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.

	Text Cover.pdf Download (772kB)
	Text Daftar Isi.pdf Download (378kB)
	Text Abstrak.pdf Download (508kB)
	Image BAB I.pdf Restricted to Registered users only Download (376kB)
	Image BAB II.pdf Restricted to Registered users only Download (847kB)
	Image BAB III.pdf Restricted to Registered users only Download (679kB)
	Image BAB IV.pdf Restricted to Registered users only Download (1MB)
	Image BAB V.pdf Restricted to Registered users only Download (355kB)
	Image Daftar Pustaka.pdf Restricted to Registered users only Download (608kB)
	Text Lampiran.pdf Restricted to Repository staff only Download (3MB)

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

Actions (login required)

View Item