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p-Index From 2020 - 2025
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This Author published in this journals
All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) e-Jurnal Arus Elektro Indonesia Journal of Electrical Engineering and Computer (JEECOM)
Doungjan, Kamonthip
Unknown Affiliation
Control & Systems Engineering Electrical & Electronics Engineering Energy

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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.
Development and Deployment of an IoT-Based Telemedicine System for Infant Warming Devices Fauzi, Ekha Rifki; Doungjan, Kamonthip; Respati, Hanif Budi
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 1 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i1.10763

Abstract

Neonatal hypothermia is a serious health concern, especially for premature babies and those with low birth weight, often resulting in complications like metabolic acidosis, hypoxia, and an increased risk of other health issues. To address this, newborn warming technologies have been developed, offering a controlled environment to regulate the baby’s body temperature. This study focuses on creating and implementing an IoT-powered telemedicine system that works with an infant warming device to enhance neonatal care. The system includes sensors to monitor temperature and heart rate in real time, ensuring the baby's safety and promoting the best possible clinical outcomes. With IoT architecture, healthcare professionals can remotely manage and monitor the baby's condition, making quick decisions when necessary. This approach overcomes the limitations of current devices by incorporating fuzzy logic control alongside real-time telemedicine features, all accessible via portable devices. By integrating these technologies, the system offers a solution to managing neonatal hypothermia, especially in settings with limited resources. Additionally, it has the potential to cut down on hospital transfers, improve outcomes for newborns, and ease the burden on caregivers and families. The research suggests that this IoT-enabled infant warming system could significantly boost the effectiveness of neonatal care, making it an invaluable tool for healthcare professionals.
A novel fetal Doppler calibrator: enhancing the precision of fetal heart rate monitoring Fauzi, Ekha Rifki; Setiyadi, Noor Alis; Doungjan, Kamonthip
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i2.pp873-881

Abstract

The congenital heart disease is associated with abnormal brain development in the womb of pregnant women where fetuses with congenital heart disease are at higher risk of miscarriage compared to the general population. Fetal and neonatal risk identification and assessment are essential for comprehensive risk stratification after diagnosis of congenital heart disease. This study aims to improve the accuracy of Doppler fetal measurements in the diagnosis of congenital heart disease risk with calibrators. This study used an experiment of a calibrator with four push buttons embedded to increase and decrease the beat per minute (BPM) value by comparing the BPM value of the Doppler fetal. The measurement was carried out by comparing the values of the calibrator and the Doppler fetal with units and tens of BPM. Statistical analysis used the paired sample T-Test. The measurement obtained a significant p-value of <0.05 with 95% CI. Furthermore, this calibrator does not have a difference in accuracy level with a Doppler fetal. This states that the calibrator has the feasibility to calibrate the fetal Doppler in the fetal heart examination service for pregnant women. This study has the prospect of improving the technology with the embedding of the internet of things (IoT).
Co-Authors Fauzi, Ekha Rifki Maharesi, Angger Noor Alis Setiyadi Respati, Hanif Budi