Abstract
The economy is expected to decline. All countries aspire for economic stability because it can enhance a country's gross domestic product(GDP). Nations must thoroughly examine their economic realities in order to adopt strategic economic policies that foster growth and attract investment. The present dashboard only displays the inflation rate and excludes other essential economic indicators such as total economic output, current GDP rate, currency rates, and unemployment rate. The indicators were presented graphically on a separate platform without a detailed explanation, which could lead to misinterpretation. Investors may make an incorrect evaluation, leading to a financial loss. The major purpose of this project is to create a dashboard that appropriately assesses Southeast Asian states' economic stability. The primary goals of this research are to determine the techniques and requirements of an economic stability indicator dashboard for ASEAN countries, to create a console utilizing Big Data methods and to assess the usefulness of this system. This study employs the Rapid Application Development paradigm, which was chosen for its ability to efficiently build a system within a small time frame. The objectives are met successfully within the specified stages through Technology Acceptance Model. T here are four dimensions were evaluated namely Perceived Ease of Use, Perceived Usefulness, Attitude and Intention to Use. The participants comprised both salaried Malaysians from various industries and self-employed people. The system's average score for all dimensions is 4.76 shows that the dashboard can help consumers make better decisions. This study is suggested to has prediction and machine learning to be used as a prediction model for future implementation.
Metadata
Item Type: | Article |
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Creators: | Creators Email / ID Num. Ibrahim, Norfiza norfiza@uitm.edu.my Aziz, Nurul Athirah UNSPECIFIED Abu Seman, Azmi UNSPECIFIED Abdul Wahab, Nadia UNSPECIFIED Osman, Aznoora UNSPECIFIED Md Ilyas, Siti Sarah UNSPECIFIED |
Subjects: | H Social Sciences > HD Industries. Land use. Labor > Management. Industrial Management > Electronic data processing. Information technology. Knowledge economy. Including artificial intelligence and knowledge management |
Divisions: | Universiti Teknologi MARA, Perlis > Arau Campus |
Journal or Publication Title: | Journal of Computing Research and Innovation (JCRINN) |
UiTM Journal Collections: | UiTM Journal > Journal of Computing Research and Innovation (JCRINN) |
ISSN: | 2600-8793 |
Volume: | 9 |
Number: | 2 |
Page Range: | pp. 253-269 |
Keywords: | Big Data, Currency Rates, Dashboard, Economy, GDP, Unemployment Rates |
Date: | September 2024 |
URI: | https://ir.uitm.edu.my/id/eprint/103722 |