Citation

Lee, Kian Chin and Abdullah Tuah, Abdullah Asyraf Aiman and Bau, Yoon Teck (2022) Effects of Coronavirus Disease on Trade for New Zealand. Journal of Logistics, Informatics and Service Science, 9 (4). pp. 119-128. ISSN 2409-2665

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Abstract

The coronavirus disease 2019 (COVID-19) is a humanitarian crisis that is spreading throughout the world. COVID-19 will be worse to countries that have weak healthcare and economic systems. Countries that are highly affected by coronavirus disease will have problems with international trade since the virus has a high infection rate. This will have effects on the trading economy which will cause export restrictions and trade barriers which make the country trade worse and can cause livelihood problems for the country. But there are countries that handle the pandemic excellently and manage to control the outbreak. Therefore, this research studies one country which is New Zealand on how the coronavirus disease affects their trading economy. This research consists of five phases of research methodology to be conducted before presenting the final findings. The five phases are dataset collection, data preprocessing, decision tree regressor, apriori algorithm under association rule mining and finally data visualizations. Using decision tree regressor, apriori algorithm and data visualizations for results, the outcomes of the findings show that the trade for New Zealand is not badly affected by the coronavirus pandemic and two association rules that support their economy have been discovered.

Item Type:	Article
Uncontrolled Keywords:	Coronavirus disease, COVID-19, Trade, New Zealand, Decision tree regressor, Association rule mining, Apriori algorithm
Subjects:	Q Science > QR Microbiology > QR180 Immunology
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	22 Mar 2023 02:00
Last Modified:	22 Mar 2023 02:00
URII:	http://shdl.mmu.edu.my/id/eprint/11253

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