Association Analysis of Printing and Photocopying Sales Data in Adzmi Art Shop Cirebon Uses the FP-Growth Algorithm

Suteja; Rudi Kurniawan; Yudhistira Arie Wijaya

doi:10.59934/jaiea.v4i2.830

Authors

Suteja STMIK IKMI Cirebon
Rudi Kurniawan STMIK IKMI Cirebon
Yudhistira Arie Wijaya STMIK IKMI Cirebon

DOI:

https://doi.org/10.59934/jaiea.v4i2.830

Keywords:

FP-Growth algorithm, data mining, product association, sales, printing, photocopying.

Abstract

In the digital era, transaction data analysis plays a crucial role in strategic decision-making, especially for SMEs such as Toko Adzmi Art in Cirebon Regency. This study aims to develop a sales data association model using the FP-Growth algorithm to identify product association patterns. Daily transaction data over a year were collected, processed through data cleaning, standardization, and transformation, and analyzed using RapidMiner software. Minimum support and confidence parameters were applied to evaluate the frequency and strength of product relationships. The results show that the combination of "Photocopy" and "Passport Photo" services has a confidence of 0.491 and a support of 0.061, with "Photocopy" as the most in-demand product (support 0.497). These findings open opportunities for bundling strategies and inventory optimization to enhance operational efficiency. This model provides an empirical foundation for SMEs to leverage data mining technology to improve competitiveness and customer satisfaction.

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References

B. S. Pranata and D. P. Utomo, “Penerapan Data Mining Algoritma FP-Growth Untuk Persediaan Sparepart Pada Bengkel Motor (Study Kasus Bengkel Sinar Service),” Bull. Inf. Technol., vol. 1, no. 2, pp. 83–91, 2020.

R. Wahyusari, “Penerapan Algortima FP-Growth Untuk Menemukan Pola Peminjaman Alat Pada Workshop Teknik Mesin,” Log. J. Ilmu Komput. dan Pendidik., vol. 1, no. 3, pp. 406–411, 2023, [Online]. Available: https://journal.mediapublikasi.id/index.php/logic/article/view/2745%0Ahttps://journal.mediapublikasi.id/index.php/logic/article/download/2745/1211

R. Aditiya, S. Defit, and G. W. Nurcahyo, “Prediksi Tingkat Ketersediaan Stock Sembako Menggunakan Algoritma FP-Growth dalam Meningkatkan Penjualan,” J. Inform. Ekon. Bisnis, vol. 2, pp. 67–73, 2020, doi: 10.37034/infeb.v2i3.44.

A. Padillah, H. Satria Tambunan, R. A. Nasution, and G. Artikel, “Penerapan Algoritma FP-Growth dalam Menganalisa Pola dan Tata Letak Bahan Makanan,” JOMLAI J. Mach. Learn. Artif. Intell., vol. 1, no. 4, pp. 2828–9099, 2022, doi: 10.55123/jomlai.v1i4.1673.

V. Suryani, S. Defit, and Y. Yunus, “Analisa Data Profil Pelanggan Menggunakan Algoritma FP-Growth,” J. Inf. Teknol., vol. 2, pp. 7–15, 2020, doi: 10.37034/jidt.v2i1.8.

F. Achmad, O. Nurdiawan, and Y. Arie Wijaya, “Analisa Pola Transaksi Pembelian Konsumen Pada Toko Ritel Kesehatan Menggunakan Algoritma Fp-Growth,” JATI (Jurnal Mhs. Tek. Inform., vol. 7, no. 1, pp. 168–175, 2023, doi: 10.36040/jati.v7i1.6210.

F. Firmansyah and A. Yulianto, “Market Basket Analysis for Books Sales Promotion using FP Growth Algorithm, Case Study : Gramedia Matraman Jakarta,” J. Informatics Telecommun. Eng., vol. 4, no. 2, pp. 383–392, 2021, doi: 10.31289/jite.v4i2.4539.

F. Mahardika, N. Alfiah, and R. Bagus Bambang Sumantri, “Penerapan Metode FP Tree dan Frequent Pattern Growth pada Penerimaan Mahasiswa Baru STMIK,” Blend Sains J. Tek., vol. 1, no. 3, pp. 226–234, 2023, doi: 10.56211/blendsains.v1i3.176.

F. Z. Ghassani, Asep Jamaludin, and Agung Susilo Yuda Irawan, “Market Basket Analysis Using the Fp-Growth Algorithm To Determine Cross-Selling,” J. Inform. Polinema, vol. 7, no. 4, pp. 49–54, 2022, doi: 10.33795/jip.v7i4.508.

M. Yudho Ardianto and S. Adinugroho, “Penentuan Tata Letak Produk menggunakan Algoritma FP-Growth pada Toko ATK,” J. Pengemb. Teknol. Inf. dan Ilmu Komput., vol. 5, no. 9, pp. 3826–3832, 2021.

& H. Z. Diaz Aji Sasongko, “Implementasi Pengolahan Data Dengan Menggunakan Algoritma Fp-Growth Untuk Menentukan Frequent Item Set Pada Penyediaan Oli Motor (Studi Kasus: Bengkel Cahaya Motor),” J. Ilmu Komput. dan Pendidik., vol. 1, no. 3, pp. 643–654, 2023, [Online]. Available: https://journal.mediapublikasi.id/index.php/logic

P. Sari, L. I. Kesuma, A. F. Oklilas, and M. A. Buchari, “Simulasi Algoritma Apriori dan FP-Growth Dalam Menentukan Rekomendasi Kodefikasi Barang Pada Transaksi Persediaan,” Indones. J. Comput. Sci., vol. 13, no. 1, pp. 1135–1152, 2024, doi: 10.33022/ijcs.v13i1.3632.

D. A. Istiqomah, Yuli Astuti, and Siti Nurjanah, “Implementasi Algoritma Fp-Growth Dan Apriori Untuk Persediaan Produk,” J. Inform. Polinema, vol. 8, no. 2, pp. 37–42, 2022, doi: 10.33795/jip.v8i2.845.