Water Quality Monitoring System Based on the Internet of Things (IoT) for Vannamei Shrimp Farming
As Internet of Things (IoT) technology develops, water quality monitoring systems for Vannamei shrimp farms have become more inventive and straightforward. The prototype IoT system monitors and controls the pool using sensors that can measure water quality parameters, such as temperature, pH, and sa...
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| Format: | Article |
| Language: | English |
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Bina Nusantara University
2024-06-01
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| Series: | ComTech |
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| Online Access: | https://journal.binus.ac.id/index.php/comtech/article/view/10657 |
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| author | Rosliana Eso Hasmina Tari Mokui Arman Arman Laode Safiuddin Husein Husein |
| author_facet | Rosliana Eso Hasmina Tari Mokui Arman Arman Laode Safiuddin Husein Husein |
| author_sort | Rosliana Eso |
| collection | DOAJ |
| description | As Internet of Things (IoT) technology develops, water quality monitoring systems for Vannamei shrimp farms have become more inventive and straightforward. The prototype IoT system monitors and controls the pool using sensors that can measure water quality parameters, such as temperature, pH, and salinity. The research aimed to design an automated water quality monitoring system for Vannamei shrimp aquaculture. The research used the E-4052C sensor, DS18B20 sensor, and DFRobot V1.0 sensor as data transmitting hardware (transmitter) and the receiving hardware microcontroller NodeMCU ESP32 as data processing, management, and control system tools. Then, the system used a Wi-Fi network to transfer data from the microcontroller to the Message Queue Telemetry Transport (MQTT) server as a data cloud. Several software programs, including Telegram, Node-Red, and ThingSpeak, help Android devices display real-time data. Test results for the accuracy of the sensor’s reading on water pH are 99.71, with an error rate of 0.29%. Meanwhile, the accuracy of the temperature sensor is 98.03 with an error rate of 1.7%. On the other hand, the accuracy of the salinity sensor is 99.49, with an error rate of 0.41%. The results indicate that all sensors have excellent performance. The real-time monitoring display and Android Telegram notification functions are good, and the automatic water quality monitoring tool is successfully operating in the Vannamei shrimp pool in Pamandati, South Konawe District, Southeast Sulawesi ssProvince, Indonesia. |
| format | Article |
| id | doaj-art-0dc47da4de574f1dbc23a5ae264301db |
| institution | DOAJ |
| issn | 2087-1244 2476-907X |
| language | English |
| publishDate | 2024-06-01 |
| publisher | Bina Nusantara University |
| record_format | Article |
| series | ComTech |
| spelling | doaj-art-0dc47da4de574f1dbc23a5ae264301db2025-08-20T02:46:28ZengBina Nusantara UniversityComTech2087-12442476-907X2024-06-01151536310.21512/comtech.v15i1.106579731Water Quality Monitoring System Based on the Internet of Things (IoT) for Vannamei Shrimp FarmingRosliana Eso0Hasmina Tari Mokui1Arman Arman2Laode Safiuddin3Husein Husein4Universitas Halu OleoUniversitas Halu OleoUniversitas Halu Oleo Universitas Halu OleoUniversitas Halu OleoAs Internet of Things (IoT) technology develops, water quality monitoring systems for Vannamei shrimp farms have become more inventive and straightforward. The prototype IoT system monitors and controls the pool using sensors that can measure water quality parameters, such as temperature, pH, and salinity. The research aimed to design an automated water quality monitoring system for Vannamei shrimp aquaculture. The research used the E-4052C sensor, DS18B20 sensor, and DFRobot V1.0 sensor as data transmitting hardware (transmitter) and the receiving hardware microcontroller NodeMCU ESP32 as data processing, management, and control system tools. Then, the system used a Wi-Fi network to transfer data from the microcontroller to the Message Queue Telemetry Transport (MQTT) server as a data cloud. Several software programs, including Telegram, Node-Red, and ThingSpeak, help Android devices display real-time data. Test results for the accuracy of the sensor’s reading on water pH are 99.71, with an error rate of 0.29%. Meanwhile, the accuracy of the temperature sensor is 98.03 with an error rate of 1.7%. On the other hand, the accuracy of the salinity sensor is 99.49, with an error rate of 0.41%. The results indicate that all sensors have excellent performance. The real-time monitoring display and Android Telegram notification functions are good, and the automatic water quality monitoring tool is successfully operating in the Vannamei shrimp pool in Pamandati, South Konawe District, Southeast Sulawesi ssProvince, Indonesia.https://journal.binus.ac.id/index.php/comtech/article/view/10657water quality monitoringinternet of things (iot)vannamei shrimp |
| spellingShingle | Rosliana Eso Hasmina Tari Mokui Arman Arman Laode Safiuddin Husein Husein Water Quality Monitoring System Based on the Internet of Things (IoT) for Vannamei Shrimp Farming ComTech water quality monitoring internet of things (iot) vannamei shrimp |
| title | Water Quality Monitoring System Based on the Internet of Things (IoT) for Vannamei Shrimp Farming |
| title_full | Water Quality Monitoring System Based on the Internet of Things (IoT) for Vannamei Shrimp Farming |
| title_fullStr | Water Quality Monitoring System Based on the Internet of Things (IoT) for Vannamei Shrimp Farming |
| title_full_unstemmed | Water Quality Monitoring System Based on the Internet of Things (IoT) for Vannamei Shrimp Farming |
| title_short | Water Quality Monitoring System Based on the Internet of Things (IoT) for Vannamei Shrimp Farming |
| title_sort | water quality monitoring system based on the internet of things iot for vannamei shrimp farming |
| topic | water quality monitoring internet of things (iot) vannamei shrimp |
| url | https://journal.binus.ac.id/index.php/comtech/article/view/10657 |
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