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1Department of Computer Science, Dili Institute of Technology (DIT), Dili, Timor Leste
2Founder of Professional IT Consultant Enterprise, Professional IT Consultant Enterprise, Kedah, Malaysia
Determining competent supervisors for student research projects is one of the factors that play the most important role because it can affect the success of student education, so it deserves attention. However, the process of determining a supervisor is not an easy thing because it involves various complex criteria and sub-criteria for making decisions consistently and objectively. Therefore, we propose AHP and SAW methods be utilized simultaneously with the criteria for education level, educational background, guiding experience, lecturer experience area, publication, guide quota, and student concentration, along with Forty-Three (43) other sub-criteria. This research purpose is to provide knowledge about how the AHP-SAW methods can be utilized together to cover each other's weaknesses in determining supervisors for student research projects. Where the AHP method works to calculate the priority level of criteria and sub-criteria that will be used by the SAW method in forming a matrix of criteria and alternatives and calculates the consistency value of the criteria and sub-criteria, while the SAW method works to calculate the matrix normalization value and ranking value for each alternative by utilizing the value of priority level of the criteria obtained from work of AHP. The results showed that the two methods were able to complement each other in determining the main supervisor of student research projects, with a ranking score of 1,00 for alternative ALec_002 and a co-supervisor ranking score of 0,97 for alternative ALec_007 out of 35 candidates.
Analytical Hierarchy Process, Simple Additive Weighting, Supervisor
Teotino Gomes Soares, Marcelo Fernandes Xavier Cham, Abdullah Bin Zainol Abidin. (2023). Determinate Student Final Project Supervisor Based AHP and SAW. American Journal of Artificial Intelligence, 7(2), 31-39. https://doi.org/10.11648/j.ajai.20230702.11
Copyright © 2023 Authors retain the copyright of this article.
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