Article Per Year (5 Year)
p-Index From 2019 - 2024
0.23
P-Index
This Author published in this journals
All Journal Jurnal JSIKA
Muhyiy, Hafiidh
Jurnal Sistem Informasi dan Komputerisasi Akuntansi (JSIKA)
Other

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

Found 1 Documents
Search

 1 
Application of Apriori Algorithms on Online Shop Product Recommendation Systems (Case Study: Al-Veera Jember Muslim Clothing Store) Muhyiy, Hafiidh; Sagirani, Tri; Hananto, Valentinus Roby
Jurnal Sistem Informasi dan Komputerisasi Akuntansi (JSIKA) Vol 8, No 1 (2019)
Publisher : Jurnal Sistem Informasi dan Komputerisasi Akuntansi (JSIKA)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Online shop is a trend in the current era because customers can easily and easily buy the desired product, including the Al-Veera store in Jember. Because of their short operating hours and the small area of their marketing. Besides that they need applications that can provide product recommendations. Product recommendation applications using the Apriori Algorithm can be a solution to this problem. The Priori algorithm is a logic calculation which combines a particular product with other products through transaction history data. Based on the results of testing the Apriori Algorithm on Product Recommendation Applications, which were carried out in 5 stages in a priori the results showed that the Priori Algorithm runs according to the scenario generated from manual calculations. Thus it can be said that the application made is able to help Al-Veera stores in promoting their products
Co-Authors Tri Sagirani Valentinus Roby Hananto