Aplikasi Fuzzy Logic Untuk Memprediksi Kondisi Pertumbuhan Jamur Tiram Putih Dengan Inputan Suhu, Kelembaban Udara Dan Intensitas Cahaya
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Institusion
Universitas Katolik Widya Mandira Kupang
Author
BANO, Piva Olviana
Subject
QA75 Electronic computers. Computer science
Datestamp
2023-02-19 23:22:14
Abstract :
Controlling temperature, humidity and light intensity are very important in the process of white oyster mushroom cultivation.Temperature control with conventional process or manually will be less effective because of the oyster mushroom cultivation need more attention of the temperature and humidity in the cultivation space remains stable at temperatures range between 16-28 degrees Celsius, humidity 60-90 percent, and the intensity light dark minimal 500-1000 lux to produce mushrooms with a maximum size. Design and build these applications is used by Unified Process (UP) method, while logical method is used Mamdani method and defuzzification process with Mean Of maximum method, with used Netbeans and Java as programming language with MySQL database. The results from this study is an application to help predict the range of temperature, humidity and light intensity for getting optimum condition for increase the white oyster mushroom production with maximum size.
Controlling temperature, humidity and light intensity are very important in the process of white oyster mushroom cultivation.Temperature control with conventional process or manually will be less effective because of the oyster mushroom cultivation need more attention of the temperature and humidity in the cultivation space remains stable at temperatures range between 16-28 degrees Celsius, humidity 60-90 percent, and the intensity light dark minimal 500-1000 lux to produce mushrooms with a maximum size. Design and build these applications is used by Unified Process (UP) method, while logical method is used Mamdani method and defuzzification process with Mean Of maximum method, with used Netbeans and Java as programming language with MySQL database. The results from this study is an application to help predict the range of temperature, humidity and light intensity for getting optimum condition for increase the white oyster mushroom production with maximum size.
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