Sistem Prediksi Harga KOPI LAMBAR ( Lampung Barat) Dengan Metode Backpropagation, dan Double Exponential ( Studi Kasus BUMDES )

data mining is useful for finding new information.its get more sample data , sample data in big data can use decision making. Arabica coffee is a superior commodity in the plantation sector. The process of predicting coffee prices is related to periodic estimates between the amount of crop yields, the climate at that time, supply and demand at a certain time, using accurate and tested measuring instruments.in research using the backpropagation method, Double Exponential This research aims to produce a coffee price prediction system in the future, this system will be applied in a web-based