Peramalan Nilai Penjualan Gas Elpiji 3 Kg di Sumatera Utara dengan bantuan Analisis Metode Jaringan Saraf Tiruan

Maulidya Rahma Siregar (STIKOM Tunas Bangsa, Pematangsiantar)
Adinda Putri Azhari (STIKOM Tunas Bangsa, Pematangsiantar)
Dedy Hartama (STIKOM Tunas Bangsa, Pematangsiantar)
Agus Perdana Windarto (STIKOM Tunas Bangsa, Pematangsiantar)

Bulletin of Artificial Intelligence
Vol 1 No 2 (2022): October 2022

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