Proceedings of the Tegal International Conference on Applied Social Science & Humanities (TICASSH 2022)

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Economic Classification and Prediction of Southeast Asian Countries During the COVID-19 Pandemic

(Analysis with Orange Data Mining)

Authors
Ni Nyoman Reni Suasih1, *, Ida Ayu Nyoman Saskara1, Putu Yudy Wijaya2, I. Gede Putu Kawiana2
1Faculty of Economics and Business, Udayana University, Denpasar, Indonesia
2Faculty of Economics, Business, and Tourism, Hindu Indonesia University, Denpasar, Indonesia
*Corresponding author. Email: renisuasih@unud.ac.id
Corresponding Author
Ni Nyoman Reni Suasih
Available Online 11 November 2022.
DOI
10.2991/978-2-494069-09-1_32How to use a DOI?
Keywords
Economic growth; COVID-19 pandemic; Export; Agriculture; Industry; Manufacture
Abstract

World Bank data shows that during 2020 the economies of countries in the world (including Southeast Asian countries) contracted, and were in a recession. However, there are still countries whose economies are still growing during the COVID-19 pandemic. Economists are still debating the predicate of a recession, because even though it has contracted for two quarters, it doesn’t necessarily mean a country is considered a recession. Therefore, this study analyzes the economic classification of Southeast Asian countries during the COVID-19 pandemic (growth or recession), as well as the governance of their economic attributes (export components, agriculture, industry, and manufacturing). This study uses analytical techniques with orange data mining. The results show that based on the Naïve-Bayes algorithm, there are three countries whose economies are classified as experiencing a recession, while the economies of seven other countries are classified as growing. The attributes with the highest rank scores are agriculture, exports, and COVID-19 cases.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Tegal International Conference on Applied Social Science & Humanities (TICASSH 2022)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
11 November 2022
ISBN
10.2991/978-2-494069-09-1_32
ISSN
2352-5398
DOI
10.2991/978-2-494069-09-1_32How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Ni Nyoman Reni Suasih
AU  - Ida Ayu Nyoman Saskara
AU  - Putu Yudy Wijaya
AU  - I. Gede Putu Kawiana
PY  - 2022
DA  - 2022/11/11
TI  - Economic Classification and Prediction of Southeast Asian Countries During the COVID-19 Pandemic
BT  - Proceedings of the Tegal International Conference on Applied Social Science & Humanities (TICASSH 2022)
PB  - Atlantis Press
SP  - 264
EP  - 276
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-494069-09-1_32
DO  - 10.2991/978-2-494069-09-1_32
ID  - Suasih2022
ER  -