Application of linear regression method to predict microcontroller-based infusion fluid volume using IoT

Authors

  • Adi Chandranata Department of Engineering, Politeknik Negeri, Sumatera Barat
  • Madona Era Department of Engineering, Politeknik Negeri, Sumatera Barat
  • Rinaldo Gamaliel Marbun Department of Engineering, Politeknik Negeri, Sumatera Barat

DOI:

https://doi.org/10.46799/jst.v5i2.925

Keywords:

Infrared LM393, Internet of Things (IoT), Ubidots

Abstract

Infusion is a medical device under certain conditions used to replay lost fluids and balance the body's electrolytes. In emergency condition for examples in patients with dehydration, severe metabolic stress that causes hypovolemic shock, acidosis, dengue hemorrhagic fever (DHF), burn hemorhagle shock and trauma,infusion are needed immediately to replace lost body fluids. The manufacture of this system use two LM393 Optocoupler Infrared Sensors. Infrared sensors detect deteeted objects, namely droplets. If no droples are detected, the infrared sensor will not work or is a cut-off condition. This system is the Internet of Things (IoT). With the platform used, Ubidots, so that monitoring can be done with a smartphone. A warning will be send the infusion level has reached 100ml, so Ubidots will automatically send a notification in the form of an E-mail.

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Published

2024-03-25

Issue

Vol. 5 No. 3 (2024): Jurnal Syntax Transformation

Section

Articles

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