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Peramalan Jumlah Kasus COVID-19 Menggunakan Joint Learning
Author(s) -
Muhammad Rizqi Nur,
Faris Mushlihul Amin,
Ahmad Yusuf
Publication year - 2022
Publication title -
jurnal teknik informatika dan sistem informasi
Language(s) - Uncategorized
Resource type - Journals
ISSN - 2443-2229
DOI - 10.28932/jutisi.v8i1.4469
Subject(s) - covid-19 , computer science , joint (building) , autoregressive integrated moving average , cluster analysis , pandemic , artificial intelligence , deep learning , machine learning , time series , engineering , medicine , architectural engineering , disease , pathology , infectious disease (medical specialty)

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