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INDONESIA
Agro Ekonomi
Published by Universitas Gadjah Mada
ISSN : 02158787     EISSN : 25411616     DOI : -
Core Subject : Economy, Agriculture,
Agriculture, Biological Sciences & Forestry Economics, Econometrics & Finance
AE is a media for dissemination information of thinking and research from lecturers, researchers, students, and practitioners who are interest to produce the scientific work in the agricultural and natural resource policies, agribusiness and agricultural extension & communication sciences. The focus and scopes of the articles in this journal are : (1) The macro approach of agricultural socio economic as a system which comprehensive and integrated from subsystems up-stream, subsystems on-farm, subsystems down-stream, subsystems support and the impact of their interrelationships with government policy, international economics, agricultural marketing, environmental resources, agricultural extension and communication, agricultural sociology, farmer institutions, and community empowerment; (2) The micro approach includes the study in the development of agribusiness (finance, farm management, functional and technical aspects) and agricultural local institutional.
Arjuna Subject : -
Articles 1 Documents
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Search results for , issue "Vol 36 (2025): ARTICLE IN PRESS" : 1 Documents clear
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.

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