Design of the Feeding System Automatic Koi Fish Based on Internet of Things Using the Fuzzy Logic Controller Method

M. Udin Harun Al Rasyid, Nur Mubtadai, Aditya Nugraha

2022

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.

Paper Citation

in Harvard Style

Udin Harun Al Rasyid M., Mubtadai N. and Nugraha A. (2022). Design of the Feeding System Automatic Koi Fish Based on Internet of Things Using the Fuzzy Logic Controller Method. In Proceedings of the 5th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES; ISBN 978-989-758-619-4, SciTePress, pages 921-930. DOI: 10.5220/0011957300003575

in Bibtex Style

@conference{icast-es22,
author={M. Udin Harun Al Rasyid and Nur Mubtadai and Aditya Nugraha},
title={Design of the Feeding System Automatic Koi Fish Based on Internet of Things Using the Fuzzy Logic Controller Method},
booktitle={Proceedings of the 5th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES},
year={2022},
pages={921-930},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011957300003575},
isbn={978-989-758-619-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 5th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES
TI - Design of the Feeding System Automatic Koi Fish Based on Internet of Things Using the Fuzzy Logic Controller Method
SN - 978-989-758-619-4
AU - Udin Harun Al Rasyid M.
AU - Mubtadai N.
AU - Nugraha A.
PY - 2022
SP - 921
EP - 930
DO - 10.5220/0011957300003575
PB - SciTePress