@thesis{thesis,
		author={AZIS  MUHAMMAD and Susanto  Djoko},
		title ={STUDI PERAMALAN BEBAN LISTRIK JANGKA PENDEK MENGGUNAKAN METODE REGRESI LINIER DAN KOEFISIEN ENERGI DI GARDU INDUK KEBON JERUK},
		year={2019},
		url={http://156.67.221.169/1563/},
		abstract={The dependence of the community on electricity consumption is currently very high, not only for lighting needs, but also to support other activities such as economic activities. The high demand for electrical system at PT. PLN (PERSERO). One way that can be done is to forecast the electrical energy needs and the electricity burden of the household sector in the next few periods. Forecasting electrical energy needs is done as one of the guidelines for planning the development of the electricity industry in Indonesia in making electricity energy planning policies. In this study, forecasting was carried out using two different methods, namely the energy coefficient method and linear regression method to get the smallest error value. Based on the result of the research that has been done by comparing the error and accuracy values generated by the energy coefficient method and linear regression, it is obtained if the linear regression method has a better level of forecasting than the energy coefficient method. The linear regression result showed an average error of 7.92% with an accuracy of 92.08% and the average energy coefficient error reached 10.46% with an accuracy of 89.54%. these result indicate that forecasting with a linear regression method is better than the energy coefficient method.}
		}