Azim, Fauzan and Hartati, Yuli and Afrianto, Eko (2023) INCREASE SALES FOR THE BEST SEED CLUSTERING USING RAPID MINER. INCREASE SALES FOR THE BEST SEED CLUSTERING USING RAPID MINER. pp. 1-10.

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Abstract

The superiority of seeds is one of the main factors for farmers. UD. Tiara Bersaudara is a shop that sells seeds and agricultural needs. Poor sales of seeds and fertilizers can hurt UD. Tiara Brothers. To maintain the stock of seeds that are in demand by farmers, sellers must be able to analyze data on the sale of seeds that are in great demand by farmers so as not to cause losses in business. This process is difficult for UD Tiara Brothers to do because it has a lot of sales data. Existing problems can be solved by clustering seed sales data according to most farmers' interests. Clustering is the grouping of data into several clusters based on the level of data similarity. The purpose of the study was to group the best-selling seed data at UD. Tiara Brothers in increasing sales. The clustering method uses the KMeans algorithm by partitioning data into clusters based on the centroid closest to the data. Furthermore, testing by comparing the calculation results with RapidMiner studio software 9.7. The results of this study can later be used as a benchmark for decision support by UD. Tiara Brothers to set marketing strategies for increasing sales. Keywords: Clustering, Data mining, RapidMiner, K-Means

Item Type:	Article
Subjects:	T Technology > T Technology (General)
Divisions:	STI-S1
Depositing User:	Fauzan Azim
Date Deposited:	01 Feb 2024 12:27
Last Modified:	01 Feb 2024 12:27
URI:	http://repo.itsm.ac.id/id/eprint/1181

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