ANALISIS INFORMASI PESERTA DIDIK PADA PENGGUNAAN MOBILE LEARNING BASED ON SOCIAL MEDIA MENGGUNAKAN METODE DATA MINING

Abstract

This study aims to analyze the information data of students based on the similarity of
attributes using data mining methods. The method used in this study is the J.48 Classifier
classification technique on WEKA data mining and Orange data mining software. This study shows
that data mining can be used as an alternative method to see the relationship between a variable or
class from the attributes of students who use mobile learning applications. This study found that the
knowledge of mobile learning did not determine the results of the pretest, but indirectly determined
by the level of self-efficacy possessed by students. Data mining methods can be implemented to
measure the correlation between classes or variables in research.