Penerapan Clustering K-Means untuk Menentukan Pengaruh Media Sosial Facebook terhadap Usaha Mikro, Kecil dan Menengah (UMKM) di Kecamatan Pekanbaru Kota

In Indonesia, especially in the Pekanbaru City area there are many micro, small and medium-sized businesses (umkm). Along with the times and increasingly sophisticated technology requires the actors to work harder and innovate to be able to increase revenue. The technique of utilizing data into new information is also referred to as data mining. One of the most popular data mining methods is clustering using the K-Means algorithm. K-Means can process data without being notified in advance of its class label. This research will produce two groups of Facebook social media users influential, and very influential. The results of data processing are getting closer to zero, then the similarity of cluster data member will be better.