Clustering Pada Pelanggan Perusahaan Air Bersih Dengan Algoritma K-Means

Arif Ramadhan Siregar, Sundari Retno Andani, Widodo Saputra
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引用次数: 1

Abstract

progress, and increasing living standards have caused the need for clean Clean water services are a very important component of public services. Water is a basic need that cannot be separated from human life. The supply of clean water is of particular concern to every country in the world, including in Indonesia. Population growth, development water to continue to increase. Technological improvements and rapid population growth are now encouraging mineral water companies to continue to innovate and expand their market network in order to continue to survive and compete with companies - companies. A product that can be desired by consumers must be able to provide satisfaction to consumers who consume these products. In realizing the goals to achieve customer satisfaction, companies must be able to learn in advance about products that consumers are interested in, habits carried out by consumers, why consumers are interested in consuming these items, and how many products are needed by consumers. The author wants clean water customers which will be clustered using the K-means algorithm to do which provinces will get customers of clean water companies.
社会的进步和生活水平的提高引起了对清洁的需要。清洁水服务是公共服务的一个非常重要的组成部分。水是人的基本需要,离不开人的生活。清洁水的供应是包括印度尼西亚在内的世界上每一个国家特别关心的问题。人口增长,开发用水不断增加。技术进步和人口的快速增长正在鼓励矿泉水公司继续创新和扩大他们的市场网络,以便继续生存并与公司竞争。消费者想要的产品必须能够给消费这些产品的消费者带来满意。为了实现顾客满意的目标,企业必须能够提前了解消费者感兴趣的产品,消费者的习惯,消费者为什么对消费这些产品感兴趣,消费者需要多少产品。作者希望使用K-means算法将清洁水客户聚集在一起,以确定哪些省份将获得清洁水公司的客户。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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