The optimalization of backpropagation neural networks to simplify decision making

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Abstract

Private or public companies need tools to make easy decision making process. This research conducted at PT. FIF Medan. Focus in decision making to provision motor vehicle loans. The study do because PT. FIF Medan has problems to determining whether consumers are given financing. Research using Back Propagation Neural Network. Back Propagation Neural Network is a method that simplifies complex problems. Simplifying model by taking the most essential core issues. Research will be carried out with the stages of identifying problems, determining needs, analyzing, and choosing alternatives. 8 (eight) criteria will be parameters, including the amount of dependents, length of work, home status, history of finance, employee workplace, vehicle type, financing tenure, and monthly income.

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APA

Purba, R. A., Samsir, S., Siddik, M., Sondang, S., & Nasir, M. F. (2020). The optimalization of backpropagation neural networks to simplify decision making. In IOP Conference Series: Materials Science and Engineering (Vol. 830). Institute of Physics Publishing. https://doi.org/10.1088/1757-899X/830/2/022091

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