Implementation of Data Mining to Determine Payment Delays for Mall Shopping Center Tenants Using K-Means Clustering Method

Ary Suryo Bimantoro
Rafi Athallah
Naufal Ifsan Al-Azhar
Nilo Legowo

Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences
Vol 5, No 3 (2022): Budapest International Research and Critics Institute August

With the rapid growth of their business, XYZ Company wanted to utilize their data to the upmost maximum. One of the methods to make the most out of their data is to do data mining. With the available data and RapidMiner as processing tool, researcher can build a clustering model to determine the accuracy of payment for their clients. It was discovered that the dataset can be divided into 3 clusters, namely on time, late, and very late. From the cluster discovered, a suggestion can be made on how to handle the payment for each group, so that there will be no more late payment in the future by applying a penalty for the tenants that are late paying their bills.