PENERAPAN DATA MINING DALAM DUNIA BISNIS MENGGUNAKAN METODE CLUSTERING
DOI:
https://doi.org/10.24256/joins.v2i2.1472Abstract
Abstract: the basic principles of using data mining in a Business Intelligence (BI) environment to gain knowledge about business. This of course raises business competition between companies. Data mining is intended to provide solutions for decision makers in the business world to develop their business. To see the business world that is most sought after by the wider community. The benefits facilitate the analysis of large data and help provide information on data that is processed. One method contained in data mining used in this study is the Clustering method. The results of this study are the applications that are built can help the business world as a picture in making decisions in order to get the pattern of sales or marketing of products.
Â
Keywords: Data mining, Business Intelligence, Clustering.
Â
Abstrak: prinsip dasar penggunaan data mining dalam lingkungan Business Intellegence (BI) untuk mendapatkan pengetahuan tentang bisnis. Hal tersebut tentu saja menimbulkan persaingan bisnis antar perusahaan. Data mining dimaksudkan untuk memberikan solusi bagi para pengambil keputusan didunia bisnis untuk mengembangkan bisnis mereka. Untuk melihat dunia bisnis yang paling banyak diminati masyarakat luas. Manfaatnya mempermudah analisis data yang besar dan membantu memberikan informasi data yang diolah. Salah satu metode yang terdapat dalam data mining yang digunakan dalam penelitian ini adalah metode Clustering (Pengelompokkan). Hasil dari Penelitian ini adalah Aplikasi yang dibangun dapat membantu dunia bisnis sebagai gambaran dalam pengambilan keputusan dalam rangka mendapatkan pola penjualan atau pemasaran produk.
 Kata Kunci: Data mining, Business Intellegence, Clustering.
DAFTAR PUSTAKA
Kahaner, L. (1997). Competitiveintelligence: how to gather, analyze, and use information to move your business to thetop. Simon & Schuster.
Liautaud, B., & Hammond, M. (2000). Ebusinessintelligence: turning informationinto knowledge into profit. McGraw-HillProfessional.
Luhn, H. P. (1958). A business intelligencesystem, IBM Journal of Research andDevelopment, 2(4), 314―319.
Chang, E., Dillon, T., & Hussain, F. (2006).Trust and reputation for service-orientedenvironments: technologies for buildingbusiness intelligence and consumerconfidence.
Cody, W. F., Kreulen, J. T., Krishna, V., &Spangler, W. S. (2002). The integration ofbusiness intelligence and knowledge.
Dhar, V., & Stein, R. (1997). Seven methods for transforming corporate data into business intelligence. Prentice Hall Upper Saddle River, NJ.
Downloads
Published
Issue
Section
Citation Check
License
Authors who wish to publish and disseminate their papers with the Journal Of Institution And Sharia Finance shall agree to the publishing rights set by Journal Of Institution And Sharia Finance Authors understand that they shall assign publication right to as part of the process upon acceptance for publication. Authors agreed that they will transfer certain copyrights to Journal Of Institution And Sharia Finance. Consecutively, authors still retain some rights to use and share their own published articles without written permission from Journal Of Institution And Sharia Finance.
Authors granted Journal Of Institution And Sharia Finance. these following rights; (1) the right to publish and provide the manuscripts in all forms and media for the purpose of publication and dissemination, (2) the authority to enforce the rights in the manuscript, for example in the case of plagiarism or in copyright infringement.
Journal Of Institution And Sharia Finance will follow COPE’s Code of Conduct and Best Practice Guidelines for Journal Editors to protect the research results and takes allegations of any infringements, plagiarisms, ethical issues, and frauds should those issues arise. The manuscript is attributed as authors' work, and are properly identified.
