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Chendana, Nicholas Ignatius
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering

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Penemuan Pola Asosiasi pada Data Transaksi PT Bumi Kaya Kuliner Menggunakan Algoritma Apriori Chendana, Nicholas Ignatius; Mardiani, Mardiani
MDP Student Conference Vol 4 No 1 (2025): The 4th MDP Student Conference 2025
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v4i1.10978

Abstract

PT Bumi Kaya Kuliner is a company operating in the culinary sector which every day stores a lot of transaction data in Excel format containing sales of food and beverage products. The company wants to utilize the stored transaction data to provide future strategy suggestions. So data mining analysis can be carried out using an a priori algorithm using the CRISP-DM method. The results obtained from this research are in the form of menu combinations that are often ordered simultaneously and the output of this research is also in the form of a dashboard application which is implemented using Visual Studio code and the Python programming language with the aim of being able to be used by companies to see calculation results directly.
Co-Authors Mardiani Mardiani