IMPLEMENTASI DATA MINING DENGAN ALGORITMA FUZZY C-MEANS STUDI KASUS PENJUALAN DI UD SUBUR BARU

WIJAYA, ALVIAN KUSUMA (2014) IMPLEMENTASI DATA MINING DENGAN ALGORITMA FUZZY C-MEANS STUDI KASUS PENJUALAN DI UD SUBUR BARU. Skripsi, Fakultas Ilmu Komputer.

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Abstract

This study discusses how to build systems that implement data mining techniques on one retail company in Kudus, which is a UD Subur Baru. This company has a lot of sales transaction data stored in the form of a pile of books. In its design, the system will use the method of fuzzy c-means clustering. To do the clustering, preprocessing raw data to obtain the values of invoice and amount of products sold of each item. Then from the results subdivided based on monthly periods. After that is done clustering with fuzzy c-means algorithm. The number of clusters used is 3. For cluster validity measurement process using the Modified Partition Coefficient (MPC). The process of extracting this data using tools that created using the Java programming language. The purpose of this system is made so the UD Subur Baru can easily identify the products with the best look at the results of the data grouping formed. The results of this study is from January to March 2013 have the same one potential products are products with code 181. From January to March 2014 also has the same one potential products that products with code 345. For value from others cluster is variant. Then there are the results of testing the validity of the cluster is the cluster number 2 has the best value of the average period being processed.

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