Open access Jurnal SINTA 1
Monitoring Indonesian online news for COVID-19 event detection using deep learning
International Journal of Electrical and Computer Engineering (IJECE) · Vol. 13 No. 1 (2023)
- ISSN
- 2722-2578, 2088-8708
- Published
- 2023-02-01
- Publisher
- Institute of Advanced Engineering and Science
Abstract
Even though coronavirus disease 2019 (COVID-19) vaccination has been done, preparedness for the possibility of the next outbreak wave is still needed with new mutations and virus variants. A near real-time surveillance system is required to provide the stakeholders, especially the public, to act in a timely response. Due to the hierarchical structure, epidemic reporting is usually slow particularly when passing jurisdictional borders. This condition could lead to time gaps for public awareness of new and emerging events of infectious diseases. Online news is a potential source for COVID-19 monitoring because it reports almost every infectious disease incident globally. However, the news does not report only about COVID-19 events, but also various information related to COVID-19 topics such as the economic impact, health tips, and others. We developed a framework for online news monitoring and applied sentence classification for news titles using deep learning to distinguish between COVID-19 events and non-event news. The classification results showed that the fine-tuned bidirectional encoder representations from transformers (BERT) trained with Bahasa Indonesia achieved the highest performance (accuracy: 95.16%, precision: 94.71%, recall: 94.32%, F1-score: 94.51%). Interestingly, our framework was able to identify news that reports the new COVID strain from the United Kingdom (UK) as an event news, 13 days before the Indonesian officials closed the border for foreigners.
Collaboration network of the authors
27 authors · 59 co-authorship links · 13 across different organisations
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Bandung Institute of Technology
- National Research and Innovation Agency
- Telkom University
- Badan Pusat Statistik
- Cohere (Canada)
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Dwi Hendratmo Widyantoro | Bandung Institute of Technology | 2 |
| Aswin Juari | Bandung Institute of Technology | 1 |
| Novi Yusliani | Bandung Institute of Technology | 1 |
| Hari Bagus Firdaud | Affiliation unknown | 1 |
| Zakiy Firdaus Alfikri | Bandung Institute of Technology | 1 |
| Untari Novia Wisesty | Telkom University | 1 |
| Tati Rajab Mengko | Bandung Institute of Technology | 1 |
| Adi Pancoro | Bandung Institute of Technology | 1 |
| Afrida Helen | Bandung Institute of Technology | 1 |
| Nila Nurmala | Badan Pusat Statistik | 1 |
| Fariska Zakhralativa Ruskanda | Bandung Institute of Technology | 1 |
| Arief Purnama Muharram | Bandung Institute of Technology | 1 |
| Ubaidillah Ariq Prathama | Bandung Institute of Technology | 1 |
| Samuel Cahyawijaya | Cohere (Canada) | 1 |
| Nugraha Priya Utama | Bandung Institute of Technology | 1 |
| Muh. Hafizh Izzaturrahim | Affiliation unknown | 1 |
| Ida Bagus Peling Prayoga | Affiliation unknown | 1 |
| Andika Naufal Hilmy | Affiliation unknown | 1 |
| Nuryani Nuryani | National Research and Innovation Agency | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.