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Journal : Medika Trada

Analisis Akurasi Pengukuran Saturasi Oksigen Oximeter TKDN Menggunakan Metode Uncertainy Ari Widiatmoko; Sri arttini Dwi prasetyowati
MEDIKA TRADA : Jurnal Teknik Elektomedik Polbitrada Vol 6 No 2 (2025): MEDIKA TRADA: Jurnal Teknik Elektromedik Polbitrada Vol 6 No 2 (2025)
Publisher : LPPM POLBITRADA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59485/jtemp.v6i2.156

Abstract

This study aims to evaluate the accuracy and effectiveness of several domestic pulse oximeter brands (Elitech, Kaltech, and Endo) and a foreign brand (GE), calibrated using the Prosim SPOT Light SpO₂ Pulse Oximeter Tester. This quantitative study involved three domestically produced oximeters and one imported unit. The oxygen saturation setpoints were varied at 80%, 85%, 90%, 95%, 97%, 98%, 99%, and 100%, with three repetitions for each. Data analysis was conducted using the GUM Uncertainty Method and ANOVA statistical testing. The results show that all oximeters have combined uncertainty (expanded uncertainty, U₉₅) values between 0.58–3.23%, with reading deviations from reference values below ±2%, within acceptable tolerance limits. Kaltech and Endo oximeters demonstrated stable performance with no significant differences across saturation setpoints after calibration. Elitech and GE exhibited higher sensitivity to oxygen saturation variations, particularly at lower ranges. The One-Way ANOVA results indicated that Kaltech and Endo had p-values > 0.05, signifying no significant differences, while Elitech and GE showed p < 0.05, indicating differences between setpoints. Overall, domestically produced oximeters showed equivalent performance to imported devices after standard calibration, supporting the enhancement of Domestic Component Level (TKDN) and strengthening the independence of the national medical device industry.
Pengembangan Sistem Deteksi Anemia Non-Invasif Menggunakan Photoplethysmography (PPG) dan Logika Fuzzy untuk Estimasi Kadar Hemoglobin Yugiantoro, Darojat; Nuryanto Budisusila, Eka; Dwi Prasetyowati, Sri Arttini; Arifin, Bustanul
MEDIKA TRADA : Jurnal Teknik Elektomedik Polbitrada Vol 6 No 2 (2025): MEDIKA TRADA: Jurnal Teknik Elektromedik Polbitrada Vol 6 No 2 (2025)
Publisher : LPPM POLBITRADA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59485/jtemp.v6i2.163

Abstract

The Anemia is a global health issue affecting many individuals worldwide. Traditional anemia detection through invasive blood testing is often costly, time-consuming, and requires trained medical personnel. This study developed a non-invasive anemia detection system based on Photoplethysmography (PPG) technology and fuzzy logic to estimate hemoglobin (Hb) levels and classify the degree of anemia. The system uses a PPG sensor to measure red and infrared light intensities, which are used to calculate the ratio and estimate the hemoglobin levels. The fuzzy logic system then classifies the estimated Hb results into the categories of Severe Anemia, Moderate Anemia, and Mild Anemia. The results of the study indicate that this system provides an estimated hemoglobin level with an accuracy of 92.1%, and can classify anemia degrees with results comparable to conventional blood testing. This system offers a more practical, efficient, and non-invasive alternative for anemia detection and has the potential to be used for self-health monitoring.