Penerapan Data Mining Analisis Pola Penjualan Barang Menggunakan Metode Apriori (Studi Kasus : Kaffah Mart)

 (*)Bella Sariani Mail (STMIK Kaputama, Binjai, Indonesia)
 Yusfrizal Yusfrizal (STMIK Kaputama, Binjai, Indonesia)
 Rusmin Saragih (STMIK Kaputama, Binjai, Indonesia)
 Juliana Naftali Sitompul (STMIK Kaputama, Binjai, Indonesia)

(*) Corresponding Author

Abstract

Kaffah Mart is a market located on Jalan Jamin Ginting, Rambung Dalam, Kota Binjai. Kaffah Mart sells a lot of daily necessities such as food, drinks, and goods such as basic necessities and office stationery. The development of competition in the trading business and Information Technology is an interrelated thing in market competition, the Apriori method is one way to help the Market make it easier to find out the highest percentage of sales, in anticipating this, by applying the method into the system of goods sales patterns at Kaffah Mart to help, manage, analyze sales data with the aim of getting the maximum and efficient percentage of sales, using Apriori to process data so that it can be used as information.

Keywords


Apriori, Data Mining, Sales, Weka, PHP



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References

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Copyright (c) 2022 Bella Sariani, Yusfrizal Yusfrizal, Rusmin Saragih

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