Article Per Year (5 Year)
p-Index From 2019 - 2024
0.23
P-Index
This Author published in this journals
All Journal G-Tech : Jurnal Teknologi Terapan
Nixon Erzed
Universitas Esa Unggul, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Energy Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Analisis Minat Pelanggan Terhadap Produk Pakaian Dengan Implementasi Algoritma Apriori (Studi Kasus Toko XYZ) Atik Rizkiyani; Nizirwan Anwar; Kundang Karsono Juman; Nixon Erzed
G-Tech: Jurnal Teknologi Terapan Vol 7 No 3 (2023): G-Tech, Vol. 7 No. 3 Juli 2023
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v7i3.2868

Abstract

XYZ Store is a type of clothing selling business to determine what clothes to buy for Warehouse inventory. However, currently all transaction activities related to sales and purchases at Toko XYZ are still manual by using a notebook as sales data collection. With daily sales activities, product sales data will increase over time, which will make the data accumulate more and more. To facilitate data processing, a new data processing method is needed, namely data mining which can provide strategic and accurate information. In Data Mining there are several types of methods according to their utilization including: prediction, association, classification, clustering and estimation. In the association method there are several techniques including the Apriori algorithm.
Co-Authors Atik Rizkiyani Kundang Karsono Juman Nizirwan Anwar