Authors:
M. Udin Harun Al Rasyid
;
Nur Mubtadai
and
Aditya Nugraha
Affiliation:
Informatic Engineering, Politeknik Elektronika Negeri Surabaya (PENS), Sukolilo, Surabaya, Indonesia
Keyword(s):
Automatic Feeder, Internet of Things, Fuzzy.
Abstract:
Feeding is important in fish farming. However, in general, feeding is still done manually, which is oriented to human resources. This method has drawbacks that also affect fish growth, such as scheduling errors and uncontrolled feeding doses that can cause overfeeding. This research aims to create a system for feeding and scheduling feeds and checking feed remotely using Internet of Things (IoT) technology which is equipped with several types of sensors, namely temperature sensors, humidity sensors, and rain sensors that function to monitor weather conditions around the pond as input. fuzzy to determine the amount of feed issued, while the ultrasonic sensor functions to monitor the availability of feed in the container. The sensor takes the data and then it is received by the Arduino Uno microcontroller. Furthermore, the data will be sent to the ESP8266 and there is data processing with the fuzzy method as an output for how long the servo motor is open. The data that is ready will be
passed to the database server (Firebase) using the ESP module with a Wi-fi network, then from the Firebase the data will be passed to the Android application via the API. That way users can see the results of monitoring feed conditions, automatic feeding scheduling, monitoring the weather around the pond in real time through an Android-based application. Feeding monitoring trials and application functionality have been successfully carried out with scenarios testing applications, devices, and sensors that are connected to each other that are attached to the feed container.
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