The smart building campus is still being studied by researchers until now. Given the importance of meeting key performance indicators on smart campuses. Medan Area University is a campus that uses a smart grid system to solve energy management problems. With the position of the Medan Area University being in an area that has the potential to utilize photovoltaic (PV) solar renewable energy sources. With the designation of Google Earth data, the average sunlight intensity in the campus area is 4,528 KWh/m2. The design of the smart grid system is carried out by making solar PV solar as the main source and 4 computers as loads. The fuzzy method was chosen in the smart grid system simulation that has been designed because the fuzzy method can provide decisions in the intersection area. To facilitate analysis The MATLAB program is used to assist in the simulation. So that the output can show results that are close to real conditions. Based on 144 hours of data that has been entered into the fuzzy method, the output shows the results are appropriate to be implemented.

The use of smart grid systems is a good opportunity for the future of electric energy resilience in the future. The design of smart grid systems that use electrical energy sources through the PLN (National Power Plant), PV Solar System and Battery as a backup can improve efficiency in the electricity grid. To ensure that the system is feasible, it is necessary to analyze the power flow in the system. The analysis is performed on each case contained in the network with Gauss-Seidel Method. The analysis shows that case 1 is the most optimal power supply from PLN and RE (Renewable Energy).

This paper tells about a smart grid system. The system uses electrical energy sources through the National Electricity Company, PV Solar Systems and Batteries as a backup. For the load, the rector building, lecture building, hostel and mosque are used. The method of calculating efficiency values uses conventional methods. In the analysis of the efficiency of the use of electrical energy found the highest efficiency value when there is excess energy from the National Electricity Company and as an additional load used batteries to store the excess energy. Demonstrate that the efficiency of electrical energy in smart grid is not only influenced by dynamic loads but also by the addition of other sources of electrical energy. The fluctuations in the use of electric power it will cause variations in efficiency in the system. The highest average value of efficiency is obtained in the third condition of 98.582% where the system experiences excess energy on Saturdays and Sundays and the excess energy is stored on the battery. The addition of the network may be done to anticipate the excess and lack of electrical energy from one network.

Salah satu parameter yang digunakan pelaku bisnis untuk mengukur kinerjanya adalah melalui kualitas layanan. Dalam tulisan ini, dijelaskan konsep pengaruh kualitas pelayanan terhadap kepuasan pelanggan pada PT. PLN (Persero) yang menyediakan energi listrik kepada konsumen. Selain itu juga melihat faktor kualitas pelayanan yang turut berperan dalam menjelaskan kepuasan pelanggan pada perusahaan. Hasilnya menunjukkan bahwa tingkat kualitas pelayanan yang telah diberikan kepada pelanggan sangat mempengaruhi kepuasan pelanggan. Juga menunjukkan perlunya sosialisasi kepada karyawan perusahaan bahwa pelanggan perlu mendapat perhatian penuh sebagai klien atau pelanggan yang membeli produk dan jasa perusahaan.

The utilization of well-managed electrical energy sources will result in high energy efficiency and reliability. Smart grid uses electricity management with 2-way communication that allows loads and sources to corporate each other. Campus is a place that requires priority in the availability of energy and it requires smart grid management. This research will contain smart grid management systems on campus that use multisource to fulfil dynamic loads conditions so as to produce optimal smart grid management. The method that use to analysis the system is conventional method. The optimal smart grid achieved by analysis the sources and loads energy needed and then create a management system that have substantial impact on campus electrical system. The results of this research that smart grid system ensures electrical conditions for the needs of these dynamic loads can be fulfilled which is without a smart grid there is lack of energy for 3 days, whereas with a smart grid there is no lack of energy in the campus building.