Energy Saving Management with Suggestion Method in Home Automation based on User Habits

In designing an automation system to help make it easier for humans to control and monitor household appliances or smart houses often experience problems with the problem of estimating the increasing burden of electric current because it uses additional tools to control the household appliances. To reduce this view, it can be solved by regulating the energy to be consumed from the household appliance by using a smart meter as a monitoring device specifically designed with excess internet to send data taken from the energy meter and then the incoming data can be processed analyzed from the peak current demand of electric current using the User Habits method which will be combined with the energy scheduling method and combined with suggestion turning on or off the household appliances, so that it is expected to provide comfort and effectiveness in using Home Automation. Effectiveness means that all home appliances or intruments must be running properly first, such as KWH meters, the lamp, switches, dispensers, mini server (local saving), and data center (global saving). And then, after the effectiveness has been running good or smooth the author continues his research into efficiency, namely an energy saving mode with an energy management process based on user habits.