Nugroho, Fitrah Dwi (2025) Infusion fluid monitoring system with load cell sensor using kalman filter method / Fitrah Dwi Nugroho</p>. Diploma thesis, Universitas Negeri Malang.
Full text not available from this repository.Abstract
p Infusion is one of the crucial medical devices that plays a role in replacing a patient s body fluids. Conventional infusion monitoring methods still rely on manual checks by medical personnel where nurses must monitor each patient directly in turn. This situation creates a high workload and the risk of delayed response when the infusion drip rate needs to be adjusted. Delays or inaccuracies in adjusting the drip rate can have negative effects on the patient s clinical condition. This study aims to develop an infusion fluid monitoring system to improve efficiency for nurses and medical staff. Load cell sensors are commonly used to measure the weight of infusion fluids in medical monitoring systems. However these measurements are susceptible to external disturbances such as vibrations and shocks which can cause errors and reduce data accuracy. The Kalman filter method is applied to minimize these errors by optimally combining dynamic prediction models and actual measurement processes. During the prediction phase the Kalman filter projects fluid weight estimates based on previous conditions and system models. The results of this study show that the Kalman filter is effective in reducing errors. The error values directly generated by the sensor (column ldquo Sensor Error rdquo ) have an average of around 0.86 while after being processed by the Kalman filter (column ldquo Kalman Error rdquo ) the average decreases to around 0.44. Meanwhile the device testing yielded satisfactory results from the sensor database and smartphone application. /p
| Item Type: | Thesis (Diploma) |
|---|---|
| Divisions: | Fakultas Teknik (FT) > Departemen Teknik Elektro (TE) > S1 Teknik Elektro |
| Depositing User: | library UM |
| Date Deposited: | 19 Aug 2025 04:29 |
| Last Modified: | 09 Sep 2025 03:00 |
| URI: | http://repository.um.ac.id/id/eprint/399888 |
Actions (login required)
 |
View Item |