PENERAPAN METODE APRIORI DATA MINING UNTUK MENENTUKAN POLA PRODUKSI TERBANYAK PADA PT. COCA-COLA

Abstract

PT. Coca-Cola is a business that is engaged in either carbonated soft drink soft drink (coca-cola, fanta, sprite). Production of carbonated soft drinks adapted to the demands of a society, for it PT.Coca-Cola needs to open a production company that is a lot of soft drinks in the production in order to know in a few months sotf drink which is sold, it is useful to be PT. Coca-Cola can know what production should be provided in accordance with specialization masyarakat.Namun it difficult for workers at PT. Coca-Cola to explore data -previous production data. In this study, the authors implement Data Mining on most production databases on PT.Coca-Cola by applying the Apriori method to determine the production mostly in PT.Coca-Cola. to determine the best-selling Coca-Cola sales in otomatis.Dalam development of this system, there are several stages through which that system analysis, system de sign and system implementation. At the design stage of the system: using visual studio applications. and conceptual system is using MYSQL database. In the implementation of the manufacturing is done in accordance with the system design have made. With the making of this system is expected to help employees in PT.Coca-cola to classify the highest production.