| dc.description.abstract |
Coronavirus Disease or COVID-19 is still a concern around the world. COVID-19 is a new disease caused by a new strain of coronavirus, Severe Acute Respiratory Syndrome-Coronavirus 2 (SARS-CoV2). To control the spread of COVID-19, an effort is needed, namely vaccination. Vaccination is the administration of vaccines in order to cause or increase a person's immunity actively against a disease. Meanwhile, in recording vaccination achievements, the North Labuhanbatu district government takes vaccination data from health facilities that carry out the vaccination program. The vaccination data is then compiled to be submitted to the North Sumatra provincial government to be processed into information and released to the public. The absence of classification of vaccination achievement data at the sub-district level is considered less than optimal because each sub-district is difficult to determine whether the sub-district meets the vaccination target achievement or not. Therefore, an algorithm called K-Means Clustering is used. K-Means Clustering is used to group data based on the similarity of the data so that later it can be used to classify data on achievement of vaccination targets in each sub-district in North Labuhanbatu district. The results of the classification of the data on the achievement of the vaccination target are visualized in the form of a mapping. The mapping is realized through a web-based Geographic Information System (GIS). The Geographic Information System for Mapping the Achievement of COVID-19 Vaccination Targets in North Labuhanbatu Regency based on Webgis is able to classify data on the achievement of COVID-19 vaccination targets in Labuhanbatu Utara Regency using the K-Means Clustering algorithm where based on the results of the K-Means iteration calculation, five of the eight sub-districts in North Labuhanbatu Regency North Labuhanbatu district has met the achievement of the vaccination target.
Key Word: covid-19, vaccination, k-means, GIS, webgis | en_US |
