Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal RAGAM: Journal of Statistics and Its Application
Deandra Sakirah Putri
Universitas Indonesia
Humanities Computer Science & IT Economics, Econometrics & Finance Mathematics Public Health

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
MODELING FACTORS THAT INFLUENCE POVERTY LEVEL IN SUMATERA USING SPATIAL REGRESSION MODELS Yekti Widyaningsih; Deandra Sakirah Putri
RAGAM: Journal of Statistics & Its Application Vol 5, No 2 (2026): RAGAM: Journal of Statistics & Its Application
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ragam.v5i2.18241

Abstract

Poverty is a condition of a person's inability to fulfill basic needs such as food, clothing, shelter, school and health. Poverty is still a major unresolved problem in Indonesia, including the island of Sumatra. Based on BPS data in 2022, the number of poor people in Sumatera is the second after Java. This research was conducted with the aim of analyzing the factors that explain the level of poverty in Sumatera. The method that will be used is spatial regression modeling, including the General Nested Spatial Model (GNSM), Spatial Autoregressive Model (SAR), Spatial Error Model (SEM) and Spatial Autoregressive and Moving Average Model (SARMA). The dependent variable is Poverty Level (Miskin) and the independent variables include Population Density (KP), Average Years of Schooling (RLS), Human Development Index (IPM), Open Unemployment Rate (TPT) and Regency Minimum Wage (UMK). Based on the result of this study, the Spatial Autoregressive and Moving Average Model is the best model, with the smallest AIC value, namely 305.32. The only factor that has a significant influence on the poverty level is the Human Development Index (IPM).
Co-Authors Yekti Widyaningsih