Implementation of Fuzzy Logic Using The Tsukamoto Method to Forecast Gold Price in Indonesia

Irfaliani Alviari; Ines Monika; Sarina Sarina; Lianda Saputra; Baiq Desy Aniska Prayanti

doi:10.29303/emj.v8i1.251

Authors

Irfaliani Alviari Department of Mathematics, Universitas Bangka Belitung, Indonesia
Ines Monika Department of Mathematics, Universitas Bangka Belitung, Indonesia
Sarina Sarina Department of Mathematics, Universitas Bangka Belitung, Indonesia
Lianda Saputra Department of Mathematics, Universitas Bangka Belitung, Indonesia
Baiq Desy Aniska Prayanti Department of Mathematics, Universitas Bangka Belitung, Indonesia

DOI:

https://doi.org/10.29303/emj.v8i1.251

Keywords:

gold price, forecasting, fuzzy tsukomoto

Abstract

In the economy, gold is a commodity that has an important role. This indicates that gold is often used as an investment for investors and people involved in the business world. This research aims to determine how accurate gold price forecasting is using the Tsukamoto fuzzy method in Indonesia. Gold prices are influenced by several factors. These factors include exchange rates, interest rates, inflation, etc. Based on research results, fuzzy Tsukamoto determined the price of gold with a forecasting truth value of 99.91611654% and a MAPE value of 0.083883458%. The conclusion of this research is forecasting gold prices using the Tsukamoto fuzzy method is considered very good.

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