Jaringan Saraf Tiruan (JST) Memprediksi Penjualan UMKM Kota Binjai dengan menggunakan Metode Backpropagation

Sherly Eka Wahyuni; Relita Buaton; Suci Ramadani

doi:10.62951/bridge.v2i4.214

Jaringan Saraf Tiruan (JST) Memprediksi Penjualan UMKM Kota Binjai dengan menggunakan Metode Backpropagation

Authors

Sherly Eka Wahyuni STMIK Kaputama
Relita Buaton STMIK Kaputama
Suci Ramadani STMIK Kaputama

DOI:

https://doi.org/10.62951/bridge.v2i4.214

Keywords:

Artificial Neural Network, Sales Prediction, MSME, Backpropagation

Abstract

The development of information technology that is currently developing serves to facilitate, accelerate, benefit and provide other alternatives for people who have businesses and have a big influence in the future. One of the things that is very influential is the sale of MSMEs. MSMEs are productive businesses owned by individuals or business entities that have met the criteria as micro businesses that have an important role in the economy because they provide employment, encourage local economic growth, and create innovation. MSMEs still face challenges such as limited access to financing, digital readiness, and marketing access that hinder the development of MSMEs. Therefore, it is necessary to take action to predict MSME sales in Binjai City using the backpropagation method so that later it can create new innovations and encourage community economic growth. Based on the process carried out using the backpropagation method, it can be seen that the value obtained has reached more than the predetermined target with a target value (t) of 0.26, learningrate 0.2, maximum epoch 10000 target error 0.01.

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Published

2024-09-03

How to Cite

Sherly Eka Wahyuni, Relita Buaton, & Suci Ramadani. (2024). Jaringan Saraf Tiruan (JST) Memprediksi Penjualan UMKM Kota Binjai dengan menggunakan Metode Backpropagation . Bridge : Jurnal Publikasi Sistem Informasi Dan Telekomunikasi, 2(4), 47–59. https://doi.org/10.62951/bridge.v2i4.214