Discriminant analysis of factors affecting the grade point average (GPA) of mathematics education students.

The Grade Point Average (GPA) of students represents the quality of the learning process and the student's achievement. However, the low and fluctuating GPA of students is still a problem that is often encountered among students. So, it is necessary to study the factors that cause this through discriminant analysis. This study aims to determine the discriminant model of the factors that affect students' GPA. It also aims to determine what factors have a significant effect on the GPA of mathematics education students at Nusa Cendana University. The population in this study was all active students from the 2018, 2019, and 2020 classes at the Nusa Cendana University mathematics education study program. The sample consisted of 100 students who were taken by using simple random sampling techniques. This research is quantitative research with a survey method. The instrument used consisted of three main instruments, namely: 1) an open questionnaire related to the factors of study time, pocket money, and sleep time, 2) an organisational activity questionnaire, and 3) a learning motivation questionnaire. Data related to student GPAs were obtained from the academic section of the mathematics education study program at Nusa Cendana University. Discriminant analysis with SPSS 20 was used to analyse the data obtained. The results of the study found that the discriminant function/model of the factors that affect student GPA is Y= 8.854768+0.530341 X1+0.404140 X2+0.905366 X4 +1.056100 X5. Furthermore, it was also found that the variables of learning motivation (X5), organisational activity (X4), pocket money (X2), and study time (X1) are factors that have a significant effect on the GPA of mathematics education students with the accuracy of the classification of discriminant functions being 72%. [ABSTRACT FROM AUTHOR]