Sistem Monitoring Kolam Ikan Berbasis IoT

Sujito, Maulana Daffa Hilmi (2023) Sistem Monitoring Kolam Ikan Berbasis IoT. Undergraduate thesis, Universitas Muhammadiyah Malang.

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Abstract

Fish ponds are a crucial element in the fishing industry. However, they require serious
monitoring to maintain water conditions and fish health. In this study, an IoT-based fish
pond monitoring tool is developed to facilitate real-time monitoring. The monitoring device
consists of sensors to measure important parameters such as water temperature, water
turbidity, and pH levels. The data collected by these sensors is then transmitted through
the internet network to a central control center, where users can access and analyze the
information.
With the use of this IoT-based monitoring tool, fish farmers can remotely monitor the pond
conditions in real-time without the need to be physically present on-site. They can receive
notifications in case of significant changes in the measured parameters, enabling them to
take prompt actions to preserve the health and water quality of the fish pond. This
research contributes to the advancement of technology in the fishing industry, particularly
in fish pond monitoring. With the implementation of IoT-based monitoring tools, it is
expected that efficiency and productivity in fish farming can be enhanced, and the risks
of losses due to poor water conditions can be minimized.

Item Type: Thesis (Undergraduate)
Student ID: 201910130311120
Keywords: Monitoring,IoT, Sensor
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering > Department of Electrical Engineering (20201)
Depositing User: 201910130311120 mauldaffa
Date Deposited: 17 Nov 2023 02:07
Last Modified: 17 Nov 2023 02:07
URI: https://eprints.umm.ac.id/id/eprint/971

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