Analytical Hierarchy Process for New Student Allocation Problem

Authors

  • Wan Haniza Wan Hassim Optimization, Modelling, Analysis, Simulation and Scheduling (OptiMASS) Research Group, Fakulti Teknologi Maklumat & Komunikasi, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal Melaka, Malaysia.
  • Abdul Samad Shibghatullah Optimization, Modelling, Analysis, Simulation and Scheduling (OptiMASS) Research Group, Fakulti Teknologi Maklumat & Komunikasi, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal Melaka, Malaysia.
  • Zulhasnizam Bin Hasan Optimization, Modelling, Analysis, Simulation and Scheduling (OptiMASS) Research Group, Fakulti Teknologi Maklumat & Komunikasi, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal Melaka, Malaysia.

Abstract

Semester one students in Ungku Omar Polytechnic are allocated to each class randomly based on their registration number without referring to their real intelligence level, knowledge, skills and also their performance. Therefore, in each class, there are students with multiple intelligence gap and skills. It is very difficult to give good educational service for large number of students with high diversity of achievements or skills. In this paper, AHP is used to cluster a group of semester one students from Information & Communication Technology (ICT) Department to minimize intelligence gap and skills in each class. Pre-Test and Post-Test are used to evaluate students’ performance and a questionnaire is distributed to the students before and after clustering process to evaluate student’s motivational level. The research findings showed that students who were clustered with minimum intelligent gap and skills for their academic session shows a better performance and higher motivational level as compared to students in a cluster with multiple intelligent gap and skills

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Published

2016-05-01

How to Cite

Wan Hassim, W. H., Shibghatullah, A. S., & Hasan, Z. B. (2016). Analytical Hierarchy Process for New Student Allocation Problem. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 8(2), 11–16. Retrieved from https://jtec.utem.edu.my/jtec/article/view/938

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