Factor that affects the students performance in Mathematics subject using logistic regression / Norwaziah Mahmud ... [et al.]

Mahmud, Norwaziah and Muhammat Pazil, Nur Syuhada and Rosli, Nur Syakirah and Jamaluddin, Siti Hafawati (2024) Factor that affects the students performance in Mathematics subject using logistic regression / Norwaziah Mahmud ... [et al.]. Journal of Computing Research and Innovation (JCRINN), 9 (1): 10. pp. 121-130. ISSN 2600-8793


Predicting students' academic performance plays an important role in academics. Mathematics is a science concerned with the logic of shape, quantity, and order. This subject holds a crucial role in the school curriculum. Mathematics is a basic knowledge that students should have the expertise in order for them to score in the other subjects. However, most students find Mathematics a difficult subject, they will have difficulty scoring in this subject. Therefore, this paper aims to determine the factors that affect students’ performance in Mathematics subject which is the pre-calculus subject among students of Diploma in Computer Sciences (CS110) in UiTM Cawangan Melaka Kampus Jasin. During the analysis, gender, assessment marks, place of students, time spent studying pre-calculus subject per week, whether the student took additional mathematics in SPM, act as independent variables whereas grade for pre-calculus subject as the dependent variable, were examined. The assessments refer to test 1, test 2, lab assignment, quiz 1, quiz 2 and written assignment. The logistic regression model was applied, and the results showed that the gender, test 2 and quiz 2 are variables that are significant to the model with the p-value 0.031,0.014 and 0.03 respectively. When examining the variables influencing the academic performance of CS110 students at UiTM Cawangan Melaka Kampus Jasin, there are certain knowledge gaps and restrictions. It is advised that future studies should collect data from more respondents and keep the question simple but clear in order to get more accurate results.


Item Type: Article
Email / ID Num.
Mahmud, Norwaziah
Muhammat Pazil, Nur Syuhada
Rosli, Nur Syakirah
Jamaluddin, Siti Hafawati
Subjects: Q Science > QA Mathematics > Multivariate analysis. Cluster analysis. Longitudinal method > Regression analysis. Correlation analysis. Spatial analysis (Statistics)
Divisions: Universiti Teknologi MARA, Perlis > Arau Campus
Journal or Publication Title: Journal of Computing Research and Innovation (JCRINN)
UiTM Journal Collections: UiTM Journal > Journal of Computing Research and Innovation (JCRINN)
ISSN: 2600-8793
Volume: 9
Number: 1
Page Range: pp. 121-130
Keywords: Performance Prediction, Logistic Regression, prediction model, Student Performance
Date: March 2024
URI: https://ir.uitm.edu.my/id/eprint/94349
Edit Item
Edit Item


[thumbnail of 94349.pdf] Text

Download (327kB)

ID Number




Statistic details