Geographically weighted regression in the analysis of the development of information and communication technology in Indonesia

Date Issued
2018-11-30Author(s)
Pushpita Dwi, Sari
Jamilatuzzahro
Kanabar, Vijay
Metadata
Show full item recordPermanent Link
https://hdl.handle.net/2144/38494Version
Accepted manuscript
Citation (published version)
Sari Pushpita Dwi, Jamilatuzzahro, Vijay Kanabar. 2018. "Geographically Weighted Regression in the Analysis of the Development of Information and Communication Technology in Indonesia." Computer Science and Education in Computer Science (CSECS). Computer Science & Education in Computer Science (CSECS). Boston, 2018-06-29 - 2018-07-02.Abstract
The main purpose of this paper was to analyze the development of Information and Communication Technology (ICT) in Indonesia with Geographically Weighted Regression (GWR) to enable the identification of the variability of regression coefficients in the geographical. The study has been conducted using the statistical data for 33 provinces in Indonesia. There were 3 independent variables defined during this study as factors that influence the development of ICT in Indonesia: location, economic prosperity, and education, and internet users in Indonesia has been defined as dependent variable. The result of this research shown the highly correlation between those three independent variables toward defined dependent variable shown by the value of R square of 0.7310782 which means the dependent variable can be well explained by independent variables.
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