Implementation Of Data Mining To Find Product Sales Patterns Using The Apriori Algorithm (Case Study: Warung Dini)

Muhammad Rifqo; Gunawan; Dandi Sunardi; Iin Nurazizah

doi:10.53697/jkomitek.v4i2.2147

Authors

Muhammad Husni Rifqo Universitas Muhammadiyah Bengkulu
Gunawan Universitas Muhammadiyah Bengkulu
Dandi Sunardi Universitas Muhammadiyah Bengkulu
Iin Nurazizah Universitas Muhammadiyah Bengkulu

DOI:

https://doi.org/10.53697/jkomitek.v4i2.2147

Keywords:

Data Mining, Sales Pattern, Apriori Algorithm

Abstract

In the increasingly fierce business competition, utilizing sales transaction data is crucial to improve business performance, including at Warung Dini. This research aims to identify customer purchasing patterns at Warung Dini by applying the Apriori algorithm, which is one of the effective data mining methods in uncovering associations between items in large transaction data. Using the Apriori algorithm, this research successfully found 12 association rules consisting of 5 combinations of two itemsets and 2 combinations of three itemsets, with a minimum support value of 60%, confidence 100%, and lift ratio 1. These itemset combinations reveal products that are often purchased together, such as Rice and Soy Sauce, as well as combinations of three products such as Rice, Soy Sauce, and Instant Noodles. These findings provide important insights for Warung Dini to optimize marketing strategies, such as designing attractive promotional packages and arranging product placement more strategically to increase sales. In addition, the results of this analysis also help the store in predicting stock needs, thus improving operational efficiency. The implementation of the Apriori algorithm in this study not only provides insight into sales patterns, but also supports more precise and strategic business decision-making, so as to strengthen the competitiveness of Warung Dini in a competitive market.

References

Ahmadar, Mohamad, Perwito Perwito, and Candra Taufik. 2021. “Perancangan Sistem Informasi Penjualan Berbasis Web Pada Rahayu Photo Copy Dengan Database MySQL.” Dharmakarya 10(4): 284.

Ashari, Mochamad Ikbal, Indwiarti, and Yuliant Sibaroni. 2015. “Aplikasi Data Mining Menggunakan Aturan Asosiasi Dengan Algoritma Pincer Search Untuk Menganalisis Data Transaksi Penjualan Studi Kasus: Data Transaksi Penjualan Yomart Margacinta Bandung.” e-Proceeding of Engineering 2(2): 6833–40.

Chen, H. (2024). Association rule mining of aircraft event causes based on the Apriori algorithm. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-64360-6

Chen, S. (2024). Information literacy of college students from library education in smart classrooms: based on big data exploring data mining patterns using Apriori algorithm. Soft Computing, 28(4), 3571–3589. https://doi.org/10.1007/s00500-023-09621-8

Dasgupta, S. (2024). Big data analysis on medical field for drug recommendation using apriori algorithm and deep learning. Multimedia Tools and Applications, 83(35), 83029–83051. https://doi.org/10.1007/s11042-024-18832-6

Dena, Yunita Meli, Muhammad Husni Rifqo, Yuza Reswan, and A. .. Walad Mahfuzi. 2023. “Data Mining Implementation Of Electronic Products Sales Using Apriori Algorithm (Case Study Of Fokus Komputer Shop).” Jurnal Komputer, Informasi Dan Teknologi 3(1):171–86. doi: 10.53697/jkomitek.v3i1.1200.

Elvis Syahri, Mohamad, Dadang Yusuf, Universitas Singaperbangsa Karawang, and Karawang Jawa Barat. 2023. “Penerapan Data Mining Menggunakan Algoritma Apriori Terhadap Data Transaksi Penjualan Untuk Menentukan Paket Promosi (Studi Kasus Kedai Warung Jambu).” Jurnal Mahasiswa Teknik Informatika 7(4): 2690–99.

Kasus, Studi, and Kalibaru Mart. “Penerapan Algoritma Apriori Untuk Analisis Data Transaksi Penjualan Pada Toko Berbasis Web.” : 1–8.

Kurniawan, H. (2019). Implementation Data Mining in Prediction of Sales Chips with Rough Set Method. 2018 6th International Conference on Cyber and IT Service Management, CITSM 2018. https://doi.org/10.1109/CITSM.2018.8674280

Kusumo, Haryo, Eko Sediyono, and Marwata Marwata. 2019. “Analisis Algoritma Apriori Untuk Mendukung Strategi Promosi Perguruan Tinggi.” Walisongo Journal of Information Technology 1(1): 49.

Lu, P. H. (2024). An Apriori algorithm-based association rule analysis to identify acupoint combinations for treating uremic pruritus. Tzu Chi Medical Journal, 36(2), 195–202. https://doi.org/10.4103/tcmj.tcmj_217_23

Mai, Putri et al. 2022. “Implementasi Data Mining Menggunakan Algoritma Apriori Dalam Menentukan Persediaan Barang ( Studi Kasus : Toko Sinar Harahap ).” 12(2): 51–61.

Pradnyana, Gede Aditra, and Ketut Agustini. 2022. “Konsep Dasar Data Mining.” Konsep Data Mining 1: 1–16.

Saefudin, Saefudin, and Septian DN. 2019. “Penerapan Data Mining Dengan Metode Algoritma Apriori Untuk Menentukan Pola Pembelian Ikan.” JSiI (Jurnal Sistem Informasi) 6(2): 36.

Sitanggang, Delima, M Kom, and Algoritma Apriori. 2023. “Delima Sitanggang, M.Kom.”

Suardi, Clara Falisha, Hasyrif S Y, and Sunardi Sunardi. 2023. “Implementasi Algoritma Apriori Untuk Analisis Data Transaksi Penjualan Pada Toko Berbasis Desktop.” Jurnal Tekno Kompak 17(1): 136.

Sugiyono, yeyen maryani. 2008. Kamus Besar Bahasa Indonesia. Jakarta: Kamus Pusat Bahasa.

Sutrisno, Sutrisno. 2020. “Penerapan Algoritma Apriori Untuk Mencari Pola Penjualan Produk Dana Pada Pt Bank Rakyat Indonesia (Persero) Tbk Kanca Jakarta Pasar Minggu.” Jurnal Sistem Informasi dan Informatika (Simika) 3(1): 12–26.

Syahriani, Syahriani. 2022. “Penerapan Data Mining Untuk Menentukan Pola Penjualan Sepatu Menggunakan Metode Algoritma Apriori.” Bina Insani Ict Journal 9(1): 43.

Xie, B. (2022). Design and Implementation of Data Mining in Information Management System. IEEE International Conference on Knowledge Engineering and Communication Systems, ICKES 2022. https://doi.org/10.1109/ICKECS56523.2022.10060029

Yu, X. (2024). Apriori algorithm-based statistical analysis of hydrogen accidents. China Safety Science Journal, 34(4), 128–134. https://doi.org/10.16265/j.cnki.issn1003-3033.2024.04.0839