RANCANG BANGUN SISTEM KONTROL KEKERUHAN AIR PADA TANGKI AIR BERBASIS INTERNET OF THINGS (IOT) MENGGUNAKAN METODE FUZZY LOGIC
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Institusion
Universitas Muhammadiyah Ponorogo
Author
Tri Pamungkas, Chandra Tri
Subject
TK Electrical engineering. Electronics Nuclear engineering
Datestamp
2023-09-14 07:31:54
Abstract :
In this era of industrial revolution 4.0, the Internet of Things (IoT) is starting to become more and more popular used to make human work easier. In Indonesia itself there is clean water It is really needed to fulfill daily needs starting from washing, bathing or Even when drinking water is cloudy, there are many factors involved affect it and will reduce human productivity itself. As is Internet of Things (IoT) based water turbidity control is expected to provide ease for humans to control turbidity in the water. Study which was carried out by researchers using microcontrollers in the form of Arduino Uno and Node The ESP8266 MCU also uses 2 sensors, namely the Ultrasonic HC SR-04 sensor and Turbidity sensor SKU SEN0189. The method used is the Fuzzy Logic method Fuzzy performs calculations using two input parameters, namely level and turbidity. And the output of the Fuzzy calculation is time, namely charging time and water draining.
In this era of industrial revolution 4.0, the Internet of Things (IoT) is starting to become more and more popular used to make human work easier. In Indonesia itself there is clean water It is really needed to fulfill daily needs starting from washing, bathing or Even when drinking water is cloudy, there are many factors involved affect it and will reduce human productivity itself. As is Internet of Things (IoT) based water turbidity control is expected to provide ease for humans to control turbidity in the water. Study which was carried out by researchers using microcontrollers in the form of Arduino Uno and Node The ESP8266 MCU also uses 2 sensors, namely the Ultrasonic HC SR-04 sensor and Turbidity sensor SKU SEN0189. The method used is the Fuzzy Logic method Fuzzy performs calculations using two input parameters, namely level and turbidity. And the output of the Fuzzy calculation is time, namely charging time and water draining.
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