Tsuyoshi Usagawa, Tsuyoshi
Kumamoto University

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The Significance of Dynamic COVID-19 Dashboard in Formulating School Reopening Strategies Muqtadiroh, Feby Artwodini; Yuniarno, Eko Mulyanto; Nugroho, Supeno Mardi Susiki; Pahlawan, Muhammad Reza; Rachmayanti, Riris Diana; Usagawa, Tsuyoshi; Purnomo, Mauridhi Hery
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.
Structural Model of Digital Transformation Readiness of Indonesian Rural and Urban Science Teachers Rusydiyah, Evi Fatimatur; Asrohah, Hanun; Basyir, Kunawi; Rahman, Moh. Rifqi; Usagawa, Tsuyoshi
Jurnal Pendidikan IPA Indonesia Vol. 13 No. 2 (2024): June 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/0qzkre08

Abstract

Technological and digital developments have implications for integrating technology into educational practice. As a result, teachers have to deal with digital transformation. This research aims to compare the digital transformation readiness of science teachers in urban and rural areas. This research compares to the previously determined structural model of digital transformation readiness. This research used a survey method to test several research hypotheses. The respondents of this research were 206 science teachers in Indonesia, selected using stratified random sampling to ensure a balanced representation of various sub-groups such as gender, geographic location, island, age, type and status of institution, and teaching experience. This research data was analyzed using AMOS 26 to analyze CBSEM. The research results show three main points in digital transformation: the self-efficacy of rural teachers is affected by digital literacy, the information empowerment of rural teachers is affected by information literacy and digital literacy, and the information use of rural teachers is affected by information culture. Urban teachers at these three points are more dependent and require recommendations for development and optimization. The conclusion of this research leads to a recommendation that, in general, teachers in rural areas still need improvements, while teachers in urban areas are already moving towards developing and sustaining their skills.