Institutional Quality Index Based On Accreditation Dimensions

Abstract

This study is a quantitative research employing big data mining. Results from accreditation of the 52 academic programs covering ten (10) dimensions or areas are utilized. Principal Components Analysis (PCA) is used to cluster ten accreditation dimensions into three principal components namely: Academic and governance aspect which is PC1 includes vision, mission, goals, and objectives, faculty, curriculum and instruction, research, extension and community involvement, and administration; Support system aspect which is PC2 covers support to students, physical plant and facilities, and laboratories; Knowledge pool aspect which is PC3 comprises library. With these three principal components, the institutional quality index which can determine educational institution quality level is established.