Prototipe Pengontrolan Suhu dan pH pada Tambak Lobster Air Tawar Menggunakan Metode Perceptron
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
ATIKAH, ATIKAH
Indrianto, Indrianto
Arianto, Rakhmat
Indrianto, Indrianto
Arianto, Rakhmat
Subject
Teknik Informatika
Datestamp
2022-09-22 03:50:34
Abstract :
Low temperatures can decrease the appetite of lobsters whereas an inadequate pH may affect the chemicals or toxins present in the water. For that, we need a device that can control and monitor the state of temperature and water pH even though far away in ponds. This research aims to maintain the state of temperature and pH in the optimal state that ranges between 25oC-29oC and 6-8 pH so as to improve the survival of freshwater lobster. In the manufacture of the tool used temperature sensors and pH sensors as parameters to control water quality. In order to determine the quality of water we used perceptron method to classify good or bad water quality based on temperature and water pH value. For data transmission used wifi module ESP8266 as intermediary arduino and server cloud so that data can be accessed anywhere. The result of this research is information about the condition of freshwater lobster ponds can be viewed from the smartphone. In addition, the use of monitoring tools can maintain the temperature and pH in optimal conditions with the average temperature and pH produced in the test that is 28.0 oC and 7.03 pH.
Low temperatures can decrease the appetite of lobsters whereas an inadequate pH may affect the chemicals or toxins present in the water. For that, we need a device that can control and monitor the state of temperature and water pH even though far away in ponds. This research aims to maintain the state of temperature and pH in the optimal state that ranges between 25oC-29oC and 6-8 pH so as to improve the survival of freshwater lobster. In the manufacture of the tool used temperature sensors and pH sensors as parameters to control water quality. In order to determine the quality of water we used perceptron method to classify good or bad water quality based on temperature and water pH value. For data transmission used wifi module ESP8266 as intermediary arduino and server cloud so that data can be accessed anywhere. The result of this research is information about the condition of freshwater lobster ponds can be viewed from the smartphone. In addition, the use of monitoring tools can maintain the temperature and pH in optimal conditions with the average temperature and pH produced in the test that is 28.0 oC and 7.03 pH.
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