| Issue |
SHS Web Conf.
Volume 212, 2025
1st International Conference on Advanced Research in Sustainable Economic and Social Science (ICARSESS-24)
|
|
|---|---|---|
| Article Number | 04013 | |
| Number of page(s) | 8 | |
| Section | Social Science for Sustainable Development | |
| DOI | https://doi.org/10.1051/shsconf/202521204013 | |
| Published online | 05 March 2025 | |
Shallot Price Forecast in Traditional Markets of the Special Region of Yogyakarta
1 Faculty of Agriculture, UPN Veteran Yogyakarta, Yogyakarta, Indonesia
2 Faculty of Economics and Business, UPN Veteran Yogyakarta, Yogyakarta, Indonesia
* Corresponding author: aura.dhamira@upnyk.ac.id
This paper aimed to see the trend of shallot’s price in traditional markets in the Special Region of Yogyakarta, also to see its changes over time to be able to forecast future price of the commodity. The data used collected from Department of Agriculture and Food Security of the Special Region of Yogyakarta consisting of the price of shallots from four markets across the province, namely Argosari, Bantul, Beringharjo, and Wates market. Time series data was used which is monthly data dated from April 2021 to December 2023. We used descriptive analysis method to see the trend and changes of shallot’s price while MAPE was used to see the best model for price forecasting. The result shows that the price trend of shallot tend to rise over time and the exponential smoothing becomes the best model to forecast the price of shallot in the Special Region of Yogyakarta.
Key words: forecasting / price / shallot / trend
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.