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All Journal Journal of Informatics and Information Security
Muhammad Iqbal Iffahuddin
Universitas Bhayangkara Jakarta Raya
Computer Science & IT

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Implementasi Data Mining Untuk Menentukan Produk Buku Komik Terlaris Pada Toko Arivpedia Menggunakan Algoritma Apriori Muhammad Iqbal Iffahuddin; Achmad Noeman; Prio Kustanto; Mayadi
Journal of Informatic and Information Security Vol. 5 No. 1 (2024): Juni 2024
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/2gd01j83

Abstract

How to use transaction data at the arivpedia store selling the best-selling comic book products. Implementing the a priori algorithm to determine the best-selling comic book product pattern in the application to be tested. From this research, according to the analysis and implementation that has been made, the results of an a priori algorithm implementation system are found to determine the best-selling comic book products. With this system at the Arivpedia Store, it helps managers to calculate sales transaction data which is very easy to use. The application of data mining with the a priori algorithm is considered very efficient and can accelerate the process of forming product association patterns from sales transaction data at the Arivpedia store used in the test.
Co-Authors Achmad Noeman Kustanto , Prio Mayadi Mayadi