Analysis of Customer Purchases Using a Data Mining Approach to Improving Marketing Strategies at Indomaret Kaliurang

Rifki Nurul Mukarim; Dandy Fri Subagja; Demas Emirbuwono Basuki; Ratna Agil Apriani

doi:10.24014/jti.v10i1.29288

Analysis of Customer Purchases Using a Data Mining Approach to Improving Marketing Strategies at Indomaret Kaliurang

Rifki Nurul Mukarim, Dandy Fri Subagja, Demas Emirbuwono Basuki, Ratna Agil Apriani

Abstract

Marketing is the main activity carried out by entrepreneurs to maintain the viability of their business, develop the company, and get maximum profit. Companies need to know the right and appropriate marketing strategy so that the products to be sold on the market. Marketing strategy is one of the strategies applied to the retail industry in Indonesia, one of which is Indomaret. The purpose of this research is to increase market competitiveness so that it can survive and develop, and Indomaret in Kaliurang hopes to make a strategy to increase sales by conducting an analysis of consumer segments and product categories so that they can create sales strategies that can increase sales. The method used is clustering to find potential target markets that have similar characteristics and association rules &; Market basket analysis (AR-MBA) is used to find best practices for product marketing. The results of the Cluster Method with Non-Hierarchical Algorithm K-Means are 3 clusters. Based on the analysis conducted, it was found that the results of the AR-MBA method, there could be 6 rules for goods purchased simultaneously. Marketing strategies that can be applied by Indomaret Kaliurang such as promotions can be created by making products that are rarely purchased as bonuses for buying products that are often purchased. In addition, vouchers can be created as a promotional tool to encourage greater consumer purchases.

Keywords: AR-MBA, clustering, sales strategy, strategy marketing

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References

Alfiqra and Khasanah, "Implementation of Market Basket Analysis based on Overall Variability of Association Rule (OCVR) on Product Marketing Strategy," ICET4SD, 2020.

S. F. Octavia, Mustakim, I. Permana and S. Monalisa, "Penerapan Algoritma Association Rules Dalam Penentuan Pola Pembelian Berdasarkan Hasil Clustering," Jurnal Media Informatika Budidarma, pp. 956-965, 2023.

E. G. Permata, Suherman and R. Aini, "Strategi Pemasaran Islami dalam Meningkatkan Penjualan Produk dengan Matrik BCG dan SWOT Analisis," Jurnal Teknik Industri, vol. 6, 2020.

P. N. Romadhon, A. W. Rizqi and Hidayat, "Analisis Pasar Segmentation, Targeting, Positioning,dan Marketing Mix 4PMinuman Kopi UD. XYZ," Jurnal Teknik Industri, vol. 9, 2023.

F. H. Azhra, F. Najib, B. S. Putra and F. Ibrahim, "Marketing strategy planning at alfamart lodadi stores using the clustering, ahp, and ar-mba method," International Journal of Industrial Optimization, pp. 85-98, 2021.

T. S. Kumar, "Data Mining Based Marketing Decision Support System Using Hybrid Machine Support System Using Hybrid Machine," Journal of Artificial Intelligence and Capsule Networks, pp. 185-193, 2020.

E. Purnomo, A. Najib and Y. Nyura, "Penerapan Metode Trend Moment Untuk Forecast Penjualan Barang di Indomaret," Prosiding Seminar Ilmu Komputer dan Teknologi Informasi, pp. 98-102, 2018.

N. Kumalasari, "Analisis strategi pemasaran dalam meningkatkan volume penjualan produk di Toko Ismart dan Indomaret Ponorogo," Kajian dan Riset Manajemen, 2020.

N. Anand, T. Sharma, K. Gaurav, K. Kharbanda and Y. Raj Singh, "Retail Analysis — Walmart’s Trend Assessment," International Journal Of Progressive Research In Engineering Management And Science (IJPREMS), pp. 363-373, 2023.

M. Rizki, e. Devrika, F. S. Lubis, Silvia and Isnaini Hadiyul Umam, "Aplikasi Data Mining dalam Penentuan Layout Swalayan dengan Menggunakan Metode MBA," Jurnal Teknik Industri, vol. 5, 2019.

A. H. WIbowo, Andivas, D. Harits, H. Windyatri and D. S. Nugraha, "A Pattern Analysis on Goods Purchase Relationship for Minimarket’s Customers by Using Association Rule - Market Basket Analysis Method (AR-MBA)," Journal of Information Technology Ampera, 2023.

A. A. Aldiano, D. Darwis, A. T. Prastowo and C. Sujana, "Implementation of K-Means Algorithm for Clustering Corn Planting Feasibility Area in South Lampung Regency," Journal of Physics: Conference Series, 2020.

M. H. Malik, H. Ghous and I. Rehman, "Review of Market Basket Analysis on Retail Dataset using Data Mining Techniques," Southern Journal of Research, pp. 61-79, 2023.

M. A. Kalijaga and B. S. Putra, "Penerapan Analytical Hierarchy Proccess, Clustering, Dan Ar-Mba Sebagai Solusi Strategi Pemasaran Pada Toko Swalayan X," Jurnal Studi Inovasi, vol. 1, pp. 22-29, 2021.

A. A. Majid and C. S. Pramudyo, "Association Rules For Layout Design And Promotion Strategy," Proceedings of the Second Asia Pacific International Conference on Industrial Engineering and Operations Management, pp. 4-16, 2021.

S. G. Setyorini, E. K. Sari, L. R. Elita and S. A. Putri, "Market Basket Analysis with K-Means and FP-Growth Algorithm as Citra Mustika Pandawa Company," Indonesian Journal of Machine Learning and Computer Science, vol. 1, pp. 41-46, 2021.

H. Syahputra, L. Mayola and D. Guswandi, "Clustering Tingkat Penjualan Menu (Food and Beverage) Menggunakan Algoritma K-Means," Jurnal KomtekInfo, vol. 9, pp. 29-33, 2022.

W. P. Nurmayanti, H. M. Sastriana, A. Rahim, M. Gazali, R. H. Hirzi, Z. Ramdani and M. Malthuf, "Market Basket Analysis with Apriori Algorithm and Frequent Pattern Growth (Fp-Growth) on Outdoor Product Sales Data," International Journal of Educational Research & Social Sciences, pp. 132-139, 2021.

M. Qisman, R. Rosadi and A. Abdullah , "Market basket analysis using apriori algorithm to find consumer patterns in buying goods through transaction data (case study of Mizan computer retail stores)," Journal of Physics: Conference Series, 2020.

D. Yulian RI and S. P. Budiarto, "Penerapan Algoritma K-Means Clustering Untuk Segmentasi Pelanggan B-Clean Laundry Banyuwangi," Seminar Nasional Corisindo, 2022.

S. Asyuti and A. A. Setyawan, "Data Mining Dalam Penggunaan Presensi Karyawan Denga Cluster Means," Jurnal Ilmiah Sains Teknologi Dan Informasi , 2023.

I. Magdalena and R. Fahrudin, "Penerapan Data Mining Untuk Koperasi Se-Jawa Barat Menggunakan Metode Clustering pada Kementerian Koperasi dan UKM," JURNAL DIGIT, 2019.

H. Kurniawan, S. Defit and Sumijan, "Data Mining Menggunakan Metode K-Means Clustering Untuk Menentukan Besaran Uang Kuliah Tunggal," Journal Of Applied Computer Science And Technology (JACOST), 2020.

S. G. Setyorini, E. K. Sari, L. R. Elita and S. A. Putri, "Market Basket Analysis with K-Means and FP-Growth Algorithm as Citra Mustika Pandawa Company," MALCOM: Indonesian Journal of Machine Learning and Computer Science, 2021.

F. Ibrahim, B. S. Putra, F. H. Azhra and Fadhlurrohman, "Analysis of marketing strategy at setia stores using ahp,clustering, and ar-mba method," International Journal of Industrial Optimization, 2021.

M. Kalijaga and B. Putra, "Penerapan Analytical Hierarchy Proccess, Clustering, Dan Ar-Mba Sebagai Solusi Strategi Pemasaran Pada Toko Swalayan X," Jurnal Studi Inovasi, 2021.

M. A. Kalijaga and B. S. P. Putra, "Penerapan Analytical Hierarchy Proccess, Clustering, Dan Ar-Mba Sebagai Solusi Strategi Pemasaran Pada Toko Swalayan X," Jurnal Studi Inovasi, 2021.

E. Ernawati, S. Baharin and F. Kasmin, "A review of data mining methods in RFM-based customer Segmentation," Journal of Physic, 2020.

A. N. Sagin and B. Ayvaz, "Determination of Association Rules with Market Basket Analysis: An Application in the Retail Sector," Southeast Europe Journal of Soft Computing, vol. 7, 2018.

M. Fijriani, U. Hayati, G. Dwilestari, A. R. Rinaldi and Faturrohman, "Implementasi Market Basket Analysis Pada Toko Retail Menggunakan Algoritma Apriori," Jurnal Ilmiah Manajemen Informatika dan Komputer, pp. 29-34, 2023.

DOI: http://dx.doi.org/10.24014/jti.v10i1.29288