Aplikasi Monitoring Volume Cairan Infus pada Pasien

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.

Authors

Institutions

Publication Details

Journal
Jurnal Inovasi Teknologi Terapan
Published
2025-08-29
DOI
https://doi.org/10.33504/jitt.v3i2.259
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Aplikasi Monitoring Volume Cairan Infus pada Pasien

Irwan Irwan, Afifah Nur Hasanah, Irsan Cahyadi, Zanu Saputra
Jurnal Inovasi Teknologi Terapan
IoT and GPS-based Vehicle Safety Systems
article

Aplikasi Monitoring Volume Cairan Infus pada Pasien

Irwan Irwan, Afifah Nur Hasanah, Irsan Cahyadi, Zanu Saputra
article en

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.

Jurnal Inovasi Teknologi TerapanVol. 3(2)
University of Bangka Belitung (ID)
Openalex Percentile: Top 76%
IoT and GPS-based Vehicle Safety Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.