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Found 1 from your keywords: author=Pebrian, Rizki
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PREDIKSI VOLUME TOTAL TRANSAKSI HARIAN ETHERIUM MENGGUNAKAN METODE XGBOOST
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Pebrian, Rizki

The development of blockchain technology has increased cryptocurrency transaction activities, especially Ethereum, whose daily transaction volume is highly fluctuating. This condition makes transaction volume prediction important for understanding network activity patterns. This study aims to develop a prediction model for daily Ethereum transaction volume using the XGBoost Regressor algorithm.…

Edition
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ISBN/ISSN
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Collation
xv, 99 hlm.; ilus.; tab.; 29 cm.
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Call Number
T2012582026