KLASIFIKASI PENJUALAN SEPEDA MOTOR HONDA MENGGUNAKAN METODE K-NEAREST NEIGHBOR

Aprilia, Elsia; Astried, Astried

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dc.contributor.author	Aprilia, Elsia
dc.contributor.author	Astried, Astried
dc.date.accessioned	2019-01-31T02:50:20Z
dc.date.available	2019-01-31T02:50:20Z
dc.date.issued	2019-01-31
dc.identifier.other	wahyu sari yeni
dc.identifier.uri	http://repository.unri.ac.id/handle/123456789/9594
dc.description.abstract	This research aims to classify of motorcycle sales at CV HONDA MAS dealer using the K-nearest neigbor (KNN) classification methods. In the classification process, the atributes used are the type and sale of motorcycles, and the data used is the last six months, from July to December in 2017, six types of motorcycle using as training data and four types of motorcycle as testing that they will get the classification result that the type of motorcycle that is very sellable is the type of BEAT STREET and VARIO 150 CBS. The results obtained from the study are the accuracy of the classification 100% and error 0%, using coufusion matrix	en_US
dc.description.provenance	Submitted by wahyu sari yeni (ayoe32@ymail.com) on 2019-01-31T02:50:20Z No. of bitstreams: 1 Repository Elsia Aprilia.pdf: 1231116 bytes, checksum: e1a5bd599e1d30c0fee46ad239990df0 (MD5)	en
dc.description.provenance	Made available in DSpace on 2019-01-31T02:50:20Z (GMT). No. of bitstreams: 1 Repository Elsia Aprilia.pdf: 1231116 bytes, checksum: e1a5bd599e1d30c0fee46ad239990df0 (MD5) Previous issue date: 2019-01-31	en
dc.description.sponsorship	Jurusan Ilmu Komputer Fakultas Matematika dan Ilmu Pengetahuan Alam	en_US
dc.language.iso	en	en_US
dc.publisher	wahyu sari yeni	en_US
dc.subject	classification	en_US
dc.subject	data mining	en_US
dc.subject	k-nearest neighbor	en_US
dc.title	KLASIFIKASI PENJUALAN SEPEDA MOTOR HONDA MENGGUNAKAN METODE K-NEAREST NEIGHBOR	en_US
dc.type	Article	en_US