Stock price prediction is useful for investor to understand how investment goes in an organization in the future. Prediction can anticipate stock price fluctuation. Prediction will help investor to make decision. Usually, fundamental analysis and technical analysis is used for prediction. In this paper, Neural Networks is used. To get a solution Multilayer Feedforward Network (MLFN) Neural Network method with suervised algorithm is applied. The supervised algorithm used for stock price prediction is Backpropagation. This algorithm can supervise the netwoks by using previous stock price data, classifying them and putting wight on the networks. As results, stock price prediction with neural network gets less error. It gives a conclusion that prediction using neural network MLFN backpropagation is better than any conventional method. Keywords: Neural Network, Multilayer Feedforward Network, Backpropagation