SITEKIN: Jurnal Sains, Teknologi dan Industri
Vol 21, No 1 (2023): December 2023

Application of Fuzzy Time Series Method Cheng Model in Forecasting Stock Prices PT Bukit Asam Tbk

Alya Nadhira Nur (Universitas Sumatera Utara)
Esther SM Nababan (Universitas Sumatera Utara)
Parapat Gultom (Universitas Sumatera Utara)
Sutarman Sutarman (Universitas Sumatera Utara)

Article Info

Publish Date
31 Jul 2023

Abstract

Investment in stocks is one type of investment that can get huge profits, but there are also great risks. So it is necessary to analyze in advance before starting an investment in stocks, in order to avoid losses. One way is to forecast the stock price using fuzzy time series Cheng. The data used is weekly period stock price data from PTBA in January 2020 - December 2022, which can be categorized as a form of time series. From this research, the forecasting value for the next period is Rp. 3797. Which results in a MAPE of 4.2%, which means that FTS Cheng method is very good to use in forecasting the share price of PT Bukit Asam Tbk, because it produces a MAPE value <10%, and produces an RMSE of 158 rupiah, which means the average of the difference between actual and forecast values.

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Journal Info
SITEKIN: Jurnal Sains, Teknologi dan Industri
Website

Abbrev

sitekin

Publisher

Universitas Islam Negeri Sultan Syarif Kasim Riau

Subject

Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Other

Description

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