Implementation of Fuzzy Logic to Control Temperature and Incubation Time for the pH of Yoghurt

Authors

  • ratna aryanti IPB University Author
  • Chika Hayya Sabillah College of Vocational Studies, IPB University Author
  • Muhammad Faiz Assariy College of Vocational Studies, IPB University Author
  • Daffa Zulqhisti College of Vocational Studies, IPB University Author
  • Ronnauli Lamria Sirait College of Vocational Studies, IPB University Author
  • Rizki Laksana Putra College of Vocational Studies, IPB University Author
  • Maharshi Kaloka Parahita College of Vocational Studies, IPB University Author
  • Fauzan Maula Abdullah College of Vocational Studies, IPB University Author
  • Dhiya Ananta Pranadita College of Vocational Studies, IPB University Author
  • Delia Noor S College of Vocational Studies, IPB University Author
  • Afrida Rif'atul Hanifa College of Vocational Studies, IPB University Author
  • Lukie Trianawati College of Vocational Studies, IPB University Author

DOI:

https://doi.org/10.62535/9r33bp20

Keywords:

yoghurt, incubation, fuzzy logic, pH

Abstract

This research develops a fuzzy logic-based yoghurt production model by considering incubation temperature and incubation time as the main variables that influence the final pH of yoghurt. In this study, 49 yoghurt samples were produced and tested in two replications to obtain pH data which was then processed through fuzzy modeling. This fuzzy model is for determining fuzzy rules and membership functions. By using two fuzzy sets for each parameter and the Mamdani method, a total of 49 fuzzy logic rules were built to describe the relationship between incubation variables and final pH. Matlab 2015a software was used to process data and assess model accuracy. The results showed that this model was effective for predicting the final pH of yoghurt, which is important for maintaining product quality. In the future, it is hoped that this model can be applied to automated production lines, thereby supporting yoghurt production on an industrial scale with greater consistency and efficiency, especially ini the food sector.

Author Biographies

  • Chika Hayya Sabillah, College of Vocational Studies, IPB University

    Student of Computer Engineering Technology

  • Muhammad Faiz Assariy, College of Vocational Studies, IPB University

    Student of Computer Engineering Technology

  • Daffa Zulqhisti, College of Vocational Studies, IPB University

    Student of Computer Engineering Technology

  • Ronnauli Lamria Sirait, College of Vocational Studies, IPB University

    Student of Food Quality Assurance Supervisor

  • Rizki Laksana Putra, College of Vocational Studies, IPB University

    Student of Food Quality Assurance Supervisor

  • Maharshi Kaloka Parahita, College of Vocational Studies, IPB University

    Student of Food Quality Assurance Supervisor

  • Fauzan Maula Abdullah, College of Vocational Studies, IPB University

    Student of Food Quality Assurance

  • Dhiya Ananta Pranadita, College of Vocational Studies, IPB University

    Student of Food Quality Assurance Supervisor

  • Delia Noor S, College of Vocational Studies, IPB University

    Student of Food Quality Assurance Supervisor

  • Afrida Rif'atul Hanifa, College of Vocational Studies, IPB University

    Student of Food Quality Assurance Supervisor

  • Lukie Trianawati, College of Vocational Studies, IPB University

    Lecturer of Food Quality Assurance Supervisor

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Published

2025-09-21

How to Cite

Implementation of Fuzzy Logic to Control Temperature and Incubation Time for the pH of Yoghurt. (2025). Journal of Applied Science, Technology & Humanities | JASTH, 2(4), 509-527. https://doi.org/10.62535/9r33bp20