CD Skripsi

Analisis Spasial Tingkat Kesejahteraan Di Indonesia Menggunakan Geographically Weighted Logistic Regression

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Geographically Weighted Logistic Regression (GWLR) is a method of combining Geographically Weighted Regression (GWR) with logistic regression which is applied to spatial data. The purpose of human development index (HDI) research is the GWLR model on community welfare status data and find factors that influence the possibility of increasing the welfare status of each in the Province of Indonesia 2019. The variables used are number, rate of GRDP, PMW and LFPR. In the response variable, the level of welfare as measured by the human development index (HDI) is in the binary category, namely 0 and 1 following the Bernoulli distribution. The results showed that the GWLR model with the Adaptive Gaussian Kernel function was better than the logistic regression model with the smallest Akaike Information Criterion (AIC) of 37.97.
Keyword: Human Development Index (HDI), Geographically Weighted Logistic Regression (GWLR), Akaike Information Criterion (AIC).

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

1703111529

Penerbit

Pekanbaru : Universitas Riau –FMIPA–STATISTIK., 2022

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

1703111529

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

STATISTIK

Info Detail Spesifik

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Pernyataan Tanggungjawab

nadya

Versi lain/terkait

Lampiran Berkas

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