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Journal > JURNAL SISTEM INFORMASI BISNIS > Penerapan Principal Component Analysis untuk Mereduksi Dimensi Data Penerapan Teknologi Informasi dan Komunikasi untuk Pendidikan di Sekolah

 

JURNAL SISTEM INFORMASI BISNIS
Vol 6, No 2 (2016): Volume 6 Nomor 2 Tahun 2016
Penerapan Principal Component Analysis untuk Mereduksi Dimensi Data Penerapan Teknologi Informasi dan Komunikasi untuk Pendidikan di Sekolah
Article Info   ABSTRACT
Published date:
26 Dec 2016
 
The purpose of this research is analysis the most influence variable of ICT for education implementation in schools. Principal Component Analysis using linear algebra to reduce data dimension with interconnected variable become new dataset with unconnected variable, that called principal component(PC). PC is used to save and calculate how much correlation within varian. The ICT data of schools is grouped into five group based on reference domain of ICT for education indicator by UIS 2009. This group is used as input for PCA algorithm and produce principal component. PC Analysis produce five variable with the most influence based on their domain, there are mean hour for individual using of ICT in curicculum domain, existence school in internet in infrastructure domain, learner proportion in using computer laboratory for learning in teacher development domain, learner propostion that computer basic skill course in participation domain.
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