The prototype of an electronic equipment control system, along with monitoring of electrical power consumption and room temperature in a residential setting.

Abstract

The rapid advancement of technology has led Indonesia into the era of Industry 4.0, where technological innovations are increasingly utilized for daily activities. Traditionally, people could control electrical devices like lights using switches, but this control was limited by distance, especially in large spaces such as homes. In large rooms, it can be inconvenient to walk all the way to the switch just to turn lights or other devices on or off. Recent advancements in electronics have introduced solutions for remotely controlling electrical appliances, one of which is the Internet of Things (IoT). The IoT technology enables remote management of household devices, making it more convenient to control electronic equipment from a distance. The importance of electricity as a primary need in modern homes is undeniable, with nearly all household appliances relying on electric power. However, the increasing threat of global warming and rising energy costs have made electricity a more expensive commodity. The government’s adjustment of electricity tariffs in 2020 has led to higher monthly energy bills, further exacerbated by high electricity consumption and a lack of awareness in the use of electronic devices. With the current technological advancements, it is possible to automate the control of electronic appliances, optimizing energy usage and minimizing wastage. The research methodology of this study involves a systematic approach to address common issues faced in everyday life. The first step in the research is identifying the problems, followed by a literature review on the components involved, such as the PZEM-004T sensor, ESP32 microcontroller, relay, buzzer, DHT11 sensor, and the Blynk application. The study also includes the preparation of materials, such as purchasing necessary components, designing the control and monitoring system, and integrating it with the Blynk application. The research results show varying success rates when testing the control system, with the success rate calculated by comparing the number of correct commands to the total number of attempts. These results were presented as a percentage. The conclusion drawn from the research is that the control system achieved a high success rate of almost 100%, although it took several minutes to establish a connection between the smartphone and the device when testing from different distances, such as 1 meter, 3 meters, and 5 meters, as well as across different rooms.