SKANIKA: Sistem Komputer dan Teknik Informatika
Vol 6 No 2 (2023): Jurnal SKANIKA Juli 2023

PREDIKSI PENJUALAN PRODUK PADA SISTEM PENJUALAN POINT OF SALE (POS) DENGAN MENERAPKAN ALGORITMA APRIORI

Hidayat, Taufik (Unknown)
Handayani, Yuni (Unknown)
Mufti, Muhammad Zainul (Unknown)



Article Info

Publish Date
26 Jul 2023

Abstract

The sales transaction data process at Indomaret is good, there is a sales application available that can help in managing sales transactions, but the application used does not support the mobility of management in providing recommendations to buyers to buy more products which will later increase business revenue, even though this data It is very important that it can be accessed online without having to go to an Indomaret outlet or office. The data in the form of analysis of sales data is processed into information used for decision making in order to increase product sales and product innovation. Based on these problems, a sales analysis application program was created using the Apriori Method, and the end result is that an application system is functionally able to generate information to place products or items that consumers are likely to buy simultaneously so as to increase sales as expected so as to be able to increase sales and make it easy for management to make decisions

Copyrights © 2023






Journal Info

Abbrev

SKANIKA

Publisher

Subject

Computer Science & IT Control & Systems Engineering Engineering

Description

SKANIKA: Sistem Komputer dan Teknik Informatika adalah media publikasi online hasil penelitian yang diterbitkan oleh Program Studi Sistem komputer dan Teknik Informatika, Fakultas Teknologi Informasi, Universitas Budi Luhur. Scope atau Topik Jurnal: Kriptografi, Steganografi, Sistem Pakar / ...