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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 9, ISSUE 11, NOVEMBER 2020

Selection of the best lecturers using the Simple Additive Weighting method

Achmad Noeman, Wowon Priatna, Abrar Hiswara

DOI: 10.17148/IJARCCE.2020.91111

Abstract: In the process of determining the best lecturer by students, there are several criteria, including in terms of explaining the material, teaching methods, which make it easier for students to follow their courses. To assist in the selection process for someone to become the best lecturer for students, a decision support system is needed using Fuzzy Multiple Addictive Decision Making (FMADM). This study uses the SAW (Simple Addictive Weighted) method based on predetermined criteria. The SAW method can determine the selection of the best lecturer based on predetermined criteria for students, as well as looking for the weight value of each attribute to get the best lecturer.

Keywords: Fuzzy Multiple Addictive Decision Making, SAW Method, Decision Support System, criteria for the best lecturers

How to Cite:

[1] Achmad Noeman, Wowon Priatna, Abrar Hiswara, “Selection of the best lecturers using the Simple Additive Weighting method,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2020.91111