TY - JOUR
TI - Penerapan Principal Component Analysis untuk Mereduksi Dimensi Data Penerapan Teknologi Informasi dan Komunikasi untuk Pendidikan di Sekolah
AU - Wulandari, Diah Wulandari
IS - Vol 6, No 2 (2016): Volume 6 Nomor 2 Tahun 2016
PB - Magister Sistem Informasi
JO - JURNAL SISTEM INFORMASI BISNIS
PY - 2016
UR - http://ejournal.undip.ac.id/index.php/jsinbis/article/view/11803
AB - 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.