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All Journal Celebes Health Journal Lontara: Journal of Health Science and Technology Journal of Training and Community Service Adpertisi Lontara Journal Of Health Science And Technology
Usman Umar
Politeknik Kesehatan Muhammadiyah Makassar
Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Medicine & Pharmacology Nursing Public Health Other

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Journal : Lontara Journal Of Health Science And Technology

 1 
Analisa Keakuratan Kadar Glukosa Darah Menggunakan Clarke-Error Grid Analisis pada Alat Ukur Non-invasive menggunakan Sensor Photoacoustic Usman Umar; Risnawaty Alyah; Imran Amin
Lontara Journal of Health Science and Technology Vol 1 No 2 (2020): Ilmu dan Teknologi Kesehatan
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Politeknik Kesehatan Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53861/lontarariset.v1i2.80

Abstract

Blood glucose is a very important element in the human body, but if it is deficient or excessive, it can cause chronic disease that can lead to death. To prevent this, it is necessary to monitor cholesterol and blood glucose levels regularly, at this time the tool for measuring blood glucose levels is still an invasive method by taking a blood sample at the fingertip by injuring it. This study aims to develop a non-invasive blood glucose measuring device using a Photoacoustic Spectroscopy sensor in the range of values from a laser pulse source (λ = 650 nm) which can detect glucose signals in the blood. The method of developing this research is by designing a non-invasive measuring instrument and measuring blood glucose levels in male and female participants to create a linearity equation between blood glucose levels and the output voltage from the sensor, then mathematically obtained a polynominal equation to convert the voltage to values. blood glucose level. Validation of measuring instruments designed by comparing invasive measuring instruments as a reference, using the Clarke EGA to determine accuracy based on the classification of values of blood glucose and blood cholesterol levels based on reference. The results of the Clarke EGA analysis show that all measurement data is in Zone A so that the measuring instrument with a photoacoustic sensor can be accepted.
Desain Alat Ukur Kadar Asam Urat Non-Invasive Dengan Sensor Near Infrared Usman Umar; Hasmah Hasmah; Risnawaty Alyah; Anita Nur Syam
Lontara Journal of Health Science and Technology Vol 2 No 2 (2021): Ilmu dan Teknologi Kesehatan
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Politeknik Kesehatan Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53861/lontarariset.v2i2.217

Abstract

Gout disease or commonly known as gout arthritis is a disease caused by the accumulation of monosodium urate crystals in the body. Monitoring blood uric acid levels is currently still using invasive techniques by taking blood samples to be included in the test strip, this invasive technique measurement requires money and time to come to health clinics so that many people cannot monitor blood uric acid levels on a regular basis. This study aims to develop a measuring instrument for monitoring blood uric acid levels using sensors by utilizing the absorption and reflectance of infrared rays so that gout sufferers and other individuals can monitor blood uric acid levels regularly and are easy to use. The method of developing non-invasive techniques focuses on monitoring blood uric acid levels using a NIR sensor with an IR LED with a wavelength of 940 nm as a transmitter and a photodiode as a detector at a wavelength of 700-1300 nm and a microcontroller as a minimum system for control. The first stage is measuring uric acid levels with invasive techniques on participants and at the same time measuring voltages with sensors, the results with invasive techniques are correlated with sensor output voltages to obtain non-linear equations in polynomial form, for conversion programs on the microcontroller. The second stage is measuring uric acid levels with invasive techniques and invasive measurements on participants at the same time. Both monitoring results were analyzed by simple ANOVA statistics and calculated SEP and RMSE to determine the accuracy of the prediction equation and its accuracy value.
Co-Authors Anita Nur Syam Hasmah Hasmah Imran Amin Imran Amin Risnawaty Alyah