MUHARDIANA, KELVIN (2026) RANCANG BANGUN SISTEM MONITORING KUALITAS AIR PADA AKUARIUM IKAN GUPPY BERBASIS INTERNET of THINGS (IoT). S1 thesis, Fakultas Teknik Universitas Sultan Ageng Tirtayasa.
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Abstract
The care of ornamental fish, such as guppies, requires optimal water quality monitoring for healthy growth. Temperature, pH, and Total Dissolved Solids (TDS) are important parameters to monitor, as imbalances can lead to fish disease or death. While manual monitoring is common, busy owners often become obstacles in maintaining optimal aquarium water conditions. Internet of Things (IoT) technology provides a solution to overcome this problem by enabling automated and real-time monitoring. This research aims to develop and implement a better IoT-based guppy aquarium water quality monitoring system by using temperature, pH, and TDS sensors. This system is integrated with the Telegram application to allow remote monitoring via PC and smartphone. The methods used in this research include hardware and software design, as well as sensor testing in monitoring temperature, pH, and TDS parameters. It is hoped that this system can maintain aquarium water quality in optimal conditions and make it easier for owners to care for guppies. The sensor test results show a high level of accuracy with 98.31% for the temperature sensor, 91.22% for the pH sensor, and 92.62% for the TDS sensor. The average monitoring results for 4 weeks show a temperature of 26.92°C, a pH of 6.56, and a TDS of 480.16ppm. Data transmission via the Telegram Bot shows satisfactory performance in terms of response time. Overall, the developed system is capable of monitoring water quality and can be monitored remotely via the Telegram Bot.
| Item Type: | Thesis (S1) | |||||||||
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| Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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| Divisions: | 03-Fakultas Teknik > 20201-Jurusan Teknik Elektro | |||||||||
| Depositing User: | Kelvin KM Muhardiana | |||||||||
| Date Deposited: | 22 Jan 2026 08:27 | |||||||||
| Last Modified: | 22 Jan 2026 08:27 | |||||||||
| URI: | http://eprints.untirta.ac.id/id/eprint/57423 |
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