Wardhani, Rahayu Kusumaningtyas Paramita (2023) Klasterisasi Produk Penjualan Menggunakan Model Perhitungan RFM dan Algoritma K-Means Pada Primskystore. Undergraduate thesis, UPN Veteran Jawa Timur.
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Abstract
Maximum data processing will produce quality information which can then be used in decision making for business owners. A proper business strategy, especially promotion, is important for shop owners so that the business can continue to grow. Primskystore is an online store engaged in retail where the process of promoting sales products is felt to be less than optimal. In the promotion of sales products, it is still centered on one type of product. This can result in other products being left behind or not known enough by buyers. Therefore, a clustering of sales products is needed to be able to determine the right promotion strategy. This research aims to create a data mining model by creating a web-based application that applies the K-means clustering method and RFM model. Using the K-Means clustering method and RFM model can help stores to cluster sales products in stores. This web-based data mining application uses the Python programming language, Mysql as a database and system model design using the Unified Modeling Language. The result of this research is a web-based data mining application to display the results of clustering sales products in stores. The system is able to display the results of the RFM calculation model and K-Means clustering, which is a total of 3 clusters with data in cluster 0 large 30%, cluster 1 7.5%, and cluster 2 by 62.5%. With this website-based data mining application, it can help stores in determining the right promotional business strategy.
| Item Type: | Thesis (Undergraduate) | ||||||||||||
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| Subjects: | T Technology > T Technology (General) > T58.6-58.62 Management Information Systems | ||||||||||||
| Divisions: | Faculty of Computer Science > Departemen of Information Systems | ||||||||||||
| Depositing User: | Rahayu Kusumaningtyas Paramita Wardhani | ||||||||||||
| Date Deposited: | 07 Jun 2023 01:48 | ||||||||||||
| Last Modified: | 07 Jun 2023 01:48 | ||||||||||||
| URI: | http://repository.upnjatim.ac.id/id/eprint/14591 |
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