Abstract
Advances in medical technology have enabled the application of machine learning for disease classification, including monkeypox. Monkeypox is a zoonotic disease caused by the monkeypox virus and can be detected through patient data. This study aims to compare the performance of Support Vector Machine (SVM), k-Nearest Neighbors (KNN), and Naïve Bayes algorithms in building a monkeypox classification model. The dataset used consists of 25,000 patient records. The results show that the SVM model with a linear kernel achieved the best accuracy compared to KNN and Naïve Bayes. These findings demonstrate that the SVM model with a linear kernel is highly effectivein classifying monkeypox, offering great potential for further medical applications.

Kelvin Leonardi Kohsasih
Universitas Potensi Utama
- Adapala, J. S. S., Gontla, K. V. S., Koka, V., Modugula, S. L., Mothukuri, R., & Bulla, S. (2023). Breast Cancer Classification using SVM and KNN. 2023 Second International Conference on Electronics and Renewable Systems (ICEARS), 1617–1621. https://doi.org/10.1109/ICEARS56392.2023.10085546
- Alakunle, E., Moens, U., Nchinda, G., & Okeke, M. I. (2020). Monkeypox virus in nigeria: Infection biology, epidemiology, and evolution. In Viruses (Vol. 12, Issue 11). MDPI AG. https://doi.org/10.3390/v12111257
- Altindis, M., Puca, E., & Shapo, L. (2022). Diagnosis of monkeypox virus – An overview. In Travel Medicine and Infectious Disease (Vol. 50). Elsevier Inc. https://doi.org/10.1016/j.tmaid.2022.102459
- Anugrah, W., Haerani, E., & Oktavia, L. (2024). Klasifikasi Penyakit Cacar Monyet Menggunakan Metode Support Vector Machine. Journal of Computer System and Informatics, 5(3), 558–566. https://doi.org/10.47065/josyc.v5i3.5149
- Artanti, V. (2024). Classification of Cardiovascular Diseases Using the K-Nearest Neighbors (KNN) Algorithm. IEESE International Journal of Science and Technology (IJSTE), 13(2), 12–27.
- Bagas Pattimura, Y., Paitin Kanoena, M., & Dwi Hartanto, A. (2023). Implementasi Algoritma Naïve Bayes dalam Identifikasi Citra Jenis Penyakit Cacar Dengan Image Processing. Information Technology Journal, 5(1).
- Belete, D. M., & Huchaiah, M. D. (2021). Performance Evaluation of Classification Models for HIV/AIDS Dataset. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 70, pp. 109–125). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-16-2934-1_7
- Cichosz, P. (2015). Kernel methods. In Data Mining Algorithms (pp. 454–497). Wiley. https://doi.org/10.1002/9781118950951.ch16
- Elshewey, A. M., Shams, M. Y., El-Rashidy, N., Elhady, A. M., Shohieb, S. M., & Tarek, Z. (2023). Bayesian Optimization with Support Vector Machine Model for Parkinson Disease Classification. Sensors, 23(4). https://doi.org/10.3390/s23042085
- Espejel, A. H., & Cantu-Ortiz, F. J. (2021). Data Mining Techniques to Build A Recommender System. 2021 International Symposium on Computer Science and Intelligent Controls (ISCSIC), 217–221. https://doi.org/10.1109/ISCSIC54682.2021.00047
- Guo, W., Wang, G., Wang, C., & Wang, Y. (2023). Distribution network topology identification based on gradient boosting decision tree and attribute weighted naive Bayes. Energy Reports, 9, 727–736. https://doi.org/10.1016/j.egyr.2023.04.256
- Haque, Md. E., Ahmed, Md. R., Nila, R. S., & Islam, S. (2022). Classification of Human Monkeypox Disease Using Deep Learning Models and Attention Mechanisms. https://doi.org/https://doi.org/10.48550/arXiv.2211.15459
- Huang, Y., Mu, L., & Wang, W. (2022). Monkeypox: epidemiology, pathogenesis, treatment and prevention. In Signal Transduction and Targeted Therapy (Vol. 7, Issue 1). Springer Nature. https://doi.org/10.1038/s41392-022-01215-4
- Kohsasih, K. L., Hayadi, B. H., Robet, Juliandy, C., Pribadi, O., & Andi. (2022). Sentiment Analysis for Financial News Using RNN-LSTM Network. 2022 4th International Conference on Cybernetics and Intelligent System, ICORIS 2022. https://doi.org/10.1109/ICORIS56080.2022.10031595
- Kohsasih, K. L., & Situmorang, Z. (2022). Analisis Perbandingan Algoritma C4.5 dan Naïve Bayes Dalam Memprediksi Penyakit Cerebrovascular. Jurnal Informatika, 9(1), 13–17. https://doi.org/10.31294/inf.v9i1.11931
- Leni, D., Chamim, M., Sumiati, R., & Rosa, Y. (2023). Modeling Mechanical Component Classification Using Support Vector Machine with A Radial Basis Function Kernel. JURNAL Teknik Mesin, 16(2), 165–174. http://ejournal2.pnp.ac.id/index.php/jtm
- Lonang, S., Yudhana, A., & Biddinika, M. K. (2023). Performance Analysis for Classification of Malnourished Toddlers Using K-Nearest Neighbor. Scientific Journal of Informatics, 10(3), 313. https://doi.org/10.15294/sji.v10i3.45196
- Nagavelli, U., Samanta, D., & Chakraborty, P. (2022). Machine Learning Technology-Based Heart Disease Detection Models. Journal of Healthcare Engineering, 2022. https://doi.org/10.1155/2022/7351061
- Rabbani, S., Safitri, D., Rahmadhani, N., Sani, A. A. F., & Anam, M. K. (2023). Perbandingan Evaluasi Kernel SVM untuk Klasifikasi Sentimen dalam Analisis Kenaikan Harga BBM. MALCOM: Indonesian Journal of Machine Learning and Computer Science, 3(2), 153–160. https://doi.org/10.57152/malcom.v3i2.897
- Rochim, A. F., Kusumastuti, R., & Windasari, I. P. (2021). Comparison of Feature Selection for Naive Bayes Classification Method in A Case Study of The Corona virus Lockdown. 2021 International Conference on Data Science and Its Applications (ICoDSA), 215–220. https://doi.org/10.1109/ICoDSA53588.2021.9617471
- Safitri, L. R., Chamidah, N., Saifudin, T., & Alpandi, G. T. (2019). Comparison of Kernel Support Vector Machine In Stroke Risk Classification (Case Study: IFLS data). The 1st International Conference on Global Development. https://doi.org/http://dx.doi.org/10.12962/j23546026.y2019i6.6394
- Shaban, W. M., Rabie, A. H., Saleh, A. I., & Abo-Elsoud, M. A. (2021). Accurate detection of COVID-19 patients based on distance biased Naïve Bayes (DBNB) classification strategy. Pattern Recognition, 119, 108110. https://doi.org/10.1016/j.patcog.2021.108110
- Syafika, V. A. N., & Karisma, R. D. L. N. (2023). On Implementation of Support Vector Machine (SVM) in Determining the Classification of Stunting-Specific Intervention Index in Indonesia. Seminar Nasional Official Statistics, 2023(1), 267–276. https://doi.org/10.34123/semnasoffstat.v2023i1.1595
- Wang, L., Shang, J., Weng, S., Aliyari, S. R., Ji, C., Cheng, G., & Wu, A. (2023). Genomic annotation and molecular evolution of monkeypox virus outbreak in 2022. Journal of Medical Virology, 95(1). https://doi.org/10.1002/jmv.28036 World Health Organization. (2024). Multi-country outbreak of mpox. https://www.who.int/publications/m/item/multi-country-outbreak-of-mpox--external-situation-report-35--12-august-2024
Citation:
K. L. Kohsasih. "Comparison of SVM, KNN, And Naïve Bayes Algorithms in Monkeypox Disease Classification" TAMIKA, vol. 4, no. 2(Semnastik)(2024),hlm. 168-174.
Publication:
Vol. 4 No. 2(SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
DOI:
https://doi.org/10.46880/tamika.Vol4No2(SEMNASTIK).pp168-174
Copyright:
Copyright (c) Tamika