Citra Kurniawan, Punaji Setyosari, Waras Kamdi, Saida Ulfa
The purpose of this research was to build a classification model and to measure the correlation of selfefficacy with visual-verbal preferences using data mining methods. This research used the J48 classifier and linear projection method as an approach to see patterns of data distribution between self-efficacy and visual-verbal preferences. The measurement of the correlation of engineering students' self-efficacy with visual-verbal preferences using the data mining method approach gets the result that self-efficacy does not correlate with visual-verbal preferences. However, engineering students' self-efficacy influences the achievement of initial learning outcomes. Visual-verbal preference is more influenced by students' interest in images so it can be concluded that self-efficacy affects the initial results of learning but does not have a correlation with visual-verbal preferences. The results of the decision tree provide the results that are easily understood and present a correlation between self-efficacy and visual-verbal preferences in a visual form. © 2019 PEC.
Student of Graduate School, State University of Malang, Malang, Indonesia; Department of Educational Technology, State University of Malang, Malang, Indonesia; Department of Mechanical Engineering Education, State University of Malang, Malang, Indonesia
