Application of multi-criteria decision making method in seletion of academic staff at Faculty of Science, Universiti Teknologi Malaysia

• Main Author: Ramlan, Nurul Duratulain
• Format: Thesis
• Language: English
• Published: 2013
• Subjects: QA Mathematics
• Online Access: http://eprints.utm.my/id/eprint/47940/25/NurulDuratulainRamlanMFS2013.pdf; http://eprints.utm.my/id/eprint/47940/

The selection of academic staff is important process for the university because the decision will affect the quality and the success of the university. Academic staff is the professional career as they are person who have the high skills in their respective fields. It is not easy for the selection committee to select appropriate personnel as they always faces up to uncertainty decision making process. Two Multiple Criteria Decision Making (MCDM) method namely Analytic Hierarchy Process (AHP) and Elimination and Choice Translating Reality I (ELECTRE I) are adopted to enable the decision makers to make effective decision in selecting academic staff. Both methods helps permit pair-wise comparison judgments in expressing the relative priority for criteria and alternatives that is translated from qualitative to quantitative data by considering the criteria that influence decision made. This study has applied six main criteria and fifteen sub-criteria for selecting the best one amongst seven candidates for the academic staff position in the Faculty of Science, UTM. The selection criteria of Academic, General Attitudes, Interpersonal Skill, Experience, Extracurricular Activities, and Referees Report that used in this study are determined based on some literature reviews and knowledge acquisition by interview Deputy Registrar from Registrars‘ Office and Assistant Registrar from Faculty of Science, UTM. By applying both methods, Candidate 7 should be selected as academic staff since she possesses the first rank of the generated candidate profile. Expert Choice 11.0 and Microsoft Excel 2007 are used to assist in accomplishing the calculation involved. As a suggestion for future work, other researches could apply the other of MCDM method in selecting academic staff.