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KLASIFIKASI JENIS BATU AKIK MENGGUNAKAN METODE JARINGAN SYARAF TIRUAN

IRAWAN, HANDY (2016) KLASIFIKASI JENIS BATU AKIK MENGGUNAKAN METODE JARINGAN SYARAF TIRUAN. S1 thesis, UNIVERSITAS SULTAN AGENG TIRTAYASA.

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Abstract

Classification of milk agate gemstone, tropical manolia agate gemstone, moss agate gemstone, lavender agate gemstone, synthetical tropical manolia agate gemstone, synthetical moss agate gemstone, synthetical lavender agate gemstone based on each of colour and texture. Because of that, this research have to making the classification of milk agate gemstone, tropical manolia agate gemstone, moss agate gemstone, lavender agate gemstone, synthetical tropical manolia agate gemstone, synthetical moss agate gemstone, synthetical lavender agate gemstone using aritificial neural network algorithm based on colour and texture. Agates image that using for research object are obtained by gemstone seller in cilegon and serang, banten . consist of 15 type of milk agates, tropical manolia agates, lavender agates, moss agates and the synthetical ones. Classification of agates gemstone are using point of colour and texture that type of gemstones. Point of colour and texture that has been obtained are used for classfication substance of each gemstone with neural artificial network. The result of classification of nine times examined indicate of first hidden layer is 20, second hidden layer is 10, and output is 8, 95% accurate. By means, colour and texture that obtained be able to classification of the type of agates gemstone. Keyword : Agates, Neural artificial Network

Item Type: Thesis (S1)
Contributors:
ContributionContributorsNIP/NIM
Thesis advisorPramudyo, Anggoro SuryoUNSPECIFIED
Thesis advisorSupriyanto, SupriyantoUNSPECIFIED
Uncontrolled Keywords: Agates, Neural artificial Network
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: 03-Fakultas Teknik > 20201-Jurusan Teknik Elektro
Depositing User: Perpustakaan Pusat
Date Deposited: 30 Mar 2022 11:44
Last Modified: 30 Mar 2022 11:44
URI: http://eprints.untirta.ac.id/id/eprint/11103

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