EVERGREEN

Joint Journal of Novel Carbon Resource Sciences and Green Asia Strategy

ISSN:2189-0420 (Print until Mar 2020)
ISSN:2432-5953 (Online)

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4.3
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4.3
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0.391
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1.192

Modification of the Complex Proportional Assessment Method: A New Methodology for Decision Support

Dyah Ayu Megawaty1, Heni Sulistiani1, Setiawansyah Setiawansyah1, Arie Qur’Ania2, Yuri Rahmanto1,*, Pritasari Palupiningsih3
1Faculty Engineering and Computer Science, Universitas Teknokrat Indonesia, Indonesia
2Faculty of Mathematics and Natural Sciences, Universitas Pakuan, Indonesia
3Faculty of Energy Telematics, Institut Teknologi Perusahaan Listrik Negara, Indonesia
*Author to whom correspondence should be addressed:
E-mail: yurirahmanto@teknokrat.ac.id (YR)
Evergreen, Vol. 13, Iss. 01, pp. 229–239, 2026
DOI: 10.5109/7411063
Creative Commons Attribution 4.0 International Creative Commons Attribution 4.0 International
Received: December 20, 2024 | Revised: October 09, 2025 | Accepted: November 04, 2025 | Published: March 2026
Abstract
Complex Proportional Assessment (COPRAS) is one of the methods in MCDM that is used to evaluate and rank alternatives based on several criteria. One of its main drawbacks is its sensitivity to criterion weighting, as small changes in weighting can significantly affect the final ranking results of the evaluated alternatives. This makes the method susceptible to subjective errors in weighting, which can reduce the validity of the decisions taken. The aim of this paper is to propose improvements to the COPRAS method that are more accurate and flexible in supporting the decision-making process. COPRAS's proposed method uses a root mean square called COPRAS-R. We calculated the correlation between the alternative ratings using the COPRAS method and the weights calculated by the ROC, Rank Sum, and Entropy weighting methods which had a correlation value of 0.97 compared to the original ranking. The result of the calculation of the correlation value of the COPRAS-R method is 1 which means that the results of this method ranking are exactly the same as the alternative initial rankings.
Keywords
COPRAS; COPRAS-R; Improvement; RMS; Weighting
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