Analisis Pola Transaksi Belanja Online Menggunakan Algoritma Apriori
DOI:
https://doi.org/10.61132/saturnus.v1i4.1222Keywords:
Apriori Algorithm, Association Rule Mining, Data Mining, Market Basket, Online Transaction AnalysisAbstract
This study aims to analyze purchasing patterns in online transactions using the Apriori algorithm to support sales strategy optimization. The research was conducted on transactional data from an online store selling household and daily-use products. The Apriori method was applied to identify associations between items based on minimum support and confidence thresholds. Four experimental scenarios were tested to compare the reliability of generated rules and determine the strongest item relationships. Data preprocessing included item grouping, transaction coding, and elimination of non-frequent items. The results show several strong association rules with lift ratio values above 1, indicating meaningful item relationships. The strongest rule identified was the association between forks and spoons, forming a highly relevant combination for product bundling strategies. The findings demonstrate that the Apriori algorithm can assist online stores in planning stock, designing product bundling, and improving marketing effectiveness. The research contributes practical insights for business decision-making and highlights the significance of data mining in e-commerce environments.
References
Alfiani, R., & Pratama, B. (2021). Analisis perilaku konsumen dalam penggunaan platform digital marketplace di Indonesia. Jurnal Ekonomi dan Bisnis Digital, 4(2), 112–124.
Dewantara, A., & Suharto, R. (2020). Pengaruh kepemimpinan transformasional terhadap kinerja karyawan pada perusahaan jasa. Jurnal Manajemen dan Organisasi, 11(1), 55–65.
Fauzan, M., & Haryanto, A. (2019). Strategi promosi digital untuk meningkatkan brand awareness UMKM. Jurnal Pemasaran dan Kewirausahaan, 7(2), 89–98.
Hapsari, S., & Widodo, T. (2022). Implementasi data mining untuk analisis pola pembelian konsumen menggunakan algoritma Apriori. Jurnal Teknologi Informasi dan Sains, 8(3), 230–239.
Indrawan, T., & Lestari, F. (2021). Pengaruh kualitas layanan elektronik terhadap kepuasan pengguna marketplace. Jurnal Sistem Informasi dan Teknologi Bisnis, 5(1), 44–53.
Kurniawan, A., & Setyawan, D. (2019). Analisis faktor-faktor yang memengaruhi loyalitas pelanggan pada platform e-commerce. Jurnal Manajemen Pemasaran, 13(2), 101–113.
Mahardika, Y., & Rahmasari, N. (2023). Pengaruh budaya organisasi terhadap produktivitas karyawan pada perusahaan rintisan digital. Jurnal Administrasi dan Bisnis Modern, 2(1), 15–26.
Ningsih, R., & Prabowo, W. (2020). Evaluasi kinerja sistem informasi menggunakan metode PIECES pada aplikasi penjualan online. Jurnal Teknologi dan Informatika, 10(2), 77–85.
Putri, D. W., & Anggraeni, S. (2022). Pengaruh motivasi kerja terhadap komitmen organisasi pada sektor pendidikan. Jurnal Humaniora dan Sosial, 9(1), 66–74.
Slamet, A., & Kurniadi, E. (2021). Implementasi customer relationship management pada bisnis digital untuk meningkatkan retensi pelanggan. Jurnal Informasi dan Teknologi, 12(4), 321–330.
Wijayanti, M., & Darmawan, H. (2023). Analisis efektivitas strategi pemasaran media sosial terhadap peningkatan penjualan UMKM. Jurnal Transformasi Digital Bisnis, 1(2), 55–64.
Agrawal, R., Imieliński, T., & Swami, A. (1993). Mining association rules between sets of items in large databases. ACM SIGMOD Record, 22(2), 207–216.
Bator, R. J., Bryan, A. D., & Schultz, P. W. (2011). Who gives a hoot? Environment and Behavior, 43(3), 295–315.
Hidayati, S. N. (2016). Pengaruh pendekatan keras dan lunak pemimpin organisasi terhadap kepuasan kerja dan potensi mogok kerja karyawan. Jurnal Maksipreneur, 5(2), 57–66.
Risdwiyanto, A., & Kurniyati, Y. (2015). Strategi pemasaran perguruan tinggi swasta di Kabupaten Sleman Yogyakarta berbasis rangsangan pemasaran. Jurnal Maksipreneur, 5(1), 1–23.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Saturnus : Jurnal Teknologi dan Sistem Informasi
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
