Rancang Bangun Sistem Informasi Prediksi Penyakit Jantung Berbasis Algoritma Naive Bayes
Keywords:
Heart, Naive Bayes Classifier, PredictionAbstract
Heart disease causes death in the world / year. High mortality from heart disease can be prevented and risk factors reduced if people have information about symptoms of heart disease. The number of factors collected to determine whether a person has cardiovascular disease or does not require a large enough data processing system is the heart of the data mining application with the Naive Bayes Classifier (NBC) method. Based on testing of the distribution of training data 80%, 85% and 90% the best accuracy was obtained using the method, namely at 90% training with an accuracy of 84%. The more training data used, the better the accuracy of the resulting NBC method.References
R. R. Juslim and F. Herawati, Penyakit Kardiovaskular, Yogyakarta: Graha Ilmu, 2018.
R. M. Benjamin, "The Million Heart Initiative:Progress In Preventing Heart Attacks And Stroke," Surgeon General’s Perspectives, pp. 558-560, 2012.
S. Fadlilah, A. Sucipto and T. Amestiasih, "Usia, Jenis Kelamin, Perilaku Merokok dan IMT Berhubungan Dengan Resiko Penyakit Kardiovaskular," Jurnal Keperawatan, vol. XII, no. 4, pp. 261-268, 2019.
A. Nugroho, A. B. Gumelar, A. G. Sooai, D. Sarvasti and P. L. Tahalele, "Perbandingan Performansi Algoritma Pengklasifikasian Terpandu Untuk Kasus Penyakit Kardiovaskular," RESTI, vol. IV, no. 5, pp. 998-1006, 2019.
J. W. Rossano, "Congenital heart disease: a global public health concern," Health Metrics and Evaluation, vol. IV, pp. 168-169, 2020.
A. Sakti, I. Alwi, Muhadi and H. Shatri, "Karakteristik Mortalitas Jemaah Haji Indonesia Akibat Penyakit Kardiovaskular," Jurnal Penyakit Dalam Indonesia, vol. VI, no. 4, pp. 178-181, 2019.
D. Zhao, "Epidemilogy Features of Cardiovaskular Disease in Asia," JACC, vol. I, no. 1, pp. 1-13, 2021.
N. A. Arsani, N. S. Wahyuni and N. M. Agustini, "Deteksi Dini Dan Pencegahan Penyakit Kardiovaskular," Proceeding Senadimas Undiksha, pp. 663-668, 2022.
Q. Yang and X. Wu, "10 Challenging Problems in Data Mining Research," International Journal of Information Technology & Decision Making, vol. V, pp. 1-9, 2006.
F. A. Hermawati, Data Mining, Yogyakarta: Andi, 2016.
Kusrini and E. T. Luthfi, Algoritma Data Mining, Yogyakarta: Andi, 2015.
J. Han and M. Kamber, Data Mining: Concept and Techniques, Third Edition, Waltham: Morgan Kaufmann, 2016.
R. N. Devita, H. W. Herwanto and A. P. Wibawa, "Perbandingan Kinerja Metode Naive Bayes Dan K-Nearest Neighbor Untuk Klasifikasi Artikel Berbahasa Indonesia," Jurnal Teknologi Informasi dan Ilmu Komputer, vol. V, pp. 427-434, 2018.
