2020
DOI: 10.35882/jeeemi.v2i3.6
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Design of Pond Water Turbidity Monitoring System in Arduino-based Catfish Cultivation to Support Sustainable Development Goals 2030 No.9 Industry, Innovation, and Infrastructure

Abstract: Catfish is one of the fishery products favored by the community because of its high protein. So that Catfish is one of the fish that is the center of business for fish farmers. The pond conditions used by Catfish farmers are generally still conventional. So that the maintenance of clean water in ponds is still done manually and even escapes attention. Water conditions will affect the health and productivity of Catfish. In order to achieve the optimum conditions in the third media, a control system consisting o… Show more

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Cited by 6 publications
(4 citation statements)
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“…Srinivasan et al (2013) used the Arduino microcontroller to regulate power supply to information technology-based educational facilities for rural inhabitants in India, adding to research on sustainable development through education. Nugraha and Priyambodo (2020) utilized the Arduino microcontroller to create a control system for detecting turbidity levels in catfish ponds, contributing to SDG No. 9: industry, innovation, and infrastructure.…”
Section: Suggested Citationmentioning
confidence: 99%
“…Srinivasan et al (2013) used the Arduino microcontroller to regulate power supply to information technology-based educational facilities for rural inhabitants in India, adding to research on sustainable development through education. Nugraha and Priyambodo (2020) utilized the Arduino microcontroller to create a control system for detecting turbidity levels in catfish ponds, contributing to SDG No. 9: industry, innovation, and infrastructure.…”
Section: Suggested Citationmentioning
confidence: 99%
“…Firstly, the collection of research materials will be undertaken, including image data involving two buoy objects, namely red and green, for the processes of analysis, processing, and color detection testing. Subsequently, the collection of image dataset process will be carried out for analysis, processing, and color detection testing with a focus on these two buoy objects [18] . The third step involves the dataset labeling process to classify between red and green buoys, enabling precise model training.…”
Section: E Yolo (You Only Look Once)mentioning
confidence: 99%
“…Conductor heat (thermal conductivity) that is ready to dissipate heat that arises within the equipment [12]. Wonderful insulation (excellent insulating) [13].…”
Section: Gas Sulphure Hexafluride (Sf6)mentioning
confidence: 99%