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All Journal Petir Journal of Informatics and Communication Technology (JICT)
Gunawan Osman
Universitas Mohammad Husni Thamrin
Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Mathematics

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Design An Infant Warmer With Android-Based Temperature Monitoring Lukman Medriavin Silalahi; Gunawan Osman; Freddy Artadima Silaban; Imelda Uli Vistalina Simanjuntak; Agus Dendi Rochendi
Journal of Informatics and Communication Technology (JICT) Vol 3 No 2 (2021)
Publisher : PPM Institut Teknologi Telkom Telkom Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (424.684 KB) | DOI: 10.52661/j_ict.v3i2.86

Abstract

Infant Warmer design testing or calibration with Android-based Temperature Monitoring is highly dependent on infant warmer modeling equipped with a microcontroller-based APGAR timer using 2 modes (water mode and skin mode) the timer can be activated by sound. The purpose of this research is to design an infant warmer tool with an Android-based temperature monitoring system using a research method consisting of several stages including the required voltage supply of AC 220V and dc voltage supply required by 5V, temperature setting in this Infant Warmer Design tool using temperature settings 36 - 37 °C , an effective distance of 8 meters of temperature monitoring, and a display on LCD devices and android apps. The result of this research is an infant warmer design module with Android-based monitoring and temperature monitoring with the application can work according to its function. The correction value measured in the temperature test was 33 °C at 0.16 °C, the temperature was 35 °C at 0.085 °C, the temperature was 37 °C at 0.1 °C, so the prototype could still be used. The relative percentage of errors is 0.2 % - 0.4% .from the comparison between kalibtor incu analyzer tools.
Perancangan Purwarupa Pendeteksian Masker Menggunakan Mobilenetv2 dan Sensor Suhu GY-906 MLX-90614 Berbasis OpenCV Lukman Medriavin Silalahi; David Martin Antoyo; Setiyo Budiyanto; Imelda Uli Vistalina Simanjuntak; Gunawan Osman; Agus Dendi Rochendi; Raden Sutiadi
PETIR Vol 15 No 1 (2022): PETIR (Jurnal Pengkajian Dan Penerapan Teknik Informatika)
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33322/petir.v15i1.1346

Abstract

The background of this research problem is the handling of the Covid-19 virus by using masks and regular body temperature measurements for each user entering/exiting a building. So this research aims to monitor people in carrying out the principle of using a mask and detecting a person's temperature with a limit not exceeding the normal temperature of 37.5 selsius. Outside of this research is the design of a face mask detection system and can measure a person's body temperature using Python programming that contains OpenCV, MobileNetV2 and gy-906 MLX 90614 non contact temperature sensors. the results of this research can be concluded that face mask detection can be done in the range of 50cm to 1.5m while face detection can be detected up to 3m when conducting real time testing and has a success rate of detecting face masks 86.6% to 93.3% from 15 times the experiments that have been conducted.
Co-Authors Agus Dendi Rochendi David Martin Antoyo Freddy Artadima Silaban Imelda Uli Vistalina Simanjuntak Lukman Medriavin Silalahi Raden Sutiadi Setiyo Budiyanto