Penerapan Metode Market Basket Analysis (MBA) dengan Algoritma Apriori Untuk Menganalisis Pembelian Jajanan Khas Lebaran Pada Warung Sembako di Toko Win
DOI:
https://doi.org/10.35870/jtik.v7i4.1083Keywords:
Apriori Algorithm, Association Rules, Market Basket Analysis, Rapid MinerAbstract
Market Basket Analysis is determining marketing strategies to meet products that will be purchased simultaneously by consumers who are frequently used and most useful for marketing environments that apply an "if-then" pattern. The aim is to identify which can be used as a reference in determining the layout of items with a combination of items that are frequently purchased and interconnected in order to increase sales with the right marketing strategy Research was conducted at the Win Store where so far there is a lot of data accumulate that is only used as archives or bookkeeping, so as to help increase sales by making sales transaction data as new information by processing it using the Basket Analysis Method and the Apriori Algorithm using Rapid Miner Studio.Here using 7 data atribut namely Astor, Kastangel, Spinach Chips, Seblak Chips, Intestine Chips, Monde, and Nastar, and 50 data records, with a minimum support limit = 0.4 and minimum confidence = 0.6 which produces 14 rules. And the highest item set combination pattern obtained in this study is [NASTAR, MONDE] => [KASTANGEL] yielding a confidence of 85.7%.
Downloads
References
Gunadi, G., & Sensuse, D. I. 2012. Penerapan Metode Data Mining Market Basket Analysis Terhadap Data Penjualan Produk Buku Dengan Menggunakan Algoritma Apriori Dan Frequent Pattern Growth (Fp-Growth): Studi Kasus Percetakan Pt. Gramedia.
Alfiyan, A. R., Kahfi, A. H., Kusumayudha, M. R., & Rezki, M. 2019. Analisis Market Basket Dengan Algoritma Apriori Pada Transaksi Penjualan Di Freshfood. IJCIT (Indonesian Journal on Computer and Information Technology), 4(1), 1–8.
Gemala, M., Arifin, M. and Aliffianto, A.Y., 2013. Penerapan Metode Market Basket Analysis Pada Situs Web E-Commerce (Studi Kasus: Dhian Handicraft Indonesia) (Doctoral dissertation, Universitas Dinamika).
Setiawan, A. and Mulyanti, R., 2020. Market Basket Analysis dengan Algoritma Apriori pada Ecommerce Toko Busana Muslim Trendy (Market Basket Analysis with Apriori Algorithms in Ecommerce Trendy Muslim Clothing Stores). JUITA: Jurnal Informatika, 8(1), pp.11-18. DOI: http://dx.doi.org/10.30595/juita.v8i1.4550.
Halim, S.H.A., 2021. Identifikasi Pola Penjualan Kategori Barang dalam Menjaga Stabilitas Stok Barang Menggunakan Algoritma Fp-Growth. Jurnal Informatika Ekonomi Bisnis, pp.155-160. DOI: https://doi.org/10.37034/infeb.v3i4.94
Umar, E., Manongga, D., & Iriani, A. 2022. Market Basket Analysis Menggunakan Association Rule dan Algoritma Apriori Pada Produk Penjualan Mitra Swalayan Salatiga. Jurnal Media Informatika Budidarma, 6(3), 1367. DOI: https://doi.org/10.30865/mib.v6i3.4217.
Dzulkarnaen, R., 2020. Perancangan Aplikasi Data Mining Market Basket Analysis Pada Apotek Permata dengan Metode Hybrid-Dimension Association Rules. Journal of Information Technology, 2(2), pp.67-72. DOI: https://doi.org/10.47292/joint.v2i2.35.
Rerung, R. R. 2018. Penerapan Data Mining dengan Memanfaatkan Metode Association Rule untuk Promosi Produk. Jurnal Teknologi Rekayasa, 3(1), 89–98. DOI: https://doi.org/10.31544/jtera.v3.i1.2018.89-98.
Romadhon, M. S., & Kodar, A. 2020. Implementasi Metode Market Basket Analysis (Mba) Menggunakan Algoritma Apriori Dalam Transaksi Penjualan (Studi Kasus: Kafe Ruang Temu).
Sharif, A. 2019. Data Mining Untuk Memprediksi Itemset Promosi Penjualan Barang Menggunakan Metode Market Basket Analysis (Mba) (Studi Kasus: Toko Sentra Ponsel). Jurnal Mantik Penusa, 3(Desember), 117–123.
Hendajani, F., & Anita. 2019. Perbandingan Penggunaan Aplikasi Rapid Miner Dengan Weka Untuk Penerapan Metode K-Means Clustering Pada Pengelompokan Penderita Demensia.
Han, J., Kamber, M., & Pei, J. 2012. Data Mining: Concepts and Techniques.
Masnur, A., 2015. Analisa Data Mining Menggunakan Market Basket Analysis untuk Mengetahui Pola Beli Konsumen. SATIN-Sains Dan Teknologi Informasi, 1(2), pp.32-40.
Rhomadhona, H., et al. 2021. Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan, 10(02), 65–73.
Qoni’ah, I., & Priandika, A. T. 2020. Analisis Market Basket Untuk Menentukan Asossiasi Rule Dengan Algoritma Apriori (Studi Kasus: Tb. Menara). Jurnal Teknologi dan Sistem Informasi, 1(2), 26–33. [Online]. Available: http://jim.teknokrat.ac.id/index.php/JTSI.
Downloads
Published
Issue
Section
License
Copyright (c) 2023 Wahyu Nugraheni, Adi Nugroho
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors who publish with this journal agree to the following terms:
1. Copyright Retention and Open Access License
Authors retain copyright of their work and grant the journal non-exclusive right of first publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
This license allows unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
2. Rights Granted Under CC BY 4.0
Under this license, readers are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, including commercial use
- No additional restrictions — the licensor cannot revoke these freedoms as long as license terms are followed
3. Attribution Requirements
All uses must include:
- Proper citation of the original work
- Link to the Creative Commons license
- Indication if changes were made to the original work
- No suggestion that the licensor endorses the user or their use
4. Additional Distribution Rights
Authors may:
- Deposit the published version in institutional repositories
- Share through academic social networks
- Include in books, monographs, or other publications
- Post on personal or institutional websites
Requirement: All additional distributions must maintain the CC BY 4.0 license and proper attribution.
5. Self-Archiving and Pre-Print Sharing
Authors are encouraged to:
- Share pre-prints and post-prints online
- Deposit in subject-specific repositories (e.g., arXiv, bioRxiv)
- Engage in scholarly communication throughout the publication process
6. Open Access Commitment
This journal provides immediate open access to all content, supporting the global exchange of knowledge without financial, legal, or technical barriers.
