Juniko Alexander, Ronaldo (2025) Sistem Penyiraman Tanaman Otomatis Menggunakan Logika Fuzzy Berbasis Internet Of Things. Other thesis, Universitas Islam Riau.

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Abstract

Efficient and timely plant watering is an important factor in supporting optimal plant growth. However, manual watering is often inconsistent and timeconsuming. This research proposes an Internet of Things (IoT)-based automatic plant watering system that utilizes fuzzy logic to determine the duration of plant watering. The system uses an environmental air temperature sensor (DHT22) and soil moisture sensor (Soil Moisture) to collect real-time environmental data. The data obtained is then processed using fuzzy logic with Tsukamoto inference and produces for the duration of watering. In this system there is a schedule for watering time, which generally plants have an efficient time for watering, namely in the morning and evening. This system is integrated with an IoT network that allows remote monitoring and control by using a website for monitoring and in this system using telegram in its control. The test results show that the proposed system is able to optimize water usage and maintain plant conditions within optimal limits. Thus, this system can be an effective solution to improve plant watering efficiency.

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