Market Basket Analysis with Apriori Algorithm and Frequent Pattern Growth (Fp-Growth) on Outdoor Product Sales Data

Nurmayanti, Wiwit Pura; Sastriana, Hanipar Mahyulis; Rahim, Abdul; Gazali, Muhammad; Hirzi, Ristu Haiban; Ramdani, Zuhut; Malthuf, Muhammad

doi:10.51601/ijersc.v2i1.45

Cited by 17 publications

(14 citation statements)

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“…This research falls into the association technique category, which examines the relationship between items in customer transactions. Association rule mining is one of the most powerful data mining tools for analyzing large amounts of data by identifying correlations or patterns between objects (Nurmayanti, W. P., et. al, 2021).…”

Section: Methodsmentioning

confidence: 99%

Designing Animal Market Layout by Considering Consumer Purchase Behaviors

Setiawan,

Fadlika,

Qurtubi

2024

Spek Ind

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Sales transaction data contains rich information and can support company competitiveness. However, this transaction data is initially unstructured and needs to be processed into insight for the company's decision-making. Market Basket Analysis (MBA) is a data mining technique that can be used to study consumer purchasing patterns. This paper presents a case study on using an MBA to obtain consumer buying behaviors where the result of the MBA is then used to design a proposed layout. The animal market governed by Yogyakarta Province, known as Pasty Market, was used as a case study. Pasty Market is an animal trading center with around 30,000 square meters area and 255 sellers that sell various kinds of animals such as songbirds, dove birds, rabbits, cats, dogs, iguanas, turtles, ornamental chickens, and ornamental fish as well as animal food and cage. With this enormous area and number of merchants, the layout of Pasty Market becomes crucial in customer satisfaction. Association rules result in four priority levels in proposed layout planning, where these rules are used to determine the proximity among items in the proposed layout. These four levels of priority, ordered by the confidence value, are (1) “songbirds” and “bird food” (confidence value 91%), (2) “ornamental fish” and “turtles” (confidence value 80-90%), (3) “birdcages” and “songbirds” (confidence value 70-80%), and (4) “cats” and “dog” as well as “birdcages” and “birds” (confidence value 50-70%). Association rules were then used as the basis for determining the proximity value between merchants, where the proximity rules were then used for designing a proposed layout.

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Section: Methodsmentioning

confidence: 99%

Designing Animal Market Layout by Considering Consumer Purchase Behaviors

Setiawan,

Fadlika,

Qurtubi

2024

Spek Ind

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“…also explained that Market Basket Analysis is a modeling method based on the idea that when a consumer buys a certain set of goods, the buyer has a higher or lower probability of buying another set of products (Sudrajat & Ermatita, 2021). The purpose of analyzing the buyer's basket on product sales transactions in a market is to be able to find out which products are purchased simultaneously (Supriyono et al, 2021) (Nurmayanti et al, 2021) (Suharjo & Wibowo, 2020). The results of the analysis can provide an overview of consumer behavior by relating to the influence of certain variables.…”

Section: Literature Reviewmentioning

confidence: 99%

Product Sales Promotion Recommendation Strategy with Purchase Pattern Analysis FP-Growth Algorithm

Ismarmiaty¹,

Rismayati²

2023

SinkrOn

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The development of retail business technology is related to the need for management to meet customer demands by using technology. To help make effective sales strategic decisions, it is necessary to optimize the use of information technology on existing sales transaction data. The transaction database that has been stored as a company archive asset can be used for processing information that is useful in increasing product sales and promotions. This study aims to provide an analysis related to the product sales pattern of PT. X in Sumbawa Besar city. PT. X is a retail company that sells distributes daily consumer goods. The algorithm used is Frequent Pattern – Growth which is one of the algorithms in data mining used to find relationships in large data based on the number of occurrences of these data relationships. The Association Rule Mining method can be used in the retail business field, known as Market Basket Analysis. The application used for testing is Rapidminer 9.10. The research stages include: data collection, data preparation, FP-Growth algorithm implementation, result analysis and conclusions. The results of the tests carried out resulted in 819 rules with a total of 85 rules. The results of grouping strong rules based on the combination and number of products that produce information that is expected to be used as recommendations to promote products with discount, cross-selling, up-selling, product bundling and other types of promotions to increase product sales.

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“…Ini merupakan indikator keunggulan suatu barang atau sekumpulan barang sepanjang suatu transaksi. Confidence adalah ukuran kondisional (dalam kondisi tertentu) dari hubungan antara dua faktor [17]. Nilai support untuk satu item diperoleh dengan persamaan 1, sedangkan untuk nilai support dengan dua item diperoleh dengan persamaan 2 [18].…”

Section: Association Rule Minningunclassified

Penerapan Metode Asosiasi Dengan Algoritma FP-Growth Pada Data Transaksi PT John Tampi Group

Indahsari¹

2021

CBIS

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Perkembangan usaha dibidang makanan dari waktu ke waktu semakin meningkat, selalu berkembang dan tidak akan pernah berhenti. Dengan pesatnya pertumbuhan bisnis dibidang makanan, maka timbulah persaingan antar para pemilik bisnis. Usaha dibidang makanan rata-rata tidak membutuhkan modal yang besar tetapi pada kenyataannya investor atau pihak pengembang perlu mengetahui pola penjualannya sehingga dapat menjadi acuan sebagai strategi pemasaran dan penjualan yang efektif dalam pengembangan usahanya ditahap selanjutnya. Tak hanya itu, persaingan dalam dunia kuliner semakin ketat semenjak status pandemi diumumkan. Hal tersebut menambah tantangan dalam persaingan dunia kuliner dalam menentukan strategi yang tepat agar dapat meningkatkan penjualan dan pemasaran produk yang dijual, termasuk melalui penggunaan data penjualan produk. Penerapan metode asosiasi data mining dengan mengimplementasikan algoritma FP-Growth ini dapat membantu dalam menemukan sebuah aturan asosiasi dari data penjualan produk di PT John Tampi Group. Dari hasil pengujian yang dilakukan diperoleh rule dengan nilai confidence terbaik mencapai 100%.

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Market Basket Analysis with Apriori Algorithm and Frequent Pattern Growth (Fp-Growth) on Outdoor Product Sales Data

Cited by 17 publications

References 0 publications

Designing Animal Market Layout by Considering Consumer Purchase Behaviors

Designing Animal Market Layout by Considering Consumer Purchase Behaviors

Product Sales Promotion Recommendation Strategy with Purchase Pattern Analysis FP-Growth Algorithm

Penerapan Metode Asosiasi Dengan Algoritma FP-Growth Pada Data Transaksi PT John Tampi Group

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