Rancang Bangun Aplikasi Customer Loyalty Dengan Penerapan IDIC Model dan Metode K-Means Clustering Pada Usaha Refleksi (Studi Kasus: Star Pusat Refleksi Keluarga)
Abstract
A company has a way to make customers use their services and have the opportunity to use the services offered. Star center family reflection is a company engaged in services such as body treatments, facials, and spa. So that the company can achieve this, one method used is to approach the three perspectives of CRM, IDIC Model, and the application of the method of K-Means Clustering. Three perspectives CRM approach chosen because it has a strategy to improve customer satisfaction. IDIC model is a model that shows that the company should take four measures Identify, Diffentation, Interact, Customized to maintain and sustain long-term relationships with customers. And K-Means Clustering Method used for customer segmentation. K-Means Clustering Method mengola customer transaction data stored. Results from three perspectives CRM application and IDIC Model is make it easier to build applications understand the customer so that the customer desires. While the results of applying the method of K-Means Clustering is grouping customers by category. existing category 3 which consists of platinum, gold, and silver. Based on tests performed by using Usability Testing applied to the customer Star, obtained a percentage of 84% with Star judging the meaning customers could not agree to the application of customer loyalty Star and testing Black Box Testing showed 100% by testing as many as 33 items.Published
Issue
Section
License
Copyright info for authors
1. Authors hold the copyright in any process, procedure, or article described in the work and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2. Authors retain publishing rights to re-use all or portion of the work in different work but can not granting third-party requests for reprinting and republishing the work.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) as it can lead to productive exchanges, as well as earlier and greater citation of published work.