Analysis of Data Mining Using K-Means Clustering Algorithm for Product Grouping
DOI:
https://doi.org/10.47738/ijiis.v3i1.3Keywords:
Data mining, K-Means algorithm, Clustering, Stock.Abstract
Rizki Barokah Store is one of the stores that every day sell a variety of basic materials of daily necessities such as food, drinks, snacks, toiletries, and so on. However, some problems occur in the Rizki Barokah Store is often a build-up of product stocks that resulted in the product has expired. This is due to an error in making decisions on the product stock. In addition to these problems, with the amount of sales data stored on the database, the store has not done data mining and grouping to know the potential of the product. Whereas data-processing technology can already be done using data mining techniques. To overcome the period of the land, the technique used in data mining with the clustering method using the algorithm K-means. With the use of these techniques, the purpose of this research is to grouping products based on products of interest and less interest, advise on the stock of products, and know the products of interest and less demand.References
Bauer, J.C., Kotouc, A.J., Rudolph, T., 2012. What constitutes a good assortment? A scale for measuring consumers' perceptions of an assortment offered in a grocery category. J. Consum. Serv. 19 (1), 1126.
Bezawada, R., Balachander, S., Kannan, P.K., Shankar, V., 2009. Cross-category effects of aisle and display placements: a spatial modeling approach and insights. J. Mark. 73 (3), 99117.
Binninger, A.-S., 2008. Exploring the relationships between retail brands and consumer store loyalty. Int. J. Retail Distrib. Manag. 36 (2), 94110.
Bond, C., Thilmany, D., Keeling Bond, J., 2008. Understanding consumer interest in product and process-based attributes for fresh produce. Agribusiness 24 (2), 231252.
Brunk, K.H., 2010. Exploring origins of ethical company/brand perceptions - a consumer perspective of corporate ethics. J. Bus. Res. 63 (3), 255262.
Charton-Vachet, F., Lombart, C., 2015. New conceptual and operational approach to the link between individual and region: regional belonging. Rech. Appl. Mark. 30 (1), 5075.
Chernev, A., Hamilton, R., 2009. Assortment size and option attractiveness in consumer choice among retailers. J. Mark. Res. 46 (3), 410420.
Chin, W.W., Dibbern, J., 2010. An introduction to a permutation based procedure for multi-group PLS analysis: results of tests of differences on simulated data and a cross cultural analysis of the sourcing of information system services between Germany and the USA. In: Vinzi, V.E., Chin, W.W., Henseler, J., Wang, H. (Eds.), Handbook of Partial Least Squares: Concepts, Methods and Applications. Springer Handbooks of Computational Statistics, New York, pp. 171193.
Coelho do Vale, R., Matos, P.V., Caiado, J., 2016. The impact of private labels on consumer store loyalty: an integrative perspective. J. Retail. Consum. Serv. 28, 179188.
Collins-Dodd, C., Lindley, T., 2003. Store brand and retail differentiation: the influence of store image and store brand attitude on store own brand perceptions. J. Retail. Consum. Serv. 10 (6), 345352.
de Wulf, K., Odekerken-Schrer, G., Goedertier, F., van Ossel, G., 2005. Consumer perceptions of store brands versus national brands. J. Consum. Mark. 22 (4), 223232.
Deselnieu, O.C., Constanigro, M., Souza-Monteiro, D.M., McFadden, D.T., 2013. A metaanalysis if geographical indication food valuation studies: What drives the premium for origin-based labels? J. Agric. Resour. Econ. 38 (2), 204219.
Dick, A.S., Basu, K., 1994. Customer loyalty: toward an integrated conceptual framework. J. Acad. Mark. Sci. 22 (2), 99113.
Ferndez-Ferr, P., Bande-Vilela, B., 2015. Attitudes and reactions of Galician (Spanish) consumers towards the purchase of products from other regions. Glob. Bus. Econ. Rev. 17 (2), 131150.
Lee, W.J.T., Cheah, I., Phau, I., Teah, M., Elenein, B.A., 2016. Conceptualising consumer regiocentrism: examining consumers' willingness to buy products from their own region. J. Retail. Consum. Serv. 32, 7885.
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