Article Per Year (5 Year)
p-Index From 2021 - 2026
0
P-Index
This Author published in this journals
All Journal PROSIDING SEMINAR NASIONAL Jurnal Statistika Universitas Muhammadiyah Semarang
Lia Miftakhul Janah
Unknown Affiliation
Decision Sciences, Operations Research & Management Education

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : PROSIDING SEMINAR NASIONAL

 1 
PERBANDINGAN METODE GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) DAN ORDINARY LEAST SQUARE (OLS) DALAM PEMODELAN KETIMPANGAN DI PROVINSI JAWA TENGAH Lia Miftakhul Janah; Tiani Wahyu Utami
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: Prosiding Seminar Nasional Pendidikan, Sains dan Teknologi
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (471.375 KB)

Abstract

nequality is a state where there is an imbalance between each other. Inequality indicates the unevenness of development that runs in an area.In Central Java, the problem of inequality among people still exists in daily life. Geographically Weight Regression method is a method that yields model parameter estimators that have localized properties at each point or location. While OrdinaryLeast Square method is a linear regression that doesn’t have territorial element. In this study aims to modeling the inequality problem that occurred in Central Java using Geographically Weight Regression method that has the nature of localization at the point and Ordinary Least Square method. Data taken from Central Statistics Agency (BPS) 2015. Through Geographically Weight Regression method can be concluded that 2 variables effect on imbalance with α 10% is variable of Total population (0,4078) and Labor (0,9502) . While the influential OLSmethod is the Human DevelopmentIndex and Averageper-capita expendixture.  AIC value of GWRis smaller than OLS Method (93.45184<105.1492)Which is mean GWR methodbetter than OlS in modelling inequality at Central Java.Keywords: Inequality, GWR,OLS
GEOGRAPHICALLY WEIGHT REGRESSION APPLICATIONS FOR SPATIAL ANALYSIS OF INEQUALITY IN CENTRAL JAVA Lia Miftakhul Janah; M. Saifudin Nur; Tiani Wahyu Utami
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: Proceeding 3rd ISET 2017 | International Seminar on Educational Technology 3rd 2017
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (657.247 KB)

Abstract

Inequality is a state where there is an imbalance between each other. Inequality indicates the unevenness ofdevelopment that runs in an area. In Central Java, the problem of inequality among people still exists in daily life.Geographically Weight Regression method is a method that yields model parameter estimators that have localizedproperties at each point or location. In this study aims to modeling the inequality problem that occurred in CentralJava using Geographically Weight Regression method that has the nature of localization at the point. Data takenfrom Central Statistics Agency (BPS) 2015. Through Geographically Weight Regression method can beconcluded that with OLS method got 2 variables effect on imbalance wit h α 10% is variable of HDI  (IPM) andPDRB. While the influential GWR method is the number of population and the amount of labor. While goodnessof fit test showed there is no difference between GWR model and OLS model or in other words there is no spatialeffect in the imbalance analysis in Central Java Province (0.4976 <0.1).Keywords: inequality, GWR,Spatial
Co-Authors M. Saifudin Nur Maharani Andini Tiani Wahyu Utami Widia Istiqomah