Water Quality Monitoring and Control System for Tilapia Cultivation Based on Internet of Things

This research analyzes the quality of water for tilapia habitat which is a type of brackish water fish that is currently widely cultivated by pond farmers. This fish is the choice because of its flexibility regarding habitat. However, despite having flexibility in terms of habitat, each harvest of tilapia that lives in a different habitat will produce tilapia with different quantity and quality. Currently, many tilapia farmers still carry out the cultivation process using traditional methods using ponds. Kuala Kerto Village, Lapang District, North Aceh is one of the locations where many tilapia fish farmers use ponds as a habitat for this fish. Not infrequently, changes in natural conditions such as rain and floods have an impact on tilapia fish ponds in this village. Thus, crop yields are very varied, often even resulting in losses. One of the reasons for this is that there is still minimal use of technology in tilapia cultivation in this village. The design of a water quality monitoring and control system for IoT-based tilapia cultivation in this research was carried out to help the problems of tilapia pond farmers. Through this research, a tool was produced in the form of a prototype IoT device that can be used to monitor and control water quality in tilapia fish ponds. This device utilizes several sensors such as turbidity sensors, ammonia sensors, salinity sensors, pH sensors, and several other sensors as data takers which will later be transmitted and displayed via a web application. Research and development of this device uses the RD method, namely research and development.

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Publication Details

Journal
International Journal of Engineering Science and Information Technology
Published
2024-10-06
DOI
https://doi.org/10.52088/ijesty.v4i4.566
Primary Topic
Water Quality Monitoring Technologies
Type
article
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article

Water Quality Monitoring and Control System for Tilapia Cultivation Based on Internet of Things

Lidya Rosnita, Hafizh Al Kautsar Aidilof, Salamah Salamah, Muhammad Ikhwani et al.
International Journal of Engineering Science and Information Technology
Water Quality Monitoring Technologies
article

Water Quality Monitoring and Control System for Tilapia Cultivation Based on Internet of Things

Lidya Rosnita, Hafizh Al Kautsar Aidilof, Salamah Salamah, Muhammad Ikhwani, Haris Yunanda Rangkuti, Widia Hamsi
article en

Abstract

This research analyzes the quality of water for tilapia habitat which is a type of brackish water fish that is currently widely cultivated by pond farmers. This fish is the choice because of its flexibility regarding habitat. However, despite having flexibility in terms of habitat, each harvest of tilapia that lives in a different habitat will produce tilapia with different quantity and quality. Currently, many tilapia farmers still carry out the cultivation process using traditional methods using ponds. Kuala Kerto Village, Lapang District, North Aceh is one of the locations where many tilapia fish farmers use ponds as a habitat for this fish. Not infrequently, changes in natural conditions such as rain and floods have an impact on tilapia fish ponds in this village. Thus, crop yields are very varied, often even resulting in losses. One of the reasons for this is that there is still minimal use of technology in tilapia cultivation in this village. The design of a water quality monitoring and control system for IoT-based tilapia cultivation in this research was carried out to help the problems of tilapia pond farmers. Through this research, a tool was produced in the form of a prototype IoT device that can be used to monitor and control water quality in tilapia fish ponds. This device utilizes several sensors such as turbidity sensors, ammonia sensors, salinity sensors, pH sensors, and several other sensors as data takers which will later be transmitted and displayed via a web application. Research and development of this device uses the RD method, namely research and development.

International Journal of Engineering Science and Information TechnologyVol. 4(4)
Malikussaleh University (ID)
Clean water and sanitation
Openalex Percentile: Top 84%
Water Quality Monitoring Technologies
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Water Quality Monitoring and Control System for Tilapia Cultivation Based on Internet of Things — Lidya Rosnita, Hafizh Al Kautsar Aidilof, et al. · International Journal of Engineering Science and Information Technology (2024) | TGRS Research Map | TGRS