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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) JURNAL NASIONAL TEKNIK ELEKTRO Journal of Information Technology and Computer Engineering Jurnal Amplifier: Jurnal Ilmiah Bidang Teknik Elektro dan Komputer Andalas Journal of Electrical and Electronic Engineering Technology Jurnal Andalas: Rekayasa dan Penerapan Teknologi Jurnal Rekayasa elektrika
Melda Latif
Jurusan Teknik Elektro Universitas Andalas
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Other

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Pencegahan Kesalahan Alarm dalam Sistem Pendeteksi Dini Kebakan dan Pemadaman Berbasis Internet of Things Muharam, Mumuh; Latif, Melda; Baharuddin, Baharuddin; Richaflor, Ibnum
JITCE (Journal of Information Technology and Computer Engineering) Vol. 4 No. 02 (2020)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.4.02.53-62.2020

Abstract

False alarm in fire detection can cause a huge loss. False alarm is generated by unwanted signal of smoke detector such as outdoor smoke or smoking. Therefore, it is designed a system that can reduce false alarm. The purposed system is built based on three components, those are sensors, actuators and data communication. Sensors are smoke, flame and camera sensor. Smoke sensor is used as the first thing to sense a signal from the system that warns the system there is a fire. Flame sensor and camera are used to confirm that a signal of fire whether false alarm or not. Internet of Things (IoT) is applied to control the system. The result show that the system is applicable.
Electromedical Device And Expert System for Early Detection of Hyperemesis Gravidarum Fitrilina, Fitrilina; Ganesha; Handayani, Yanolanda Suzantry; Surapati, Alex; Untari, Rahayu Trisetyowati; Laksono, Heru Dibyo; Latif, Melda
JURNAL NASIONAL TEKNIK ELEKTRO Vol 12, No 3: November 2023
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v12n3.1130.2023

Abstract

Hyperemesis Gravidarum (HG) is a pregnancy complication that is often overlooked as it is typically considered normal. If HG is not properly treated, nutrition will not be fulfilled which can negatively affect maternal and fetal health and even maternal and fetal death. The exact cause of HG is not identified, so there are no effective preventive methods. However early detection can help for prompt and appropriate treatment. Therefore, a monitoring system for pregnancy conditions was designed for HG early detection. This system employs the MPX5050 DP pressure sensor for measuring blood pressure, the MAX30100 for assessing maternal heart rate and oxygen saturation, the MAX4466 sensor for monitoring fetal heart rate, and an expert system using the certainty factor method to diagnose the probability of hyperemesis gravidarum. The expert system achieves an accuracy of 93.33%. In comparison to the aneroid sphygmomanometer, the designed sphygmomanometer reveals a mean difference of 3.5 mmHg for diastolic pressure, with a standard deviation below 8 mmHg for both systolic and diastolic pressures. The measurement of heart rate and oxygen saturation has a deviation of 1.8 % and 1.02 % respectively. These deviations align with the standards specified by the Ministry of Health for medical devices. For the fetal heart rate, the mean deviation is 3.4 bpm, and the measurement error is 2.38%. Thus, this system can be utilized to monitor pregnancy conditions, enabling the early detection of hyperemesis gravidarum
Co-Authors . Darwison Abdul Rajab Ahmad Ahmad Amirul Luthfi Andi Pawawoi Anugrah Valdesio Arif Dwi Fajri Aulia Aulia Baharuddin Baharuddin Eka Fitrianto Farizi, AL Fitrilina, Fitrilina GANESHA Gunawan, Eko Amri Gusriwandi Gusriwandi Hamdi Reza Handayani, Yanolanda Suzantry Laksono, Heru Dibyo Mahendri Saputra Mayang Safira Muhammad Imran Hamid Mumuh Muharam Novizon, Novizon Nuri Hayati Paskalina Aprila Tiy Pinto Anugrah Purwoko, Agus Refdinal Nazir Reri Afrianita Reza, Hamdi Richaflor, Ibnum Saputra, Mahendri Surapati, Alex Syafrizal, Rifky Syukri Yunus Ullya Mega Wahyuni Untari, Rahayu Trisetyowati Uyung Gatot Syafrawi Dinata Valdesio, Anugrah Waweru Njeri Yonggi Puriza Zaini, Zaini