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All Journal JET (Journal of Electrical Technology) RELE: Rekayasa Elektrikal dan Energi Jurnal Teknik Elektro Jurnal Mantik Penusa Jurnal Mantik ABDI SABHA (Jurnal Pengabdian kepada Masyarakat) Mejuajua
Suprianto
Politeknik Negeri Medan
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Journal : Jurnal Mantik

 1 
Body Temperature Monitoring System For Covid-19 Prevention Using Amg8833 Thermal Sensor Based On Internet Of Things Muhammad Rusdi; Suprianto; Fitria Nova Hulu
Jurnal Mantik Vol. 5 No. 2 (2021): Augustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

The spread of the Covid-19 virus which continues to grow and is worrying to date with its increasing number of victims, encourages the Government to continue to take measures to prevent the spread of the Corona virus. One of the government's efforts to prevent COVID-19 is to monitor the health condition of the human body. One of them is detecting the human body temperature, because body temperature with a temperature above a certain limit is one of the symptoms of covid-19. The normal human body temperature ranges from 36 degrees to 37 degrees. However, for the current situation related to the corona virus pandemic, temperatures above 37 degrees have become temperatures that must be watched out for. This study aims to make a prototype of a body temperature monitoring system for the prevention of Covid-19 based on Internet of Things (IoT) The prototype designed uses an AMG8833 thermal sensor which will measure a person's body temperature with infrared which can identify a person's health through his body heat and also uses an ultrasonic sensor to measure a person's distance with the thermal sensor. The results of body temperature monitoring can be accessed on the cellphone through the blink application. From the results of the discussion, it was found that the body temperature monitoring system for the prevention of Covid-19 using AMG8833 thermal sensor the based on IoT was successfully designed and implemented in a prototype form. AMG 8833 thermal sensor works well in measuring human body temperature up to a distance of 20 with an average error of 1.18%. The level of accuracy of the body temperature monitoring system using the AMG 8833 thermal sensor is 98.82%.
Internet of things to controlling building electrical equipment Muhammad Adam; Roslina; Suprianto; Mardiana
Jurnal Mantik Vol. 6 No. 4 (2023): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v6i4.3432

Abstract

The use of electrical energy that is not used as needed will lead to wastage of electrical energy. Research on the application of the Internet of Things for controlling electrical equipment specifically for the electric load of lighting lamps on the first floor of Building C, the Department of Electrical Engineering, Medan State Polytechnic aims to implement an IoT system for controlling electric lighting with scheduling mode, remote control mode via internet network and light sensor mode. Thus controlling electrical equipment, in this case lighting, can be done easily through automation of the IoT system at any time and anywhere. The specific target to be achieved in this research is implementing an IoT system for controlling lighting electrical equipment in scheduling mode, remote control mode via the internet network and light sensor mode. The method used in this research is the experimental method, which collects data from observations and designs, which is then tested. The research output target is applied vocational products that are implemented in the Department of Electrical Engineering, Medan State Polytechnic. the equipment used is PZEM 004T Sensor, Photocell, RTC DS 3231, NodeMCu ESP 8266, Triac BT 136, MOC3021 Triac Driven Optoisolator, Contactor, Relay, Photocell, CT and other supporting equipment
The The rooftop solar power plant of electrical engineering department of medan state polytechnic with the internet of things Suprianto; Afritha Amelia; Cholish; Abdullah
Jurnal Mantik Vol. 6 No. 4 (2023): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v6i4.3491

Abstract

The use of renewable energy for electricity generation in Indonesia and the world continues to increase because it is environmentally friendly and does not depend on fossil fuels. Research on rooftop solar power plants at the Medan State Polytechnic Building, Department of Electrical Engineering with internet of things aims to implement rooftop solar power plants and determine the performance of rooftop solar power plants in serving electrical loads by controlling electrical loads using the Internet of things. The contribution of this research provides an academic reference for the effective design of a rooftop solar power plant electrical system and savings on electricity bills, especially in the Electrical Engineering Department of the Medan State Polytechnic. The method used in this study is an experimental method, namely collecting data from measurement results, then conducting studies and analysis. The equipment used is NodeMCU ESP 8266, 3300wp photovoltaic module, PZEM 004T sensor, Triac BT 136, inverter, RTC DS 3231, contactor, electricity meter, temperature and light intensity meter, battery system, control panel and other supporting equipment. the internet of things as a load controller from a solar power plant can effectively contribute to saving electricity consumption because reluctance to turn off lights that are not used doesn't make sense because they can be controlled remotely or in close proximity practically using a cellphone via the blynk application. Full load is applied to the solar power plant by activating the four lighting load group buttons on the Blynk IoT app. The average battery voltage at loading is 51.6 volts from a normal battery voltage of 48 volts with the lowest battery voltage of 48.5 volts and the highest battery voltage of 54.31 volts. This rooftop solar power plant in Building C of the Medan State Polytechnic is capable of serving a load of 685 watts for a fixed load that is installed for 11 hours of loading.
Co-Authors Abdul Rahim Bin Ridzuan Abdullah Adam, Muhammad Afritha Amelia Ahmad Sumantri Arridina Susan Silitonga Bakti, Imam Rangga Batubara, Febrin Aulia Bunda, Yola Permata Cholish Cholish Fitria Nova Hulu Haq, Moh Zainul Maharani Putri mardiana Muhammad Fadlan Siregar Muhammad Fadlan Siregar Muhammad Rusdi Nooritawati Md Tahir Pius Fernando Hutauruk Priansus Rhein Rumahorbo Roslina, Roslina