Monitoring Cold Air Temperature Using Microcontroller

Authors

  • Fachreza Mohammad Universitas Muhammadiyah Prof. Dr. Hamka
  • Emilia Roza Universitas Muhammadiyah Prof DR HAMKA
  • Mohammad Mujirudin Universitas Muhammadiyah Prof. Dr. HAMKA

DOI:

https://doi.org/10.22236/ate.v1i2.8527

Keywords:

Microcontroller, Raspberry PI, Air Conditioner, DHT11, Infra Red, Web Server

Abstract

The comfort of the home depends not only on furniture and décor but also on the

temperature of the house. Temperatures that are too hot or too cold can create an

uncomfortable atmosphere in the house. Based on the Decree of the Minister of Health

No.261/MENKES/II/1998 On: Occupational Environmental Health Requirements, a good

room temperature range is 18°C - 28° C and humidity 40 % - 60% perpres is also controlled

to regulate temperatures that tend to be high or exceed 28°C. With the Internet of things

(IoT) we can create a room temperature monitoring tool using microcontrollers that can

control the temperature on air conditioners (AC) automatically adjusting comfort standards

thermal room. The standard temperature of room thermal comfort ranges from 20.5°C –

27.1°C. In this study, several components are needed, namely a microcontroller as the

center of the control system, a DHT11 sensor to detect temperature and humidity, infrared

sensor to transmit transmission signals to the air conditioner. It also needs software to

support the creation of this temperature monitoring system, namely, Python IDE, NodeRED, and Web Server. The temperature automation system is made if the room temperature

< 21°C then the ac is off and when the temperature in the room > 30°C then the

temperature of the AC will be lowered to 25°C. The temperature automation system aims

to adjust the room temperature to remain stable at 25 ° C and minimize the use of excessive AC performance. In monitoring the difference value obtained between DHT11 sensor with

digital Hygrometer is worth 0.53 and error percentage is worth 1.75% for measurement

accuracy is 98.24%, uncertainty value of measurement is 0.00673, Efficient infrared sensor

laying is less than 210 cm with a slope of 90 °C against AC..

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Author Biography

Mohammad Mujirudin, Universitas Muhammadiyah Prof. Dr. HAMKA

Department of Electrical Engineering
Faculty of Engineering

Published

2021-07-11