Klasterisasi Pelanggan Tenant Inkubator Bisnis STIKOM Bali Untuk Strategi Manajemen Relasi Dengan Menggunakan Fuzzy C-Means

I. G. Harsemadi, Dedy Panji Agustino, I. Budaya
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引用次数: 1

Abstract

Business Incubator is an institution that assists start-up businesses as their tenants that are still newly established or are growing. The main goal of a business incubator is to explore the most appropriate ways of assistance for tenants, from the process of starting a business, developing a business, and scaling up a business so that tenants can succeed in their business. Based on existing assistance data and the results of interviews with managers of the STIKOM Bali business incubator, one of the challenges for tenants is the ineffectiveness of the marketing process and strategic schemes in terms of maintaining customer loyalty. Ineffective and efficient plans can result in wasted use of resources. The customer relationship management (CRM) strategy can be applied by tenants as the solution, but the basis is that tenants need to know how to find out the right treatment for customers. So a strategy is needed to find out the characteristics of customers. In this case, it is done by using a business intelligence approach through customer clustering using fuzzy c-means. The dataset comes from the transaction of one of the tenants who is engaged in education technology. Based on values of the fuzzy partition coefficient (FCP) for the scenarios from clusters 2 to 10, it was found that 7 is the most optimal number of clusters (customer category) with the highest FCP value = 0.793. The main strategy that can be implemented based on tenant business for CRM is the pricing of subscription and engagement packages to customers regarding the information on both recently released and upcoming learning content.
客户格调是企业经营者斯坦康巴里的商业战略顾问,采用模糊的c -手段
企业孵化器是一种帮助新成立或正在成长的企业作为租户的机构。企业孵化器的主要目标是为租户探索最合适的援助方式,从创业、发展业务到扩大业务,使租户能够在业务上取得成功。根据现有的援助数据和对巴厘岛STIKOM企业孵化器经理的访谈结果,租户面临的挑战之一是在保持客户忠诚度方面的营销过程和战略计划无效。无效和有效的计划会导致资源的浪费。租户可以应用客户关系管理(CRM)策略作为解决方案,但其基础是租户需要知道如何为客户找到正确的处理方法。所以需要一个策略来找出顾客的特点。在这种情况下,它是通过使用模糊c-means的客户聚类使用商业智能方法来完成的。数据集来自其中一个从事教育技术的租户的交易。根据聚类2 ~聚类10场景的模糊划分系数(FCP)值,发现聚类(客户类别)的最优数量为7,FCP值最高= 0.793。基于CRM的租户业务可以实现的主要策略是,根据最近发布的和即将发布的学习内容的信息,对客户的订阅和参与包进行定价。
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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