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Computatio Journal of Computer Science and Information Systems
Article . 2023 . Peer-reviewed
License: CC BY NC SA
Data sources: Crossref
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Sistem Pendeteksi Pola Pembelian Konsumen Menggunakan Algoritma Apriori

Authors: James Anderson;

Sistem Pendeteksi Pola Pembelian Konsumen Menggunakan Algoritma Apriori

Abstract

Sistem pendeteksi pola pembelian konsumen menggunakan algoritma apriori adalah sebuah aplikasi berbasis web yang dibuat untuk mencatat transaksi antara toko dengan konsumen, kemudian memberikan pola pembelian konsumen berdasarkan data transaksi yang tersimpan pada sistem. Dari pola pembelian konsumen yang dihasilkan, aplikasi akan memberikan rekomendasi pengadaan barang untuk kelompok item tersebut. Aplikasi ini dibuat dengan menggunakan bahasa pemrograman Python, dengan metode hitung Apriori, Double Moving Average, dan Economic Order Quantity (EOQ). Pengujian aplikasi dilakukan melalui 3 tahapan yaitu Unit Testing, Internal Testing, dan User Acceptance Testing. Dengan dibuatnya aplikasi ini, diharapkan proses penentuan item-item yang harus diperhatikan dan cara pengadaan barang untuk mendapatkan biaya yang optimal dapat lebih mudah, sehingga toko Raja Jaya dapat terbantu.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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