Alat Penggerak Otomatis Panel Surya Menggunakan Algoritma Mamdani Berbasis Arduino Mega
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
Nissa, Cut Nurul Hayatun
Indrianto, Indrianto
Susanti, Meilia Nur Indah
Indrianto, Indrianto
Susanti, Meilia Nur Indah
Subject
Teknik Informatika
Datestamp
2022-09-26 07:10:54
Abstract :
ABSTRACT To take advantage of the potential for solar energy, solar cells or solar panels are used. The absorption power is optimized by making an automatic drive system on the solar panel that will move in the direction of the highest sunlight. Automatic solar panel driving tool with Fuzzy Mamdani algorithm as an algorithm that runs coupled using solar panels, LDR (Light Dependent Resistor) sensor, Arduino Mega 2560, DC motor, servo motor and DHT11 sensor. To get the highest light intensity value from the sun, the position of the solar panels must be facing the position of the sun, therefore an automatic driving device on the solar panels using the fuzzy mamdani algorithm is needed. The results obtained from the Mamdani fuzzy process are that the LDR sensor can provide values with three categories, namely dark (-225-225), medium (225-675), bright (675-1125). The results of the application of this algorithm obtain an accuracy value of 90%. This accuracy value is obtained from the MAPE test method.
ABSTRACT To take advantage of the potential for solar energy, solar cells or solar panels are used. The absorption power is optimized by making an automatic drive system on the solar panel that will move in the direction of the highest sunlight. Automatic solar panel driving tool with Fuzzy Mamdani algorithm as an algorithm that runs coupled using solar panels, LDR (Light Dependent Resistor) sensor, Arduino Mega 2560, DC motor, servo motor and DHT11 sensor. To get the highest light intensity value from the sun, the position of the solar panels must be facing the position of the sun, therefore an automatic driving device on the solar panels using the fuzzy mamdani algorithm is needed. The results obtained from the Mamdani fuzzy process are that the LDR sensor can provide values with three categories, namely dark (-225-225), medium (225-675), bright (675-1125). The results of the application of this algorithm obtain an accuracy value of 90%. This accuracy value is obtained from the MAPE test method.
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