Penerapan Metode Neural Network Dengan Struktur Backpropagation Untuk Memprediksi Kebutuhan Stok Pada Toko Umkm Perlengkapan Bayi Babyqu

Abstract

At this time Machine Learning especially Deep Learning is developing very quickly in any field, especially in the fields of business, transactions, stock predictions, sales, and stocks and the like. Machine Learning has become a mainstay for facilitating and helping work. At the BabyQu store, the decisions used to carry out stock inventory still use the manual method, and there are several problems that arise including the occurrence of excess stock which makes other storage areas used for excess stock, especially if there are products that have an expiration date, and if there is a shortage of stock, problems will occur that will make consumers who need products or goods go to other places and several other problems that will arise which will cause losses to BabyQu stores, it is necessary to create a system or software that aims to assist BabyQu stores in forecasting stock availability product to overcomesome of these problems. This research was made using the Artificial Neural Network (ANN) model design and method using Backpropagation as the algorithm because this algorithm can reduce the percentage of errors. The results we got in this study using the 3-3-1 model obtained an accuracy rate of 85.72%, using 550 iterations of epochs, and taking approximately 11.1 seconds.

Pemberdayaan Industri Pengerajin Bambu di Dusun Gunung Mijil untuk Meningkatkan Penjualan melalui Pemasaran Digital

“…Selain itu, UMKM juga dihadapkan dengan berbagai masalah lain seperti keterbatasan modal, manajemen yang kurang efektif, kurangnya akses terhadap teknologi, dan kurangnya akses terhadap pasar yang lebih luas. Masalah-masalah ini mempengaruhi kinerja UMKM dan menjadi kendala yang perlu diatasi agar UMKM dapat tumbuh dan berkembang dengan baik [4] [5]. Untuk mengatasi berbagai kendala yang dihadapi oleh UMKM, pemerintah dan berbagai lembaga terkait telah memberikan berbagai dukungan seperti program pelatihan, bantuan modal, akses ke pasar, serta akses ke teknologi dan Informasi [6] [7].…”