@thesis{thesis,
		author={Haris  Abdul and SUMARNI  MEILLY and Yosrita  Efy},
		title ={PENERAPAN METODE DOUBLE EXPONENTIAL SMOOTHING (DES) PADA APLIKASI PREDIKSI BEBAN LISTRIK JANGKA PENDEK BERDASARKAN KEBUTUHAN LISTRIK PELANGGAN (STUDI KASUS : PT. PLN (PERSERO) AREA CENGKARENG)},
		year={2018},
		url={http://156.67.221.169/4652/},
		abstract={PT. PLN (Persero) which is the only provider of electricity available in
Indonesia often experience problems resulting from errors in determining the
amount of electrical charges that must be prepared to meet the electricity needs
of customers, because there is no method used in determining the electrical load.
Therefore, an electric load prediction was developed using the double
exponential smoothing method to assist in determining the electrical load
requirement and the mean absolute percentage error method to calculate the
smallest error of prediction which means the calculation result with the highest
accuracy and the lowest error value of 3,93% for customer prediction and 0,01%
for power prediction connected. Testing system used in this research is by black
box method and user acceptance test with got quality calculation result 0.000627
and calculation function point (FP) equal to 69,9975.}
		}