Authors:

Ni Komang Santi Cahyani, I Ketut Gede Suhartana

Abstract:

“Cardiovascular disease is a non-communicable disease that can cause death due to interfering with heart function. In this case, the classification of cardiovascular disease does make it easier for other medical personnel to help diagnose cardiovascular disease. Cardiovascular disease classification uses the Fuzzy K-Nearest Neighbor (FKNN) method to determine the optimum value of the nearest neighbor. The classification of cardiovascular disease is divided into two, having cardiovascular disease and not having cardiovascular disease. The results of classification using the Fuzzy K-Nearest Neighbor (FKNN) method with testing using a confusion matrix resulted in an accuracy of 80.21% at values of K = 13 and K = 15.”

Keywords

Keyword Not Available

Downloads:

Download data is not yet available.

References

References Not Available

PDF:

https://jurnal.harianregional.com/jnatia/full-92545

Published

2022-11-25

How To Cite

CAHYANI, Ni Komang Santi; SUHARTANA, I Ketut Gede. Classification of Cardiovascular Disease using the Fuzzy K-Nearest Neighbor Method (FKNN).Jurnal Nasional Teknologi Informasi dan Aplikasnya, [S.l.], v. 1, n. 1, p. 141-146, nov. 2022. ISSN 3032-1948. Available at: https://jurnal.harianregional.com/jnatia/id-92545. Date accessed: 28 Aug. 2025.

Citation Format

ABNT, APA, BibTeX, CBE, EndNote - EndNote format (Macintosh & Windows), MLA, ProCite - RIS format (Macintosh & Windows), RefWorks, Reference Manager - RIS format (Windows only), Turabian

Issue

Vol 1 No 1 (2022): JNATIA Vol. 1, No. 1, November 2022

Section

Articles

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License