One of the important things to do an electric power system operation is load forecasting. Load forecasting consists of short-term forecasting and short-term forecasting. The very short term load forecasting are required for regulating electrical energy generation, maintenance arrangements and regulating the labor involved. This forecasting is done to decide which plant to operate. The capacity of the plant to be operated adjusts to the load plan to be supplied the next day. The very short-term load forecasting is predicting electrical loads with time intervals every 30 minutes for the next day. In this study using Interval Type-2 Fuzzy Inference System (IT-2FIS) because it delivers a high flexibility that can be developed using other methods (hybrid). Laying out the footprint of uncertainty (FOU) membership function of the Interval Type-2 Fuzzy Inference System (IT-2FIS). This method has been applied for short- term load forecasting and will be employed for very short-term forecasting. In very short-term load forecasting IT-2 FIS has Mean Average Percentage Error (MAPE) arround 0,729%.

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Detection of cigarette smoke is very necessary to increase the level of comfort in a closed room. By implementing an Internet of Thing system in detecting cigarette smoke in the room, making it easier to monitor and control it via a smartphone. In this system, the MQ-2 sensor is used to detect cigarette smoke in the room, the NodemCu microcontroller as a data processor received from the sensor, the buzzer as an indicator sound and the blynk application to display notifications if the room is detected by cigarette smoke. The sensitivity level of the MQ-2 sensor is strongly influenced by the distance of the source of cigarette smoke with the sensor. The use of the internet of thing system affects the signal strength and network on the user’s smartphone which results in a delay when sending notifications. Therefore, a good internet network is needed. The use of IoT technology in detecting cigarette smoke in a room will be an alternative solution to increase the level of security and comfort in a closed room.

Technology continues to grow from year to year that aims to facilitate human work or automation of a system. In this case, the concept of smart laboratory is applied in the laboratory room of Electrical Engineering Faculty of Muhammadiyah University of Sidoarjo by utilizing temperature sensor. This application is used to determine the room temperature as well as the proximity sensor to know the person entering and exiting the room. The sensor is controlled by the NodeMCU microcontroller board to make the system work automatically. For example if someone goes into the room the lights will light up and adjust the temperature with the number of people who are indoors. By applying the internet of things, the system can monitor and control via smartphone updated on realtime firebase databases so that it is not limited by distance because it uses the internet network.

Energy conservation, especially electricity, can be done by conducting an energy audit. Energy audit activities can analyse and find energy-saving opportunities from energy use. This study developed a prototype of a wireless electrical energy monitoring system on a laboratory scale to monitor the use of electrical energy from both electrical equipment using a microcontroller as a sensor node. These nodes have installed several sensors, namely the current sensor, humidity sensor, temperature sensor and light sensor. The protocol used in communication between nodes and servers is the HTTP protocol in the Internet of Things design that can communicate using internet network intermediaries. Data on the server can be monitored in real time using the application on the client side.