Peramalan Nilai Penjualan Gas Elpiji 3 Kg di Sumatera Utara dengan bantuan Analisis Metode Jaringan Saraf Tiruan
- Maulidya Rahma Siregar STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
- Adinda Putri Azhari STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
- Dedy Hartama STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
-
Agus Perdana Windarto
*
STIKOM Tunas Bangsa, Pematangsiantar,
Indonesia
(*) Corresponding Author
Abstract
This research is related to forecasting the sales value of 3 Kg LPG in North Sumatra. The level of sales is influenced by customer satisfaction, service and customer needs. The purpose of this study is to determine the level of sales of 3 Kg LPG in North Sumatra and can overcome problems and overcome the amount of LPG demand in North Sumatra. So this research is needed using an artificial neural network method with a backpropagation algorithm to find the best sales results. The data used is divided into 2 parts, namely training and test data. The best network is taken from the Mean Square error (MSE) value and the smallest test. The experiments carried out in this study used a data rotation pattern, with 6 training and testing models. The experimental results of the 3-10-1 model are tests with the highest accuracy value, which is 100% and the MSE test is 0.00100005
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