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Purno Tri Aji
Universitas Negeri Yogyakarta
Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

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Non-Invasive Device for Cholesterol, Uric Acid, and Glucose Monitoring: Implementation of Moving Average Filter Muhammad Falah Ar-Rasid; Purno Tri Aji
Journal of Robotics, Automation, and Electronics Engineering Vol. 3 No. 1 (2025): March 2025
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jraee.v3i1.1012

Abstract

Early detection is crucial in preventing diseases caused by high blood glucose, cholesterol, and uric acid levels through routine examinations. However, current testing devices are invasive, uncomfortable, complex, and generate medical waste. Therefore, this study aimed to develop and design a non-invasive measurement tool for these three parameters using the MAX30102 sensor. This research applied the Research and Development (R&D) method using the ADDIE model, adapted to the laboratory testing stage. The infrared values measured by the MAX30102 sensor on the fingertip were converted into mg/dL for blood glucose, cholesterol, and uric acid using a linear regression method to form regression equations. The converted data were then compared with standard devices to assess their accuracy. Additionally, a moving average filter was applied to reduce noise, smooth the signal, and balance the response to data changes. The measurement results were displayed on an OLED screen, a smartphone application for monitoring history and providing health information, and a speaker announcing the result categories. The results of the study showed that the cholesterol measurement accuracy was 89.71%, with an error rate of 10.29%, the uric acid accuracy was 92.98%, with an error rate of 7.02%, and the blood glucose accuracy was 92.64%, with an error rate of 7.36%.
Co-Authors Ahmad Nugroho Jati Ahmad Taufiq Musaddid Aris Nasuha Arya Sony Bagas Prasetyo Cipto Sabdo Prabowo Dessy Irmawati Fitria Alysa Yasmin Hendarto, Taufik Luthfi Ramadani Masduki Zakarijah Moh Alif Hidayat Sofyan Muhammad Falah Ar-Rasid Nasrulloh Azhar Prasetyo Adi Nugroho Rizky Hidayat Prasetyo Septian Rahman Hakim Soenarto Soenarto Taufik Hendarto