Imanzaghi, Thomas Andrew (2025) Implementasi Metode Fuzzy Mamdani Pada Sistem Pakar Mendiagnosis Penyakit Demam Berdarah. Undergraduate thesis, UPN Veteran Jawa Timur.
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Abstract
Most people tend to pay less attention to their health, especially regarding dengue fever, whose symptoms are often similar to those of a common fever. This causes many people to be reluctant to see a doctor, influenced by factors such as cost and low awareness of the importance of medical check-ups. to the doctor, influenced by factors such as cost and low awareness of the importance of medical examinations. To overcome this problem, artificial intelligence technology is needed that can help people recognize dengue fever symptoms early on. One of the proposed solutions is the development of an expert system-based web application with the Mamdani fuzzy approach. The Mamdani fuzzy method, which is based on a linguistic framework and fuzzy concepts, allows the management of knowledge from experts for intuitive decision making. The purpose of this research is to implement the method on a dengue fever diagnosis system, using a specific dataset as a reference. From the test results using confusion matrix, the system showed an accuracy of 92.8%, average precision of 90.6%, recall of 95.8%, and F1-Score of 92.6%, with an effectiveness value of 100%. This research proves that the system is able to provide information about dengue fever, diagnose based on symptoms, and offer solutions for handling it.
Item Type: | Thesis (Undergraduate) | ||||||||||||
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Subjects: | T Technology > T Technology (General) | ||||||||||||
Divisions: | Faculty of Computer Science > Departemen of Informatics | ||||||||||||
Depositing User: | thomas andrew imanzaghi | ||||||||||||
Date Deposited: | 05 Feb 2025 02:43 | ||||||||||||
Last Modified: | 05 Feb 2025 02:43 | ||||||||||||
URI: | https://repository.upnjatim.ac.id/id/eprint/34593 |
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