Visualization of the Spread Covid-19 Spread in East Nusa Tenggara using the K-Means Data Mining Classification Method

Lita Ndoloe, Petrisia Sudarmadji, Christa Bire

2021

Abstract

Covid-19 is a contagious disease, and is characterized by acute respiratory symptoms (SARS-CoV-2). The COVID-19 is easily transmitted from one human to another through coughing or sneezing droplets (droplets). The spread of COVID-19 cases in Indonesia is categorized as quite fast and has a negative impact on all fields. The large area of the State of Indonesia is a problem in tracking the spread rate of Covid-19 in each province. K-Means is a clustering algorithm that is used to group data into several groups by maximizing the similarity of the data in a cluster. The implementation of k-means in a web-based application system aims to facilitate the analysis of the spread of Covid-19 in East Nusa Tenggara Province. With this convenience, not only the system can display information on the spread rate of Covid-19 informatively but also attract readers’ interest through a graphic display that makes it easier for readers to get complete information in one view.

Paper Citation

in Harvard Style

Ndoloe L., Sudarmadji P. and Bire C. (2021). Visualization of the Spread Covid-19 Spread in East Nusa Tenggara using the K-Means Data Mining Classification Method. In Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES, ISBN 978-989-758-615-6, pages 1112-1116. DOI: 10.5220/0010960400003260

in Bibtex Style

@conference{icast-es21,
author={Lita Ndoloe and Petrisia Sudarmadji and Christa Bire},
title={Visualization of the Spread Covid-19 Spread in East Nusa Tenggara using the K-Means Data Mining Classification Method},
booktitle={Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,},
year={2021},
pages={1112-1116},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010960400003260},
isbn={978-989-758-615-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,
TI - Visualization of the Spread Covid-19 Spread in East Nusa Tenggara using the K-Means Data Mining Classification Method
SN - 978-989-758-615-6
AU - Ndoloe L.
AU - Sudarmadji P.
AU - Bire C.
PY - 2021
SP - 1112
EP - 1116
DO - 10.5220/0010960400003260