Implementasi Metode Naive Bayes Pada Media Facebook Untuk Analisis Indikasi Pengidap Virus COVID-19 Varian Omicron di Indonesia dengan Menggunakan Aplikasi Sistem Pakar Berbasis Web

Redo Ramadhan Caniago; Jaka Sutresna

Authors

Redo Ramadhan Caniago Universitas Pamulang
Jaka Sutresna Universitas Pamulang

Keywords:

Covid-19, Omicron, Naïve Bayes Method

Abstract

The Covid-19 virus is a fairly dangerous disease due to various triggering factors and symptoms that appear including runny nose, fever, cough, sore throat and others. The public also ignores the symptoms that occur and does not check with the doctor because they think the disease is a disgrace so that many people with Covid-19 are in a worse condition and cause death. Researchers also have an idea to implement an Expert System Application using the Web-Based Naïve Bayes Method on Facebook Media for the Analysis of Indications of the Omicron variant of the Covid-19 Virus in Indonesia with the aim of making it easier for people to diagnose diseases and recognize the symptoms of covid-19. This expert system uses the nave Bayes method which is a method for predicting the chance of the occurrence of covid-19 disease based on a weight that has been determined by an expert. This study uses the waterfall model as a guide for designing an expert system and to facilitate program development on an expert system. The results of this study obtained an expert system for analyzing indications of covid-19 disease with a web-based nave Bayes method that makes it easy for lay people and experts to make it easier to get treatment for early actions when diagnosed with the omicron variant of covid-19 It was concluded that there was a relationship between the level of ignorance and the frequency with which facilities to support facilities and understanding of covid-19 existed, so with the application of the expert system that was made, hopefully it can help the community to simplify and understand about covid-19.

References

Abdurahman, Hasan., Riswaya, Ririh Asep. (2014).Aplikasi Pinjaman Pembayaran Secara Kredit Pada Bank Yudha Bhakti. Jurnal Computech & Bisnis, Vol. 8, No. 2, Desember 2014, 61-69, ISSN 2442-4943.

Alvionnita, Nova, Ade., Firmansyah, Udi, Ada., Maharani, Dewi. (2021). Implementasi Customer Relationship Management Untuk Peningkatan Kualitas Pelayanan Pada Klinik Dinda Berbasis Web. JUTSI (Jurnal Teknologi dan Sistem Informasi), Vol. 1 No. 1, Feb 2021, hlm. 71 – 78. ISSN 2774-9029.

Andriansyah, Fariedh, Miftah., Yusup, Dadang., Voutama, Apriade. (2021). Sistem Pakar Deteksi Dini Covid-19 Menggunakan Metode Naïve Bayes Berbasis Website. Journal of Information Technology and Computer Science (INTECOMS), Volume 4 Nomor 2, Desember 2021, eISSN : 2614-1574.

Basten, Ipan., Ardhiansyah, Maulana. (2022). Perancangan Sistem Informasi Desa Berbasis Web Menggunakan Model Waterfall (Studi Kasus Desa Banjarsari Kabupaten Lebak). Scientia Sacra: Jurnal Sains, Teknologi dan Masyarakat, Vol. 2, No. 1, Maret 2022, e-ISSN 2808-0033.

Handoko, Ridho, Muhammad., Neneng. (2021). Sistem Pakar Diagnosa Penyakit Selama Kehamilan Menggunakan Metode Naive Bayes Berbasis Web. Jurnal Teknologi dan Sistem Informasi (JTSI), Vol. 2, No. 1, Maret 2021, 50 – 58, E-ISSN: 2746-3699.

Juliansyah., Wijaya Khana., Muchlis. (2021). Rancang Bangun E-Learning System Pada SMK Pratiwi Prabumulih Menggunakan PHP& MySQL. Jurnal Pengembangan Sistem Informasi dan Informatika, Vol. 2, No. 4, October 2021, e-ISSN: 2746-1335.

Nugroho, Aditiyanto, Fareza., Solikin, Fajar, Arif., Anggraini, Dwi, Mutiara., Kusrini. (2021). Sistem Pakar Diagnosa Virus Corona Dengan Metode Naïve Bayes. Jurnal TIKomSiN, Vol. 9, No. 1, April 2021, e-ISSN 2620-7532.

Oktaviani, Lulud., Ayu, Mutiara. (2021). Pengembangan Sistem Informasi Sekolah Berbasis Web Dua Bahasa SMA Muhammadiyah Gading Rejo. Jurnal Pengabdian Pada Masyarakat. Vol.6, No. 2, 2021, E-ISSN 2540-8747.

Rijali, Ahmad. (2018). Analisis Data Kualitatif. Jurnal Alhadharah, Vol 17, No 33 (2018). P-ISSN: 1412-9515.

Rosadi, Dadi., Lousiani, Ussi. (2012). Aplikasi Pembuatan Laporan Keuangan Berbasis Web. Jurnal Computech & Bisnis, Vol. 6, No. 2, Desember 2012, 96-100, ISSN 2442-4943.

Sidh, Rahmahwati. Peranan Brainware Dalam Sistem Informasi Manajemen. Jurnal Computech & Bisnis, Vol. 7, No. 1, Juni 2013, 19-29, ISSN 2442-4943.

Susilawati, Evi., Khaira, Imamul., Afrida, Wiwik. (2022). Edukasi Kesadaran Siswa Terhadap Pencegahan Penyebaran Varian Omicron Dalam Pembelajaran Tatap Muka Terbatas. Jurnal Pengabdian Masyarakat (JUKESHUM), Volume 02, Nomor 01 Januari 2022, e-ISSN : 2774-4698.

Wahyuni, Juli., Paranthy, Widya, Yuri., Wanto, Anjar. (2021). Analisis Jaringan Saraf Dalam Estimasi Tingkat Pengangguran Terbuka Penduduk Sumatera Utara. Jurnal Infomedia, Vol. 3 No. 1 Juni 2018. E-ISSN: 2548-1180

Watratan, Felicia, Alvina., B, Puspita, Arwini., Moeis, Dikwan. (2020). Implementasi Algoritma Naïve Bayes Untuk Memprediksi Tingkat Penyebaran Covid-19 Di Indonesia. Journal Of Appliedcom Puter Science And Technology (JACOST), Vol. 1No. 1(2020)7-14.

Wibisono, Aria., Rizkiono, Dadi, Sampurna., Wantoro, Agus. (2020). Filtering Spam Email Menggunakan Metode Naïve Bayes. Journal of Telematics and Information Technology, Vol.1,No.1,2020,9-17.

Widyanto, Arri R., Avizenna, Hadi, Meidar., Prabowo, Agung, Nugroho., Alfata, Kemal., Ismanto, Agus. (2021). Data Mining Predicts the Need for Immunization Vaccines Using the Naive Bayes Method. Journal of Applied Data Sciences, Vol. 2, No.3, September 2021, pp. 93-101, ISSN 2723-6471.

Y, P, Bayu, Komang., Asrori, Muhamad., R, P, Raka, Muhammad., Ulhaq, Wafiy, Muhammad., Wahyudi, Pirman., Santana, Ardan, Rendi., Fitriyah, Sisca., Priantoro, Trisna., Nurali, Musfiroh, Umul., M, Zamahsyari, Zamzam., Waluyo, Giri, Iwan. (2021). Pengabdian Kepada Masyarakat Sosialisasi Dasar Pemograman Php, Java Dan Html. Jurnal Kreativitas Mahasiswa Informatika, Volume 2 Nomor 3 Tahun 2021 Page 391 - 393 p-ISSN: 2797-6327.

Yunas, Al, Dzahabi, Rio., Triayudi, Agung., Sholihati, Diana, Ira. (2021). Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), 5 (3). E-ISSN: 2580-1643

Zaliluddin, Dadan., Rohmat. (2018). Perancangan Sistem Informasi Penjualan Berbasis Web (Studi Kasus Pada Newbiestore). INFOTECH journal, Volume 4 Nomor 1 Tahun 2018. ISSN : 2460-1861.