PEMODELAN INDEKS PEMBANGUNAN MANUSIA DI PROVINSI JAWA TENGAH TAHUN 2017 MENGGUNAKAN ANALISIS REGRESI SPASIAL

  • Wahyuni Alwi Universitas Jenderal Soedirman
  • Jajang Jajang Universitas Jenderal Soedirman
  • Nunung Nurhayati Universitas Jenderal Soedirman

Abstract

This research discussed about model of Human Development Index (HDI) in Central Java with spatial regression analysis. and identify  variables that give significant influence. First, analyze the influence factors based on result of p-value from t test in multiple linear regression models. Then, made spatial weight matrix with queen continguity method. After that, estimate spatial regression models, namely spatial autoregressive (SAR), Spatial error models (SEM), and spatial autoregive moving average (SARMA) and  choose the best model based on minimum AIC value. The results showed that SAR was the best spatial regression model and the significant variables was the gross enrollment rates at senior high schools, the health workers, and the district minimum wages. All of them that give positive influences. The variable that give biggest influence for HDI was the health workers.


Full Article

Published
2020-05-18
How to Cite
ALWI, Wahyuni; JAJANG, Jajang; NURHAYATI, Nunung. PEMODELAN INDEKS PEMBANGUNAN MANUSIA DI PROVINSI JAWA TENGAH TAHUN 2017 MENGGUNAKAN ANALISIS REGRESI SPASIAL. JURNAL ILMIAH MATEMATIKA DAN PENDIDIKAN MATEMATIKA, [S.l.], v. 11, n. 1, p. 45-58, may 2020. ISSN 2550-0422. Available at: <http://jos.unsoed.ac.id/index.php/jmp/article/view/1936>. Date accessed: 07 july 2020. doi: https://doi.org/10.20884/1.jmp.2020.12.1.1936.