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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat FARABI: Jurnal Matematika dan Pendidikan Matematika Journal of Mathematics Technology and Education
Syahriol Sitorus
Universitas Sumatera Utara
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Social Sciences Transportation

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Journal : Journal of Mathematics Technology and Education

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Gold Price Forecasting Using Autoregressive Integrated Moving Average (ARIMA) Method Ruth Elizabeth; Syahriol Sitorus
Journal of Mathematics Technology and Education Vol. 1 No. 1 (2021): Journal of Mathematics Technology and Education
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (581.153 KB) | DOI: 10.32734/jomte.v1i1.6859

Abstract

Gold is one type of investment that is starting to be favored by many people. Every investment has risk, including gold investment. This risk of loss needs to be minimized to obtain maximum profit. So it takes proper planning and forecasting to invest in gold. This study aims to determine the best forecasting model for the price of 1 gram gold bullion produced by PT Aneka Tambang (ANTAM), using the ARIMA method. The data used in this study comes from historical data in 2016 to 2019 to predict gold prices in 2020-2021. Gold Price Forecasting using the ARIMA method produces ARIMA(1,1,0) with the model model . . With error values ​​MAE= 94491.42, MAPE= 10.47776409, MSE= 12281027973, RMSE=110819.7996.
Co-Authors Eiby Valentine Fitri Rezky Hamzani Nurul Maulida Surbakti Rosman Siregar Ruth Elizabeth Suyanto Syahril Efendi Zahedi