Article Per Year (5 Year)
p-Index From 2020 - 2025
0
P-Index
This Author published in this journals
All Journal Jurnal Manajemen dan Agribisnis
Riza Rahimi Bachtiar
Agribusiness Department, Politeknik Negeri Banyuwangi
Agriculture, Biological Sciences & Forestry Economics, Econometrics & Finance

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Forecasting Analysis of Organic Red Rice’s Demand Using Artificial Neural Networks Abdul Holik; Riza Rahimi Bachtiar; Shinta Setiadevi
Jurnal Manajemen & Agribisnis Vol. 16 No. 2 (2019): JMA Vol. 16 No. 2, July 2019
Publisher : School of Business, Bogor Agricultural University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (533.862 KB) | DOI: 10.17358/jma.16.2.123

Abstract

Consumer demand for organic red rice in Banyuwangi is always fluctuating each period. This study aims to design an Artificial Neural Network (ANN) Architecture and forecast the demand of Red Rice Production at PT. Sirtanio Organik Indonesia located at Singojuruh, Banyuwangi. Demand forecasting is the level of demand product that is expected to be realized for a certain period in the future. The data used as input for this study are product prices, stocks, sales and demand in 2015-2017. This research used six architectures and Algorithm that used is Artificial Neural Network Backpropagation. The research result showed that highest demand for organic red rice is in August of 2018 and the lowest in April of 2018. The conclusion of this research showed that the best architecture is 3-20-1 with MSE value of 0.002 and R squared of 0.859 and this model is well used to predict organic red rice demand in Banyuwangi.Keywords: Artificial Neural Network, backpropagation, Banyuwangi, MSE, organic red rice
Co-Authors Abdul Holik