Penerapan Jaringan Syaraf Tiruan Dengan Metode Backpropagation Untuk Memprediksi Penjualan Sepeda Motor Yamaha Di Asli Motor Siantar
Keywords:Matlab 6.1, Multilayer, Backpropagation.
The research was conducted at CV. ORIGINAL SIANTAR MOTORS that have a problem, namely the lack of sales is a very bad thing for the CV because it results in the economy and the turnover of motorbike sales capital is not good. This problem can be overcome by using the Backpropagation method which is usually used by multilayer networks to minimize errors in the output by testing data using Matlab 6.1. The purpose of this research is expected that using this method can increase the number of sales of motorbikes in each type, and increase the economic income for employees who work at the CV in the form of bonuses. The results of this study are to estimate the highest type of motorcycle sales in 2020 using sales data for 2017, 2018 and 2019.
B. Unedo and P. Manurung, “IMPLEMENTASI LEAST SQUARE DALAM UNTUK PREDIKSI PENJUALAN SEPEDA MOTOR ( STUDI KASUS?: PT . GRAHA AUTO PRATAMA ),” J. Ris. Komput., vol. 2, no. 6, pp. 21–24, 2015.
A. Sudarsono, “JARINGAN SYARAF TIRUAN UNTUK MEMPREDIKSI LAJU PERTUMBUHAN PENDUDUK MENGGUNAKAN METODE,” vol. 12, no. 1, pp. 61–69, 2016.
E. T. Marjiyono, Bambang Soedijono WA, Luthfi, “PENGGUNAAN JARINGAN SYARAF TIRUAN UNTUK MERAMALKAN PERMINTAAN PADA PERUSAHAAN RETAIL,” vol. 2, no. 2009, 2018.
J. R. S. Panggabean, Erwin, “Analisa perbandingan metode jaringan syaraf tiruan dengan metode sistem pendukung keputusan untuk penerimaan tenaga kerja,” vol. 4, no. 1, pp. 2–7, 2019.
H. S. Tambunan, “PENGENALAN POLA HIV DAN AIDS MENGGUNAKAN ALGORITMA KOHONEN PADA JARINGAN SYARAF,” vol. 1, no. 1, pp. 65–69, 2016.
Y. Andriani, H. Silitonga, and A. Wanto, “Analisis Jaringan Syaraf Tiruan untuk prediksi volume ekspor dan impor migas di Indonesia,” vol. 4, no. 1, pp. 30–40, 2018.
W. Budiharto and D. Suhartono, ARTIFICIAL INTELLIGENCE KONSEP DAN PENERAPANNYA, ANDI Yogya. Yogyakarta, 2014.
Atina, “Aplikasi Matlab pada Teknologi Pencitraan Medis,” vol. 1, no. 1, pp. 28–34, 2019.
Copyright (c) 2021 Muhammad Fajar; Sumarno Sumarno; Indra Gunawan
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).