Article Per Year (5 Year)
p-Index From 2019 - 2024
1.066
P-Index
This Author published in this journals
All Journal Jurnal ICT : Information Communication & Technology JTIK (Jurnal Teknik Informatika Kaputama) JIKA (Jurnal Informatika) Jurnal AbdiMas Nusa Mandiri Informatics and Computer Engineering Journal Paradigma
saghifa Fitriana
Universitas Bina Sarana Informatika
Computer Science & IT Decision Sciences, Operations Research & Management Education Energy Environmental Science Mathematics Physics Social Sciences Other

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Informatics and Computer Engineering Journal

 1 
Implementasi Data Mining Penjualan Peralatan Badminton Dengan Menggunakan Metode Apriori: Implementasi Data Mining Penjualan Peralatan Badminton Dengan Menggunakan Metode Apriori Resha Duwi Ismanto Resha; saghifa Fitriana
Informatics and Computer Engineering Journal Vol 2 No 2 (2022): Periode Agustus 2022
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/icej.v2i2.1250

Abstract

Sales of badminton equipment are increasingly needed, with sales transaction activities every day the data will increase over time, to find out which types of goods are most in demand an a priori algorithm is needed. The a priori algorithm is a type of association rule in data mining. One of the related stages of pattern analysis that has attracted the attention of many researchers to develop efficient algorithms is high-frequency pattern analysis. The importance of associations can be recognized with support and confidence. Support is the probability that consumers will buy several products at once from the number of transactions, while confidence is the strength of the relationship between items in the association rules. The determination of the itemset used is a combination of 1, 2, and 3 with a minimum support of 40% and a minimum confidence of 70%. A priori algorithms help develop marketing strategies.
Co-Authors Ahmad Nouvel - AMIK BSI Purwokerto Ahmad Nouvel - AMIK BSI Purwokerto Andre Raymon Rangian Eva Pratama Ina Maryani Nur Amalia Solikhah Resha Duwi Ismanto Resha Vadlya Maarif Vembria Rose Handayani