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@article{J.Gauss5902, author = {Catra Aji and Moch. Mukid and Hasbi Yasin}, title = {ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI LAJU PERTUMBUHAN PENDUDUK KOTA SEMARANG TAHUN 2011 MENGGUNAKAN GEOGRAPHICALLY WEIGHTED LOGISTIC REGRESSION}, journal = {Jurnal Gaussian}, volume = {3}, number = {2}, year = {2014}, keywords = {PGR; Logistic Regression; GWLR; Bisquare Kernel; Gaussian Kernel; AIC}, abstract = {Geographically Weighted Logistic Regression (GWLR) is a local form of logistic regression where geographical factors considered and it is assumed that the Bernoulli distribution of data used to analyze spatial data from non-stationary processes. This research will determine the factors that affect the Population Growth Rate (PGR) in the Semarang city using logistic regression and GWLR with a weighting function of bisquare kernel and gaussian kernel. The result showed that GWLR model with a weighting function of bisquare kernel better than logistic regression model and GWLR model with a weighting function of gaussian kernel because it has the smallest AIC value and classification accuracy is 87,5%. Factor that have significant effect is the number of couples of childbearing age in the Semarang city.}, issn = {2339-2541}, pages = {161--171} doi = {10.14710/j.gauss.3.2.161 - 171}, url = {https://ejournal3.undip.ac.id/index.php/gaussian/article/view/5902} }
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