Putri, Dian Wahyuni Karna
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RANCANG BANGUN ALAT MONITORING INFUS BERBASIS IOT DENGAN FITUR NOTIFIKASI UNTUK PEMANTAUAN PASIEN Putri, Dian Wahyuni Karna; Zainuri, Akhmad; Muslim, Muhammad Aziz
Jurnal Mahasiswa TEUB Vol. 12 No. 2 (2024)
Publisher : Jurnal Mahasiswa TEUB

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Abstract

Every medical procedure, includes the installation of an infusion, must face with the risks and side effects that can harm health. Misinfusion error often occur because infusion runs out prematurely, although they have been calculated according to the standard of individual fluid requirements. The main risk of improper disinfection is air embolism. In response to potential errors, an infusion monitoring device with a protection mechanism that detects run out of the infusion bag and the number of drops perminute is designed. To solve this problem, an infusion monitoring device with features capable of providing notification connected to the IoT system when droplets do not match, provides an estimate of the infusion time to run out, and provides a real-time estimate of infusion droplets when the roller clamp is rotated. When this condition occurs, the system helps prevent blood from rising into the infusion hose, acting as a protective measure to avoid entering the air into the blood vessels. This study was conducted by conducting a test on the drip sensor used by using calculations according to the applicable conditions of intravenous administration. The results of this study include accuracy of intravenous drip detection sensors (photodiodes) above 96% in actual conditions, with sensors working more accurately in dark environments. The infusion volume reading using a load cell sensor has a high accuracy of 99%, Information related to infusion volume, number of drops/minutes, estimated time of infusion, and notification of infusion warnings can also be accessed properly. Keywords: photodiode, infusion, monitoring, iot, load cell