Implementation of decision support system for campus promotion management using fuzzy multiple analytic decision making (FMADM) method (Case study: Universitas multimedia nusantara)

Siswanto, Enrico and Katili, Adiputra Wijaya (2017) Implementation of decision support system for campus promotion management using fuzzy multiple analytic decision making (FMADM) method (Case study: Universitas multimedia nusantara). In: 2017 4th International Conference on New Media Studies (CONMEDIA), 8-10 Nov. 2017, Yogyakarta.

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Abstract

Campus promotion program is the annual routine program conducted by Universitas Multimedia Nusantara (UMN). Sometimes, Marketing Department in UMN faced a problem in choosing the priority of the schools that want to visited by UMN for promotions. The purpose of this research is to find a suitable method from FMADM to resolve the problem. The methods from FMADM consist of SAW (Simple Additive Weighting), AHP (Analytical Hierarchy Process), and WP (Weighted Product). Those three methods are compared to find out which method is suitable for making a decision. From the results, SAW is the suitable method comparing with the others in choosing the priority of the schools that want to visited by UMN for promotions. SAW method can achieve more consistent results and accordance with the decision from UMN marketing team. Finally, prototype of the prediction system using Simple Additive Weighting (SAW) was made in this research

Item Type: Conference or Workshop Item (Paper)
Keywords: Surface acoustic waves , Decision making , Estimation , Additives , Multimedia communication , Decision support systems
Subjects: 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 003 Systems (Computer Modeling and Simulation)
300 Social Sciences > 370 Education > 378 Tertiary Education, Higher Education, University
Divisions: Faculty of Engineering & Informatics > Information System
Depositing User: Administrator UMN Library
Date Deposited: 11 Nov 2021 07:44
Last Modified: 11 Nov 2021 07:44
URI: https://kc.umn.ac.id/id/eprint/19050

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