Simulation and design of smart clothesline using fuzzy for weather forecast

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T. Andrasto, Musaropah, Haryono, T. Joko, Kardoyo

2022 IOP Conference Series: Earth and Environmental Science Vol. 969 Issue 1 Conference paper Cited by 0 SDG 13 Quartile

Abstract

Information about weather is very important for human life. For this reason, a weather prediction system is needed that can read predictions correctly. One of the correct prediction systems is fuzzy systems. Fuzzy systems are used because they can make accurate and accurate weather predictions like human logic. The system used needs to be simulated to obtain the right model. The right software to simulate is Simulink MATLAB. In this study will take the DHT 22 and LDR (Light Dependent Resistor) sensor data from Arduino which will be processed by Simulink MATLAB using the Fuzzy Mamdani system. From the experiments conducted, we managed to make a simulation of predicting the weather using Mamdani fuzzy logic. The defuzzification results from this study can be used to control motors, heaters, etc. © Published under licence by IOP Publishing Ltd.

Affiliations

Universitas Negeri Semarang, Sekaran, Semarang, Indonesia

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