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Abstract
Up to now, unemployment is one of unresolved problems despite all efforts carried out to lower the
number and always an interesting topic to discuss. This research tried to develop a prediction system to depict
unemployment growth year by year using artificial neural network with backpropagation training.
Backpropagation was used because of its capability to recognize trained data pattern and was suitable to be
used in prediction system with a lot of data input.This application was developed using Visual Basic 6 and aimed
to give prediction on unemployment growth to determine the number of workfields should be provided.
Keywords: Artificial Neural Network, Unemployment, Backpropagation, Prediction
number and always an interesting topic to discuss. This research tried to develop a prediction system to depict
unemployment growth year by year using artificial neural network with backpropagation training.
Backpropagation was used because of its capability to recognize trained data pattern and was suitable to be
used in prediction system with a lot of data input.This application was developed using Visual Basic 6 and aimed
to give prediction on unemployment growth to determine the number of workfields should be provided.
Keywords: Artificial Neural Network, Unemployment, Backpropagation, Prediction