Implementation System of Health Care Kiosk for Detecting Cholesterol Disease, Uric Acid, Obesity and Hypoxia

  • Heny Yuniarti Informatics and Computer Engineering Department, Politeknik Elektronika Negeri Surabaya
  • Riyanto Sigit Informatics and Computer Engineering Department, Politeknik Elektronika Negeri Surabaya
  • Amran Zamzami Informatics and Computer Engineering Department, Politeknik Elektronika Negeri Surabaya
https://doi.org/10.25139/inform.v7i1.4566
Abstract views: 130 , PDF downloads: 167
Keywords: Ultrasonic sensor, Load Cell Sensor, Electrode-Based biosensor, Pulse and Oxygen in Blood Sensor (SPO2), Fuzzy Logic

Abstract

The development of technological advances in the health sector in the last decades has grown very rapidly. Currently, most people do not receive routine medical check-ups because of the long lines of patients and the expensive rates they must pay to see a specialist doctor. This causes many people to ignore the importance of routine health checks as recommended by the National Health Agency. The purpose of this research is to make a device that can perform routine checks independently at home, using an Arduino microcontroller for checking cholesterol, uric acid, obesity, and hypoxia. This tool has several sensors, namely Ultrasonic & Load Cell sensors to measure weight and height, which are used to detect obesity through the BMI table. In addition, there is a Pulse and Oxygen in Blood Sensor (SPO2) sensor to detect heart rate and oxygen saturation to detect hypoxia using the fuzzy logic method. Cholesterol and uric acid examination using the Electrode Based biosensor method with a digital detection device (amperometric biosensor). Testing the Tsukamoto fuzzy logic method system obtained a data accuracy value of 100%, following the rules set for classifying hypoxic diseases. The trial phase was carried out as many as 10 trials, where 90% of patients did not experience hypoxia, and 10% had mild hypoxia. The results of testing the BMI table method system for obesity obtained a data accuracy value of 100% according to the calculation of the BMI calculator. In phase 10 trials, 30% of patients were lean, 50% obese, and 20% obese. The system test results use a range of values, each with a data accuracy value of 100% according to the classification of cholesterol and uric acid levels. Ten trials showed that 70% of patients were in normal condition, 20% of patients with low cholesterol, and 10% of patients were in high limits. As for gout, 70% of patients are in normal condition, and 30% of patients are in high uric acid condition.

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Published
2022-06-09
How to Cite
Heny Yuniarti, Riyanto Sigit, & Amran Zamzami. (2022). Implementation System of Health Care Kiosk for Detecting Cholesterol Disease, Uric Acid, Obesity and Hypoxia. Inform : Jurnal Ilmiah Bidang Teknologi Informasi Dan Komunikasi, 7(1), 40-47. https://doi.org/10.25139/inform.v7i1.4566
Issue
Vol. 7 No. 1 (2022)
Section
Articles

Copyright (c) 2022 Heny Yuniarti, Riyanto Sigit, Amran Zamzami

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