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September 5, 2025CogITo Smart JournalOpen Access

Multi-Criteria Analysis for Selecting Superior Rice Seeds Using SAW-AHP

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Authors

LWLinda WahyuniJambi University RSRita Novita SariUniversitas Islam Negeri Sumatera Utara SRSri RahayuState University of Malang

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Implication

This analysis demonstrates improved seed selection accuracy in farming using decision support systems, indicating potential for enhanced agricultural productivity.

Key Points

HMS 700 ranks first in seed selection based on a score of 0.85 using the Simple Additive Weighting method.
The Analytic Hierarchy Process identifies Inpari 42 as the top rice seed alternative with a priority value of 0.176.
A web-based decision support system was developed to assist farmers in selecting superior rice seeds based on multiple criteria.
Implementing this system contributes to increased agricultural productivity and reduces the likelihood of crop failures.

Cite This Study

Wahyuni et al. (2025) studied this question.

synapsesocial.com/papers/68bb49d26d6d5674bccffef2 https://doi.org/10.31154/cogito.v11i1.912.112-125

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Implication

This analysis demonstrates improved seed selection accuracy in farming using decision support systems, indicating potential for enhanced agricultural productivity.

Multi-Criteria Analysis for Selecting Superior Rice Seeds Using SAW-AHP

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Member takes

Implication

Key Points

Cite This Study

Multi-Criteria Analysis for Selecting Superior Rice Seeds Using SAW-AHP

Discussion

Member takes

Implication

Key Points

Cite This Study

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