Open AccessImplementasi Data Mining Pemilihan Pelanggan Potensial Menggunakan Algoritma K Means
Author(s) -
Randi Rian Putra,
Cendra Wadisman
Publication year - 2018
Publication title -
intecoms
Language(s) - English
Resource type - Journals
ISSN - 2614-1574
DOI - 10.31539/intecoms.v1i1.141
Subject(s) - data mining , computer science , laundry , software , process (computing) , selection (genetic algorithm) , artificial intelligence , engineering , operating system , waste management
This research was conducted to study data mining using K Means algorithm which is implemented in the selection of potential customers in MC Laundry. Data collected through observation and interviews conducted to the owner of the company concerned. Further data is analyzed to determine the data needed in the process of determining potential customers. From experiments conducted using K Means algorithm and using Tanagra Software can provide accurate results in classifying potential customers.
Keywords: Data Mining, K-Means Algorithm, Tanagra Software