Indrajia, Dayyan Afif (2025) Rancang Bangun Smart Greenhouse Dengan Logika Fuzzy Untuk Sistem Kontrol Berbasis Internet Of Things. Other thesis, Universitas Islam Riau.

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Abstract

This study aims to develop an Internet of Things (IoT)-based Smart Greenhouse system with fuzzy logic for adaptive control systems in managing optimal environmental conditions for plant growth. In this study, the system integrates various sensors, namely DHT22 for measuring air temperature and humidity, Soil Moisture for soil moisture, TDS for water quality, and MQ-135 for CO₂ detection, all of which are connected to the ESP32 microcontroller. The data collected by the sensors is processed in real-time through the IoT system, enabling remote monitoring and control of greenhouse conditions.This study tested the system's performance in managing key environmental parameters, including temperature, air humidity, soil moisture, and CO₂ levels, as well as measuring the accuracy of the sensors used. Test results show that the sensors used can provide accurate and stable data, and the system operates effectively in controlling environmental conditions adaptively using fuzzy logic. With the application of fuzzy logic, the system can respond to environmental changes more flexibly and accurately compared to threshold-based systems with limited capabilities. The results of this study indicate that this IoT-based Smart Greenhouse system can help farmers manage greenhouse environments more efficiently, improve plant growth quality, and reduce the risk of crop failure due to environmental instability. The use of IoT technology enables real-time monitoring and control of plant conditions, making it easier for farmers to optimize the plant growth process. In the future, this system can be further developed for larger scales, such as commercial greenhouses, and integrated with cloud technology and additional environmental parameters to significantly improve agricultural efficiency and productivity.

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