TY - JOUR
T1 - COVID-19 Cases and Deaths in Southeast Asia Clustering using K-Means Algorithm
AU - Hutagalung, Juniar
AU - Ginantra, Ni Luh Wiwik Sri Rahayu
AU - Bhawika, Gita Widi
AU - Parwita, Wayan Gede Suka
AU - Wanto, Anjar
AU - Panjaitan, Pawer Darasa
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2021/2/12
Y1 - 2021/2/12
N2 - Covid-19 is an infectious illness caused by a newly identified form of coronavirus. This is a new virus and illness that was previously unknown before the December 2019 outbreak in Wuhan, China. The number of confirmed cases of Covid-19 and the number of deaths due to this virus in Southeast Asia are increasing and quite alarming. Therefore this study will discuss the grouping of Cases and Deaths of COVID-19 in Southeast Asia. The method used is the K-Means Clustering Data Mining. By using this method the data that has been obtained can be grouped into several clusters, where K-Means Clustering Process is applied using RapidMiner tools. Data used are Country statistics, Area of recorded laboratory-confirmed cases of COVID-19, and April 2020 deaths from WHO (World Health Organization). Data is divided into 3 clusters: high (C1), medium (C2) and low (C3). The results obtained are that there are four countries with a high level cluster (C1), one country with a moderate level cluster (C2), and 6 countries with a low level cluster (C3). This can be an input for each country to increase awareness of the transmission of Covid-19.
AB - Covid-19 is an infectious illness caused by a newly identified form of coronavirus. This is a new virus and illness that was previously unknown before the December 2019 outbreak in Wuhan, China. The number of confirmed cases of Covid-19 and the number of deaths due to this virus in Southeast Asia are increasing and quite alarming. Therefore this study will discuss the grouping of Cases and Deaths of COVID-19 in Southeast Asia. The method used is the K-Means Clustering Data Mining. By using this method the data that has been obtained can be grouped into several clusters, where K-Means Clustering Process is applied using RapidMiner tools. Data used are Country statistics, Area of recorded laboratory-confirmed cases of COVID-19, and April 2020 deaths from WHO (World Health Organization). Data is divided into 3 clusters: high (C1), medium (C2) and low (C3). The results obtained are that there are four countries with a high level cluster (C1), one country with a moderate level cluster (C2), and 6 countries with a low level cluster (C3). This can be an input for each country to increase awareness of the transmission of Covid-19.
UR - http://www.scopus.com/inward/record.url?scp=85102370094&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1783/1/012027
DO - 10.1088/1742-6596/1783/1/012027
M3 - Conference article
AN - SCOPUS:85102370094
SN - 1742-6588
VL - 1783
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012027
T2 - 2020 Annual Conference on Science and Technology Research, ACOSTER 2020
Y2 - 20 June 2020 through 21 June 2020
ER -