Klasifikasi Penyakit Menular Seksual Menggunakan Naïve Bayes

Gusti Eka Yuliastuti, Citra Nurina Prabiantissa, Agung Mustika Rizki

Abstract

The number of sufferers of Sexually Transmitted Diseases (STD) in Indonesia is starting to increase. One example of the case is in the city of Malang, in 2014 as many as 466 people suffer from HIV and 14 people suffer from syphilis. According to the Malang city health report, the average patient is 25 to 49 years old. Some are asymptomatic, where the patient does not feel any symptoms and is not even detected until a medical examination is carried out. In detecting this PMS can use information technology. One way is to build an expert system that applies the Naïve Bayes algorithm to help classify the STD you suffer based on the symptoms you feel. The accuracy results obtained in this study amounted to 76.67%.

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References

Aditama, T. Y. (2011). Pedoman Nasional Penanganan Infeksi Menular Seksual. Kementrian Kesehatan Republik Indonesia.

Bianto, M. A., Kusrini, K., & Sudarmawan, S. (2020). Perancangan Sistem Klasifikasi Penyakit Jantung Menggunakan Naïve Bayes. Creative Information Technology Journal, 6(1), 75. https://doi.org/10.24076/citec.2019v6i1.231

Dinas Kesehatan Kota Malang. (2015). Profil Kesehatan Kota Malang Tahun 2014.

Ginantra, N. L. W. S. R., Arifah, F. N., Wijaya, A. H., Septarini, R. S., Ahmad, N., Ardiana, D. P. Y. A., Effendy, F., Iskandar, A., Hazriani, H., Sari, I. Y., Gustiana, Z., Prianto, C., Gustian, D., & Negara, E. S. (2021). Data Mining dan Penerapan Algoritma (R. Watrianthos & J. Simarmata (eds.)). Yayasan Kita Menulis.

Jefi, J., Hendri, H., Afni, N., Salim, A., & Maulana, Y. I. (2021). Penerapan Algoritma Naive Bayes dalam Memprediksi Penyakit Lambung. Journal of Information System, Informatics and Computing, 5(2). https://doi.org/10.52362/jisicom.v5i2.659

Nurdiana, N., & Algifari, A. (2020). Studi Komparasi Algoritma ID3 dan Algoritma Naive Bayes untuk Klasifikasi Penyakit Diabetes Mellitus. INFOTECH Journal, 6(2), 18–23. https://ejournal.unma.ac.id/index.php/infotech/article/view/816

Ridwan, A. (2020). Penerapan Algoritma Naïve Bayes untuk Klasifikasi Penyakit Diabetes Mellitus. Jurnal SISKOM-KB (Sistem Komputer Dan Kecerdasan Buatan), 4(1), 15–21. https://doi.org/10.47970/siskom-kb.v4i1.169

Rizki, A. M. (2021). Sistem Pakar Diagnosa Penyakit Menular Seksual Menggunakan K-NN. SCAN - Jurnal Teknologi Informasi Dan Komunikasi, 16(2), 2–5. https://doi.org/10.33005/scan.v16i2.2691

Rizki, A. M., Maulana, H., Kartika, D. S. Y., & Yuliastuti, G. E. (2021). Classification Of Sexually Transmitted Infectional Diseases Using Artificial Neural Networks. Jurnal Mantik, 5(36), 1759–1765.

Shafarindu, A. I., Ernawati, L., & Zaidiah, A. (2021). Penerapan Algoritma Naive Bayes untuk Klasifikasi Tingkat Kebugaran Jasmani Berdasarkan Hasil Pengukuran pada Pegawai. Seminar Nasional Mahasiswa Ilmu Komputer Dan Aplikasinya (SENAMIKA), September, 278–287.

World Health Organization. (2016). Media Centre-Sexually Transmitted Infections(STIs). http://www.who.int/mediacentre/factsheets/fs110/en/

Yuliastuti, G. E., Alfiyatin, A. N., Rizki, A. M., Hamdianah, A., Taufiq, H., & Mahmudy, W. F. (2018). Performance Analysis of Data Mining Methods for Sexually Transmitted Disease Classification. International Journal of Electrical and Computer Engineering, 8(5), 3933–3939. https://doi.org/10.11591/ijece.v8i5.pp3933-3939

Yuliastuti, G. E., Mahmudy, W. F., & Rizki, A. M. (2017a). Implementation of Genetic Algorithm to Solving Travelling Salesman Problem with Time Window (TSP-TW) for Scheduling Tourist Destinations in Malang City. Journal of Information Technology and Computer Science, 2(1), 1–10.

Yuliastuti, G. E., Mahmudy, W. F., & Rizki, A. M. (2017b). Penanganan Fuzzy Time Window pada Travelling Salesman Problem (TSP) dengan Penerapan Algoritma Genetika. MATICS Jurnal Ilmu Komputer Dan Teknologi Informasi, 9(1), 38–43.

DOI: https://doi.org/10.31284/j.integer.2022.v7i1.2883

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