Analysis of the Apriori Algorithm for Enhancing Retail Product Staple Sales Recommendations
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Dec 20, 2023
Keywords:
Retail Products, Data Mining, Apriori Algorithm, Product Recommendations, Fundamental Ingredients
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Abstract
Products are fundamental commodities in the market that cater to various consumer needs and desires. This research employs the Apriori algorithm to generate product recommendations based on the analysis of high-demand patterns arising from product sales and association patterns. Specifically, we focus on identifying elevated sales in categories such as Bulk Products, Biscuits/Snacks, Drinks, Milk/Coffee/Tea, and Sauces & Spices during specific time intervals. The model's evaluation and validation entail measuring the Lift Ratio value, a key metric. In our assessment using the RapidMiner Studio application, we find that the Lift Ratio value equals 1. Consequently, our model asserts that combinations with a Lift Ratio value greater than or equal to 1 are deemed valid and beneficial.
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Kurniawan, A., & Suwaryo, N. (2023). Analysis of the Apriori Algorithm for Enhancing Retail Product Staple Sales Recommendations. International Journal Software Engineering and Computer Science (IJSECS), 3(3), 449–456. https://doi.org/10.35870/ijsecs.v3i3.1877
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Satria, D., Yana, S., Munadi, R. and Syahreza, S., 2017. Sistem peringatan dini banjir secara real-time berbasis web menggunakan arduino dan ethernet. Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), 1(1), pp.1-6. DOI: https://doi.org/10.35870/jtik.v1i1.27.
Iyigun, M., Bak, Y., Wilson, EN, Stark, KV, Zhang, S., Stemen, PL, King, BE, Karagounis, V. And Jain, N., Microsoft Technology Licensing LLC, 2019. Fast Computer Startups. US Patent 10,268,487.
Sloman, A., 2019. The computer revolution in philosophy: Philosophy, science and models of mind. Author.
Mayer, R.E., 2019. Computer games in education. Annual review of psychology, 70, pp.531-549.
Davie, BS And Peterson, LL, 2019. Computer Networks. Morgan Kaufmann.
Ariestya, W.W., Supriyatin, W. and Astuti, I., 2019. Marketing strategy for the determination of staple consumer products using FP-growth and apriori algorithm. Jurnal Ilmiah Ekonomi Bisnis, 24(3), pp.225-235. DOI: http://dx.doi.org/10.35760/eb.2019.v24i3.2229.
Wijaya, H.O.L., 2022. Analysis of Sales Transactions in Increasing Sales Promotion Using the WEKA Tool: Datamining. Adpebi Science Series, pp.1-8. DOI: https://doi.org/10.31289/jite.v4i2.4539.
Firmansyah, F., 2021. Market Basket Analysis for Books Sales Promotion using FP Growth Algorithm, Case Study: Gramedia Matraman Jakarta. Journal of Informatics and Telecommunication Engineering, 4(2), pp.383-392. DOI: https://doi.org/10.2991/assehr.k.220404.315.
Aurelia, A., Dewi, N.P.L.Y., Tanupratala, W., Tsaqifah, Z. and Lina, L., 2022, April. Designing a mobile based-application using Apriori algorithm: A Business development strategy during pandemic COVID-19. In 3rd Tarumanagara International Conference on the Applications of Social Sciences and Humanities (TICASH 2021) (pp. 1928-1935). Atlantis Press. DOI: https://doi.org/10.1109/CONIT59222.2023.10205810.
Srivastava, G.R., Gera, P., Goyal, N., Sharma, A. and Rani, R., 2023, June. From Clicks to Carts: Developing an Autonomous E-Grocery Shopping System. In 2023 3rd International Conference on Intelligent Technologies (CONIT) (pp. 1-5). IEEE. DOI: https://doi.org/10.1109/CONIT59222.2023.10205810.
Koomsap, P., Tan, C.F., Lin, Y.J. and Huang, C.Y., 2021, July. Managing a Retail Store and the Associated Warehouse with a Knowledge-Driven Approach. In International Conference on Production Research (pp. 338-354). Cham: Springer International Publishing. DOI: https://doi.org/10.1007/978-3-031-44373-2_20.
Syahril, M., Erwansyah, K. and Yeti, M., 2020. Application of Data Mining to Determine School Equipment Sales Patterns on the Wiggle Brand Using the Apriori Algorithm. Journal of Information Systems and Computer Systems Technology, 3(1), pp.118-136.
Nurdin, D.A., 2015. Application of Data Mining to Analyze Sales of Goods Using the Apriori Method at the Sejahtera Lhokseumawe Supermarket. 6(1), Pp. 134–155, 2015, DOI: 10.29103/TECHSI.V7I1.184.
Sintia, S., Poningsih, P., Saragih, I.S., Wanto, A. and Damanik, I.S., 2019, September. Penerapan algoritma apriori dalam memprediksi hasil penjualan sparepart pc (studi kasus: toko sentra computer). In Prosiding Seminar Nasional Riset Information Science (SENARIS) (Vol. 1, pp. 910-917). DOI: http://dx.doi.org/10.30645/senaris.v1i0.99.