Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia
Vol. 1 No. 6 (2024): BINER : Jurnal Ilmu Komputer, Teknik dan Multimedia

Analisa Data Mining Untuk Prediksi Penjualan Produk Menggunakan Algoritma FP-Growth Berbasis Web Studi Kasus Online Shop Muslim Galeri

Petrus Kanisisus Heatubun (Universitas Pamulang)
Maulana Fansyuri (Universitas Pamulang)

Article Info

Publish Date
17 Mar 2024

Abstract

Online Shop Muslim Galeri is one of the sellers of contemporary products in the field of clothing and goods, in sales in the era of globalization 4.0, Muslim Galeri is certainly in the business of selling using technology or manually by offering directly to potential consumers. Random sales provide a very unpredictable picture in predicting product sales, it is certainly very difficult to know the progress or decline of sales of what products are sold to the Muslim Gallery. The problem that exists in Muslim galleries is the need to predict product sales to consumers. With this, Data Mining will be applied in this study as a solution to predict the sales of Muslim Gallery products.The method used in the data processing process is using the FP-Growth algorithm. Data processing using this algorithm is expected to provide an easy solution in predicting product sales at the Muslim Gallery Online Shop.

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Journal Info
Biner : Jurnal Ilmu Komputer, Teknik dan Multimedia
Website

Abbrev

Biner

Publisher

CV. SHOFANAH MEDIA BERKAH

Subject

Humanities Computer Science & IT Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Transportation

Description

1. Komputasi Lunak, 2. Sistem Cerdas Terdistribusi, Manajemen Basis Data, dan Pengambilan Informasi, 3. Komputasi evolusioner dan komputasi DNA/seluler/molekuler, 4. Deteksi kesalahan, 5. Sistem Energi Hijau dan Terbarukan, 6. Antarmuka Manusia, 7. Interaksi Manusia-Komputer, 8. Hibrida dan ...