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All Journal Jurnal Informatika dan Teknik Elektro Terapan Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi SKANIKA: Sistem Komputer dan Teknik Informatika Jutsi: Jurnal Teknologi dan Sistem Informasi Jurnal Pengabdian kepada Masyarakat Indonesia (JPKMI) Jurnal Teknik Informatika dan Desain Komunikasi Visual IC-Tech Surya Informatika Jurnal Inovasi Hasil Pengabdian
Taufik hidayat
Universitas Selamat Sri
Religion Arts Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Nursing Physics Public Health Other

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Journal : SKANIKA: Sistem Komputer dan Teknik Informatika

 1 
PREDIKSI PENJUALAN PRODUK PADA SISTEM PENJUALAN POINT OF SALE (POS) DENGAN MENERAPKAN ALGORITMA APRIORI Taufik Hidayat; Yuni Handayani; Muhammad Zainul Mufti
SKANIKA: Sistem Komputer dan Teknik Informatika Vol 6 No 2 (2023): Jurnal SKANIKA Juli 2023
Publisher : Fakultas Teknologi Informasi, Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/skanika.v6i2.3042

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
Co-Authors Ahmad Syaifudin Ananda Akhmad Hafidz Atik Dina Nasikhah Bagus Aji Pradana Darnis, Rahmi Dina Hidayatussa’adah Edi Hariyanto Hanif Arruhama Harry Soepandi Muhamad Ishak Sugiono Muhammad Fabian Arrizqi Muhammad Zainul Mufti Rahmi Darnis Riswanto Sry Dhina Pohan Yuni Handayani Zumatul Firda Salsa Bella