Modeling of Poverty Levels on the Island of Sumatra Using Spatial Autoregressive
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The purpose of this research is to determine the relationship between the poverty level in another province that is adjacent to the Sumatra island. The data was obtained from the Central Bureau of Statistics. The method used is Spatial Autoregressive (SAR). This model shows the relationship between areas that are close to each other and also describes how influential a causal factor variable is to the poverty rate. Based on the Moran Index, it is shown that adjacent provinces have similar poverty scores and Human Development Index (HDI) values. In the model, a significant variable was obtained: Mean Years of School (MYS) and Human Development.
Baihaqi & Syardiansah. (2019). The Effectiveness of DP3AKB's Revolving Business Capital Provision to Poor Women's Business Groups in East Aceh Regency. 10(2): 112–123.
Bintang, ABM & Woyanti, N. (2018). MEDIA ECONOMICS AND MANAGEMENT Vol. 33 No. 1 January 2018. Media Economics and Management, 33(1): 20–28.
Djuraidah, Anik & Wigena, Hamim. (2012). Spatial Regression to Determine Poverty Factors in East Java Province. Statistics, 12(1): 1–8.
Fajriawati. (2016). The Impact of the Economy on the Poor in the Fishermen's Village, Medan Labuhan District. Journal of Economists, 16(2): 1–13. https://doi.org/10.30596/ekonomikawan.v16i2.942
Hernawati, R & Ardiansyah, M.Y. (2018). Analysis of the Spatial Pattern of Dengue Hemorrhagic Fever in the City of Bandung Using the Moran Index. Journal of Green Engineering, 1(3): 221–232. https://doi.org/10.26760/jrh.v1i3.1774
Lokang, Y. P., & Dwiatmoko, I. A. (2019). Durbin's spatial regression analysis to analyze factors related to the percentage of the poor population. Scientific Journal of MATRIC, 21(2), 118–127.
Mariana. (2013). Spatial Regression Approach in Modeling Open Unemployment Rate. Journal of Mathematics and Learning 2013, 1(1): 42–63.
Novita, UD & Istiqamah, N. (2017). The Influence of GDP, Education and Unemployment on Poverty in Sambas Regency. Journal of Motivational Management, 13(1): 815. https://doi.org/10.29406/jmm.v13i1.539
Novitasari, D & Khikmah, L. (2019). Application of Spatial Regression Model to Human Development Index (HDI) in Central Java in 2017. STATISTICS Journal of Theoretical Statistics and Its Applications, 19(2): 123–134. https://doi.org/10.29313/jstat.v19i2.5068
Putri, A, Sanusi, W, & Sukarna, S. (2018). Spatial Regression Model and Its Application in the Case of Poverty Level in Soppeng Regency. Indonesian Journal of Fundamental Sciences, 4(2): 102. https://doi.org/10.26858/ijfs.v4i2.7638
Rahmadeni, R. (2020). Autoregressive Spatial Model (SAR) on Poverty Level (Case Study: Riau Province). Journal of Mathematical and Statistical Sciences, 6(2): 61–72. https://doi.org/10.24014/jsms.v6i2.10530
Ratifah, L, Pratiwi, H & Respatiwulan. (2019). Poverty Analysis in East Java Province Using the Durbin Spatial Regression Model Approach. M14.
