Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal Agro Ekonomi JEPA (Jurnal Ekonomi Pertanian dan Agribisnis)
Nabilla, Nur Afra
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Agro Ekonomi

 1 
Predictive Trends of Major Food Prices in Indonesia: A Deep Learning Approach to Time Series Forecasting Yafi, Muhammad Ali; Maharani, Mutiara Ria Despita; Nabilla, Nur Afra; Adyanti, Amanda Sekar
Agro Ekonomi Vol 36 (2025): ARTICLE IN PRESS
Publisher : Department of Agricultural Socio-Economics Faculty of Agriculture Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ae.104454

Abstract

Price uncertainty in food commodities will have an impact on people's food consumption. Prediction of future prices is necessary to serve as a policy reference in overcoming price fluctuations. The purpose of the study is to predict the price of major agricultural food in Indonesia in 2023-2029. The research uses time series data from 1990-2022 with price variables of corn, onion red chilli, beef, and chicken. The analytical tool used to answer the research objectives is the Autoregressive Integrated Moving Average (ARIMA) model. The results of the analysis obtained the best model for predicting price forecasts, namely ARIMA on corn commodities (1,1,0), shallots (2,1,0), red chillies (1,1,0), beef (0,1,1), and chicken meat (1,1,1). The results of the prediction of the price of Indonesia's food needs in 2023-2029 as a whole tend to increase.
Co-Authors Adyanti, Amanda Sekar Maharani, Mutiara Ria Despita YAFI, MUHAMMAD ALI Yanti Nuraeni Muflikh