CD Skripsi

Peramalan Harga Binance Coin (Bnb) Menggunakan Metode Autoregressive Integrated Moving Average (Arima)

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Binance coin is one of the digital currencies or known as cryptocurrency that has been widely used in recent years as a transaction tool. The ever-increasing popularity makes binance coin one of the preferred investment alternatives. Price changes on binance coin often experience significant fluctuations. A method is needed to forecast the price of binance coin. The Autoregressive Integrated Moving Average (ARIMA) method is one of the methods used to analyze and forecast time series. In this study, the python programming language is used to perform forecasting with the ARIMA method. The data used in this study is binance coin close price data from January 1, 2020 to January 22, 2023 with a total of 1118 data. The best model obtained is the ARIMA (2,1,2) model with the smallest AIC value of -3299,28. Short-term forecasting results, namely for the next 7 days with the ARIMA (2,1,2) model, show a good level of accuracy with a Mean Absolute Percentage Error (MAPE) value of 1.08%.

Keywords: Forecasting, Binance Coin, ARIMA, Time Series.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

1903112926

Penerbit

Pekanbaru : Universitas Riau FMIPA Sistem Informasi., 2024

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

1903112926

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

SISTEM INFORMASI

Info Detail Spesifik

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Pernyataan Tanggungjawab

mardiah

Versi lain/terkait

Lampiran Berkas

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