Optimization of Fuzzy Tsukamoto for Waste Paper Quality Unfitness Weighting
DOI:
https://doi.org/10.69916/jkbti.v5i3.534Keywords:
Fuzzy Tsukamoto, Waste Paper, Unfitness Weight, Quality Assessment, Decision Support SystemAbstract
Waste paper has economic value because it can be reused as raw material in the recycling industry. However, the assessment of waste paper quality in purchasing transactions is often still performed manually and may lead to subjective decisions, especially when several variables must be considered simultaneously. This study aims to apply the Fuzzy Tsukamoto method to determine the unfitness weight of waste paper quality as a supporting basis for determining the payable weight in waste paper purchasing transactions. The research was conducted at PT Gusti Putra using an applied research approach with system development. Data were collected through observation, interviews, and literature study. The variables used in the fuzzy calculation consist of vehicle type, gross weight, net weight, and paper quality as input variables, while the output variable is the percentage of waste paper quality unfitness weight. The calculation process includes fuzzification, fuzzy rule formation, inference using the AND operator, and defuzzification using the weighted average method. A case study was conducted using vehicle type K2, gross weight of 1600 kg, net weight of 1150 kg, and paper quality value of 6. The result shows an unfitness weight value of 13.04%, which belongs to the medium category. This result indicates that the Fuzzy Tsukamoto method can provide a more systematic, objective, and measurable assessment of waste paper quality and can support the payable weight calculation process in waste paper purchasing transactions.
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Copyright (c) 2026 Fairuz Hadi, R Wisnu Prio Pamungkas, Fried Sinlae
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