PERANCANGAN ALAT MONITORING SENSOR PH DAN SUHU PADA KOLAM LELE DI INDUSTRI REPUBLIK LELE BERBASIS IoT

Authors

  • muhammad ramadhani Universitas Islam Kadiri Author
  • Danang Erwanto Universitas Islam Kadiri Author
  • Iska Yanuartanti Universitas Islam Kadiri Author

Keywords:

Catfish Farming, NodeMCU ESP8266, pH 4502C Sensor, Blynk Application

Abstract

Catfish farming is an important sector in the Indonesian fishing industry due to high demand. To produce high-quality catfish, it is crucial to maintain the quality of pH and pond temperature, with an optimal pH of 6.5-8.5 and a temperature of 25°C-30°C. Water quality monitoring in the "Lele Republic" is currently done manually and is inefficient. Therefore, an IoT-based automated solution is needed for real-time pH and temperature monitoring. This research designs an IoT-based monitoring tool using a pH 4502c sensor and a DS18B20 temperature sensor, with a NodeMCU ESP8266 microcontroller, Arduino IDE software, and the Blynk application. Monitoring can be viewed on an LCD and Blynk smartphone, and error testing will be conducted to ensure the tool works properly. This IoT implementation is expected to improve efficiency in detecting changes in water quality and enable remote data access. The research method used is the experimental method. Based on the research results, it can be concluded that the pH 4502C sensor and DS18B20 temperature sensor work well for measuring pH levels and pond water temperature in real-time. Monitoring data from sensor readings is on a 20x4 LCD and can be viewed via Blynk. Overall, the tool works well, with an error rate of less than 3%, indicating that the tool has been well calibrated. The implementation of this tool facilitates efficient monitoring of pH and pond water temperature in the Lele Republic.

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References

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Published

2024-08-05

How to Cite

[1]
muhammad ramadhani, Danang Erwanto, and Iska Yanuartanti, “PERANCANGAN ALAT MONITORING SENSOR PH DAN SUHU PADA KOLAM LELE DI INDUSTRI REPUBLIK LELE BERBASIS IoT”, neiit, vol. 1, no. 1, pp. 333–341, Aug. 2024, Accessed: Jul. 04, 2025. [Online]. Available: http://ojs.ft.uniska-kediri.ac.id/index.php/neiit/article/view/72

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