@thesis{thesis,
		author={Arba Aziz  Fahaz and Oktaviana Putri  Tri Wahyu},
		title ={ANALISIS PERAMALAN BEBAN HARIAN PADA GARDU INDUK DEPOK BARU MENGGUNAKAN METODE AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA)},
		year={2022},
		url={http://156.67.221.169/5050/},
		abstract={Electrical energy is currently very much needed by all people, electrical energy is also
very useful for many aspects of life, therefore it is very necessary to have a qualified
distribution of electrical energy so that consumers of electrical energy can be served
properly. Before the electric power is distributed to the distribution network, the electrical
power is first lowered through the substation where this substation will lower the voltage
from 500kv to 20kv for further electrical power is distributed to the distribution network.
This substation serves the number of feeders where each feeder is distributed 20kv each
with different loads. The total load of this number of feeders varies each day. From the
difference in daily load at this substation, this study discusses daily load forecasting at
the substation where the data for the substation used is Depok Baru substation. The data
used is daily load data from January to April. This forecasting uses the autoregressive
integrated moving average method or what is called ARIMA. To determine the accuracy
of the forecasting results, the mean absolute percentage error method or the so-called
MAPE method is used, where the forecasting results are compared with real data and the
percentage error calculated from the ARIMA method is calculated. From the data
processing, the forecasting results showed that the MAPE results were 0.01968 which
indicated that the forecasting results were accurate.}
		}