Pond Water Quality Monitoring in Consumption Fish Farming Industry Based on Internet of Things

The rapid increase in population in Indonesia has increased the demand for animal protein. As a source of animal protein, fish has excellent potential to be developed in Indonesia. However, care for water quality, a basic need, is often ignored. Meanwhile, increasing fish production can be done by ensuring that water quality is always in good condition. This research conducted aims to monitor water quality continuously. Integrating water quality monitoring systems using the Internet of Things (IoT) offers convenience in real-time monitoring and does not have to be present on-site. The parameters determining fish water quality are pH, electrical conductivity (EC), dissolved oxygen (DO), turbidity, and water temperature. The data obtained is then displayed on the Water Monitoring dashboard as graphs, indicators, and raw data the user can download. Overall, the system can measure, monitor in real-time, and store data on the results of measuring the quality of freshwater fish ponds on smartphones/laptops. The developed system also provides information on whether the water quality is “normal” or in conditions less and more than the threshold. Therefore, the developed system helps farmers monitor the quality of their fish ponds to increase the productivity of fish farming.

Authors

Institutions

Publication Details

Journal
Rekayasa
Published
2024-12-29
DOI
https://doi.org/10.21107/rekayasa.v17i3.25428
Citations
2
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pond Water Quality Monitoring in Consumption Fish Farming Industry Based on Internet of Things

Meita Fitrianawati, Wan Fatimah Wan Ahmad, Dwi Sulisworo, Khairul Shafee Kalid et al.
2 citations
Rekayasa
Water Quality Monitoring Technologies
0.40
article

Pond Water Quality Monitoring in Consumption Fish Farming Industry Based on Internet of Things

Meita Fitrianawati, Wan Fatimah Wan Ahmad, Dwi Sulisworo, Khairul Shafee Kalid, Arsyad Cahya Subrata, Muhammad Ramadhani, Zul Hamdi Batubara
article en
2 citations

Abstract

The rapid increase in population in Indonesia has increased the demand for animal protein. As a source of animal protein, fish has excellent potential to be developed in Indonesia. However, care for water quality, a basic need, is often ignored. Meanwhile, increasing fish production can be done by ensuring that water quality is always in good condition. This research conducted aims to monitor water quality continuously. Integrating water quality monitoring systems using the Internet of Things (IoT) offers convenience in real-time monitoring and does not have to be present on-site. The parameters determining fish water quality are pH, electrical conductivity (EC), dissolved oxygen (DO), turbidity, and water temperature. The data obtained is then displayed on the Water Monitoring dashboard as graphs, indicators, and raw data the user can download. Overall, the system can measure, monitor in real-time, and store data on the results of measuring the quality of freshwater fish ponds on smartphones/laptops. The developed system also provides information on whether the water quality is “normal” or in conditions less and more than the threshold. Therefore, the developed system helps farmers monitor the quality of their fish ponds to increase the productivity of fish farming.

RekayasaVol. 17(3)
Universitas Ahmad Dahlan (ID)
Openalex Percentile: Top 36%
Water Quality Monitoring Technologies
0.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Pond Water Quality Monitoring in Consumption Fish Farming Industry Based on Internet of Things — Meita Fitrianawati, Wan Fatimah Wan Ahmad, et al. · Rekayasa (2024) | TGRS Research Map | TGRS