CLUSTERING MENGGUNAKAN METODE K-MEANS DENGAN BANTUAN METODE ELBOW
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Abstract
There are many factors that influence a person's ability to maintain their health, ranging from maintaining a healthy diet to engaging in regular exercise. However, it is not only internal factors that affect a person's health; there are also several external factors, such as air pollution. The chemical compounds that cause air pollution include SO2, CO, O3, and others. This study was conducted using the K-means method as a clustering algorithm with data on air pollution indices in the DKI Jakarta area in 2020. The results show that the elbow method can be used to determine the number of clusters to be studied, in addition to using the silhouette coefficient value or a combination of both. PM10 and CO in 3D visualization are determining factors and have an influence; if both numbers increase, it is certain that other pollutants will also increase.
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