Analysis of Scooter Spare Parts Sales at Harapan Indah Scooter Using the K-Means Algorithm
DOI:
https://doi.org/10.35870/ijsecs.v4i3.3026Keywords:
K-Means, Analysis, Spare Parts, Scooter, Sales, Clustering, Marketing StrategyAbstract
: K-means clustering algorithm has been used in this study to analyze the sales performance of scooter spare parts at Harapan Indah Scooter. By using the K-means method, researchers can classify products into 3 categories according to their sales volume. The purpose of this analysis is to identify patterns in sales data and compare the characteristics of each product group. Researchers can see the output from the previous step shows three clusters: Low, Medium, and High Sales. Associating products with these categories Empowers improved tracking of sales movements and fluctuation trends in product options. The findings of this study can be useful in the field of inventory management and to develop marketing strategies to increase product sales. Companies can find out which products fall into which categories and therefore can make better decisions on how to manage stock and promotional efforts. These findings are the first step to maintain and improve sales performance and optimize Harapan Indah Scooter business
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