Using the Geographically Weighted Regression (GWR) Method to Find Out the Factors Causing Poverty in North Sumatra Province

Hilda Pradina Faradiba; aditya syaiful dhuhri

doi:10.62951/ijsme.v1i1.13

Authors

Hilda Pradina Faradiba
aditya syaiful dhuhri

DOI:

https://doi.org/10.62951/ijsme.v1i1.13

Keywords:

Poverty, Geographically Weighted Regression (GWR, North Sumatra Province, Factors Causing Poverty, Spatial Analysis

Abstract

Poverty is a complex problem that affects various aspects of life in various regions. In this study, we use the Geographically Weighted Regression (GWR) method to identify factors that cause poverty in North Sumatra Province. This approach allows a more detailed analysis of the relationship between independent variables and poverty levels in each geographic location. We use socio-economic and spatial data to build GWR models and identify possible hidden patterns in the distribution of poverty. The findings from this research provide valuable insights for stakeholders to formulate more effective policies in overcoming poverty in North Sumatra Province.

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