PENERAPAN DATA MINING UNTUK EVALUASI DATA PENJUALAN MENGGUNAKAN METODE CLUSTERING DAN AGORITMA HIRARKI DIVISIVE STUDI KASUS TOKO SEMBAKO PUJO

ADE EKA FEBRIYANTI, NPM 2009100001 (2024) PENERAPAN DATA MINING UNTUK EVALUASI DATA PENJUALAN MENGGUNAKAN METODE CLUSTERING DAN AGORITMA HIRARKI DIVISIVE STUDI KASUS TOKO SEMBAKO PUJO. Tugas_Akhir (Artikel) INFORMATIKA Universitas Labuhanbatu, 12 (3). pp. 594-601. ISSN 2615-1855 (e-ISSN)/ 2303-2863 (p-ISSN)

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Abstract

The larger a company, the longer the company stands, the more companies have branches, of course, the greater the data owned. These data can be consumer data, purchase data, sales data, payroll data, and many other data. All data will usually be stored in a database. But many companies, even the Information Technology (IT) division, do not realize how valuable the pile of old data generated by the company in transactions and activities. Data mining is the study of methods for generating knowledge or finding patterns for processing data. So it's not just information, it's knowledge. Data Mining has several methods including clustering. Clustering is a well known and widely used method in data mining. The main purpose of this clustering method is to Group a number of data/objects into clusters (groups) so that the cluster will contain the same data as each group. In this study, Divisive hierarchy algorithm is used to form clusters. From the pattern obtained is expected to provide knowledge for the company Media World Pekanbaru as a supporting tool to take policy. Keywords : Divisive Hierarchy Algorithm, Clustering, Data Mining.

Item Type: Article
Uncontrolled Keywords: Divisive Hierarchy Algorithm, Clustering, Data Mining.
Subjects: Z Bibliography. Library Science. Information Resources > ZA Information resources
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
Divisions: Fakultas Sains Dan Teknologi > Sistem Informasi
Depositing User: Unnamed user with email repository@ulb.ac.id
Date Deposited: 12 Sep 2024 09:18
Last Modified: 12 Sep 2024 09:18
URI: http://repository.ulb.ac.id/id/eprint/1093

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