Cornelya, Nella and Cahyawati, Dian and Eliyati, Ning and Sitepu, Robinson and Susanti, Eka and Dewi, Novi and Bangun, Putra (2024) Forecasting of Bitcoin Cryptocurrency Price using the Autoregressive Integrated Moving Average (ARIMA) Method. In: Proceedings of the 3rd Sriwijaya International Conference on Basic and Applied Sciences, SICBAS 2023, November 3, 2023, Palembang, Indonesia.
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Abstract
Bitcoin is a type of cryptocurrency that has the largest market capitalization as a digital investment tool. Bitcoin prices often fluctuate, making it necessary to forecast in order to help investors in predicting the profit of their digital investment. One of the methods that can be used for predi
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 17:54 |
| Last Modified: | 16 Apr 2026 23:02 |
| URI: | http://eprints.eai.eu/id/eprint/50339 |
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