TY  - THES
N1  - Pembimbing: Dr. Epha Diana Supandi, S.Si., M.Sc. dan Sri Istiyarti Uswatun Chasanah, M.Si.
ID  - digilib64968
UR  - https://digilib.uin-suka.ac.id/id/eprint/64968/
A1  - Alfiyah Nurjannah, NIM.: 20106010012
Y1  - 2024/03/07/
N2  - The employment size in Indonesia, particularly in Central Java Province, exhibits significant disparities between job opportunities with population and workforce, resulting in spatial heterogeneity. Spatial heterogeneity occurs because the same independent variables can have different impacts at different observation locations. A method that can be used to modeling data with spatial heterogeneity is MGWR MGWR combines global linear regression with local GWR. This research aims to identify the factors and the best model affecting employment size in Central Java Province in 2022 using the MGWR method employing fixed and adaptive bisquare kernel weighting functions involving UMK, IPM, population size, PDRB, and unemployment rate as independent variables. The optimal model was obtained with MGWR using the adaptive bisquare kernel weighting function with an
PB  - UIN SUNAN KALIJAGA YOGYAKARTA
KW  - Mixed Geographically Weighted Regression (MGWR)
KW  -  Heterogenitas Spasial
KW  -  Penyerapan Tenaga Kerja
M1  - skripsi
TI  - PERBANDINGAN MODEL MIXED GEOGRAPHICALLY WEIGHTED REGRESSION (MGWR) DENGAN FUNGSI PEMBOBOT FIXED DAN ADAPTIVE BISQUARE KERNEL
AV  - restricted
EP  - 188
ER  -