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InfusCare: Smart Infusion Monitoring System with Real-Time Notifications via ESP32 and Blynk Wathan, M Hizbul; Irawan, Indra; Swengky, Better; Cahyadi, Irsan
Jurnal Pengembangan Sistem Informasi dan Informatika Vol. 6 No. 3 (2025): Jurnal Pengembangan Sistem Informasi dan Informatika
Publisher : Training & Research Institute - Jeramba Ilmu Sukses

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/jpsii.v6i3.2759

Abstract

Manual infusion monitoring in medical settings can lead to errors and delays in care steps that can put patients at risk. Internet of Things (IoT) technology provides a solution that enhances the accuracy and efficiency of real-time infusion monitoring. This study develops an IoT-based infusion monitoring system with the HX711 module and ESP32 microcontroller, using a connected load cell sensor as a monitoring interface through the Blynk application. This system can accurately measure the volume of infusion fluid and provide automatic notifications when the fluid volume approaches the minimum limit. Tests were conducted with infusion fluid simulation, load cell sensor calibration, and system calibration integration testing. The test results indicate that the system can display data on fluid weight in real time with an accuracy level of 98.5%, and when the fluid volume reaches 1 second in average response time, you can send notifications at the right time. Therefore, this system is expected to be implemented in various medical facilities as a solution for patient safety and the effectiveness of infusion care, as well as for automatic and reliable infusion monitoring.
Aplikasi Monitoring Volume Cairan Infus pada Pasien Hasanah, Afifah Nur; Cahyadi, Irsan; Irwan, Irwan; Saputra, Zanu
Jurnal Inovasi Teknologi Terapan Vol. 3 No. 2 (2025): Jurnal Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33504/jitt.v3i2.259

Abstract

Infusion or intravenous fluids are given through a vein to replace fluids or nutrients lost from the body. Manual monitoring of infusions by nurses often carries a risk of error. To overcome this, a tool was developed that uses a loadcell sensor to measure liquid weight, an infrared sensor to detect droplets, and an ESP32 module to send data in real time to a database and display it on a monitor screen or website. This system provides a warning when the infusion fluid is less than 100 ml. Even so, there is an error in the loadcell sensor of 0.1% -0.2%, and the drip sensor readings are sometimes not detected due to certain factors. Apart from monitoring infusion fluids, the system also allows input of patient data via the website. Overall, the tool functions as intended, although there are still some aspects that need improvement.