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Comparison of The Accuracy of Predicting The Number Of Positive Covid-19 Between The Neural Network and LSTM Methods

  • Published:2023-11-07 Issue: Volume: Page:
  • ISSN:
  • Container-title:2023 International Conference on Informatics, Multimedia, Cyber and Informations System (ICIMCIS)
  • language:
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Author:

Riyanto Eko1,Amalia Rifka Dwi2

Affiliation:

1. STMIK HIMSYA,Informatics Engineering,Semarang,Indonesia

2. Universitas Pembangunan Nasional Veteran Jakarta,Information Systems Faculty of Computer Science,Jakarta,Indonesia

Publisher

IEEE

Reference16 articles.

1. Epidemiology and ARIMA model of positive-rate of influenza viruses among children in Wuhan, China: A nine-year retrospective study

2. Journal of Informatics, Information System, Software Engineering and Applications Model Prediksi Jumlah Kumulatif Kasus COVID-19 di Indonesia Menggunakan Metode Neural Network;Cahyaningsih,2020

3. PREDIKSI KASUS COVID-19 DI INDONESIA MENGGUNAKAN METODE BACKPROPAGATION DAN FUZZY TSUKAMOTO

4. PERAMALAN KASUS POSITIF COVID 19 DI INDONESIA MENGGUNAKAN LSTM
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