wulansari, Brilian
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Design monitoring non invasive for screaning cardiovascular disease based on the internet of medical things (IoMT) Danang Widyawarman; Hastono, Tri; wulansari, Brilian
COMPTON: Jurnal Ilmiah Pendidikan Fisika Vol 11 No 2 (2025): Compton: Jurnal Ilmiah Pendidikan Fisika
Publisher : Prodi Pendidikan Fisika Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/cjipf.v11i2.18513

Abstract

The process of measuring uric acid, cholesterol and blood sugar levels is generally carried out using invasive methods or by injuring parts of the body to take blood samples. The invasive method requires 3 different tools to determine blood sugar, cholesterol and uric acid levels. In this study, measurements were carried out using non-invasive methods or without injuring body parts based on the Internet of Medical Things (IoMT). This tool is equipped with a Liquid Crystal Display and a Web server application to display the measurement results. This research aims to measure uric acid, cholesterol, blood sugar levels and oxygen saturation which is carried out using red LED light emitting on a sensor attached to the finger. The output value from the sensor in the form of voltage is processed on the Arduino NodeMCU ESP 32 to be converted into bits and calculations are carried out to obtain the values for uric acid, cholesterol, blood sugar levels and oxygen saturation. The measured value will then be sent to Firebase so that it can be displayed on the Web server application and LCD which is used for disease mapping in an area and assisting doctors' monitoring. The advantage of the invasive method in this study shows that this tool can be used for non-invasive early screening of cardiovascular disease with its sensor which can provide information on glucose, uric acid and cholesterol levels in the blood with an average accuracy percentage of 93.8% by comparing with invasive methods. The use of the Internet of Medical Things as a data transmission method for online use does not require human-to-human interaction.