INCREASING CUSTOMER LOYALTY USING ALGORITHM METHODS K-MEANS
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Abstract
Advances in technology allow humans to more quickly and precisely in carrying out various activities in everyday life. Along with the rapid progress technology, companies are required to continue to improve their ability to process more accurate information in order to meet their needs, desires, and levels of satisfaction so that customers remain loyal to using the company's products. The purpose of this research in general is to apply Web-based Customer Relationship Management with the K-means algorithm method on marketing/transactions at Nasution Family Doorsmeer. This research is a combined type of research, using descriptive and quantitative qualitative methods. From the research results, it is known that the existence of Web-based Customer Relationship Management can facilitate and assist in managing a good marketing strategy so as to increase sales revenue, and by providing the best service will encourage customer loyalty. and make it easier to determine loyal customers with the K-means algorithm. in order to continue to provide convenience to customers. 1. By implementing Customer Relationship Management with K-Means, you can build customer clustering to classify customers who use services so that service providers can identify the characteristics of their customers
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