METODE ASSOCIATION RULES DALAM MENGANALISA POLA BELANJA KONSUMEN 212 MART PASAR KUTO UNTUK MEMPREDIKSI STOK BARANG DENGAN ALGORITMA APRIORI

PRATIWI, NOVIA NOER and Tania, Ken Ditha and Jambak, M. Ihsan (2018) METODE ASSOCIATION RULES DALAM MENGANALISA POLA BELANJA KONSUMEN 212 MART PASAR KUTO UNTUK MEMPREDIKSI STOK BARANG DENGAN ALGORITMA APRIORI. Undergraduate thesis, Sriwijaya University.

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Abstract

212 Mart Pasar Kuto is one of the many minimarket 212 Mart brand outlets. 212 Mart itself is a product of Koperasi Syariah 212. 212 Mart Pasar Kuto as a newly opened shop has never conducted a shopping pattern analysis on consumers so that it has not been able to recognize characteristics and know consumer spending behavior or patterns that can affect the stock. Therefore, research will be conducted on 212 Mart Pasar Kuto with data mining methods, namely the Association Rules method using the Apriori Algorithm to help the calculation process so that it can be used as an analysis of frequently purchased products that can affect the stock. The design of this system will be desktop based and use the Waterfall development method.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Data mining, Association rules, Apriori Algorithms, Stock Items, Waterfall.
Subjects: Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA76.9.E94 Computer system performance. Computer Communication Networks. Computer science. Logic design. Operating systems (Computers).
Divisions: Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User: Mrs Sri Astuti
Date Deposited: 03 Oct 2019 01:42
Last Modified: 03 Oct 2019 01:42
URI: http://repository.unsri.ac.id/id/eprint/10068

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