DSS for Journal Selection
ELECTRE-Based DSS for Journal Selection
ELECTRE-Based DSS is a web-based decision support system developed to help the University of Mataram library evaluate and select the most suitable journal publications. The system processes multiple selection criteria—such as citation count, publication frequency, review duration, and publication fees—using ROC for weighting and the ELECTRE method for ranking alternatives. This project introduces an analytical and data-driven approach to academic resource decision-making.
Category
Website App
Client
University of Mataram
Start Date
December 2024
Go-Live Date
December 2024 - now
Description
The purpose of this project was to streamline the journal evaluation process by converting subjective decision-making into a structured computational workflow. Each journal alternative is assessed using a set of criteria relevant to academic quality and practicality. The ROC method determines criterion weights based on relative importance, and ELECTRE processes these weighted values through concordance, discordance, and dominance analysis to produce a final ranking. By implementing these methods in a web interface, the library gains a transparent and efficient way to compare journals and make informed selections.
THE STORY
The project began with the University of Mataram’s need for a systematic approach to choosing journal publications that align with their academic goals. Traditional selection was often done manually, which made consistency and fairness difficult to achieve—especially when dealing with numerous journal options and varying criteria. To address this, I translated the decision-making methodology into an automated system that ensures each alternative is evaluated objectively. Throughout development, I worked closely with the decision-making logic behind ROC and ELECTRE, transforming what is typically a complex mathematical process into an accessible and practical tool for librarians and academic staff.
OUR APPROACH
My approach was to integrate multi-criteria decision-making techniques into a user-friendly platform that could compute rankings with precision. I implemented ROC to calculate normalized weights and formalized the ELECTRE workflow—from concordance and discordance index calculation to dominance matrix construction and final ranking. The system’s backend handles all computational steps, while the web interface presents results clearly for users. This combination of methodological rigor and accessible design allows universities to manage journal selection more accurately, consistently, and efficiently.