ELECTRICAL ENERGY CONSUMPTION FOR RURAL RESIDENCES IN THE FUTURE
Shelter is a primary need for everyone to take shelter from all circumstances, therefore that shelter must fulfill the need for electricity for daily activities. The need for electricity is predicted to continue to increase every year. Access to electricity will have a positive impact, for example, improving the standard of living of the population. However, many villages in Indonesia are still experiencing poverty. Therefore, the government implemented the 35,000 MW power plant procurement program to overcome the poverty problem. This paper aims to evaluate and analyze the electrical energy provided to the needs of the village community itself in a bottom-up way, namely determining peak loads, electricity consumption, reliability of electricity distribution systems, community characteristics, predicting electricity demand, to determine suitable renewable energy plants developed in rural areas in North Sumatra. One of the uses of electrical energy must be regulated as well as possible so that there is no waste in its use, but still comfortable and safe to use. In addition, comparative studies and influencing factors are analyzed with the dependent variable determined in the form of household electrical energy demand, and the independent variable consists of the intensity of electrical energy users and the number of equipment used in the residence. The proposed research method is descriptive quantitative and comparative. Analysis and evaluation model with multiple linear regression with the help of SPSS software. Comparative research results show that the demand for electrical energy there are differences between urban and rural areas. The results of the t-test (partial) showed that the intensity of the use of electrical energy, and the amount of equipment used have a positive and significant effect on household electricity demand. The results of the F test (simultaneous) obtained the intensity of electricity use, the number of equipment used and the number of family members have a positive effect on household electrical energy demand.
Intensity of Electricity Use, Number of Appliances Used, Number of Family Members, 't-test and 'F' test.