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All Journal Techno.Com: Jurnal Teknologi Informasi CommIT (Communication & Information Technology) Seruni - Seminar Riset Unggulan Nasional Inoformatika dan Komputer Speed - Sentra Penelitian Engineering dan Edukasi Scientific Journal of Informatics Jurnal Komtika (Komputasi dan Informatika) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) IJIIS: International Journal of Informatics and Information Systems Community Empowerment Journal of Applied Data Sciences Jurnal Litbang Provinsi Jawa Tengah KLIK: Kajian Ilmiah Informatika dan Komputer Borobudur Informatics Review Prosiding Seminar Nasional Hasil-hasil Penelitian dan Pengabdian Pada Masyarakat Bangun Desa : Jurnal Pengabdian Masyarakat
Nugroho Agung Prabowo
Universitas Muhammadiyah Magelang, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Immunology & microbiology Mathematics Nursing Public Health Social Sciences Other

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Journal : Journal of Applied Data Sciences

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Data Mining Predicts the Need for Immunization Vaccines Using the Naive Bayes Method Widyanto, R Arri; Avizenna, Meidar Hadi; Prabowo, Nugroho Agung; Alfata, Kemal; Ismanto, Agus
Journal of Applied Data Sciences Vol 2, No 3: SEPTEMBER 2021
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v2i3.39

Abstract

In December 2019, SARS-CoV-2 caused the coronavirus disease (COVID-19) to spread to all countries, infecting thousands of people and causing death. COVID-19 causes mild illness in most cases, although it can make some people seriously ill. Therefore, vaccines are in various phases of clinical progress, and some of them have been approved for national use. The current state of affairs reveals that there is a critical need for a quick and timely solution to the need for a Covid-19 vaccine. Non-clinical methods such as data mining and machine learning techniques can help to do this. This study will focus on US COVID-19 Vaccination Advances using Machine learning classification algorithms and Using Geospatial analysis to visualize the results. The paper's findings indicate which algorithm is better for a given data set. Naive Bayes algorithm is used to run tests on real world data, and is used to analyze and draw conclusions. Period of Accuracy and performance, and it was found that Naive Bayes is very superior in terms of time and accuracy.
Co-Authors A.A. Ketut Agung Cahyawan W Adhania, Isna Rahma Adiyoko, Dian Agus Ismanto Ahmad Faisal Ahmareza, Dimas Alfata, Kemal Alfian, Farhan Afif Alif Kemal Verdito Andi Widiyanto Andi Widiyanto Andi Widiyanto Anwar, Ahmad Misbakhul Arsyad Soni Nuruzzaman Bambang Pujiarto Bambang Pujiarto Bambang Pujiarto Chanifatul Azizah Denny Alfandy Dimas Sasongko Dio Laksmana Sakti Emilya Ully Artha Endah Ratna Arumi Eny Zuhriyah Firmantya Safri Wijaya Fitri Wiyani Hamdanuddinsyah, Muhammad Hafiz Hanugrah Probo Hasmoro Irfan Reza Pratama Kamal, Muhammad Jamaludin Kanthi Pamungkas Sari Lutfiana Gita Meidar Hadi Avizenna Meliarta, Freni Setiyana Mochammad Ircham Nashif Amarullah Muhajalin, Ghuron Muhammad Jidan Narizki Mukhtar Hanafi Mukhtar Hanafi Nino Suryo Nugroho Nur Hidayah Nur Rachman Dzakiyullah Nuryanto Nuryanto Nuryanto Oesman Raliby Oesman Raliby Pawening, Tri Sekar Purnomo, Tuessi Ari Purwono Hendradi R Arri Widyanto Rahmawati, Zulia Rochiyati Murniningsih, Rochiyati Rusdjijati, Retno Syaiful Nurudin Wettria Anggraini Widaryanto, Rochim Yoga Kustanto Yuni Jatmiko