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All Journal Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI)
Tsuyoshi Usagawa
Kumamoto University
Computer Science & IT Education Engineering

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The Significance of Dynamic COVID-19 Dashboard in Formulating School Reopening Strategies Feby Artwodini Muqtadiroh; Eko Mulyanto Yuniarno; Supeno Mardi Susiki Nugroho; Muhammad Reza Pahlawan; Riris Diana Rachmayanti; Tsuyoshi Usagawa; Mauridhi Hery Purnomo
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 13 No. 1 (2024)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v13i1.76017

Abstract

Experiments conducted with the COVID-19 dataset have predominantly concentrated on predicting cases fluctuating and classifying lung-related diseases. Nevertheless, the consequences of the COVID-19 pandemic have also spread to the education sector. To safeguard educational stability in response to the remote learning policy, we leverage authentic COVID-19 datasets alongside school information across 154 sub-areas in Surabaya City, Indonesia. Our focus is predicting the dynamic within these sub-areas where schools are located. The outcomes of this study, by incorporating the recurrent neural network of long- and short-term memory (RNN-LSTM) architecture and refined hyperparameters, effectively enhanced the predictive model's performance. The findings are showcased on a dashboard, visually representing the transmission of COVID-19 in schools across each sub-area. This information serves as a basis for informed decisions on the safe reopening of schools, aiming to mitigate the decline in education quality during the challenging pandemic.
Co-Authors Eko Mulyanto Yuniarno Feby Artwodini Muqtadiroh Mauridhi Hery Purnomo Muhammad Reza Pahlawan Riris Diana Rachmayanti Supeno Mardi Susiki Nugroho, Supeno Mardi