Implementation of association rule method and topsis method to decision support system for determining epidemic dengue based on risk factors association

ermaita, ermatita (2017) Implementation of association rule method and topsis method to decision support system for determining epidemic dengue based on risk factors association. Journal of Theoretical and Applied Information Technology, 95 (1). ISSN 1817-3195

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Abstract

Endemic prevention of harmful diseases such as dengue fever must be handling seriously to minimize the risk posed by the disease. Dengue Hemorrhagic Fever (DHF) is a disease that causes area endemic. There are various risk factors that can lead to endemic dengue. These risk factors usually associated with one another that could provide great potential occurrence of endemic dengue. This endemic must be overcome in order to save from dengue fever. This study developed a decision support system for prevention of dengue based risk factors association. The modeling of Decision support system used the method of Association Rule combined Technique For Others Reference method by Similarity to Ideal Solution (TOPSIS). Results of this research is a recommendation for decision making handling of endemic dengue based on risk factors associated. The system can be handling prevention of dengue fever endemic that can be addressed quickly.

Item Type:	Article
Uncontrolled Keywords:	Keywords: Decision Support Systems, TOPSIS, Endemic, Dengue Fever
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 55101-Informatics (S2)
Depositing User:	Dr Ermatita zuhairi
Date Deposited:	06 Apr 2023 14:34
Last Modified:	06 Apr 2023 14:34
URI:	http://repository.unsri.ac.id/id/eprint/94047

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