Jurnal Varian
Vol. 8 No. 2 (2025)

Analysis of Gold Price Forecasts Using Automatic Clustering Method and Fuzzy Logic Relationship

Jannah, Ro'i Khatul (Unknown)
Agustina, Dina (Unknown)



Article Info

Publish Date
31 Jul 2025

Abstract

Gold is often chosen as an investment due to its lucrative potential. To maximize profits and avoid losses, investors need to understand the volatile price movements of gold. This research aims to forecast the price of gold in the next period. In this research, the forecasting method used is Automatic Clustering and Fuzzy Logical Relationship (ACFLR). ACFLR is a method that uses the concept of fuzzy logic for modeling time series data. The forecasting process includes data sorting, cluster formation, interval determination, fuzzification, FLR and FLRG formation, and calculation of forecasting values. Based on this method, the result of the gold price forecast in Padang City for the next period, namely January 2024 using the ACFLR method is IDR 978,796.9. with a MAPE value of 0.9%, which means this method is very good. For further researchers, it is hoped that the Fuzzy Time Series method can use other forecasting models in order to obtain the most optimal method for forecasting gold prices.

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Journal Info

Abbrev

Varian

Publisher

Subject

Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics Social Sciences Other

Description

Jurnal Varian adalah salah satu Jurnal Ilmiah yang terdapat di Universitas Bumigora. Jurnal ini bertujuan untuk memberikan wadah atau sarana publikasi bagi para dosen, peneliti dan praktisi baik di lingkungan internal maupun eksternal Universitas Bumigora Mataram. Jurnal ini terbit 2 (dua) kali ...