Sistem Pemantauan pH, Kadar Alkohol dan Pengendalian Suhu pada Fermentasi Kombucha Menggunakan Metode Logika Fuzzy

Authors

  • Riffan Sudira Departemen Fisika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Andalas
  • Nini Firmawati Departemen Fisika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Andalas
  • Wildian Wildian Departemen Fisika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Andalas
  • Rahmat Rasyid Departemen Fisika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Andalas

DOI:

https://doi.org/10.25077/jfu.15.6.562-569.2026

Keywords:

Alcohol, fuzzy logic, Internet of Things, kombucha, pH

Abstract

The kombucha fermentation process is influenced by temperature, pH, and alcohol content; therefore, proper monitoring and control are required to maintain product quality and ensure that the alcohol level remains below the halal limit of 0.5%. This study developed an Internet of Things–based system capable of monitoring pH and alcohol content as well as automatically controlling the fermentation chamber temperature using fuzzy logic. The system employs an ESP32 microcontroller integrated with DS18B20, pH-E4502C, and MQ-3 sensors, and controls a heating element and DC fan through Pulse Width Modulation (PWM) signals based on fuzzy evaluation of the actual temperature and its deviation from the 29 °C setpoint. The data are displayed on an LCD, transmitted in real time to the Blynk application, and stored in Google Sheets. Experimental results showed that the system was able to maintain the fermentation temperature close to the setpoint with good stability. The DS18B20 sensor achieved an average error of 0.41%, while the MQ-3 and pH-E4502C sensors showed high correlation coefficients with R² values of 0.9992 and 0.9987, respectively. Monitoring results during 111 hours of fermentation showed a final pH value of 3.37 and an alcohol content of 0.48%, meeting quality standards and halal requirements. Therefore, the developed system is effective for automatically and accurately monitoring and controlling the kombucha fermentation process.

References

Albertini, N. S., Pezzin, E. V. B., Bressan, S., Radin, D., Kern, K. M., Pezzin, M. Z., & Foralosso, F. B. (2022). Comparacao entre metodos analíticos convencionais e microcontroladores de baixo custo para monitoramento de processos biotecnologicos aplicados a alimentos. Anais Da Mostra Nacional de Iniciacao Científica e Tecnologica Interdisciplinar (MICTI), 1(16), 57–64. https://doi.org/10.1300/J096v10n02_08

Davvaz, B., Mukhlash, I., & Soleha, S. (2021). Himpunan Fuzzy dan Rough Sets. Limits: Journal of Mathematics and Its Applications, 18(1), 79. https://doi.org/10.12962/limits.v18i1.7705

Fraiz, G. M., Costa, M. A. C., Cardoso, R. R., Hébert, J. R., Zhao, L., Corich, V., Giacomini, A., Milagro, F. I., Barros, F. A. R., & Bressan, J. (2024). Black Tea Kombucha Consumption: Effect on Cardiometabolic Parameters and Diet Quality of Individuals with and without Obesity. Fermentation, 10(8). https://doi.org/10.3390/fermentation10080384

Grassi, A., Cristani, C., Palla, M., Di Giorgi, R., Giovannetti, M., & Agnolucci, M. (2022). Storage time and temperature affect microbial dynamics of yeasts and acetic acid bacteria in a kombucha beverage. International Journal of Food Microbiology, 382(September), 109934. https://doi.org/10.1016/j.ijfoodmicro.2022.109934

Jang, S. S. I. K., Intyre, L. M. C., Chan, M., Brown, P. N., Finley, J., & Chen, S. X. (2021). Ethanol Concentration of Kombucha Teas in British Columbia, Canada. 84(11), 1878–1883. https://doi.org/10.4315/JFP-21-130

Matar, Y. (2022). Real-time Monitoring of SCOBY-Derived Bacterial Cellulose Production for Sustainable Material Development [Tesi di Laurea Magistrale]. Politecno milano.

Nyhan, L. M., Lynch, K. M., Sahin, A. W., & Arendt, E. K. (2022). Advances in Kombucha Tea Fermentation: A Review. Applied Microbiology, 2(1), 73–103. https://doi.org/10.3390/applmicrobiol2010005

Riswanto, D., Rezaldi, F., & Program, P. S. (2021). Kombucha Tea: a Study on the Halal. Ijma, 1(2), 71–77.

Soto, S. A. V., Beaufort, S., Bouajila, J., Souchard, J. P., & Taillandier, P. (2018). Understanding Kombucha Tea Fermentation: A Review. Journal of Food Science, 83(3), 580–588. https://doi.org/10.1111/1750-3841.14068

Surya, S., Nithishkumar, G., Balasankar, A., & Prakash, R. (2024). Smart Fermentation Controller: Sensor – Based Monitoring and Control System for Fermented Foods and Beverages. International Journal of Multidiciplinary Research in Science, Engineering and Technology, 7(1), 23–31.

Viera, P., Oliveira, D., Henrique, A., De, C. R. S., Fagundes, C., & Hernandes, C. (2023). Kombucha benefits, risks and regulatory frameworks: A review. Food Chemistry Advances, 2(January), 100288. https://doi.org/10.1016/j.focha.2023.100288

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Published

02-11-2026

How to Cite

Sudira, R., Firmawati, N., Wildian, W., & Rasyid, R. (2026). Sistem Pemantauan pH, Kadar Alkohol dan Pengendalian Suhu pada Fermentasi Kombucha Menggunakan Metode Logika Fuzzy. Jurnal Fisika Unand, 15(6), 562–569. https://doi.org/10.25077/jfu.15.6.562-569.2026

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