Analysis of Student Academic Performance and Social Media Activities by Using Data Mining Approach

Abstract

This study aims to analysis the relationship of student academic performance to the activity of using social media. The method used in this research is a data mining approach to analysis its connectedness. Data mining techniques used are association and classification. As for the needs of the data used comes from student academic data sourced fromAcademic Information Systemand social media activity data comes from Instagram using Application Programming Interface (API) for get data automatically. Data requirements for academic achievement, i.e. grade-point averagre (GPA), duration of study, and faculty. As for identifying the data of social media activity, i.e.number of post (feed), number of following & follower, date & time post, and caption.The results of the analysis in this study indicate a relationship between academic achievement and the activity of using social media.