(JELIKU) Jurnal Elektronik Ilmu Komputer Udayana
Vol 11 No 1 (2022): JELIKU Volume 11 No 1, August 2022

Penerapan Metode MFCC dan Naive Bayes untuk Deteksi Suara Paru-Paru




Article Info

Publish Date
08 Jul 2022

Abstract

Lung disease is an unpleasant illness that can be dangerous if not treated properly. This is because lung disease can infect others. The lungs are an important part of the human organ that distributes oxygen throughout the body, so this lung disease needs to be treated with proper procedures. Lung disease problems can be solved using an expert system. Expert systems can help doctors work to provide an early diagnosis of ear diseases. The method used in this study is the MFCC method, which provides compelling information about lung disease and provides treatment solutions based on the symptoms of each existing disease. This system is performed by calculating the symptom weights of the disease, which is obtained from expert experience, and produces the optimum value in the form of the maximum value. The highest value data provides the results of the disease diagnosis at the level of confidence in the form of percentage values. Based on the test results, the goodness of fit between the system diagnostics using the system validation test method and the expert diagnostic results is 90%. The results of the tests performed show that the system is operating normally according to its capabilities.

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Journal Info

Abbrev

JLK

Publisher

Subject

Computer Science & IT

Description

Aim and Scope: JELIKU publishes original papers in the field of computer science, but not limited to, the following scope: Computer Science, Computer Engineering, and Informatics Computer Architecture Parallel and Distributed Computer Computer Network Embedded System Human—Computer Interaction ...