Application of FP-Growth Method in Retail Business Optimization
Keywords:
FP-Growth, FP-Tree, Data Mining, IT Business, Purchasing patterns
Abstract
Sales transaction data is something that can be reused for business decision making. However, in this case, the transaction data is not reused for business purposes, and is only used as an archive of sales reports. The FP-Growth algorithm is a level of a priori association algorithm that uses alternative itemset frequencies based on the numbers that most frequently appear in each transaction (frequent itemset) in a group of data. The characteristic of the FP-Growth algorithm is that the structure of the data used is a tree with the name FP-Tree. With the use of FP-Tree, the FP-Growth algorithm can extract frequent Itemsets from FP-Tree. The FP-Growth method is divided into 3 main stages, namely the conditional pattern base generation stage, the FP-Tree conditional generation stage, and the frequent itemsset search stage. With the application of the FP-Growth method in this study, it can be used to see product sales patterns. The results obtained are in the form of 5 interesting rules by entering a min support value of 10% and min confidance 50%, namely if you buy diapers then buy clothes, if you buy a pacifier baby then buy clothes, if you buy hats then buy clothes, if you buy pants you will buy clothes, and if you buy a singlet you will buy clothes. It is hoped that this research can help Aura Moms Baby & Kids Retail owners in utilizing the results of sales transactions so that the results can be utilized appropriately. This is evidenced by the creation of an E-Business system that can manage sales transactions to determine product purchase patterns at Retail Aura Moms, Baby & Kids.
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References
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[22] I. Astrina, M. Z. Arifin, and U. Pujianto, “Penerapan Algoritma FP-Growth dalam Penentuan Pola Pembelian Konsumen pada Kain Tenun Medali Mas,” Matrix J. Manaj. Teknol. dan Inform., vol. 9, no. 1, p. 32, 2019, doi: 10.31940/matrix.v9i1.1036.
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[2] R. Wandri and Anggi Hanafiah, “Analysis of Information Technology (IT) Goods Sales Patterns Using the FP-Growth Algorithm.” 2022.
[3] S. Anggraeni, M. A. Iha, W. Erawati, and S. Khairunnas, “Analysis of Sales by Using Apriori and FP-Growth at PT. Panca Putra Solusindo,” Ris. dan E-Jurnal Manaj. Inform. Komput., vol. 3, no. 2, pp. 41–47, 2019.
[4] P. A. Bangun, E. J. Rinaldi, and Y. Laia, “Aplikasi Prediksi Pola Pembelian Customer dengan Metode Market Basket Analysis pada PT. Capella Medan,” J. Sist. Inf. dan Ilmu Komput. Prima(JUSIKOM PRIMA), vol. 2, no. 2, pp. 59–66, 2019, doi: 10.34012/jusikom.v2i2.425.
[5] S. Saefudin and S. DN, “Penerapan Data Mining Dengan Metode Algoritma Apriori Untuk Menentukan Pola Pembelian Ikan,” JSiI (Jurnal Sist. Informasi), vol. 6, no. 2, p. 36, 2019, doi: 10.30656/jsii.v6i2.1587.
[6] S. P. Tamba, M. Sitanggang, B. C. Situmorang, and G. Laura, “Application of Data Mining To Determine the Level of Fish Sales in Pt . Trans Retail With Fp-Growth Method,” …, vol. 10, no. 2, pp. 905–913, 2022, [Online]. Available: http://infor.seaninstitute.org/index.php/infokum/article/view/434%0Ahttps://infor.seaninstitute.org/index.php/infokum/article/download/434/350
[7] Y. Fiorentina Marethi, “Penggunaan Teknologi Informasi Pada E-Business,” ResearchGate, pp. 1–19, 2019.
[8] R. Damayanti Apnena and F. Faujiyah, “Comparison of Apriori and FP-Growth Algorithms in Recommending Promotional Itemsets for Entrepreneurs Using the Lift Ratio Method (Case Study: Berkah Jaya, Elektrik 67, E-Commerce),” Appl. Inf. Technol. , vol. 1, no. 1, pp. 61–71, 2022, doi: 10.12487/AMRI.v1i1.xxxxx.
[9] A. Setiawan and I. G. Anugrah, “Penentuan Pola Pembelian Konsumen pada Indomaret GKB Gresik dengan Metode FP-Growth,” J. Nas. Komputasi dan Teknol. Inf., vol. 2, no. 2, p. 115, 2019, doi: 10.32672/jnkti.v2i2.1564.
[10] I. M. D. P. Asana, I. K. A. G. Wiguna, K. J. Atmaja, and I. P. A. Sanjaya, “FP-Growth Implementation in Frequent Itemset Mining for Consumer Shopping Pattern Analysis Application,” J. Mantik, vol. 4, no. 3, pp. 2063–2070, 2020, [Online]. Available: http://iocscience.org/ejournal/index.php/mantik/article/view/882/595
[11] N. Putri, A.D.S.,&Farida, “Pengaruh fasilitas wisata dan kualitas pelayanan Terhadap niat berkunjung kembali melalui kepuasan pengunjung (Studi obyek wisata Goa Kreo Kota Semarang),” pp. 781–793, 2020.
[12] A. Maulana and A. A. Fajrin, “Penerapan Data Mining Untuk Analisis Pola Pembelian Konsumen Dengan Algoritma Fp-Growth Pada Data Transaksi Penjualan Spare Part Motor,” Klik - Kumpul. J. Ilmu Komput., vol. 5, no. 1, p. 27, 2018, doi: 10.20527/klik.v5i1.100.
[13] R. Amelia and D. P. Utomo, “Analisa Pola Pemesanan Produk Modern Trade Independent Dengan Menerepakan Algoritma Fp. Growth (Studi Kasus: Pt. Adam Dani Lestari),” KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. 3, no. 1, pp. 416–423, 2019, doi: 10.30865/komik.v3i1.1622.
[14] S. Suhada, D. Ratag, G. Gunawan, D. Wintana, and T. Hidayatulloh, “Penerapan Algoritma Fp-Growth Untuk Menentukan Pola Pembelian Konsumen Pada Ahass Cibadak,” Swabumi, vol. 8, no. 2, pp. 118–126, 2020, doi: 10.31294/swabumi.v8i2.8077.
[15] T. N. Purba and D. Firdaus, “Determination for Consumer Patterns in Beverage Product Sales Using the Frequent Pattern Growth Algorithm,” IJISCS (International J. Inf. Syst. Comput. Sci., vol. 5, no. 2, p. 84, 2021, doi: 10.56327/ijiscs.v5i2.982.
[16] D. Fitrianah and S. Y. Zain, “Analysis of Consumer Purchase Patterns on Handphone Accessories Sales Using FP-Growth Algorithm,” Proc. Int. Conf. Eng. Technol. Soc. Sci. (ICONETOS 2020), vol. 529, no. Iconetos 2020, pp. 149–158, 2021, doi: 10.2991/assehr.k.210421.022.
[17] A. H. Nasyuha et al., “Frequent pattern growth algorithm for maximizing display items,” Telkomnika (Telecommunication Comput. Electron. Control., vol. 19, no. 2, pp. 390–396, 2021, doi: 10.12928/TELKOMNIKA.v19i2.16192.
[18] Mustakim et al., “Market Basket Analysis Using Apriori and FP-Growth for Analysis Consumer Expenditure Patterns at Berkah Mart in Pekanbaru Riau,” J. Phys. Conf. Ser., vol. 1114, no. 1, 2019, doi: 10.1088/1742-6596/1114/1/012131.
[19] N. Ndruru, Y. Syahra, and E. Elfitriani, “Penerapan Metode Fp-Growth Untuk Penjualan Produk Seni Ukir Pada Buulolo Galery,” J-SISKO TECH (Jurnal Teknol. Sist. Inf. dan Sist. Komput. TGD), vol. 5, no. 1, p. 45, 2022, doi: 10.53513/jsk.v5i1.4770.
[20] I. Syukra, A. Hidayat, and M. Z. Fauzi, “Implementation of K-Medoids and FP-Growth Algorithms for Grouping and Product Offering Recommendations,” Indones. J. Artif. Intell. Data Min., vol. 2, no. 2, p. 107, 2019, doi: 10.24014/ijaidm.v2i2.8326.
[21] W. Alfafisabil, B. Arif Dermawan, and T. Nur Padilah, “Penerapan Algoritme Fp-Growth Untuk Menentukan Peletakan Barang Pedagang Sayur,” J. Inform. Polinema, vol. 7, no. 4, pp. 43–48, 2021, doi: 10.33795/jip.v7i4.507.
[22] I. Astrina, M. Z. Arifin, and U. Pujianto, “Penerapan Algoritma FP-Growth dalam Penentuan Pola Pembelian Konsumen pada Kain Tenun Medali Mas,” Matrix J. Manaj. Teknol. dan Inform., vol. 9, no. 1, p. 32, 2019, doi: 10.31940/matrix.v9i1.1036.
[23] S. J. Duha, Y. Syahra, and A. Azlan, “Implementasi Data Mining Untuk Menentukan Pola Penjualan Dimsum Dengan Menggunakan Algoritma Frequent Pattern Growth ( FP-Growth ) Pada Studio Dimsum,” 2019.
[24] J. Infokum, “Implementation of Data Mining Algorithm FP-Growth in Milk Sales in PT. Asia Jaya Together Using Association Rule Method,” vol. 10, no. 2, pp. 870–879, 2022.
[25] I. Pendidikan, U. Pembangunan, and N. Veteran, “Aplikasi Product Bundling untuk Mendukung Pelaksanaan Asosiasi,” no. November 2020, 2021.
[26] P. M. Hasugian, F. Halawa, and D. R. Kartghaiyab, “Jurnal Mantik Pertumbuhan Pola yang Sering untuk Memprediksi Pola Kantor,” vol. 5, no. 36, pp. 2709–2719, 2022.
[27] W. Wisda and M. Mashud, “Designing an Application for Analyzing Consumer Spending Patterns Using the Frequent Pattern Growth Algorithm,” J. Penelit. Pos dan Inform., vol. 9, no. 2, p. 151, 2019, doi: 10.17933/jppi.2019.090206.
[28] L. Zahrotun, A. Hendri, S. Jones, R. Selatan, and K. Uad, “Fp-Growth Algorithm For Searching Book Borrowing Transaction Patterns And Study Program Suitability,” Int. J. Inf. Syst. Technol., vol. 5, no. 158, pp. 564–569, 2022.
[29] U. A. Nursyani, “Menggunakan, Penerapan Data Mining Pola, Algoritma Fp-Growth Untuk Menentukan Makanan, Pembelian Produk,” p. 84, 2020.
[30] A. K. Putra, R. Hamonangan, R. Herdiana, E. Tohidi, and U. Hayati, “Penerapan Algoritma FP Growth pada Penjualan Produk Distro Raden Madura,” MEANS (Media Inf. Anal. dan Sist., vol. 7, no. 1, pp. 57–64, 2022, doi: 10.54367/means.v7i1.1858.
Published
2024-01-24
How to Cite
Rhayatun Aviqah, Muhammad, A., & Mandala, E. P. W. (2024). Application of FP-Growth Method in Retail Business Optimization. Jurnal CoSciTech (Computer Science and Information Technology), 4(3), 821-831. https://doi.org/10.37859/coscitech.v4i3.5487
Section
Articles
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