Da Gusta, Immanuel Luigi and Setiawan, Johan (2017) Data Visualization Indicator Disease (Malaria, Dengue Fever, and Measles) in The Year 2012-2015. International Journal of New Media Technology, 4 (2). pp. 87-93. ISSN 2581-1851
Full text not available from this repository.Abstract
The aim of this paper are: to create a data visualization that can assist the Government in evaluating the return on the development of health facilities in the region and province area in term of human resources for medical personnel, to help community knowing the amount of distribution of hospitals with medical personnel in the regional area and to map disease indicator in Indonesia. The issue of tackling health is still a major problem that is not resolved by the Government of Indonesia. There are three big things that become problems in the health sector in Indonesia: infrastructure has not been evenly distributed and less adequate, the lack of human resources professional health workforce, there is still a high number of deaths in the outbreak of infectious diseases. Data for the research are taken from BPS, in total 10,600 records after the Extract, Transform and Loading process. Time needed to convert several publications from PDF, to convert to CSV and then to MS Excel 3 weeks. The method used is Eight-step Data Visualization and Data Mining methodology. Tableau is chosen as a tool to create the data visualization because it can combine each dasboard inside a story interactive, easier for the user to analyze the data. The result is a story with 3 dashboards that can fulfill the requirement from BPS staff and has been tested with a satisfied result in the UAT (User Acceptance Test).
| Item Type: | Article |
|---|---|
| Keywords: | Dashboard, data visualization, disease, malaria, Tableau |
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 006 Special Computer Methods 600 Technology (Applied Sciences) > 600 Technology > 607 Education, Research, Related Topics 600 Technology (Applied Sciences) > 610 Medicine and Health > 616 Diseases |
| Divisions: | Faculty of Engineering & Informatics > Information System |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 25 Nov 2021 07:52 |
| Last Modified: | 25 Nov 2021 07:52 |
| URI: | https://kc.umn.ac.id/id/eprint/19284 |
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