Analisis Perbandingan Algoritma C4.5 Dan Naïve Bayes Dalam Memprediksi Penyakit Cerebrovascular

JI : Jurnal Informatika [ISSN Print 2355-6579] [ISSN Online 2528-2247]
1 April 2022 oleh
Analisis Perbandingan Algoritma C4.5 Dan Naïve Bayes Dalam Memprediksi Penyakit Cerebrovascular
kelvin leonardi

Abstrak


Cerebrovascular accidents or strokes are one of the leading causes of death worldwide. Stroke is a disease caused by a malfunction of the blood vessels that supply the blood to the brain. Machine learning is a technology that can be used to predict stroke. Machine learning algorithms are constructive when making accurate predictions and providing accurate analysis. One of the machine learning classification algorithms that can be used for prediction is the Decision Tree C4.5 algorithm and the Naive Bayes algorithm. The purpose of this study is to compare the accuracy and performance of the two algorithms for predicting cerebrovascular disease or stroke. Based on the results of the study, it was found that the C4.5 algorithm achieved a higher accuracy of 95% and the Naive Bayes algorithm achieved a precision of 91%.

Download PDF

Kelvin Leonardi Kohsasih

Universitas Potensi Utama

Zakarias Situmorang

Universitas Katolik Santo Thomas

Agarwal, V. (2015). Research on Data Preprocessing and Categorization Technique for Smartphone Review Analysis. International Journal of Computer Applications, 131(4), 30–36. https://doi.org/10.5120/ijca2015907309

Amini, L., Azarpazhouh, R., Farzadfar, M. T., Mousavi, S. A., Jazaieri, F., Khorvash, F., Norouzi, R., & Toghianfar, N. (2013). Prediction and control of stroke by data mining. International Journal of Preventive Medicine, 4(Suppl 2), S245-9. http://www.ncbi.nlm.nih.gov/pubmed/23776732

Chun-An Cheng, Yi-Ching Lin, & Hung-Wen Chiu. (2014). Prediction of the Prognosis of Ischemic Stroke Patients after Intravenous Thrombolysis Using Artificial Neural Networks. Integrating Information Technology and Management for Quality of Care, 202, 115–118. https://doi.org/10.3233/978-1-61499-423-7-115

Elisa, E. (2017). Analisa dan Penerapan Algoritma C4.5 Dalam Data Mining Untuk Mengidentifikasi Faktor-Faktor Penyebab Kecelakaan Kerja Kontruksi PT.Arupadhatu Adisesanti. 2(1).

fedesoriano. (2021, January 27). Stroke Prediction Dataset. Kaggle. https://www.kaggle.com/fedesoriano/stroke-prediction-dataset/metadata

Mutiarasari, D., Kesehatan, B. I., Komunitas, M.-K., & Kedokteran, F. (2019). ISCHEMIC STROKE: SYMPTOMS, RISK FACTORS, AND PREVENTION. In Jurnal Ilmiah Kedokteran (Vol. 6, Issue 1).

Sailasya, G., & Kumari, G. L. A. (2021). Analyzing the Performance of Stroke Prediction using ML Classification Algorithms. International Journal of Advanced Computer Science and Applications, 12(6), 2021. https://doi.org/10.14569/IJACSA.2021.0120662

Sapna Devi, & Dr. Arvind Kalia. (2015). Study of Data Cleaning & Comparison of Data Cleaning Tools. International Journal of Computer Science and Mobile Computing, 4(3), 360–370. http://www.ijcsmc.com/

Setyanto dan Hanif Al Fattah, A. (2017). Analisis Perbandingan Algoritma Decision Tree (C4.5) Dan K-Naive Bayes Untuk Mengklasifikasi Penerimaan Mahasiswa Baru Tingkat Universitas. In Indonesian Journal of Applied Informatics (Vol. 2, Issue 1).

Singh, M. S., & Choudhary, P. (2017). Stroke prediction using artificial intelligence. 2017 8th Annual Industrial Automation and Electromechanical Engineering Conference (IEMECON), 158–161. https://doi.org/10.1109/IEMECON.2017.8079581

Wibawa, A. P., Kurniawan, A. C., Murti, D. M. P., Adiperkasa, R. P., Putra, S. M., Kurniawan, S. A., & Nugraha, Y. R. (2019). Naïve Bayes Classifier for Journal Quartile Classification. International Journal of Recent Contributions from Engineering, Science & IT (IJES), 7(2), 91. https://doi.org/10.3991/ijes.v7i2.10659

Widyaswara Suwaryo, P. A., Widodo, W. T., & Setianingsih, E. (2019). Faktor Risiko yang Mempengaruhi Kejadian Stroke. Jurnal Keperawatan, 11(4), 251–260. https://doi.org/10.32583/keperawatan.v11i4.530

Citation:

K. L. Kohsasih, and Z. Situmorang, “Analisis Perbandingan Algoritma C4.5 Dan Naïve Bayes Dalam Memprediksi Penyakit Cerebrovascular”, Jurnal Informatika, vol. 9, no. 1, hlm. 13-17, April 2022.

Publication:
Vol 9 No 1 (2022): Jurnal Informatika
DOI:
10.31294/inf.v9i1.11931

Copyright:

Copyright (c) Jurnal Informatika
Analisis Perbandingan Algoritma C4.5 Dan Naïve Bayes Dalam Memprediksi Penyakit Cerebrovascular
kelvin leonardi 1 April 2022
Share post ini
Label
C4.5 Machine learning Naive Bayes
Blog-blog kami
Arsip