PENERAPAN DATA MINING BERDASARKAN ASOSIASI MENGGUNAKAN ALGORITMA APRIORI DALAM PENENTUAN POLA BELANJA KITCHEN APPLIANCES

  • Cahyani Budihartanti (1*) Sistem Informasi STMIK Nusa Mandiri

  • (*) Corresponding Author
Keywords: Association Rules, Apriori Algorithm, RapidMiner, Data Mining

Abstract

Data cannot be separated in the activities of a company, the daily, both large companies, small and personal. But sometimes there are many companies that do not maximize to utilize existing data and not infrequently there is an ignore, especially if the data is outdated and no longer needed. In this study, the authors attempt to explore these data more useful and can give you information and knowledge for the company. Data to be explored is the data on sales, ie how to use transaction data available on the company can figure out the pattern/behavior of consumers towards a product that is bought by the method of determining customer buying patterns of your kitchen appliances. To be able to produce accurate information is required in determining spending patterns of historical transaction data processing with data mining techniques. In this research can be done by applying the algorithm associated with the use of apriori. Apriori algorithm is able to analyze and discover relationships between the similarity of thegoods purchased items. Apriori algorithm can be evaluated by applying a minimum value ofsupport and confidence, using software RapidMiner results from the application of a priorialgorithm is proven accurate in determining the pattern of spending your kitchen appliances.

References

Agrawal, R. dan et all. (2011). Mining Association Rules between Sets of Items in Large Databases, Diakses pada tanggal 20 Desember 2011 (http://rakesh.agrawalfamily.com/papers/sigmod93assoc.pdf).

Amiruddin, dan et all. (2011). Penerapan Association Rule Mining Pada Data Nomor Unik Pendidik Dan Tenaga Kependidikan Untuk Menemukan Pola Sertifikasi Guru, diakses pada tanggal 20 Desember 2011 (http:// digilib.its.ac.id/public/ITS-Master10465-Paper.pdf)

Bramer, Max. (2007). Principles of Data Mining. London: Springer.

Gorunescu, Florin (2011). Data Mining: Concepts, Models, and Techniques. Verlag Berlin Heidelberg: Springer

Han, J. dan Kamber, M. (2006). Data Mining Concept and Tehniques. San Fransisco: Morgan Kauffman.

Kusrini, dan Luthfi, Emha. Taufiq. (2009). Algoritma Data Mining. Yogyakarta: Andi Publishing.

Larose, Daniel. T. (2005).Discovering Knowledge in Data. New Jersey: John Willey & Sons, Inc.

Lee, Finn. S. dan Santana, Juan (2010). Data Mining : Meramalkan Bisnis Perusahaan. Jakarta: Elex Media Komputindo

Liao. (2007). Recent Advances in Data Mining of Enterprise Data: Algorithms and Application. Singapore: World Scientific Publishing

Oktoria, Rahma, dan et all, (2010) Content Based Recommender System
Published
2013-03-15
How to Cite
Budihartanti, C. (2013). PENERAPAN DATA MINING BERDASARKAN ASOSIASI MENGGUNAKAN ALGORITMA APRIORI DALAM PENENTUAN POLA BELANJA KITCHEN APPLIANCES. Jurnal Techno Nusa Mandiri, 10(1), 20-28. Retrieved from http://ejournal.nusamandiri.ac.id/index.php/techno/article/view/556
Article Metrics

Abstract viewed = 105 times
PDF downloaded = 95 times