Combination of Fuzzy C-Means Clustering Methods and Simple Additive Weighting in Scholarship of Decision Support Systems

DOI

10.2991/assehr.k.210430.025How to use a DOI?

Keywords

Scholarships, Decision Support Systems, FCM, SAW

Abstract

Scholarships are educational assistance given to individuals or students with the aim of providing relief from financial costs for the continuation of the education pursued. Scholarships at SMK Auto Matsuda There are two types of scholarships which are grouped based on achievement criteria, status and family economic conditions. The decision-making system has not been objective and transparent in determining foundation scholarship recipients, this is the background of the research using a combination of two methods, namely theMethod Fuzzy C-Means (FCM) and Simple Additive Weighting (SAW). The combination of the Fuzzy C-Means (FCM) method is used for clustering to determine the membership weights objectively based on each variable criterion, while the Simple Additive Weighting (SAW) method is used for the weighted addition of each alternative on all alternative criteria to find a weighted addition. with the performance appraisal of the overall highest score by taking the results of the clustering, the best alternative will be taken. provide information and consideration to anticipate in classifying prospective recipients of Foundation Education Fee Assistance Scholarships (BBP Foundation) and Learning Achievement Enhancement Scholarships (PPB Foundation). Sampel data as much as 10 student data obtained three clusters based on the average value of the determination of the scholarship then processed by Simple Additive Weighting (SAW) for the ranking of each cluster classified based on which criteria are prioritized with the greatest value at the final distance is the cluster that receives the scholarship, while The cluster with the smallest score is the cluster that is not eligible to receive a scholarship. This study aims to implement the Simple Additive Weighting (SAW) method and the Fuzzy C-Means (FCM) method by categorizing variable criteria and using weighting in the selection of participants who receive the Foundation Education Fee Assistance (BBP Foundation) scholarship and Learning Achievement Improvement (PPB Foundation) scholarship. can display the final results of prospective scholarship recipients from the greatest value (feasible) to the smallest (not feasible).

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ragel Trisudarmo
AU  - Eko Sediyono
AU  - Jatmiko Endro Suseno
PY  - 2021
DA  - 2021/05/03
TI  - Combination of Fuzzy C-Means Clustering Methods and Simple Additive Weighting in Scholarship of Decision Support Systems
BT  - Proceedings of the 1st Annual International Conference on Natural and Social Science Education (ICNSSE 2020)
PB  - Atlantis Press
SP  - 161
EP  - 169
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.210430.025
DO  - 10.2991/assehr.k.210430.025
ID  - Trisudarmo2021
ER  -