Klasifikasi Penyakit Jantung Menggunakan Metode K-Nearest Neighbor
DOI:
https://doi.org/10.33096/ijodas.v1i1.3Keywords:
K-Nearest Neighbor, akurasi, presisi, recall, f-measureAbstract
Secara global, penyebab kematian nomor satu setiap tahunnya adalah penyakit kardiovaskuler. Penyakit kardiovaskuler adalah penyakit yang disebabkan gangguan fungsi jantung dan pembuluh darah(Kemenkes RI, 2014). K-Nearest Neighbor (KNN) adalah metode yang mencari kelompok objek dalam data training yang paling mirip dengan objek pada data baru atau data testing (Lestari, 2014). Penelitian ini mencakup pengukuran performa (akurasi, presisi, recall dan f-measure) metode KNN dengan nilai K 3 hingga 9 pada objek 1000 data pasien penyakit jantung yang diperoleh dari pusat dataset UCI Machine Learning Repository. Hasil dari pengukuran performa diperoleh nilai K terbaik adalah 6 dimana nilai akurasi 85%, presisi 78%, recall 93% dan f-measure sebesar 85%
Downloads
References
M. M. Baharuddin, T. Hasanuddin, and H. Azis, “Analisis Performa Metode K-Nearest Neighbor untuk Identifikasi Jenis Kaca,” Ilk. J. Ilm., vol. 11, no. 28, pp. 269–274, 2019.
A. Fitria and H. Azis, “Analisis Kinerja Sistem Klasifikasi Skripsi menggunakan Metode Naïve Bayes Classifier,” Pros. Semin. Nas. Ilmu Komput. dan Teknol. Inf., vol. 3, no. 2, pp. 102–106, 2018.
A. A. Karim, H. Azis, and Y. Salim, “Kinerja Metode C4.5 dalam Penyaluran Bantuan Dana Bencana 1,” Pros. Semin. Nas. Ilmu Komput. dan Teknol. Inf., vol. 3, no. 2, pp. 84–87, 2018.
L. Nurhayati and H. Azis, “Perancangan Sistem Pendukung Keputusan Untuk Proses Kenaikan Jabatan Struktural Pada Biro Kepegawaian,” Semin. Nas. Teknol. Inf. dan Multimed., pp. 6–7, 2016.
H. Azis, R. D. Mallongi, D. Lantara, and Y. Salim, “Comparison of Floyd-Warshall Algorithm and Greedy Algorithm in Determining the Shortest Route,” Proc. - 2nd East Indones. Conf. Comput. Inf. Technol. Internet Things Ind. EIConCIT 2018, pp. 294–298, 2018.
N. Fadhillah, Huzain Azis, and D. Lantara, “Validasi Pencarian Kata Kunci Menggunakan Algoritma Levenshtein Distance Berdasarkan Metode Approximate String Matching,” Pros. Semin. Nas. Ilmu Komput. dan Teknol. Inf., vol. 3, no. 2, pp. 3–7, 2018.
S. Chugh, K. Arivu Selvan, and R. K. Nadesh, “Prediction of heart disease using apache spark analysing decision trees and gradient boosting algorithm,” IOP Conf. Ser. Mater. Sci. Eng., vol. 263, no. 4, pp. 0–10, 2017.
M. Lestari, “Penerapan Algoritma Klasifikasi Nearest Neighbor (K-NN) Untuk Mendeteksi Penyakit Jantung,” Fakt. Exacta, vol. 7, no. September 2010, pp. 366–371, 2014.
V. Chaurasia, “Early Prediction of Heart Diseases Using Data Mining,” Caribb. J. Sci. Technol., vol. 1, no. December, pp. 208–217, 2013.
Rosmasari et al., “Usability Study of Student Academic Portal from a User’s Perspective,” Proc. - 2nd East Indones. Conf. Comput. Inf. Technol. Internet Things Ind. EIConCIT 2018, pp. 108–113, 2018.
Downloads
Published
Issue
Section
License
Authors retain copyright and full publishing rights to their articles. Upon acceptance, authors grant Indonesian Journal of Data and Science a non-exclusive license to publish the work and to identify itself as the original publisher.
Self-archiving. Authors may deposit the submitted version, accepted manuscript, and version of record in institutional or subject repositories, with citation to the published article and a link to the version of record on the journal website.
Commercial permissions. Uses intended for commercial advantage or monetary compensation are not permitted under CC BY-NC 4.0. For permissions, contact the editorial office at ijodas.journal@gmail.com.
Legacy notice. Some earlier PDFs may display “Copyright © [Journal Name]” or only a CC BY-NC logo without the full license text. To ensure clarity, the authors maintain copyright, and all articles are distributed under CC BY-NC 4.0. Where any discrepancy exists, this policy and the article landing-page license statement prevail.
