Peramalan Nilai Saham BBCA Melalui Pendekatan Time Series Menggunakan Teknik Exponential Smoothing

Authors

  • Febri Liantoni Universitas Sebelas Maret
  • Ondihon Simanjuntak Universitas Sebelas Maret

DOI:

https://doi.org/10.14421/jiska.2025.10.3.259-266

Keywords:

Stock Price Forecasting, Time Series, Exponential Smoothing, Bank Central Asia (BBCA), Financial Markets, Investment, Risk

Abstract

Forecasting stock prices plays a crucial role in shaping investment strategies within the financial market. This article aims to predict the stock prices of Bank Central Asia (BBCA), a prominent entity in the Indonesian banking sector. Employing a time series methodology, this study utilizes the Exponential Smoothing technique to anticipate the fluctuations in BBCA's share prices. Meanwhile, the dataset used is the BBCA share price data from April 2001 to early January 2023. The final error rate in this forecast is 10%.

References

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Published

2025-09-30

How to Cite

Liantoni, F., & Simanjuntak, O. (2025). Peramalan Nilai Saham BBCA Melalui Pendekatan Time Series Menggunakan Teknik Exponential Smoothing. JISKA (Jurnal Informatika Sunan Kalijaga), 10(3), 259–266. https://doi.org/10.14421/jiska.2025.10.3.259-266

Issue

Vol. 10 No. 3 (2025): September 2025

Section

Articles

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Copyright (c) 2025 Febri Liantoni, Ondihon Simanjuntak

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