ANALISIS PENGARUH KECEPATAN MOBILITAS USER TERHADAP QOS DIWLAN MENGGUNAKAN OPNET MODELER

Abstract

Clustering is a technique used to analyze data either in machine learning, data mining, pattern recognition,
image analysis and bioinformatics. So as to produce useful information need for an analysis of data using
clustering process because data has a lot of variety and quantity. In this case the researchers will use the KMeans
method in which these methods into an efficient and effective algorithms to process data with the variety
and number of lots. K-means algorithm has a problem in determining the best number of clusters. So in this
paper the researchers will conduct research to search for the best number of clusters in K-means method. There
are many ways to determine this, one of them with methods Elebow. The determination of these methods seen
from the graph SSE (Sum Square Error) of some number of clusters. Results from this study will be the basis for
determining the number clusters in the process clustering with K-Means method in a case study, and this case
study will be conducted at the institute STAHN (Sekolah Tinggi Agama Hindu Negeri) Tampung Penyang
Palangkaraya.
Keywords: clustering, k-means, method elbow, SSE (Sum Square Error)