Comparison of Naive Bayes and Dempster Shafer Methods in Expert System for Early Diagnosis of COVID-19
DOI:
https://doi.org/10.30812/matrik.v22i1.2280Keywords:
COVID-19, Dempster Shafer, Diagnosis, Expert system, Naive BayesAbstract
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.
Downloads
References
[2] P. K. Ozili and T. Arun, “Spillover of COVID-19: Impact on the Global Economy,†in Managing Inflation and Supply Chain Disruptions in the Global Economy, IGI GLOBAL, 2022, pp. 1–29.
[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.
Downloads
Published
Issue
Section
How to Cite
Similar Articles
- M. Khairul Anam, Bunga Nanti Pikir, Muhammad Bambang Firdaus, Susi Erlinda, Agustin Agustin, Penerapan Na ̈ıve Bayes Classifier, K-Nearest Neighbor (KNN) dan Decision Tree untuk Menganalisis Sentimen pada Interaksi Netizen dan Pemeritah , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 21 No. 1 (2021)
- Anthony Anggrawan, Mayadi Mayadi, Application of KNN Machine Learning and Fuzzy C-Means to Diagnose Diabetes , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 22 No. 2 (2023)
- Winny purbaratri, Hindriyanto Dwi Purnomo, Danny Manongga, Iwan Setyawan, Hendry Hendry, Sentiment Analysis of e-Government Service Using the Naive Bayes Algorithm , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 23 No. 2 (2024)
- Pungkas Subarkah, Enggar Pri Pambudi, Septi Oktaviani Nur Hidayah, Perbandingan Metode Klasifikasi Data Mining untuk Nasabah Bank Telemarketing , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 20 No. 1 (2020)
- Supangat Supangat, Mohd Zainuri Bin Saringat, Mochamad Yovi Fatchur Rochman, Predicting Handling Covid-19 Opinion using Naive Bayes and TF-IDF for Polarity Detection , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 22 No. 2 (2023)
- Hermila A., Rahmat Taufik R. L Bau, Sitti Suhada, Abdulaziz Ahmed siyad, Predicting Gen Z’s Sentiments on Gorontalo’s CulturalWisdom UsingSentiment Analysis Models , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 24 No. 2 (2025)
- Agus Salim, Baginda Oloan Lubis, Pemilihan Merek Beras yang Diminati Konsumen Studi Kasus CV Beras Alami Menggunakan AHP , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 19 No. 1 (2019)
- Ni Wayan Sumartini Saraswati, I Gusti Ayu Agung Diatri Indradewi, Recognize The Polarity of Hotel Reviews using Support Vector Machine , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 22 No. 1 (2022)
- Sucipto Sucipto, Didik Dwi Prasetya, Triyanna Widiyaningtyas, Educational Data Mining: Multiple Choice Question Classification in Vocational School , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 23 No. 2 (2024)
- Marwan Hakim, SISTEM PAKAR PENENTUAN KAIDAH HUKUM DALAM ILMU NAHWU PADA BABUL MARFU’ATIL ASMA’ MENGGUNAKAN METODE FORWARD CHAINING , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 16 No. 1 (2016)
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Dadang Priyanto, Raisul Azhar, SISTEM APLIKASI UNTUK KEAMANAN DATA DENGAN ALGORITMA 'DES' (Data Encryption Standard) , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 16 No. 1 (2016)
- Dadang Priyanto, Bambang Krismono Triwijoyo, Deny Jollyta, Hairani Hairani, Ni Gusti Ayu Dasriani, Data Mining Earthquake Prediction with Multivariate Adaptive Regression Splines and Peak Ground Acceleration , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 22 No. 3 (2023)
- Deny Jollyta, Prihandoko Prihandoko, Dadang Priyanto, Alyauma Hajjah, Yulvia Nora Marlim, Comparison of Distance Measurements Based on k-Numbers and Its Influence to Clustering , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 23 No. 1 (2023)
- Musta’an Musta’an, Dadang Priyanto, SISTEM INFORMASI PENGADAAN BARANG LANGSUNG BERBASIS CLIENT-SERVER (Study Kasus di Universitas Mataram) , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 15 No. 2 (2016)
- Muhammad Hairul Abror, Dadang Priyanto, MEDIA BANTU PEMBELAJARAN IPA SMP SEBAGAI BEKAL MENGHADAPI UJIAN NASIONAL (UN) , MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer: Vol. 15 No. 1 (2015)