Implementation of Fuzzy Takagi-Sugeno Method to Control Venetian Blind

[[abstract]]Smart home technology is advancing rapidly, especially some smart home devices based on the Internet of Things (IoT) to overcome the limitations of human operation. The purpose of this study is to design, develop, and evaluate a smart home automatic venetian blind control system in the smart home implementation area which uses a smartphone to display, and setup the system. The fuzzy Takagi-Sugeno method is used to evaluate the system input to predict the weather condition. The system design consists of a Arduino Nano microcontroller that provides as a controller for automatic venetian blind control system that use Light-Dependent Resistor (LDR) sensor, Rain Drop (RD) sensor, DHT22 sensor, ESP8266 WiFi module that used to transfer sensor data to the mobile application, and also DC motors with a microswitch which it provides to execute the output of these system. Each sensor's data will be presented to the mobile application. The results of applying the fuzzy Takagi-Sugeno method to the system are in accordance with the design and can predict the weather with a high level of accuracy. These tools and applications exceeded all expectations, as shown by the various experiments performed, there are no significant differences between the system and manual calculations