Syaidatus Syahira Ahmad Tarmizi

Work place: Faculty of Computer and Mathematical Sciences, Universiti Teknologi Mara, 40450 Shah Alam, Selangor, Malaysia



Research Interests:


Syaidatus S. Ahmad Tarmizi received her BSc. degree of Computer Sciences in 2018 from Universiti Teknologi Mara. She is master’s degree student of Information System (Intelligent System) at Information Systems Department in the same university.

Author Articles
A Review on Student Attrition in Higher Education Using Big Data Analytics and Data Mining Techniques

By Syaidatus Syahira Ahmad Tarmizi Sofianita Mutalib Nurzeatul Hamimah Abdul Hamid Shuzlina Abdul Rahman

DOI:, Pub. Date: 8 Aug. 2019

Student attrition among undergraduate students is among the most concerned issues in higher educational institutions in Malaysia and abroad. This problem arises when these students unable to complete their studies within the stipulated period when there are majoring in the Science, Technology, Engineering, and Mathematics (STEM) fields. Research findings highlight numerous factors contribute to the student attrition. These findings also suggest that the factors differ from one case to another case. Effects of student attrition not only for the student itself but also to the institutions and community. It is challenging to classify the factors based on general assumptions. Moreover, increasing students’ information makes the problem more complicated. This student information can provide a useful database for analytical analysis. Methods such as big data analytics and data mining techniques can be deployed to gain insights and pattern that related to student attrition problem. The objective of this paper (i) review the student attrition in higher education (HE) and the contributing factors; and (ii) review the existing computational model to analyze and predict student attrition in HE.

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