The policy of electrical energy conversion requires an energy audit to be right on target. Energy audits require measuring devices and energy usage data recorders in every part of the system. Measurement and recorder integration is using the technology of the Internet of Things (IoT) can facilitate the collection, monitoring, and data analysis. This research is designed and implemented for monitoring the use of electrical energy in real-time by utilizing IoT at a low cost. This system includes a microcontroller that is can communicate via WiFi network type ESP32 Devkit V1, instrument system of measuring electrical energy type PZEM-004T, the connector and wrecker device use Solid State Relay (SSR) and open-source IoT platform. The finding showed that the developed energy monitoring system can successfully record voltage, current, active power, and accumulative power consumption. The monitoring system can be acquiring the power used by the load relatively fast is around 2 to 4 seconds, and the monitoring system uses relatively little power around 5 W.

A circuit breaker is the main part of the distribution panel that needs to control for safe operation. It is important for protection and switching in the power system. Automatic control of circuit breakers using motorized can be realized by the microcontroller scheme. In this paper, a microcontroller equipped with wifi and an internet connection is used to control and monitoring the circuit breaker. The design of the circuit is proposed and experiment result is obtained. The response time is about 1 second to complete the process to control the circuit breaker. Error in monitoring application is about 3% for voltage measurement and 3.5% for current measurement. The proposed circuit system showed good and reliable control and monitoring of circuit breakers in every condition include of closing, opening, and monitoring.

The purpose of this study is utilizing the system that can monitor and control electricity consumption using a smartphone remotely. Finding in this study related monitoring and controlling electricity consumption using wemos D1 Mini and blynk app on a smartphone is quite effective. The electricity consumption information is displayed on LCD of wemos D1 mini and blynk app on a smartphone in the form of voltage, ampere, watt, and frequency. This device has two control function namely local mode and remote mode. Using local mode will generate output load turned on by switch and using remote mode will generate output load activated via blynk app on a smartphone.

Viscosity oil index becomes the prominent indicator in the process of engine generator set lubrication. This simulation design used to inform the oil quality and switch off the generator set when the oil quality is not moderate. DC motor rotation and rotary encoder utilize as controller of oil viscosity. Optocoupler sensor is an RPM controller, LDR light sensor is an oil brightness indicator. DS18B20 sensor is the indicator of temperature when the oil work is at low state 0°C-30°C, normal 30°C-50°C and overheat condition is 50°C-100°C, microcontroller Arduino Uno and fuzzy logic as the software and android as the display. The feasibility test design of the oil generator set microcontroller base using fuzzy logic was obtained as a result of rotation viscosity, oil color, and temperature on an android display to distinguish the good oil quality, medium and moderate. Therefore, this result applies to the pre-alarm on the generator set.

The lighting system is one of the great considerations in the eco airport buildings concept. The buildings are usually designed applying transparent-material-covered walls to get the advantages of natural and artificial lighting combinations to optimize and save the consumed energy. This research proposes the use of a fuzzy logic method to control the artificial lighting in the airport passenger waiting room to obtain effective and efficient lighting energy consumption. Using LEDs as lighting devices, the lighting areas are divided into several rectangle zones to simplify the adjustment. For every zone, LEDs are divided into 4 groups, 2 groups are on the upper side and the others are on the lower side. Each group consists of 2 sets of light lamps and placed between the diagonal-adjacent sensors line. Light sensors are placed on each side of the zone to obtain the optimal control result. The LEDs group will be only affected by the two adjacent sensors that flank them diagonally. The result showed that the LEDs current supply controlled by fuzzy that applied to one zone can give sufficient illumination as the IATA’s requirement which is between 200 – 300 lux on the floor level.