KLASIFIKASI DATA SET VIRUS CORONA MENGGUNAKAN METODE NAÃVE BAYES CLASSIFIER

Muhammad Misdram, Fahmi Syarifuddin, Anang Aris Widodo

Abstract


Abstract: At the beginning of 2020 the world of health was shocked by the discovery of a new virus that was known to have originated from this virus in Wuhan, China. Almost the whole world has experienced this virus pandemic. Then on February 11, 2020, the World Health Organization named the new virus Severa acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and the name of the disease as Coronavirus Disease 2019 (COVID-19) (WHO, 2020). At first, the transmission of this virus could not be determined whether it was between animal-human or human-human. Meanwhile, the number of cases continues to increase over time. At that time, there were 15 medics infected by one of the patients. It was finally confirmed that the transmission of pneumonia can be transmitted from human to human. Until now, the handling of Covid-19 patients is still continuing. This is because the number of patients continues to grow every day. For this reason, an application is needed that can monitor the cure rate for Covid-19 patients. This system is built using the Naïve Bayes Classification (NBC) method. The NBC method is a method used for classification and can predict future opportunities based on past experiences. The test results show that using the Nive Bayes Method has a fairly good accuracy, namely 84%.

 

Keywords : Covid-19, classification, Naïve Bayes Classifier

References


Afrizal. (2014). Metode Penelitian Kualitatif. Jakarta: Rajagrafindo.

Asia, C. N. (2020, january 28). Retrieved mei 16, 2020, from Wuhan virus outbreak: 15 medical workers, infected, 1 in critical condition: https://www.channelnewsasia.com/news/asia/wuhanpneumonia-outbreak-health-workers-coronavirus-12294212

Bafadal, I. (2009). Manajemen Peningkatan Mutu Sekolah Dasar. Jakarta: Bumi Aksara.

Behrouz Pirouz, Sina Shaffiee Haghshenas, Sami Shaffiee Haghshenas, & Patrizia Piro. (2020). Investigating a Serious Challenge in the Sustainable Development Process: Analysis of Confirmed cases of COVID-19 (New Type of Coronavirus) Through a Binary Classification Using Artificial Intelligence and Regression Analysis.

Derick Iskandar, Yoyon K Suprapto. (2015). Perbandingan Akurasi Klasifikasi Tingkat Kemiskinan Antara Algortima C4.5 dan Naive Bayes. 2 No.1.

Efraim Turban, J. E. (2005). Decision Support Systems and Intelligent Systems, Edisi 7, Jilid 1. New Jersey: Pearson Education, Inc .

eprint. (n.d.). Retrieved Mei 16, 2020, from http://eprints.dinus.ac.id/6315/1/Dataset.pdf

Hamakonda, T. d. (2002). Pengantar Klasifikasi Persepuluhan Dewey. Jakarta: BPK Gunung Mulya,.

Hasbimutsani. (2019, October 1). Retrieved Mei 16, 2020, from Virus : Pengertian, Definisi, Sejarah, Ciri – Ciri, dan Strukturnya Lengkap: https://penjaskes.co.id/virus-sejarah-ciri-cirinya-dan-struktur-terlengkap/

Ismail, A. (2008). Model-Model Pembelajaran Mutakhir. Yogyakarta: Pustaka Pelajar.

Karatabak, M. (2015). A New Classifier for Breast Cancer Detection Based on Naïve Bayes Classifier. 72.

kompas. (2020, April 30). Retrieved Mei 2020, from update virus corona 30 April: http://www.kompas.com

Larose D, T. (2005). Discovering knowledge in data : an introduction to data mining. Jhon Wiley & Sons Inc..

Mohamat Dodi Trisetiyo, Jati Sasongko Wibowo. (2019). Klasifikasi Surat Menggunakan Metode Naive Bayes Pada Sistem Informasi Manajemen Surat.

Nadhira, d. A. (2020, Mei). alodokter. Retrieved Mei 16, 2020, from Beragam Istilah Terkait Virus Corona dan COVID-19: https://www.alodokter.com/beragam-istilah-terkait-virus-corona-dan-covid-19

PDPI. (2020). Pneumonia Covid 19 Diagnosa dan Penatalaksanaan di Indonesia.

Relman, E. (2020, january 28). Business insider Singapore. Retrieved mei 2020, from https://www.businessinsider.sg/deadly-china-wuhan-virusspreading-human-to-human-officials-confirm-2020-

Saban Ozturk, Umut Ozkaya, and Mucahid Barstugan. (2020). Classification of Coronavirus Images using Shrunken Feature.

Santosa, B. (2007). Data Mining Teknik Pemanfaatan Data untuk Keperluan Bisnis. Yogyakarta: Graha Ilmu.

Septyan, A. R. (n.d.). Retrieved Mei 16, 2020, from Virus: https://foresteract.com/virus/

Simon James Fong, Gloria Li, Nilanjan Dey, Rubén González Crespo, & Enrique Herrera-Viedma. (2020). Finding an Accurate Early Forecasting Model from Small Dataset: A Case of 2019-nCoV Novel Coronavirus Outbreak. 6 No.1.

Sugiyona. (2009). Metode Penelitian Pendidikan Pendekatan Kuantitatif, Kualitatif, dan R&D. Bandung: Alfabeta.

Sugiyono. (2010). Metode Penelitian Pendidikan Pendekatan Kuantitatif, kualitatif, dan R&D. Bandung: Alfabeta.

Sulistyo-Basuki. (1991). Pengantar Ilmu Perpustakaan. Jakarta: Gramedia Pustaka Utama.

Tarmizi, H. (2017, April 26). Retrieved Mei 16, 2020, from Pengertian sublime text.: https://hasantarmizi.blogspot.com/2017/04/pengertian-sublime-text.html

Welianto, A. (2020, Februari 1). (kompas.com) Retrieved Mei 16, 2020, from Virus: Sejarah, Ciri-ciri dan Penyebarannya: https://www.kompas.com/skola/read/2020/02/01/120000569/virus-sejarah-ciri-ciri-dan-penyebarannya?page=all

WHO. (2020). Retrieved from www.kompas.com: www.kompas.com

WHO. (2020). Retrieved Mei 16, 2020, from Pertanyaan dan jawaban terkait Coronavirus: https://www.who.int/indonesia/news/novel-coronavirus/qa-for-public

WHO. (2020, february 11). Retrieved mei 16, 2020, from https://www.who.int/dg/speeches/detail/who-director-generals-remarks-at-the-media-briefing-on-2019-ncov-on-11-february2020

Widianto, M. H. (2019, desenber 23). Retrieved agustus 29, 2020, from binus university: https://binus.ac.id/bandung/2019/12/algoritma-naive-bayes/

Yuliana. (2020). Corona Virus Diseases (Covid-19). Wellness and Healthy Magazine, 2, nomor 1.

Yuniar. (2011, Maret 23). Retrieved Mei 16, 2020, from Angkringankode: https://angkringankode.wordpress.com/tag/dataset/




DOI: http://dx.doi.org/10.53567/spirit.v12i2.184

Refbacks

  • There are currently no refbacks.


Copyright (c) 2020 Jurnal SPIRIT



 

Diindeks Oleh:

SPIRIT : Sarana Penunjang Informasi Terkini

Diterbitkan oleh Teknologi Informasi Institut Teknologi dan Bisnis Yadika Pasuruan
Alamat Redaksi: Jl. Bader No.9, Kwangsan, Kalirejo, Kec. Bangil, Pasuruan, Jawa Timur 67153
Telp/Fax: (0343) 742070 , Email : lppm@stmik-yadika.ac.id
Google Maps :  Klik Disini

 Creative Commons License
Karya ini dilisensikan di bawah  Lisensi Internasional Creative Commons Atribusi 4.0 .