PT. PLN (Persero) Distribusi Jakarta Raya (Disjaya) is a government-owned company that job is to maintain electricity distribution in Jakarta and Tangerang. The company's revenue can be seen from the pattern of the existing data, constantly increasing every year. This research aims to forecast company's revenue. The forecasting method using Artificial Neural Network method with Radial Basis Function (RBF) model based on historic data from January 2010 to December 2015. Based on the result of this research, the best model obtained (1-6-1) with composition 1 Neuron from input layer, 6 Neuron from hidden layer, and 1 Neuron output layer. The MAPE obtained with this model is 1.32 %.
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机译：Pt。 PLN（Persero）Distribusi Jakarta Raya（Disjaya）是一家政府拥有的公司，工作是在雅加达和坦塔康中保持电力分配。公司的收入可以从现有数据的模式看，每年不断增加。本研究旨在预测公司的收入。基于2010年1月至2015年12月的历史数据使用径向基函数（RBF）模型的预测方法（RBF）模型。基于该研究的结果，获得了最佳模型（1-6-1）组成1神经元从输入层，6个神经元来自隐藏层，1个神经元输出层。用该模型获得的MAPE为1.32％。
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