Optimizing Inventory with Frequent Pattern Growth Algorithm for Small and Medium Enterprises
DOI:
https://doi.org/10.30812/matrik.v23i1.3363Keywords:
Data mining, Frequent Patten Growth, Inventory Management, Small medium enterprisestAbstract
The success of a business heavily relies on its ability to compete and adapt to the ever-changing market dynamics, especially in the fiercely competitive retail sector. Amidst intensifying competition, retail business owners must strategically manage product placement and inventory to enhance customer service and meet consumer demand, considering the challenges of finding items. Poor inventory management often results in stock shortages or excess. To address this, adopting suitable inventory management techniques is crucial, including techniques from data mining, such as association rule mining. This research employed the FP-Growth algorithm to identify patterns in product placement and purchases, utilizing a dataset from clothing store sales. Analyzing 140 transactions revealed 24 association rules, comprising rules with 2-itemsets and frequently appearing 3-itemset rules. The highest support value in the final association rules with 2-itemsets was 10% with a confidence level of 56%, and the highest support value in the 3-itemsets was 67% with the same confidence level. Additionally, three rules had a confidence level of 100%. Thus, the association rules generated by the FP-Growth frequent itemset algorithm can serve as valuable decision support for sales of goods in small and medium-sized retail businesses.
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References
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https://www.ejurnal.stmik-budidarma.ac.id/index.php/ijics/article/view/4535
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2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2019, pp. 526–530,
may 2019.
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Control Conference, CCC, vol. 2019-July, pp. 7804–7809, jul 2019.
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Array, vol. 7, p. 100035, sep 2020.
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Patterns Using Apriori Algorithms,†Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika, vol. 6, no. 1, pp. 33–41,
apr 2020. [Online]. Available: https://journals.ums.ac.id/index.php/khif/article/view/8628
[23] C. A. Sugianto and M. N. Astita, “Implementasi Data Mining Dalam Data Bencana Tanah Longsor Di Jawa Barat
Menggunakan Algoritma Fp-Growth,†Techno.Com, vol. 17, no. 1, pp. 91 – 102, nov 2017. [Online]. Available:
https://publikasi.dinus.ac.id/index.php/technoc/article/view/1601
[24] W. N. Setyo and S. Wardhana, “Implementasi Data Mining Pada Penjualan Produk Di Cv Cahaya Setya Menggunakan Algoritma
Fp-Growth,†PETIR, vol. 12, no. 1, pp. 54–63, apr 2019.
[25] A. Maulidah and F. A. Bachtiar, “Penerapan Metode Association Rule Mining untuk Asosiasi Ulasan Terhadap Aspek Tempat
Wisata Jawa Timur Park 3,†Jurnal Teknologi Informasi dan Ilmu Komputer, vol. 8, no. 5, pp. 1029–1038, oct 2021. [Online].
Available: https://jtiik.ub.ac.id/index.php/jtiik/article/view/4417
[26] N. Nurani and H. Gani, “Menggunakan Algoritma Apriori dan Algoritma Centroid Linkage Hierarchical Method (CLHM),â€
ILKOM Jurnal Ilmiah, vol. 9, no. 1, pp. 62–69, 2017.
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Algoritma Apriori (Studi Kasus : Toko Fasentro Fancy),†SANTIKA is a scientific journal of science and technology, vol. 10,
no. 1, pp. 11–17, jul 2020. [Online]. Available: https://jurnal.ummi.ac.id/index.php/santika/article/view/1359
[28] R. Rusnandi, S. Suparni, and A. B. Pohan, “Penerapan Data Mining Untuk Analisis Market Basket Dengan Algoritma
Fp-Growth Pada Pd Pasar Tohaga,†Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI, vol. 9, no. 1, pp. 119–133,
apr 2020. [Online]. Available: https://ejournal.undiksha.ac.id/index.php/janapati/article/view/19349
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[Online]. Available: http://generic.ilkom.unsri.ac.id/index.php/generic/article/view/15
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Journal of Physics: Conference Series, vol. 1456, no. 1. Institute of Physics Publishing, feb 2020.
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method of public transport travel stability,†International Journal of Sustainable Transportation, vol. 15, no. 11, pp. 879–892,
2021. [Online]. Available: https://www.tandfonline.com/doi/abs/10.1080/15568318.2020.1827318
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Reliability Engineering & System Safety, vol. 209, p. 107470, may 2021.
[33] L. Zahrotun, D. Soyusiawaty, and R. S. Pattihua, “The implementation of data mining for association patterns determination
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2023-11-23
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I. Riadi, H. Herman, F. Fitriah, and S. Suprihatin, “Optimizing Inventory with Frequent Pattern Growth Algorithm for Small and Medium Enterprises”, MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer, vol. 23, no. 1, pp. 169–182, Nov. 2023, doi: 10.30812/matrik.v23i1.3363.
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