Riadi, Billy and Setiawan, Johan (2019) Data Visualization and Prediction of Goods Import Growth in Indonesia in 2010 - 2014. Ultima InfoSys : Jurnal Ilmu Sistem Informasi, 9 (2). pp. 92-97. ISSN 2549-4015
Full text not available from this repository.Abstract
Import is one of the trade process conducted between two countries, the import process is done by a country to meet the needs of the country that is not meet by the ability of the country. Indonesia also imports many items such as fuel or rice. Therefore, to reduce the level of imports, we need to know which sector has the most import rate and whether the level of imports in that sector is increasing or not, so Indonesia can save the country's foreign exchange reserves. Import data Indonesia displayed in the form of visualization of data created using the method of Visual Data Mining (VDM) and using Power BI as a tools. Indonesian Import Prediction is done to know the growth of Indonesia import rate by using Linear Regression method and using SPSS tools. In a study of the growth of import levels in Indonesia, Indonesia has an import rate that increased between 8-20%, but in some periods experienced an increase and decrease caused by other factors such as consumption expenditure, currency exchange rates and state revenues.
| Item Type: | Article |
|---|---|
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 006 Special Computer Methods 300 Social Sciences > 330 Economics 300 Social Sciences > 330 Economics > 338 Production (Agriculture, Business Enterprise, Extraction of Minerals, General Production) > 338.9 Economic Development and Growth |
| Divisions: | Faculty of Engineering & Informatics > Information System |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 25 Nov 2021 08:28 |
| Last Modified: | 26 May 2023 03:06 |
| URI: | https://kc.umn.ac.id/id/eprint/19287 |
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