Expert System for Detecting TBC Disease Using Web-Based Fuzzy Mamdani Method (Lung TB): Expert System for Detecting TBC Disease Using Web-Based Fuzzy Mamdani Method (Lung TB)

Muhammad Ilham; Iwan Wahyudin; Deny Hidayatullah

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Published: May 31, 2020

Keywords:

fuzzy mamdani, MySQL, TB disease, PHP, Expert System

Issue

Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)

Section

Computer Science

Statistics Article

Article View : 257 Times

Muhammad Ilham

Universitas Nasional

Iwan Wahyudin

Universitas Nasional

Deny Hidayatullah

Universitas Nasional

Abstract

Along with advances in technology, the expert system greatly helps the performance of doctors in detecting diseases. The purpose of the expert system that was designed was to detect TB disease, this system was made to make it easier for users to find out TB disease information with symptoms experienced by people with TB symptoms. With the application of this expert system, it is expected to be able to overcome the problems experienced by doctors or experts in conducting consultations between doctors and patients. This system is designed using PHP programming with MySQL databases and the fuzzy mamdani method which helps build the system by assessing the input and output of the system implementation results. So resulting in an idea of the existing problem that the user can find out information on tuberculosis symptoms - symptoms experienced, while the admin can change the symptoms to be updated and replace the symptom code

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How to Cite

Ilham, M., Wahyudin, I. and Hidayatullah, D. (2020) “Expert System for Detecting TBC Disease Using Web-Based Fuzzy Mamdani Method (Lung TB): Expert System for Detecting TBC Disease Using Web-Based Fuzzy Mamdani Method (Lung TB)”, Jurnal Mantik, 4(1), pp. 723-730. Available at: https://iocscience.org/ejournal/index.php/mantik/article/view/842 (Accessed: 22April2026).

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