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Gabby Livia Satria Gani, Gusti Ayu Putu Shintya Saraswati, Helmayanti Pratikasari, Mohamad Jalal Fahmi, Najma Fauziah, Najwa Karimah, Zaina Dizafa Juhanapatya, Mrr. Lukie Trianawati, Wuliddah Tamsil Barokah, Annisa Raihanah Maimun, Roma Juliana Arios
IPB University
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Social Sciences

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Fuzzy Logic Model for Evaluating Fresh Milk Quality Based on Protein to Fat Ratio Mula Gabe Ompusunggu; Gabby Livia Satria Gani, Gusti Ayu Putu Shintya Saraswati, Helmayanti Pratikasari, Mohamad Jalal Fah
Journal of Applied Science, Technology & Humanities | JASTH Vol. 3 No. 2 (2026): March 2026
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/9912q034

Abstract

The assessment of fresh milk quality plays a crucial role in ensuring food safety and supporting the efficiency of dairy processing. This study aims to develop a fuzzy logic model to evaluate the acceptability of fresh milk based on the protein-to-fat ratio in accordance with the Indonesian National Standard (SNI 3141.1:2011). A qualitative descriptive method was applied using MATLAB software to simulate fuzzy inference with protein and fat contents as input variables and milk quality as the output. Triangular and trapezoidal membership functions were utilized, with the Mamdani inference and centroid defuzzification methods used to obtain precise output values. The results indicate that samples with high and balanced protein and fat contents yield superior milk quality, whereas low levels of both result in poor classification. The fuzzy rule system effectively accommodates natural variations in milk composition, offering a more adaptive and accurate assessment compared to conventional threshold-based evaluations. This model demonstrates strong potential as a decision-support tool for quality control in the dairy industry and contributes to improving the consistency and scientific basis of national milk quality assurance systems.
Co-Authors Mula Gabe Ompusunggu