EcoTOPSIS: a big data approach for sustainable evaluation and ranking

Hussein, Muhammad Harris Farhan and Fadhaililamal, Fiqhley Ilmey A'mal and Arzanee, Nursyahirah Syafiqah and Kamarul Zaman, Muhammad Mukhlis and Md Rodzi, Zahari (2025) EcoTOPSIS: a big data approach for sustainable evaluation and ranking. In: Negeri Sembilan International Exposition (NSIEx) & Research Symposium 2025: e-Book of Extended Abstract. Universiti Teknologi MARA, Negeri Sembilan, pp. 124-127. ISBN 9786299595373
Abstract

This study introduces EcoTOPSIS, a web-based decision support tool designed for sustainability project evaluation under the theme “Celebrating Innovation, Commercialisation and Publication.” The system employs the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method to rank alternatives, enabling users to upload datasets, define benefit and cost criteria, assign weights, and obtain step-by-step outputs with visualizations. By integrating big data processing with automated computation, EcoTOPSIS enhances efficiency, accuracy, and transparency compared to traditional manual Multi-Criteria Decision-Making methods. Its interactive platform supports reproducibility, provides downloadable results, and offers practical applicability in areas such as project selection, technology adoption, and resource allocation. The tool effectively bridges the gap between theoretical models and real-world applications, reduces bias and computational errors, and facilitates evidence-based decision-making aligned with sustainable development objectives.

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