ANALISIS DATA MINING MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING UNTUK PENGELOMPOKAN PRODUK PADA TOKO RIZKI BAROKAH

Humaidi, Bahrul (2019) ANALISIS DATA MINING MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING UNTUK PENGELOMPOKAN PRODUK PADA TOKO RIZKI BAROKAH. Other thesis, Universitas Amikom Purwokerto.

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Abstract

Toko Rizki Barokah is one of the stores which sells many products such as food, drink, snacks, etc. However, there are several problems occur in Rizki Barokah store. There is often a buildup of product stocks which results in products expiring. That problem occurs because of an error in making decisions on product stock. In addition to these problems, with a large amount of sales data stored in database, the store has not carried out data mining and grouping to determine the potential of the product. Even though data processing technology can be done using Data mining techniques. To resolve these problems, the technique used in data mining with clustering methods using the k-means algorithm. By using this technique, the purpose of the research is to group products based on products that are interest and less desirable, giving advice about product stock, and knowing products that are interest and less desirable

Item Type: Thesis (Other)
Additional Information: Dosen Pembimbing: Mohammad Imron, M.Kom., dan Uswatun Hasanah, S.Kom., M.Eng.
Uncontrolled Keywords: Data mining, K-means algorithm, Clustering, Stock
Subjects: H Social Sciences > HD Industries. Land use. Labor
H Social Sciences > HG Finance
T Technology > T Technology (General)
Divisions: Fakultas Ilmu Komputer > Sistem Informasi
Depositing User: UPT Perpustakaan Pusat Universitas Amikom Purwokerto
Date Deposited: 15 Sep 2020 08:26
Last Modified: 15 Sep 2020 08:26
URI: http://eprints.amikompurwokerto.ac.id/id/eprint/211

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