Pendeteksian Penyakit Limfadenopati dengan Menerapkan Metode Naive Bayes
-
Fifto Nugroho
*
Universitas Bung Karno, Jakarta,
Indonesia
- Yoga Listi Prambodo Universitas Bung Karno, Jakarta, Indonesia (*) Corresponding Author
Abstract
Lymphadenopathy or often known as lymphatic disease is a disease that is very risky if not handled properly. There are so many signs or symptoms of this disease that have not been known to the public, some even consider it an ordinary lump that grows on the human body and do not know that they are experiencing lymphadenopathy in themselves [3]. Usually to find out the disease in the lump, do an examination to the hospital or consult a doctor. Based on these problems, a technique or method is needed that can facilitate the community in diagnosing the early symptoms of this lymphadenopathy, one of which is by using an expert system. An expert system that in solving problems with oral and nail diseases, one of them uses the Naïve Bayes method. Naïve Bayes is a probability method by predicting future opportunities based on past experience. With the aim of making it easier for ordinary people to take the first step in dealing with diseases that are experienced about lumps on the body. Based on the results of the application of the Naïve Bayes method, the results are based on the input of the user's symptoms, the accuracy of the results of lymphadenopathy in users with mild lymphadenopathy is 32% and acute lymphadenopathy is 68%. critical
Downloads
References
N. I. K. Ginano, M. Muis, and B. Murtala, “KESESUAIAN CT SCAN LEHER DENGAN HASIL BIOPSI ASPIRASI JARUM HALUS DALAM MENGIDENTIFIKASI KEGANASAN LIMFADENOPATI LEHER,” Mandala of Health: AScientific Journal, vol. 11, no. 2, pp. 94–101, 2018.
Muhsin, “PERAN SEL GRANULOSIT PADA PENYAKIT FILARIASIS,” Jurnal Kedokteran Syiah Kuala, vol. 17, no. 1, pp. 43–53, 2017.
C. Saputri, M. Yetri, and U. F. S. S. Pane, “SISTEM PAKAR MENDIAGNOSIS PENYAKIT KELENJAR GETAH BENING DENGAN MENGGUNAKAN METODE TEOREMA BAYES,” Jurnal CyberTech, vol. 2, no. 2, pp. 1–12, 2019.
D. Aldo, “Sistem Pakar Diagnosis Hama Dan Penyakit Bawang Merah Menggunakan Metode Dempster Shafer,” KOMPUTIKA: JURNAL SISTEM KOMPUTER, vol. 9, no. 2, 2020.
D. P. Delima and R. T. Prasetio, “SISTEM PAKAR DIAGNOSA KOMPLIKASI OBESITAS PADA REMAJA MENGGUNAKAN METODE CERTAINTY FACTOR,” in eProsiding Sistem Informasi (POTENSI), 2021, pp. 51–60.
M. R. Handoko and Neneng, “SISTEM PAKAR DIAGNOSA PENYAKIT SELAMA KEHAMILAN MENGGUNAKAN METODE NAIVE BAYES BERBASIS WEB,” Jurnal Teknologi dan Sistem Informasi (JTSI), vol. 2, no. 1, pp. 50–58, 2021.
S. L. Fajri and G. W. Nurcahyo, “Sistem Pakar dalam Menganalisis Penyakit Kelenjar Getah Bening Menggunakan Metode Certainty Factor,” Jurnal Sistim Informasi dan Teknologi, vol. 3, no. 3, pp. 269–274, 2021.
S. R. Rasyid, A. J. Wulan, and A. Y. Prabowo, “DIAGNOSIS DAN TATA LAKSANA LIMFADENOPATI,” MEDICAL JOURNAL OF LAMPUNG UNIVERSITY, no. 3, pp. 261–265, 2018.
Yuliana, Paradise, and Kusrini, “Sistem Pakar Diagnosa Penyakit Ispa Menggunakan Metode Naive Bayes Classifier Berbasis Web,” Jurnal CSRID, vol. 10, no. 3, pp. 127–138, 2018.
I. Gunawan and Y. Fernando, “SISTEM PAKAR DIAGNOSA PENYAKIT KULIT PADA KUCING MENGGUNAKAN METODE NAIVE BAYES BERBASIS WEB,” Jurnal Informatika dan Rekayasa Perangkat Lunak (JATIKA), vol. 2, no. 2, pp. 239–247, 2021.
A. S. R. Sinaga and D. Simanjuntak, “SISTEM PAKAR DETEKSI GIZI BURUK BALITA DENGAN METODE NAÏVE BAYES CLASSIFIER,” Jurnal Inkofar, vol. 2, no. 1, pp. 54–60, 2019.
R. A. D. Yunas, A. Triayudi, and I. D. Sholihati, “Implementasi Sistem Pakar untuk Mendeteksi Virus Covid-19 dengan Perbandingan Metode Naïve Bayes dan Certainty Factor,” Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), vol. 5, no. 3, pp. 338–345, 2021.
F. A. Nugroho, A. F. Solikin, M. D. Anggraini, and Kusrini, “Sistem Pakar Diagnosa Virus Corona Dengan Metode Naïve Bayes,” TIKomSiN : Jurnal Teknologi Informasi dan Komunikasi Sinar Nusantara, vol. 9, no. 2, pp. 81–88, 2021.
M. F. Andriansyah, D. Yusup, and A. Voutama, “SISTEM PAKAR DETEKSI DINI COVID-19 MENGGUNAKAN METODE NAÏVE BAYES BERBASIS WEBSITE,” Journal of Information Technology and Computer Science(INTECOMS), vol. 4, no. 2, pp. 446–455, 2021.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Pendeteksian Penyakit Limfadenopati dengan Menerapkan Metode Naive Bayes
Pages: 199-204
Copyright (c) 2022 Fifto Nugroho, Yoga Listi Prambodo
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).
