Implementation of Data Mining Grouping Product Order Distribution Center In PT. Indomarco Prismatama Medan Branch

Nico Setiawan (STMIK Pelita Nusantara)
Paska Marto Hasugian (Lecturer Teknik Informatika, STMIK Pelita Nusantara, Medan)

Journal of Computer Networks, Architecture and High Performance Computing
Vol. 2 No. 1 (2020): Computer Networks, Architecture and High Performance Computing

Data mining is the technique of extracting previously unknown information in a set of data in the database. Data mining has been applied in various fields which require extracting information. One of them in groupings of data. Grouping is used to divide a set of data into several sections that are useful to more easily identify a class of data. Distribution companies can use groupings of one to determine the intensity of the volume of goods ordered. The study analyzes the application of data mining algorithms k-meansclustering to elicit information from the data ordering goods contained in centerPT distribution. Indomarco Prismatama Medan branch. That is by using a number of items and the total amount of the quantity of each item ordered.