Fuzzy Time Series and Double Exponential Smoothing in Farmer’s Terms of Trade Forecasting of Bali Province
- DOI
- 10.2991/978-94-6463-878-3_14How to use a DOI?
- Keywords
- Bali; Double Exponential Smoothing; Farmer’s Terms of Trade; Forecasting; Fuzzy Time Series
- Abstract
The Farmer’s Terms of Trade (FTT) plays a vital role in supporting key sectors of the Indonesian economy and contributes significantly to improving household incomes. This study utilizes monthly FTT data from Bali, spanning from January 2017 to June 2021, sourced from the official website of the Central Statistics Agency (BPS). The research aims to compare the forecasting accuracy of a modified Algorithm based on the Fuzzy Time Series method with that of the Double Exponential Smoothing (DES) in predicting the FTT in Bali. The results of the accuracy assessment indicate that the Double Exponential Smoothing delivers superior and more accurate forecasting performance. This is demonstrated by its lower Mean Squared Error (MSE) and Mean Absolute Percentage Error (MAPE) compared to the modified algorithm based on Fuzzy Time Series. Specifically, with α = 0.9 and γ = 0.03, the DES method achieves an MSE of 1.73 and the lowest MAPE value of 0.61, confirming its effectiveness in modeling the FTT data.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Wayan Gede Suka Parwita AU - Ni Luh Putu Depik Pariantini AU - Ni Putu Ritra Trees Ari Kartika Hadi Saraswati PY - 2025 DA - 2025/10/31 TI - Fuzzy Time Series and Double Exponential Smoothing in Farmer’s Terms of Trade Forecasting of Bali Province BT - Proceedings of the International Conference on Sustainable Green Tourism Applied Science - Engineering Applied Science 2025 (ICOSTAS-EAS 2025) PB - Atlantis Press SP - 112 EP - 121 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-878-3_14 DO - 10.2991/978-94-6463-878-3_14 ID - Parwita2025 ER -