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All Journal Bulletin of Electrical Engineering and Informatics Jurnal Indonesia Sosial Teknologi
Wirayoga, Septriandi
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Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences

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Application of Fuzzy Logic for Android-Based Tempeh Fermentation Process Control and Monitoring Akbar Habibi, Isac Ilham; Wirayoga, Septriandi; Huda, Miftakhul; Yanuar Astono, Guntur
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 12 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i12.8847

Abstract

Tempeh is a highly nutritious food source that is widely consumed by people every day. Tempeh artisans, such as those in Jatisari Village, produce quality tempeh through an optimal fermentation process. The ideal fermentation process takes place at a temperature of 30°C–35°C, a humidity of 65%–72%, and an ammonia gas content of 43–50 ppm, with a fermentation time of about 18 hours to produce cooked tempeh. To improve the efficiency and quality of the fermentation process, a tool that is able to control and monitor the condition of the fermentation chamber is needed automatically. This research develops a tempeh fermentation control and monitoring system using a NodeMCU microcontroller, relay, VNH2SP30, DHT11 sensor, and MQ-137 sensor, which are integrated with fuzzy logic. This system controls the incandescent lamp as a heater and the peltier as a cooler in the fermentation container compartment. Control and monitoring results are displayed in real-time via LCD and Android app, with the successful fermentation time shortened to 16 hours.
Internet of things-based fuzzy controller for automatic irrigation and NPK nutrient monitoring of grapes Sarosa, Moechammad; Wirayoga, Septriandi; Kusumawardani, Mila; Firmanda Al Riza, Dimas; Mulyani Azis, Yunia
Bulletin of Electrical Engineering and Informatics Vol 14, No 6: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i6.9715

Abstract

Grape cultivation has gained increasing attention due to its short growing period and the high market value of its sweet, refreshing fruits. However, achieving optimal growth requires precise environmental and nutrient management, which can be challenging under conventional farming practices. This research aims to develop an automatic watering system that integrates soil moisture and nutrient monitoring to optimize grape cultivation. The system utilizes Nitrogen Phosphorus Potassium (NPK) sensors, soil moisture sensors, and a camera for growth observation, all connected through the internet of things (IoT) for remote monitoring via Android devices. A fuzzy logic controller is implemented to regulate watering duration based on environmental conditions such as temperature and humidity. Experimental results show that the system effectively adjusts watering duration to approximately six seconds when the temperature is between 25–32 °C and humidity is around 60%. The DS18B20 temperature sensor achieved an average error rate of only 0.12%, while the humidity sensor demonstrated 0.2% error, indicating high accuracy levels of 99.8%. Despite minor limitations related to internet stability and sensor calibration, the system demonstrates strong potential for commercial-scale smart farming applications, promoting resource-efficient and data-driven grape cultivation.
Co-Authors Akbar Habibi, Isac Ilham Dimas Firmanda Al Riza Guntur Yanuar Astono Kusumawardani, Mila Miftakhul Huda Moechammad Sarosa Mulyani Azis, Yunia