Implementation of Fuzzy Multi-Attribute Decision Making on a Decision Support System Using Simple Adaptive Weighting Method to Determine Tutors, Case Study: BETA Private Institution
| Main Author: | Muhammad Ridha |
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| Format: | Bachelors |
| Terbitan: |
Fakultas Sains dan Teknologi UIN Syarif Hidayatullah Jakarta
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| Subjects: |
Daftar Isi:
- The use of technology in the process of decision making is increasing by day, as the data used through the process is constantly growing exponentially. Current decision making methods vary between the type of attributes and the data being handled, the key is to select the most suitable method to be implemented into the system. FMADM or known as Fuzzy Multi-Attribute Decision Making Method is one of the widely used methods in decision making. As mentioned in its name, the FMADM is known to be suitable for data that has multi attribute and a more complex outlook on its criteria. These multi-attribute criteria can be processed further using a SAW or a simple additive weighting calculation that will finalize the process of decision making. One of the current issues that involves the process of decision making is inside the management of a private institution namely Beta Private. Their main internal issue is the process of selecting and determining the right tutors that are suitable based on the student?s criteria. Acknowledging this problem, the author implemented a decision making method in order to resolve the issue faced by Beta Private, using both FMADM and SAW.