Cover Image

Design and Control System Monitoring of Water Quality on Tilapia Cultivation Farm based Internet of Things (IoT) with NodeMCU

Main Authors: Afifah, Fathimah Nur, Haryatmi, Emy
Format: Article info eJournal
Bahasa: eng
Terbitan: Universitas Islam Sumatera Utara , 2020
Subjects:
System Monitoring
Cayene Application; NodeMCU; IoT Technology
Online Access: https://jurnal.uisu.ac.id/index.php/infotekjar/article/view/2398
ctrlnum --jurnal.uisu.ac.id-index.php-index-oai:article-2398
fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title lang="en-US">Design and Control System Monitoring of Water Quality on Tilapia Cultivation Farm based Internet of Things (IoT) with NodeMCU</title><creator>Afifah, Fathimah Nur</creator><creator>Haryatmi, Emy</creator><subject lang="en-US">System Monitoring, Cayene Application; NodeMCU; IoT Technology</subject><description lang="en-US">Fish cultivation has a high potential to improve the welfare of the community. One of the important factors influencing the success of fish cultivation is the aspect of water quality in the pond which is illustrated by several physical parameters such as temperature, degree of acidity (pH) and turbidity of the water. The use of water for cultivation must always be maintained at turbidity level, the impact of turbid water causes disruption to the physical growth of the fish and even death. Due to the limitations of humans who cannot monitor ponds 24 hours, a system is created that can monitor and control water quality in real time. To get good water quality for cultivation, the authors make this system using a turbidity sensor to detect water turbidity, a pH sensor to detect the acidity of the water and a temperature sensor to detect the temperature of the water on the pond. While processing and control using a microcontroller, namely NodeMCU. Periodically the sensor will send the measurement results to the Cayenne application in real time which can be viewed via a smartphone / PC. The control system is also made with two modes, namely automatic and manual modes to fill and drain water on the pond. Based on the results of system testing, turbidity, pH and temperature sensors are very good in detecting any changes in pond water conditions. Cayenne application with IoT technology is able to provide action on the water pump in the process of draining and filling water in ponds with manual mode. NodeMCU is able to send data with a good internet connection.</description><publisher lang="en-US">Universitas Islam Sumatera Utara</publisher><contributor lang="en-US"/><date>2020-03-28</date><type>Journal:Article</type><type>Other:info:eu-repo/semantics/publishedVersion</type><type>Journal:Article</type><identifier>https://jurnal.uisu.ac.id/index.php/infotekjar/article/view/2398</identifier><identifier>10.30743/infotekjar.v4i2.2398</identifier><source lang="en-US">InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan; Vol 4, No 2 (2020): InfoTekJar Maret</source><source>2540-7600</source><source>2540-7597</source><source>10.30743/infotekjar.v4i2</source><language>eng</language><rights lang="en-US">Copyright (c) 2020 Fathimah Nur Afifah</rights><rights lang="en-US">https://creativecommons.org/licenses/by/4.0</rights><recordID>--jurnal.uisu.ac.id-index.php-index-oai:article-2398</recordID></dc>
language eng
format Journal:Article
Journal
Other:info:eu-repo/semantics/publishedVersion
Other
Journal:eJournal
author Afifah, Fathimah Nur
Haryatmi, Emy
title Design and Control System Monitoring of Water Quality on Tilapia Cultivation Farm based Internet of Things (IoT) with NodeMCU
publisher Universitas Islam Sumatera Utara
publishDate 2020
topic System Monitoring
Cayene Application; NodeMCU; IoT Technology
url https://jurnal.uisu.ac.id/index.php/infotekjar/article/view/2398
contents Fish cultivation has a high potential to improve the welfare of the community. One of the important factors influencing the success of fish cultivation is the aspect of water quality in the pond which is illustrated by several physical parameters such as temperature, degree of acidity (pH) and turbidity of the water. The use of water for cultivation must always be maintained at turbidity level, the impact of turbid water causes disruption to the physical growth of the fish and even death. Due to the limitations of humans who cannot monitor ponds 24 hours, a system is created that can monitor and control water quality in real time. To get good water quality for cultivation, the authors make this system using a turbidity sensor to detect water turbidity, a pH sensor to detect the acidity of the water and a temperature sensor to detect the temperature of the water on the pond. While processing and control using a microcontroller, namely NodeMCU. Periodically the sensor will send the measurement results to the Cayenne application in real time which can be viewed via a smartphone / PC. The control system is also made with two modes, namely automatic and manual modes to fill and drain water on the pond. Based on the results of system testing, turbidity, pH and temperature sensors are very good in detecting any changes in pond water conditions. Cayenne application with IoT technology is able to provide action on the water pump in the process of draining and filling water in ponds with manual mode. NodeMCU is able to send data with a good internet connection.
id IOS4523.--jurnal.uisu.ac.id-index.php-index-oai:article-2398
institution Universitas Islam Sumatera Utara
institution_id 1254
institution_type library:university
library
library Universitas Islam Sumatera Utara
library_id 1095
collection InfoTekJar (Jurnal Nasional Informatika dan Teknologi Jaringan)
repository_id 4523
subject_area Computer Modeling and Simulation/Model dan Simulasi Komputer
Computer Communications Networks/Jaringan Komunikasi Komputer
Algorithms/Algoritma
Computer Security, Data Security/Keamanan Komputer, Keamanan Data
city KOTA MEDAN
province SUMATERA UTARA
shared_to_ipusnas_str 1
repoId IOS4523
first_indexed 2020-04-14T20:29:14Z
last_indexed 2020-08-03T11:37:29Z
recordtype dc
_version_ 1686136660889174016
score 17.538404

Lihat Juga