Penerapan Data Mining Analisis Pola Penjualan Barang Menggunakan Metode Apriori (Studi Kasus : Kaffah Mart)
Keywords:
Apriori, Data Mining, Sales, Weka, PHPAbstract
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.References
N. Agustiani, S. Solikhun, D. Suhendro, P. Poningsih, and W. Saputra, “Penerapan Data Mining Metode Apriori Dalam Implementasi Penjualan Di Alfamar,†in Prosiding Seminar Nasional Riset Information Science (SENARIS), 2020, vol. 2, pp. 300–304.
E. Buulolo, Data Mining Untuk Perguruan Tinggi. Deepublish, 2020.
S. Al Syahdan and A. Sindar, “Data mining penjualan produk dengan metode apriori pada Indomaret Galang Kota,†J. Nas. Komputasi Dan Teknol. Inf., vol. 1, no. 2, 2018.
S. Adinugroho and Y. A. Sari, Implementasi data mining menggunakan WEKA. Universitas Brawijaya Press, 2018.
E. Prasetyowati, DATA MINING Pengelompokan Data untuk Informasi dan Evaluasi, vol. 29. Duta Media Publishing, 2017.
E. D. Sikumbang, “Penerapan data mining penjualan sepatu menggunakan metode algoritma apriori,†J. Tek. Komput., vol. 4, no. 1, pp. 156–161, 2018.
R. R. Aria and S. Susilowati, “Analisa Data Penjualan SaRa Collection menggunakan metode Apriori,†J. Tek. Komput. AMIK BSI, vol. 7, no. 1, pp. 68–73, 2021.
A. H. Nst, I. R. Munthe, and A. P. Juledi, “Implementasi Data Mining Algoritma Apriori untuk Meningkatkan Penjualan,†J. Tek. Inform. Unika St. Thomas (JTIUST, vol. 6, no. 1, pp. 188–197, 2021.
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).