PENERAPAN DATA MINING ASSOCIATION RULE DENGAN ALGORITMA APRIORI UNTUK MEREKOMENDASIKAN PAKET MAKANAN PADA RESTORAN KFC MERDEKA PALEMBANG

NURHIDAYATI, YOSSI and Ermatita, Ermatita and Bardadi, Ali (2018) PENERAPAN DATA MINING ASSOCIATION RULE DENGAN ALGORITMA APRIORI UNTUK MEREKOMENDASIKAN PAKET MAKANAN PADA RESTORAN KFC MERDEKA PALEMBANG. Undergraduate thesis, Sriwijaya University.

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Abstract

KFC Merdeka Palembang is one of the fast food restaurant under the auspices of PT Fast Food Indonesia Tbk. There was many of sales activities conducted every day, sales transaction datas was growing and got impact more data storages. Sales transaction datas was not used for the best benefit and only made archive by the party conference. The implementation of the apriori algorithm was expect to be able to find the pattern candidate what products that are often purchased by costumers. To find the pattern candidate products that are often purchased at the same time, the conference was expect to be able to make a recommendation of food packages that can help customers to determine choicse when ordering food. The process of data mining is used by the method of Association Rule Mining by using apriori algorithm. The results achieved in the form of the recommendations of the candidate products was often purchased simultaneously .

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Data mining , Association Rule , apriori algorithm , the recommendations of the food package , KFC.
Subjects: T Technology > T Technology (General) > T58.5-58.64 Information technology
Divisions: Faculty of Computer Science > 57201-Information Systems (S1)
Depositing User: Mrs Sri Astuti
Date Deposited: 10 Sep 2019 07:49
Last Modified: 10 Sep 2019 07:49
URI: http://repository.unsri.ac.id/id/eprint/6942

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