@inproceedings{7b262022be8c4b4da06cf27547529979,
title = "Predicting International Market Price of Gasoline Using Fourier Series Estimator",
abstract = "The International Energy Agency (IEA) stated that oil demand is declining during the Coronavirus disease (COVID-19) pandemic era. The Indonesian economy is vulnerable to decline and increase in international oil price. This can interfere with one of the Sustainable Development Goals (SDGs), namely at point eight related to the stability of economic growth. One of the most widely produced oil products is gasoline. Therefore, it is necessary to predict the gasoline price such that the government can use it as a reference in determining the allocation of funds and economic policies in the future. To predict gasoline price, an appropriate model is needed. The Fourier series estimator is a good approach to overcome data that has a fluctuating pattern. So, this study uses the Fourier series estimator approach. Fourier series estimator gave a good accuracy for predicting with mean absolute percentage error of 18.92% that is less than 32.1% of using Autoregressive Integrated Moving Average (ARIMA) method. It means that the Fourier series estimator is better than ARIMA method for predicting the international market price of gasoline.",
author = "Shabilla, {Syehvira Shal} and Rosa, {Helda Urbhani} and Azhar, {Anisa Laila} and Nur Chamidah",
note = "Publisher Copyright: {\textcopyright} 2023 American Institute of Physics Inc.. All rights reserved.; International Conference on Mathematics, Computational Sciences, and Statistics 2022, ICoMCoS 2022 ; Conference date: 02-10-2022 Through 03-10-2022",
year = "2023",
month = dec,
day = "22",
doi = "10.1063/5.0181368",
language = "English",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics Inc.",
number = "1",
editor = "Elly Pusporani and Nashrul Millah and Eva Hariyanti",
booktitle = "AIP Conference Proceedings",
edition = "1",
}
