Comparison of Naive Bayes and Dempster Shafer Methods in Expert System for Early Diagnosis of COVID-19
Keywords:
COVID-19, Dempster Shafer, Diagnosis, Expert system, Naive Bayes
Abstract
COVID-19 is a respiratory infection disease caused by the corona virus. Transmission of this virus can spread very quickly so that the number of cases of the corona virus continues to grow and becomes an epidemic that spreads not only in Indonesia but also in other countries in the world. The purpose of this study is to build an expert system that is able to diagnose Covid-19 early by using a comparison of the Nave Bayes method and the Dempster Shafer method. The amount of data used in this study is 550 data, consisting of 500 training data and 50 testing data. While the variables used are symptoms related to COVID-19 as many as 17 symptoms consisting of G01, G02, G03, G04, G05, G06, G07, G08, G09, G10, G11, G12, G13, G14, G15, G16, G17. The diagnostic data consists of Suspected (PDP), Non-Suspected, and Close Contact (ODP). The results of the percentage test by comparing system diagnoses with expert diagnoses, for the nave Bayes method it has an accuracy of 96% with 48 diagnoses according to expert diagnoses from 50 tested data. Meanwhile, the Dempster Shafer method has an accuracy of 40% with 20 diagnoses according to expert diagnoses from 50 tested data. Based on the results of this study, the Naive Bayes and Dempster Shafer methods can be applied to an expert system for early diagnosis of COVID-19, from the results of the system testing the Naive Bayes method has better accuracy than the Dempster Shafer method.
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[28] N. Nurdin, M. Suhendri, Y. Afrilia, and R. Rizal, “Klasifikasi Karya Ilmiah (Tugas Akhir) Mahasiswa Menggunakan Metode Naive Bayes Classifier (NBC),” Jurnal SISTEMASI, vol. 10, no. 2, pp. 268–279, May 2021, doi: 10.32520/stmsi.v10i2.1193.
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[3] M. Vadiati, A. Beynaghi, P. Bhattacharya, E. R. Bandala, and M. Mozafari, “Indirect effects of COVID-19 on the environment : How deep and how long ?,” Science of the Total Environment, vol. 810, no. March, pp. 1–5, 2022.
[4] M. Akat and K. Karatas, “Psychological effects of covid-19 pandemic on society and Its reflections on education,” Turkish Studies, vol. 15, no. 4, pp. 1–13, 2020.
[5] Nurdin, U. M. P. Nasution, H. A. Aidilof, and Bustami, “Implementasi Fuzzy C-Means untuk Menentukan Tingkat Kepuasan Mahasiswa dalam Pembelajaran Online Implementation of Fuzzy C-Means to Determine Student Satisfaction Levels,” Jurnal Sistemasi, vol. 11, no. 1, pp. 121–136, 2022.
[6] A. Susilo et al., “Coronavirus Disease 2019 : Tinjauan Literatur Terkini Coronavirus Disease 2019 : Review of Current Literatures,” Jurnal Penyakit Dalam Indonesia, vol. 7, no. 1, pp. 45–67, 2020.
[7] S. R. Dubey, “Corona Virus,” International Journal of Nursing Education and Research, vol. 8, no. 3, pp. 411–414, 2020, doi: 10.5958/2454-2660.2020.00091.5.
[8] N. I. Fitriani, “Tinjauan Pustaka Covid-19; Virologi, Patogenesis, Dan Manivestasi Klinis,” Journal Medika Malahayati, vol. 21, no. 1, pp. 1–9, 2020.
[9] J. Irawan, Buku Pegangan Kuliah Sistem Pakar. Surabaya: Sekolah Tinggi Manajemen Informatika & Teknik Komputer Surabaya (STIKOM), 2007.
[10] A. Saleh, “Implementasi Metode Klasifikasi Naïve Bayes Dalam Memprediksi Besarnya Penggunaan Listrik Rumah Tangga,” Creative Information Technology Journal, vol. 2, no. 3, pp. 207–217, 2015.
[11] Zulvandri, “Sistem Pakar Untuk Diagnosa Penyakit Mata Menggunakan Pendekatan Metode Naive Bayes Berbasis Web,” niversitas Islam Negeri Sultan Syarif Kasimriau Pekanbaru, 2013.
[12] M. T. Kalimatullah, S. Adi Wibowo, and K. Auliasari, “Analisa Perbandingan Metode Certainty Factor Dengan Dempster Shafer Pada Sistem Pakar Untuk Mendiagnosis Penyakit Balita Usia Kurang Dari 5 Tahun,” JATI (Jurnal Mahasiswa Teknik Informatika), vol. 4, no. 1, pp. 118–128, 2020, doi: 10.36040/jati.v4i1.2300.
[13] L. Septiana, “Metode Dempster-Shafer Untuk Sistem Pakar Deteksi Kerusakan Mesin Cuci Berbasis Web,” Jurnal Techno Nusa Mandiri, vol. 12, no. 2, pp. 137–146, 2015.
[14] R. Ristandi, N. Hidayat, and M. A. Fauzi, “Pemodelan Sistem Pakar Diagnosa Hama-Penyakit pada Tanaman Bawang Merah Menggunakan Metode Naïve Bayes,” Universitas Brawijaya, 2016.
[15] Budianto, I. Fitri, and Winarsih, “Expert System for Early Detection of Disease in Corn Plant Using Naive Bayes Method,” Jurnal Mantik, vol. 3, no. 4, pp. 308–317, 2020.
[16] R. S. Wahyuningtyas, Tursina, and H. S. Pratiwi, “Sistem Pakar Penentuan Jenis Kulit Wajah Wanita Menggunakan Metode Naïve Bayes,” JUSTIN (Jurnal Sistem dan Teknologi Informasi), vol. 4, no. 1, pp. 27–32, 2015.
[17] Chairun Nas, “Sistem Pakar Diagnosa Penyakt Tiroid Menggunakan Metode Dempster Shafer,” Jurnal Teknologi Dan Open Source, vol. 2, no. 1, pp. 1–14, 2019.
[18] E. K. Panggabean, “Comparative Analysis Of Dempster Shafer Method With Certainty Factor Method For Diagnose Stroke Diseases,” International Journal of Artificial Intelligence Research, vol. 2, no. 1, pp. 37–41, Mar. 2018, doi: 10.29099/ijair.v2i1.53.
[19] M. Ihsan, F. Agus, and D. M. Khairina, “Penerapan Metode Dempster Shafer Untuk Sistem Deteksi Penyakit Tanaman Padi,” in Prosiding Seminar Nasional Ilmu Komputer dan Teknologi Informasi (SAKTI), 2017, vol. 2, no. 1, pp. 128–135.
[20] M. L. C. Buono, N. Pandiangan, and S. H. D. Loppies, “The Implementation Of An Expert System In Diagnosing Skin Diseases Using The Dempster-Shafer Method,” Journal of Physics: Conference Series, vol. 1569, no. 2, pp. 1–11, Jul. 2020, doi: 10.1088/1742-6596/1569/2/022028.
[21] R. Kurniawan, M. Z. A. Nazri, S. N. H. S. Abdullah, Z. A. Othman, and S. Abdullah, “Bayesian network and dempster-shafer theory for early diagnosis of eye diseases,” Compusoft An International Journal of Advanced computer teknologi, vol. 9, no. 4, pp. 3642–3651, 2020.
[22] Aristoteles, K. Adhianto, R. Andrian, and Y. N. Sari, “Comparative analysis of cow disease diagnosis expert system using Bayesian network and Dempster-Shafer method,” International Journal of Advanced Computer Science and Applications, vol. 10, no. 4, pp. 227–235, 2019, doi: 10.14569/ijacsa.2019.0100427.
[23] M. F. Suryana, F. Fauziah, and R. T. K. Sari, “Implementasi Sistem Pakar Menggunakan Metode Certainty Factor Untuk Mendiagnosa Dini Corona Virus Desease (COVID-19),” Jurnal Media Informatika Budidarma, vol. 4, no. 3, pp. 559–566, Jul. 2020, doi: 10.30865/mib.v4i3.2132.
[24] H. Nahumury, A. Mulyani, and H. Nurdin, “Sistem Pendukung Keputusan Mendiagnosa Penyakit Virus Corona ( Covid-19 ) Menggunakan Metode Dempster-Shafer JISAMAR ( Journal of Information System , Applied , Management , Accounting and Researh ) p-ISSN : 2598-8700 ( Printed ) JISAMAR ( Journal of Info,” JISAMAR, Jurnal Of Information System, Applied, Management, Accounting and Research, vol. 4, no. 4, pp. 207–214, 2020.
[25] R. Al Dzahabi 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, Jul. 2021, doi: 10.35870/jtik.v5i3.221.
[26] D. Silahudin, Henderi, and A. Holidin, “Model Expert System for Diagnosis of Covid-19 Using Naïve Bayes Classifier,” IOP Conference Series: Materials Science and Engineering, vol. 1007, no. 1, pp. 1–7, Dec. 2020, doi: 10.1088/1757-899X/1007/1/012067.
[27] S. D. S. Dass, F. Meskaran, and M. Saeedi, “Expert system for early diagnosis of covid-19,” International Journal of Current Research and Review, vol. 12, no. 22, pp. 162–165, 2020, doi: 10.31782/IJCRR.2020.122227.
[28] N. Nurdin, M. Suhendri, Y. Afrilia, and R. Rizal, “Klasifikasi Karya Ilmiah (Tugas Akhir) Mahasiswa Menggunakan Metode Naive Bayes Classifier (NBC),” Jurnal SISTEMASI, vol. 10, no. 2, pp. 268–279, May 2021, doi: 10.32520/stmsi.v10i2.1193.
Published
2022-11-30
How to Cite
Nurdin, N., Susanti, E., Aidilof, H., & Priyanto, D. (2022). Comparison of Naive Bayes and Dempster Shafer Methods in Expert System for Early Diagnosis of COVID-19. MATRIK : Jurnal Manajemen, Teknik Informatika Dan Rekayasa Komputer, 22(1), 215-228. https://doi.org/https://doi.org/10.30812/matrik.v22i1.2280
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