Penerapan Algoritma K-Means Dalam Aplikasi Business Intelligence Untuk Segmentasi Pelanggan

Abstract

Business Intelligence (BI) is a concept and technology used to collect, analyze, manage and present business information that can be used by organizations to support better decision making. In implementing Business Intelligence, it can also be compared with data mining algorithms such as grouping using K-Means. In this research, K-Means is used to segment customers so that companies can find out what their customers need. This research describes the application of the K-Means algorithm in the context of Business Intelligence applications for the purpose of customer segmentation and dashboard creation. Creating interactive dashboards is often independent of the algorithm used so that the dashboard becomes passive or can only display data visualizations. The research stages used were data collection carried out via the internet, then data preprocessing was carried out with several stages in it, namely extract, transform and load, as well as data cleaning to clean the data after the data preprocessing was carried out, clustering was carried out using the K-Means algorithm, after clustering was carried out, namely creating a dashboard. The results of this research are in the form of a dashboard using Power BI.