Jurnal Mnemonic
Vol 5 No 1 (2022): Mnemonic Vol. 5 No. 1

METODE JARINGAN SYARAF TIRUAN UNTUK MEMPREDIKSI PENJUALAN PAKAIAN PADA DISTRO DI LAMONGAN

M. Rosidi Zamroni (Unknown)
Siti Mujilahwati (Teknik Informatika, Fakultas Teknik, Universitas Islam Lamongan)



Article Info

Publish Date
30 Jan 2022

Abstract

The most important indicator in business is the amount of sales. The magnitude of the level of sales affects the profits earned by the company which also affects the competition in business competition. To determine a marketing strategy, it is necessary to make accurate predictions about future market conditions, so the authors initiate forecasting using the Backpropagation Neural Network method. Beckpropagation is an algorithm that can train the network in the previous situation. The training will adjust the weights in the network as new inputs for predicting sales. The pattern used is 12-10-1, meaning that there are 12 input sales values for 12 months, 10 neurons in the hidden layer, and 1 sales output value during the following month. The results of this study were obtained at epoch 211 with an MSE value of 0.00098405, an accuracy of 79.14%, while an MSE of 0.2139.

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Journal Info

Abbrev

mnemonic

Publisher

Subject

Computer Science & IT

Description

Jurnal Mnemonic adalah jurnal nasional yang diterbitkan oleh Teknik Informatika Institut Teknologi Nasional Malang, sebagai media publikasi hasil penelitan dan pengabdian masyarakat dalam bidang Teknik Informatika bagi para akademisi dan peneliti untuk mempublikasikan karya-karya ilmiah di khalayak ...