Classification of students based on quality of life and academic performance by using support vector machine / Raihana Zainordin and A.M. Farah Nabilah

Zainordin, Raihana and A.M., Farah Nabilah (2018) Classification of students based on quality of life and academic performance by using support vector machine / Raihana Zainordin and A.M. Farah Nabilah. Journal of Academia, 6 (1). pp. 45-52. ISSN 2289-6368

Abstract

Most studies done in the past on factors affecting academic performance did not touch on quality of life factor. Also, most studies only used correlation and regression analysis. Not many studies used classification analysis. Hence, this study aimed to classify students based on quality of life and academic performance. Students’ quality of life was measured by using WHOQOL-BREF questionnaire which consists of five quality of life domains namely physical health, psychological health, social relationship, environment and overall quality of life whereas the academic performances were represented by cumulative grade point average (CGPA). The selected sample for this study was 60 Universiti Teknologi MARA (UiTM) Perlis students from Bachelor of Science (Hons.) Management Mathematics program. This study applied support vector machine (SVM) method for classifying the students. The results for each quality of life domain showed that students with both low and high academic performance were classified into high academic performance class. The same result was obtained when all domains were combined. All models showed high accuracy which implied that the classification made by SVM were strongly correct. The findings of this study demonstrated that quality of life plays an important role in students’ academic performance.

Metadata

Item Type: Article
Creators:
CreatorsID Num. / Email
Zainordin, RaihanaUNSPECIFIED
A.M., Farah NabilahUNSPECIFIED
Subjects: H Social Sciences > HQ The family. Marriage. Woman > Life style
Q Science > QA Mathematics
Q Science > QA Mathematics > Mathematical statistics. Probabilities
Divisions: Universiti Teknologi MARA, Negeri Sembilan > Kuala Pilah Campus
Journal or Publication Title: Journal of Academia
Journal: UiTM Journal > Journal of Academia UiTM Negeri Sembilan
ISSN: 2289-6368
Volume: 6
Number: 1
Page Range: pp. 45-52
Item ID: 29644
Uncontrolled Keywords: quality of life, academic performance, support vector machine
URI: http://ir.uitm.edu.my/id/eprint/29644

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