standards. In order to minimize the spread of infectious diseases and enhance general public health in Probolinggo Regency, policymakers and healthcare professionals are anticipated to find great value in the study's findings. It also examines the use of binary logistic regression with binary transformation all categorical variables as a supplemental technique for managing complex data relationships and enhancing predictive accuracy. In addition to addressing the pressing issues in public health, this study advances our knowledge of the socioeconomic factors that influence health in rural Indonesia.
Co-Authors Brodjol Ulama Dwi Endah Kusrini Nafis, Moch Abdillah Nafis Nur Azizah Nur Jihan Salsabiila