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All Journal e-Jurnal Arus Elektro Indonesia Journal of Robotics and Control (JRC)
Maharesi, Angger
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Aerospace Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Mechanical Engineering

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Implementation of IoT of an Electric Infant Warmer to Prevent Hypothermia in Newborns Fauzi, Ekha Rifki; Maharesi, Angger; Setiyadi, Noor Alis
Journal of Robotics and Control (JRC) Vol 4, No 4 (2023)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v4i4.18539

Abstract

Hypothermia is a drop in body temperature below 36.5°C in newborns. It results in an internal distribution of body heat from the nucleus to the periphery, followed by heat loss greater than metabolic production. Hypothermia is one of the factors predisposing to metabolic disorders, intracranial hemorrhage, respiratory distress, and Necrotizing enterocolitis. Hypothermia problems can be treated with infant warmers. Thus, the need for a infant warmer is considered to improve survival in newborns. This study aims to improve the accuracy of temperature monitoring, increase security, and enable remote monitoring. The temperature sensor of the device is calibrated with comparable devices such as Incubator Analyzer and Thermo hygrometer while the SpO2 sensor is calibrated with Spotlight SpO2 Functional Tester and Thermo hygrometer. Achievement and validation of temperature and oxygen saturation use a calibration comparison tool. The results of the temperature sensor measurements, including air temperature and skin sensor temperature, namely: air temperature error tolerance ≤2°C and skin sensor temperature error tolerance ± 0.5 ° C. All two indicators have the same standard deviation value of ±0.49. The SpO2 indicator reached an error tolerance value of ± 1% O2 with a standard deviation value of ± 0.6-0.9 from six trials. Then the pulse rate indicator obtained an error tolerance of ±5% with a standard deviation value of ±0.6. The smart infant warmer tool provides benefits to avoid excessive heat from the heater and minimize low temperatures that cause hypothermia through the Internet of Things technology. Furthermore, this research can be improved with machine learning technology to increase efficiency and effectiveness in patient treatment.
Thermostat Automation for Controlled Temperature in Simulated Incubator Fauzi, Ekha Rifki; Maharesi, Angger; Doungjan, Kamonthip
Jurnal Arus Elektro Indonesia Vol 9 No 1 (2023)
Publisher : Fakultas Teknik, Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jaei.v9i1.34354

Abstract

Morbiditas dan mortalitas neonatus biasanya disebabkan oleh prematuritas neonatus atau BBLR (berat badan lahir rendah). Selanjutnya, neonatus prematur akan diberi obat pada inkubator. Perangkat inkubator harus membuat lingkungan yang cocok untuk bayi seperti tingkat suhu yang stabil, konsentrasi oksigen, dan kelembaban. Tingkat suhu harus dipantau sekitar 36°-38°C pada perangkat inkubator neonatus. Termostat dapat digunakan untuk mendapatkan suhu batas atas & bawah yang telah ditentukan inkubator. Selain itu, inkubator yang disimulasikan memiliki kunci relai yang berfungsi untuk mencegah perangkat rusak karena aliran listrik yang tidak stabil dari sumber listrik. Inkubator simulasi ini secara khusus dapat digunakan dalam sistem inkubator pada perangkat inkubator.
Co-Authors Doungjan, Kamonthip Fauzi, Ekha Rifki Noor Alis Setiyadi