Application of the Average Based Fuzzy Time Series Lee Method for Forecasting World Gold Prices

Authors

  • Husnul Khotimah Universitas Mataram
  • Qurratul Aini Universitas Mataram
  • Nur Asmita Purnamasari Universitas Mataram

DOI:

https://doi.org/10.29303/emj.v7i2.237

Keywords:

Fuzzy Time Series Lee, Gold, Mean Absolute Percentage Error

Abstract

Gold is a investment that investors are interested in because it has relatively low risk and gold investment is not affected by inflation. Gold prices always change from time to time, so it is necessary to forecast gold prices as a basis for investors in making decisions. The forecasting method used in the fuzzy time series lee method. The purpose of this research is determine the world prices and determine the accuracy of the gold price forecasting value ortained using fuzzy time series lee method. The results of this research are forecasting gold prices in the period November 20, 2023 of US$ 63,89/grams and relatively the level of forecasting accuracy based on MAPE value of 0,540091% included in the very good criteria in forecasting gold prices.

References

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Published

2024-10-15

How to Cite

Khotimah, H., Aini, Q., & Purnamasari, N. A. (2024). Application of the Average Based Fuzzy Time Series Lee Method for Forecasting World Gold Prices. EIGEN MATHEMATICS JOURNAL, 7(2), 102–107. https://doi.org/10.29303/emj.v7i2.237

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