MDP Student Conference
Vol 4 No 1 (2025): The 4th MDP Student Conference 2025

Penerapan Data Analitik untuk Menentukan Pola Asosiasi Penjualan dengan Algoritma Apriori

Bong, Adryanto Wisesa (Unknown)
Mardiani, Mardiani (Unknown)

Article Info

Publish Date
16 Apr 2025

Abstract

Company XYZ is a distributor of motorbike spare parts that faces challenges in utilizing transaction data to improve marketing strategies. This research aims to apply the Apriori algorithm in analyzing transaction data to find product purchasing patterns that often occur simultaneously. The Knowledge Discovery in Database (KDD) method is used for the analysis process, starting from understanding data, data transformation, to pattern discovery and evaluation. The interactive dashboard was designed using Python to present analysis results in an easy-to-understand visual form. The research results show that the application of the Apriori algorithm can identify significant association patterns between products, help companies improve sales strategies and optimize stock management. Thus, this research contributes to data-based decision making to support company business growth.

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Journal Info
MDP Student Conference
Website

Abbrev

msc

Publisher

Universitas Multi Data Palembang

Subject

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

Description

MDP Student Conference is a one-year national conference organized by the Universitas Multi Data Palembang. We are inviting teachers, lecturers, researchers, scholars, students, and or other key stakeholders to present and discuss their latest findings, innovations, and best practices as well as ...