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Monitoring Kadar Oksigen Pasien COVID-19 Untuk Isolasi Mandiri Berbasis IoT: Monitoring Oxygen Levels of COVID-19 Patients for IoT-Based Self-Isolation Azzah Rowani, Eka; Erwanto, Danang; Widhining Kusumastutie, Diah Arie
Jurnal Ilmiah Sistem Informasi Vol. 1 No. 3 (2022): November : Jurnal Ilmiah Sistem Informasi
Publisher : LPPM Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juisi.v1i3.379

Abstract

Corona virus or commonly known as COVID-19, where the virus can be transmitted by animals or by humans, with symptoms such as a high fever that can reach 37.7℃ or more, or low blood oxygen levels and handling cases of the covid- 19 virus has been pursued properly. With direct treatment by doctors, treatment in hospitals to self-isolation treatment and with the application of self-isolation for covid-19 patients, it is hoped that they can always see the condition of body temperature and oxygen levels in the blood. This study, the method of checking the number of heart beats of isoman patients and the amount of oxygen in the patient's body was developed by connecting the device to the IOT Telegram, which for the microcontroller used is Wemos D1minilite and with this development it is hoped that it can help the front group to overcome COVID-19 to always be able to help patients who are running isoman. The results of the testing of the tools made obtained a data success of 99.71% by comparing the results of the two tools, namely a tool made by researchers with an oximeter, and in these results obtained a data error value of 0.29% of the total data of 20 isoman patients. The data used were taken from COVID-19 patients who were self-isolating, and there were some patients whose test results were below the specified parameters.
Sistem Monitoring Kekeruhan Dan Ketinggian Air Pada Aquarium Ikan Hias Berbasis IoT Mutadayyin, Nadhiif; Shalahuddin, Yanu; Widhining Kusumastutie, Diah Arie
Fuse-teknik Elektro Vol 5 No 2 (2025): Fuse-teknik Elektro
Publisher : Fakultas Teknik Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Ornamental fish farming at the partner-seller scale often faces operational efficiency challenges, particularly related to water quality management. Observations with partners revealed issues such as inefficient electricity costs and manual water drainage methods, which pose risks to fish health and increase workloads. This research aims to design an Internet of Things (IoT)-based water quality monitoring system to automate aquarium monitoring. The system uses an ESP32WROOM 32 microcontroller as the main processing unit, a turbidity sensor to detect water turbidity levels, and a water-resistant JSN-SR04T ultrasonic sensor to measure water levels. Test results showed that the turbidity sensor was able to operate with an average error rate of 11.56%. Meanwhile, the JSN-SR04T sensor demonstrated a very high level of accuracy, with a precision of ± 0.2 cm. In terms of connectivity, analysis of data transmission to the IoT platform demonstrated stable performance with an average latency of at least 0.1 ms. By implementing this system, sales partners can monitor aquarium conditions in real-time, optimize the use of electrical devices, and replace manual draining methods with a more scalable and efficient system. the JSN SR04T sensor achieves a precision of ±0.5 cm. Data transmission delay analysis yields an average latency of at least 0.1 ms, supporting responsive real-time monitoring. In conclusion, this monitoring system is proven to be valid and reliable, offering a robust and time-efficient solution for IoT-based aquarium water quality management.