Skripsi

PERAMALAN HARGA CRYPTOCURRENCY JENIS BITCOIN MENGGUNAKAN METODE AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA)

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Penilaian

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Bitcoin is a type of cryptocurrency that has the largest market capitalization as a digital investment tool. Bitcoin prices often fluctuate so forecasting is necessary to help investors predict the profits of their digital investments. The aim of this research is to form the best ARIMA model to predict Bitcoin prices for 30 days. The method used to form the model is the ARIMA method. The ARIMA method has very accurate accuracy for short-term forecasting. Daily Bitcoin price data is obtained from a website supervised by the Commodity Futures Trading Supervisory Agency (BAPPEBTI). The data used is daily price data for Bitcoin cryptocurrency from January 1, 2023 to September 30, 2023. The temporary prediction model formed is ARIMA (0,2,1), ARIMA (1,2,0), ARIMA (1,2 ,1), ARIMA (2,2,0), ARIMA (2,2,1), and ARIMA (3,2,0) and obtained an ARIMA model (0,2,1) which is significant and meets the characteristics of white noise. The Mean Absolute Percentage Error (MAPE) value was 3.17%. from the ARIMA model (0,2,1) and is included in the very good criteria.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2407001142	T140059	T1400592024	Central Library (References)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1400592024

Publisher

Indralaya : Prodi Ilmu Matematika, Fakultas Matematika dan Ilmu Pengetahuan Alam., 2024

Collation

xii, 71 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

510.07

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

ARIMA
Prodi Ilmu Matematika

Specific Detail Info

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Statement of Responsibility

KA

Other version/related

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