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Recent progress on artificial intelligence application for COVID-19 monitoring and mitigation system in Indonesia

COVID-19 is a serious public health issue in the world. The spread of COVID-19 has gone global. Indonesia is a country with a high rate of infectious cases worldwide. Multidisciplinary science also brings together to fight against COVID-19 in Indonesia. One of the important roles is artificial intel...

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Main Authors: Rosyid Ridlo, Al Hakim, Yanuar Zulardiansyah, Arief, Muhammad Haikal, Satria, Agung, Pangestu, Hexa A., Hidayah, Esa R. C., Putri, Aditia P., Hamid
Format: Proceeding
Language:English
Published: 2022
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://ir.unimas.my/id/eprint/40948/3/Recent%20progress%20on%20artificial%20intelligence.pdf
http://ir.unimas.my/id/eprint/40948/
https://aaec2022.org/index.php
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spelling my.unimas.ir.409482022-12-20T02:31:41Z http://ir.unimas.my/id/eprint/40948/ Recent progress on artificial intelligence application for COVID-19 monitoring and mitigation system in Indonesia Rosyid Ridlo, Al Hakim Yanuar Zulardiansyah, Arief Muhammad Haikal, Satria Agung, Pangestu Hexa A., Hidayah Esa R. C., Putri Aditia P., Hamid TK Electrical engineering. Electronics Nuclear engineering COVID-19 is a serious public health issue in the world. The spread of COVID-19 has gone global. Indonesia is a country with a high rate of infectious cases worldwide. Multidisciplinary science also brings together to fight against COVID-19 in Indonesia. One of the important roles is artificial intelligence (AI). AI was also reported to help a vital role in public health. As a developing country, Indonesia also brings innovative AI approaches to help people with COVID-19, including classification, detection, diagnosis, prediction, telemedicine, and many more. This study elaborates the recent progress on AI application in Indonesia contributing to the fight against COVID-19 which has been reported in scientific papers/reports. Although research in this field is still not so developed, the existing innovations provide a new enthusiasm for public health and the benefits of the latest technology that can support human health, especially in facing a pandemic at Indonesia. It was found that there can be more research by utilizing AI approaches concerning public health and medicine in the future research work particularly in facing a pandemic condition. 2022-07-14 Proceeding PeerReviewed text en http://ir.unimas.my/id/eprint/40948/3/Recent%20progress%20on%20artificial%20intelligence.pdf Rosyid Ridlo, Al Hakim and Yanuar Zulardiansyah, Arief and Muhammad Haikal, Satria and Agung, Pangestu and Hexa A., Hidayah and Esa R. C., Putri and Aditia P., Hamid (2022) Recent progress on artificial intelligence application for COVID-19 monitoring and mitigation system in Indonesia. In: ASEAN Australian Engineering Congress 2022, 12 - 14 July 2022, BCCK Kuching. https://aaec2022.org/index.php
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Rosyid Ridlo, Al Hakim
Yanuar Zulardiansyah, Arief
Muhammad Haikal, Satria
Agung, Pangestu
Hexa A., Hidayah
Esa R. C., Putri
Aditia P., Hamid
Recent progress on artificial intelligence application for COVID-19 monitoring and mitigation system in Indonesia
description COVID-19 is a serious public health issue in the world. The spread of COVID-19 has gone global. Indonesia is a country with a high rate of infectious cases worldwide. Multidisciplinary science also brings together to fight against COVID-19 in Indonesia. One of the important roles is artificial intelligence (AI). AI was also reported to help a vital role in public health. As a developing country, Indonesia also brings innovative AI approaches to help people with COVID-19, including classification, detection, diagnosis, prediction, telemedicine, and many more. This study elaborates the recent progress on AI application in Indonesia contributing to the fight against COVID-19 which has been reported in scientific papers/reports. Although research in this field is still not so developed, the existing innovations provide a new enthusiasm for public health and the benefits of the latest technology that can support human health, especially in facing a pandemic at Indonesia. It was found that there can be more research by utilizing AI approaches concerning public health and medicine in the future research work particularly in facing a pandemic condition.
format Proceeding
author Rosyid Ridlo, Al Hakim
Yanuar Zulardiansyah, Arief
Muhammad Haikal, Satria
Agung, Pangestu
Hexa A., Hidayah
Esa R. C., Putri
Aditia P., Hamid
author_facet Rosyid Ridlo, Al Hakim
Yanuar Zulardiansyah, Arief
Muhammad Haikal, Satria
Agung, Pangestu
Hexa A., Hidayah
Esa R. C., Putri
Aditia P., Hamid
author_sort Rosyid Ridlo, Al Hakim
title Recent progress on artificial intelligence application for COVID-19 monitoring and mitigation system in Indonesia
title_short Recent progress on artificial intelligence application for COVID-19 monitoring and mitigation system in Indonesia
title_full Recent progress on artificial intelligence application for COVID-19 monitoring and mitigation system in Indonesia
title_fullStr Recent progress on artificial intelligence application for COVID-19 monitoring and mitigation system in Indonesia
title_full_unstemmed Recent progress on artificial intelligence application for COVID-19 monitoring and mitigation system in Indonesia
title_sort recent progress on artificial intelligence application for covid-19 monitoring and mitigation system in indonesia
publishDate 2022
url http://ir.unimas.my/id/eprint/40948/3/Recent%20progress%20on%20artificial%20intelligence.pdf
http://ir.unimas.my/id/eprint/40948/
https://aaec2022.org/index.php
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score 13.211869

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