IMPLEMENTASIALGORITMA BACKPROPAGATIONUNTUK MEMPREDIKSI HARGA JUAL RUMAHBERDASARKAN HARGA BAHAN BAKU

IMPLEMENTASIALGORITMA BACKPROPAGATIONUNTUK MEMPREDIKSI HARGA JUAL RUMAHBERDASARKAN HARGA BAHAN BAKU

Artificial Neural Networks, Backpropagation, Forecasting

Housing developers often find it difficult to determine the selling price of the house. One of the main factors to determine the selling price of the house. One of the main factors to determine the selling price of the homes isinformation regarding the use of raw material prices. Companies need information inprices of row material price fluctuations, air, causing the company is difficult to predict the selling price of the house next period. Forecasting methods used in this system is backpropagation neural networkmethod that refers to a component of time series data forecasting random or random variance with the initial process for determining autocorrelation input variables. This propagation method is proven to predict the selling price of the house

Silvia Ningsih1, Vany Terisia2 (*

https://ojs.itb-ad.ac.id/index.php/JUSIN/article/view/856/282

ITB Ahmad Dahlan, Jakarta

2020

Fajar bagus W

PDF

Indonesia

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