Implementasi Jaringan Saraf Tiruan Dalam Prediksi Penjualan Kue pada UD. Mak Kembar Pematang Siantar Dengan Backpropagation

Hendro Sanjaya (Sistem Informasi, STIKOM Tunas Bangsa, Pematangsiantar, Indonesia)
Harly Okprana (Sistem Informasi, STIKOM Tunas Bangsa, Pematangsiantar, Indonesia)
Bahrudi Efendi Damanik (Komputerisasi Akuntansi, AMIK Tunas Bangsa, Pematangsiantar, Indonesia)

RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI
Vol. 2 No. 5 (2022): RESOLUSI Mei 2022

UD.Mak Kembar is a shop engaged in the sale of cakes and bread, located in Rambung Merah. Until now, UD. Mak Kembar only uses a simple system in marketing information and recording, causing delays in marketing information and in recording sales calculations. Based on the problems above, the authors design and create a system at UD.Mak Kembar. This system applies predictions in its sales, and is built using an artificial neural network with the Backprogation algorithm. The results obtained with the best architecture 4-5-1 with an iterative process (epoch) during training with an epoch value = 75% and SSE achievement at the time of testing with SSE = 0.23950.