Clustering of Customer Complaints from PDAM Kota Binjai Using the K-Means Method
DOI:
https://doi.org/10.55227/ijhet.v1i3.65Keywords:
Data_Mining, K-Means Clustering, Customer Complaints.Abstract
PDAM Tirtasari Binjai City is a public service institution that has a monopoly on water supply in Binjai City. The predicate as a metropolitan city, illustrates that Binjai City is a city with dense industry and trade. In this study, discusses how to handle customer complaints of PDAM Binjai City to provide satisfaction to customers. The research method used in this study is K-Means which aims to describe the quality of service for handling customer complaints at PDAM Kota Binjai in increasing customer satisfaction. The informant determination technique carried out by the researcher is using the Clustering K-Means method.
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References
Diky Randyka Kurniawan, Budi Susetyo, Erwin Hermawan 2019. Spatial Analysis of K-Means Clustering Distribution of Customer Complaints of PDAM Tirta Pakuan Bogor City Based on WeBgis.
Kotler, 2005. Customer Complaints Against Dissatisfaction with a Good or Service.
P Prasetyo Eko, 2014. Data Mining Processing Data into Information Using Matlab, Andi Offset Publisher, Yogyakarta.
Widodo ,2013. "Clustering or classification is a method used to divide a data series into several groups based on predetermined similarities.
Wu and Kumar, Eko Prasetyo, 2014 “K-Means algorithm is an iterative clustering algorithm that partitions data sets into a number of K clusters that have been set at the beginning.
