ANALYSIS OF KIM 2 MEDAN PRODUCT SALES SYSTEM PATTERNS USING THE FP-GROWTH ALGORITHM
Abstract
Increasing revenue is one measure of a company's success that must be monitored. A company certainly hopes that there will be revenue growth every year which is stated in the revenue target. Companies must provide the best service strategy to markets and customers, but companies are always constrained by determining this strategy.
The aim of this research is to design a system using the FP-Growth method to recommend which products sell more/sold simultaneously in retail form at CV. Kharisma Jaya. The problem faced is that it is difficult to determine recommendations for products that are often sold or purchased simultaneously in retail form and the large number of products that are produced but whose sales are not yet optimal. Therefore, the FP-Growth method is here to provide a solution.
With this system, it is hoped that it can solve problems by making the FP-Growth method an alternative solution for companies in minimizing losses and increasing sales.Keywords
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D. Hartanti and V. Atina, “Product Stock Supply Analysis System with FP Growth Algorithm,” vol. 5, no. 4, pp. 1312–1320, 2023, doi: 10.51519/journalisi.v5i4.580.
W. Hadinata, J. Waruwu, and T. Hermanto, “Journal of Sisfotek Global Comparison of Apriori and Frequent Pattern Growth Algorithm in Predicting The Sales of Goods ARTICLE HISTORY,” Issn, vol. 11, no. 2, pp. 89–96, 2021, [Online]. Available: http://journal.stmikglobal.ac.id/index.php/sisfotek
M. Hafizh, T. Novita, D. Guswandi, H. Syahputra, and L. Mayola, “Implementasi Data Mining Menggunakan Algoritma Fp-Growth Untuk Menganalisa Transaksi Penjualan Ekspor Online,” J. Teknol. Dan Sist. Inf. Bisnis, vol. 5, no. 3, pp. 242–249, 2023, doi: 10.47233/jteksis.v5i3.847.
R. L. Najmi, M. Irsyad, F. Insani, A. Nazir, and . P., “Analisis Pola Asosiasi Data Transaksi Penjualan Minuman Menggunakan Algoritma FP-Growth dan Eclat,” Build. Informatics, Technol. Sci., vol. 5, no. 1, pp. 0–7, 2023, doi: 10.47065/bits.v5i1.3592.
D. Agushinta R. and M. M. Putri, “Association Rule Analysis of Fp-Growth Algorithm on Drug Purchase Patterns,” J. Ilm. Teknol. dan Rekayasa, vol. 27, no. 3, pp. 196–212, 2022, doi: 10.35760/tr.2022.v27i3.4626.
AHMAD ADRI, “Implementasi Data Mining Menggunakan Algoritma Apriori,” Pap. Knowl. . Towar. a Media Hist. Doc., vol. 6, no. 2, pp. 1–77, 2021.
A. Wadanur and A. A. Sari, “Implementasi Algoritma Apriori dan FP-Growth pada Penjualan Spareparts,” Edumatic J. Pendidik. Inform., vol. 6, no. 1, pp. 107–115, 2022, doi: 10.29408/edumatic.v6i1.5470.
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.
L. N. Rani, S. Defit, and L. J. Muhammad, “Determination of Student Subjects in Higher Education Using Hybrid Data Mining Method with the K-Means Algorithm and FP Growth,” Int. J. Artif. Intell. Res., vol. 5, no. 1, pp. 91–101, 2021, doi: 10.29099/ijair.v5i1.223.
D. K. Pramudito, T. W. Nurdiani, B. Winardi, A. Y. Rukmana, and K. Kraugusteeliana, “Website User Interface Design Using Data Mining Task Centered System Design Method At National Private Humanitarian Institutions,” Indones. J. Artif. Intell. Data Min., vol. 6, no. 2, p. 281, 2023, doi: 10.24014/ijaidm.v6i2.25814.
I. Riadi, H. Herman, F. Fitriah, and S. Suprihatin, “Optimizing Inventory with Frequent Pattern Growth Algorithm for Small and Medium Enterprises,” MATRIK J. Manajemen, Tek. Inform. dan Rekayasa Komput., vol. 23, no. 1, pp. 169–182, 2023, doi: 10.30812/matrik.v23i1.3363.
N. Suhandi and R. Gustriansyah, “Marketing Strategy Using Frequent Pattern Growth,” J. Comput. Networks, Archit. High Perform. Comput., vol. 3, no. 2, pp. 194–201, 2021, doi: 10.47709/cnahpc.v3i2.1039.
E. E. Putri, B. S. Hasugian, A. Info, and D. Mining, “Pattern Analysis of Drug Procurement System With FP-Growth Algorithm,” vol. 7, no. 1, pp. 70–79, 2022, doi: 10.15575/join.v7i1.841.
Y. P. Bunda, “Algoritma FP-Growth Untuk Menganalisa Pola Pembelian Oleh-Oleh (Studi Kasus Di Pusat Oleh-Oleh Ummi Aufa Hakim),” Riau J. Comput. Sci., vol. 06, no. 01, pp. 34–44, 2020.
E. Munanda and S. Monalisa, “Penerapan Algoritma Fp-Growth Pada Data Transaksi Penjualan Untuk Penentuan Tataletak,” J. Ilm. Rekayasa dan Manaj. Sist. Inf., vol. 7, no. 2, pp. 173–184, 2021, [Online]. Available: http://ejournal.uin-suska.ac.id/index.php/RMSI/article/view/13253
G. Guntoro and C. P. Hutabarat, “Penerapan Data Mining Association Rule Menggunakan Algoritma FP-Growth Untuk Persediaan Sparepart Pada Bengkel,” J. Komtika (Komputasi dan Inform., vol. 5, no. 2, pp. 112–121, 2021, doi: 10.31603/komtika.v5i2.6251.
A. H. Nasyuha, Zulham, and I. Rusydi, “Implementation of K-means algorithm in data analysis,” Telkomnika (Telecommunication Comput. Electron. Control., vol. 20, no. 2, pp. 307–313, 2022, doi: 10.12928/TELKOMNIKA.v20i2.21986.
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.
Q. D. Rosyadi and A. W. Utami, “Implementasi Algoritma Frequent Pattern Growth untuk Menentukan Pola Pembelian Konsumen pada Toko Tanaman Berbasis Website,” vol. 04, no. 03, pp. 107–114, 2023.
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
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