Pengelompokan Dengan Algoritma K-Means Berbasis Sistem Informasi Geografis Untuk Mengetahui Potensi Virus Covid-19 Di Kabupaten Dompu
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Institusion
STMIK Bumi Gora
Author
Prayatna, Lalu Sofiyandi
Subject
T Technology (General)
Datestamp
2021-09-01 02:26:10
Abstract :
Data mining is the process of looking for interesting patterns or information in selected data using certain techniques or methods. Meanwhile, K-Means is a simple yahoo clustering which is unsupervised. Corona virus is zoonotic (transmitted between animals and humans). Research says that SARS was transmitted from civet cats to humans and MERS from camels to humans. The animal that is the source of the transmission of COVID-19 is still unknown. In line withthe spread of this virus, the President issued Presidential Decree No. 11 of 2020 concerning the determination of public health emergencies for the 2019 corona virus disease (Covid-19). With that, problems arise such as there are activities that do not comply with the COVID protocol, independent ones who have not obeyed, implementation of the community for contact tracing. Along with the development of information systems, the creation of a web-based system is one solution for the development of zones per sub-district in Dompu Regency related to the covid-19 virus. The design and manufacture of this system uses the Waterfall methodology, which is a software development method that begins with Requirements analysis, system design, implementation, integration and testing. The results of this study are the K-Means method can be used for grouping the potential spread of covid-19 in Dompu Regency with 2 clusters including cluster 1 in the orange zone group of 3 districts, and cluster 2 in the red zone 5 districts in the form of a web-based application. Based on the final usability results obtained by 92%, it can be said that the application of the K-Means method in grouping the spread of the Covid-19 outbreak in Dompu Regency is very good.
Data mining is the process of looking for interesting patterns or information in selected data using certain techniques or methods. Meanwhile, K-Means is a simple yahoo clustering which is unsupervised. Corona virus is zoonotic (transmitted between animals and humans). Research says that SARS was transmitted from civet cats to humans and MERS from camels to humans. The animal that is the source of the transmission of COVID-19 is still unknown. In line withthe spread of this virus, the President issued Presidential Decree No. 11 of 2020 concerning the determination of public health emergencies for the 2019 corona virus disease (Covid-19). With that, problems arise such as there are activities that do not comply with the COVID protocol, independent ones who have not obeyed, implementation of the community for contact tracing. Along with the development of information systems, the creation of a web-based system is one solution for the development of zones per sub-district in Dompu Regency related to the covid-19 virus. The design and manufacture of this system uses the Waterfall methodology, which is a software development method that begins with Requirements analysis, system design, implementation, integration and testing. The results of this study are the K-Means method can be used for grouping the potential spread of covid-19 in Dompu Regency with 2 clusters including cluster 1 in the orange zone group of 3 districts, and cluster 2 in the red zone 5 districts in the form of a web-based application. Based on the final usability results obtained by 92%, it can be said that the application of the K-Means method in grouping the spread of the Covid-19 outbreak in Dompu Regency is very good.
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