Memprediksi Jumlah Produksi Daging Kambing Berdasarkan Provinsi Di Indonesia Dengan Menggunakan Jaringan Saraf Tiruan Backpropagation
(1) STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
(2) STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
(3) STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
(*) Corresponding Author
Abstract
Based on Goat production data in Indonesia from several provinces, shows the amount of production per month which has an unstable value. Goat meat is a source of animal protein that many Indonesians need because it can increase nutritional needs to improve people's quality of life. Goat meat production also fluctuates so the distribution in each province is not evenly distributed. To avoid it all happening, this study applies the Backpropagation method to stabilize the amount of production with the number of Indonesian people.
Full Text:
PDFReferences
A. A. Fardhani, D. Insani, N. Simanjuntak, and A. Wanto, Prediksi Harga Eceran Beras Di Pasar Tradisional Di 33 Kota Di Indonesia Menggunakan Algoritma Backpropagation, vol. 3, no. 1, 2020.
A. P. Windarto, D. Hartama, and N. Dalimunthe, Model Arsitektur Backpropogation Dalam Memprediksi Faktor Tunggakan Uang Kuliah (Studi Kasus AMIK Tunas Bangsa), Seminar Nasional Multidisiplin, no. x, pp. 19, 2017.
Budiharjo, T. Soemartono, A. P. Windarto, and T. Herawan, Predicting tuition fee payment problem using backpropagation neural network model, International Journal of Advanced Science and Technology, vol. 120, pp. 8596, 2018, doi: 10.14257/ijast.2018.120.07.
B. Febriadi, Z. Zamzami, Y. Yunefri, and A. Wanto, Bipolar function in backpropagation algorithm in predicting Indonesias coal exports by major destination countries, IOP Conference Series: Materials Science and Engineering, vol. 420, no. 1, 2018, doi: 10.1088/1757-899X/420/1/012087.
A. P. Windarto, J. Na, and A. Wanto, Bagian 2 : Model Arsitektur Neural Network dengan Kombinasi K- Medoids dan Backpropagation pada kasus Pandemi COVID-19 di Indonesia, Jurnal Media Informatika Budidarma, vol. 4, no. 4, pp. 11751180, 2020, doi: 10.30865/mib.v4i4.2505.
N. Nasution, A. Zamsuri, L. Lisnawita, and A. Wanto, Polak-Ribiere updates analysis with binary and linear function in determining coffee exports in Indonesia, IOP Conference Series: Materials Science and Engineering, vol. 420, no. 1, 2018, doi: 10.1088/1757-899X/420/1/012088.
S. Amin, Backpropagation Artificial Neural Network (BP-ANN): Understanding gender characteristics of older driver accidents in West Midlands of United Kingdom, Safety Science, vol. 122, no. July 2019, p. 104539, 2020, doi: 10.1016/j.ssci.2019.104539.
S. Nurhasanah, I. Ranggadara, I. Prihandi, and A. Ratnasari, Backpropagation neural network for predict sugarcane stock availability, International Journal of Advanced Trends in Computer Science and Engineering, vol. 9, no. 5, pp. 82798284, 2020, doi: 10.30534/ijatcse/2020/197952020.
A. Wanto, Analisis Prediksi Indeks Harga Konsumen Berdasarkan Kelompok Kesehatan Dengan Menggunakan Metode Backpropagation, vol. 2, pp. 3744, 2019.
Refbacks
- There are currently no refbacks.
Copyright (c) 2022 ZAHRA: Buletin Big Data, Data Science and Artificial Intelligence

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

