Determinate Student Final Project Supervisor Based AHP and SAW

Teotino Gomes Soares; Marcelo Fernandes Xavier Cham; Abdullah Bin Zainol Abidin

doi:doi:10.11648/j.ajai.20230702.11

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Determinate Student Final Project Supervisor Based AHP and SAW

Teotino Gomes Soares, Marcelo Fernandes Xavier Cham, Abdullah Bin Zainol Abidin

Published in American Journal of Artificial Intelligence (Volume 7, Issue 2)

Received: 10 May 2023 Accepted: 6 June 2023 Published: 5 August 2023

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Abstract

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.

Published in	American Journal of Artificial Intelligence (Volume 7, Issue 2)
DOI	10.11648/j.ajai.20230702.11
Page(s)	31-39
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Analytical Hierarchy Process, Simple Additive Weighting, Supervisor

References

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APA Style

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

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ACS Style

Teotino Gomes Soares; Marcelo Fernandes Xavier Cham; Abdullah Bin Zainol Abidin. Determinate Student Final Project Supervisor Based AHP and SAW. Am. J. Artif. Intell. 2023, 7(2), 31-39. doi: 10.11648/j.ajai.20230702.11

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AMA Style

Teotino Gomes Soares, Marcelo Fernandes Xavier Cham, Abdullah Bin Zainol Abidin. Determinate Student Final Project Supervisor Based AHP and SAW. Am J Artif Intell. 2023;7(2):31-39. doi: 10.11648/j.ajai.20230702.11

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@article{10.11648/j.ajai.20230702.11,
  author = {Teotino Gomes Soares and Marcelo Fernandes Xavier Cham and Abdullah Bin Zainol Abidin},
  title = {Determinate Student Final Project Supervisor Based AHP and SAW},
  journal = {American Journal of Artificial Intelligence},
  volume = {7},
  number = {2},
  pages = {31-39},
  doi = {10.11648/j.ajai.20230702.11},
  url = {https://doi.org/10.11648/j.ajai.20230702.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajai.20230702.11},
  abstract = {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.},
 year = {2023}
}

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TY  - JOUR
T1  - Determinate Student Final Project Supervisor Based AHP and SAW
AU  - Teotino Gomes Soares
AU  - Marcelo Fernandes Xavier Cham
AU  - Abdullah Bin Zainol Abidin
Y1  - 2023/08/05
PY  - 2023
N1  - https://doi.org/10.11648/j.ajai.20230702.11
DO  - 10.11648/j.ajai.20230702.11
T2  - American Journal of Artificial Intelligence
JF  - American Journal of Artificial Intelligence
JO  - American Journal of Artificial Intelligence
SP  - 31
EP  - 39
PB  - Science Publishing Group
SN  - 2639-9733
UR  - https://doi.org/10.11648/j.ajai.20230702.11
AB  - 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.
VL  - 7
IS  - 2
ER  -

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Author Information

Teotino Gomes Soares

Department of Computer Science, Dili Institute of Technology (DIT), Dili, Timor Leste
Marcelo Fernandes Xavier Cham

Department of Computer Science, Dili Institute of Technology (DIT), Dili, Timor Leste
Abdullah Bin Zainol Abidin

Founder of Professional IT Consultant Enterprise, Professional IT Consultant Enterprise, Kedah, Malaysia

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APA Style

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

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ACS Style

Teotino Gomes Soares; Marcelo Fernandes Xavier Cham; Abdullah Bin Zainol Abidin. Determinate Student Final Project Supervisor Based AHP and SAW. Am. J. Artif. Intell. 2023, 7(2), 31-39. doi: 10.11648/j.ajai.20230702.11

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AMA Style

Teotino Gomes Soares, Marcelo Fernandes Xavier Cham, Abdullah Bin Zainol Abidin. Determinate Student Final Project Supervisor Based AHP and SAW. Am J Artif Intell. 2023;7(2):31-39. doi: 10.11648/j.ajai.20230702.11

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@article{10.11648/j.ajai.20230702.11,
  author = {Teotino Gomes Soares and Marcelo Fernandes Xavier Cham and Abdullah Bin Zainol Abidin},
  title = {Determinate Student Final Project Supervisor Based AHP and SAW},
  journal = {American Journal of Artificial Intelligence},
  volume = {7},
  number = {2},
  pages = {31-39},
  doi = {10.11648/j.ajai.20230702.11},
  url = {https://doi.org/10.11648/j.ajai.20230702.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajai.20230702.11},
  abstract = {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.},
 year = {2023}
}

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TY  - JOUR
T1  - Determinate Student Final Project Supervisor Based AHP and SAW
AU  - Teotino Gomes Soares
AU  - Marcelo Fernandes Xavier Cham
AU  - Abdullah Bin Zainol Abidin
Y1  - 2023/08/05
PY  - 2023
N1  - https://doi.org/10.11648/j.ajai.20230702.11
DO  - 10.11648/j.ajai.20230702.11
T2  - American Journal of Artificial Intelligence
JF  - American Journal of Artificial Intelligence
JO  - American Journal of Artificial Intelligence
SP  - 31
EP  - 39
PB  - Science Publishing Group
SN  - 2639-9733
UR  - https://doi.org/10.11648/j.ajai.20230702.11
AB  - 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.
VL  - 7
IS  - 2
ER  -

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