Lots of damages, losses, and costs have been the major concern, why handling natural disasters of tornados is very important. Several attempts using different approaches have been carried out, but up to now the results are not yet satisfactory. More promising approaches through a kind of artificial intelligent forecaster have been started for a while, but the results are still not satisfactory either. The capability of mHGN as a pattern recognizer has opened up a new possibility of recognizing a pattern of tornado many hours earlier. Therefore, it can be used to forecast a tornado more efficiently. The results taken from a simulated circumstances of a multidimensional pattern recognition have shown, that the 91% of accuracy can be regarded as satisfactory. Though, several modifications related to the data representation within the mHGN architecture need to be implemented. The deployment of mHGN in several risky areas of tornados can then be expected as a tool for reducing those damages, losses, and costs.

Public campus has a mandate to saving of electrical energy. Electrical energy consumption is often wasteful in building. There is tendency wasteful by user. Electronic equipment is often still turn on at idle time. Only a few students want to turn off the equipment and shut down the computer. Saving of electrical energy is not only at idle time but it can be improved into operational hour. It is not depending on idle time or operational hours, but depends on human presence. Implementation of electrical energy saving has to be supported by frugal behavior and equipment technology. In this study, we name system of smart detection and control to electrical energy (Sisdece). This system is consist of hardware and software. Hardware applies passive infrared sensor (PIR) sensor, wireless sensor network (WSN), microcontroller ESP32, access point, relay. Software use C++, hypertext preprocessor (PHP), hypertext markup language (HTML) and android studio. Result of measurement has been done in a month during November 2020. Average of energy saved is 12.51 kWh and total of electrical energy is 105.86 kWh. Comparison of energy saved to electrical energy is 11.81%. This is a significant reduction to electrical bill. The result is expected as benchmark of electrical energy management in Politeknik Negeri Medan (POLMED).

This study aims to control energy consumption at idle time or outside working hours in office buildings both government and private so that there is not waste in the use of energy. To control the use of energy, an energy smart control system is developed by applying Wireless Sensor Network (WSN) and Internet of Thing (IoT) technology in order to realize energy efficient to support Smart Campus in Industrial Era 4.0. The Prototype of smart system to control energy testing was conducted at the Politeknik Negeri Medan building. The process of controlling energy consumption at idle time can be done. By controlling energy consumption at idle time office activities have an effect on saving energy.

The problem of meeting the needs of business and industry towards vocational higher education graduates is a discrepancy between the desired skills and the availability of labor. To meet the needs of competent Human Resources (HR) in business and industry, the implementation of Vocational Education (VE) must be quality or smart. This study formulates the factors that influence the implementation of quality VE, the entities contained in the VE system, building framework of VE system base on dynamic system.

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