Penerapan Data Mining Pengaturan Pola Tata Letak Barang Pada Berkah Swalayan Untuk Strategi Penjualan Menggunakan Algoritma Apriori

Abstract

Toko Berkah Swalayan adalah toko yang bergerak di bidang ritel atau eceran. Dalam meningkatkan strategi penjualan ada beberapa cara yang dapat dilakukan oleh Toko Berkah Swalayan salah satunya adalah dengan melakukan pola tata letak barang. Pengaturan tata letak barang dagangan di rak toko sangat mempengaruhi minat konsumen dalam berbelanja. Akan tetapi dalam pengaturan tata letak barang pada Toko Berkah Swalayan masih mengalami kendala yaitu kurangnya pengetahuan pihak Toko Berkah Swalayan dalam pengaturan tata letak barang.Oleh karena itu dibutuhkan suatu sistem yang dapat membantu Toko Berkah Swalayan dalam menentukan pengaturan tata letak barang agar dapat meningkatkan strategi penjualan yaitu dengan membangun sebuah sistem Penerapan Data Mining Pengaturan Pola Tata Letak Barang Pada Berkah Swalayan Untuk Strategi Penjualan Menggunakan Algoritma Apriori. dengan dibangunnya sistem ini diharapkan dapat membantu pihak Berkah Swalayan dalam mengatasi permasalahan yang terjadi.Hasil dari penelitian adalah, Pertama dapat meningkatkan strategi penjualan Berkah Swalayan melalui data penjualan, Kedua sistem ini dapat membantu meningkatkan target penjualan pada Berkah Swalayan dan yang Ketiga sistem ini dapat membantu dalam menentukan tata letak barang dengan lebih baik

Data Mining Implementation For Product Transaction Patterns Using Apriori Method

“…Previous research that the author uses as a reference explained in table 1 First conclusion can improve Berkah Self-service sales strategy through sales data, these two systems can help increase sales targets at Berkah Selfservice and the third this system can help in determining the layout of goods better (Marsono, 2019) Association analysis with the Apriori Algorithm can find association rules for the combination of sales of bakery products, and find out which bakery products are most in demand by customers (Harahap & Sulindawaty, 2020). Data Mining It is the process of searching for hidden values from the database with the aim of obtaining information that is not known manually (Mai et al, 2022).…”

“…After going through the data mining process, the calculation of the selected test data will proceed to the next stage, namely calculations using the Apriori algorithm. Another understanding of the a priori algorithm is the basic algorithm proposed in 1994 by Agrawal & Srikant with the aim of determining frequent item sets for Boolean association rules (Marsono, 2019).There are 2 benchmarks used, namely support and confidence which functions to determine whether or not the association is important. Support is a supporting value, namely the value of item combinations in the database, while confidence is a certainty value, namely the strength of the attachment between items in association rules (Misriani, 2019).…”

Item Layout for Building Materials Management with Apriori Algorithm

“…In the Apriori algorithm, it determines the possible candidates by paying attention to the minimum support and minimum confidence [18]. The concept of the Apriori Algorithm is:…”

“…Data mining is often applied in sales such as frequent itemset search. In previous research, there was the application of data mining for setting the layout pattern of goods at a supermarket blessing for sales strategies using the Apriori Algorithm, where the application of data mining in determining the layout of goods can help in setting the layout pattern of goods for sales strategies [4]. Data research mining by applying the Apriori Algorithm is also used for the layout of goods [5].…”

“…According to Zayida Mustafa (2021) the advantages of the a priori algorithm are simpler and can handle large data. While other algorithms have weaknesses in memory usage when the amount of data is large, of course it affects the number of items processed and the work structure and implementation are easy to understand [18].…”