Geographically weighted regression in the analysis of the development of information and communication technology in Indonesia
Pushpita Dwi, Sari
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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.
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.