IDENTIFIKASI KEASLIAN MATA UANG RUPIAH MENGGUNAKAN METODE ALGORITMA K-NEAREST NEIGHBOR (K-NN)

LUTHFIANTO, THOMI (2017) IDENTIFIKASI KEASLIAN MATA UANG RUPIAH MENGGUNAKAN METODE ALGORITMA K-NEAREST NEIGHBOR (K-NN). Bachelor thesis, UNIVERSITAS MUHAMMADIYAH PURWOKERTO.

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Abstract

The rupiah is a legal tender used in transactions in the Republic of Indonesia and ratified by Law No. 23, 1999. The counterfeit money in the transaction is very inhibiting in economic activities such as: transactions, lending and exchange. Rupiah often counterfeited namely in the form of paper currency. The design of the authenticity of the identification system rupiah using the K-NN method aims to make it easier to identify the authenticity of currency and test the level of accuracy of the method used. The method used in this research is the method of Gray Level Coocurence Matrix (GLCM) as feature extraction method and the method of K-Nearest Neighbor (K-NN) is used in the process of classification and identification. The testing phase uses the data as many as 18 images currencies. The results showed 100% accuracy rate for the value of k = 1, 77.78% to the value of k = 3, and 55.56% to the value of k = 5. The highest accuracy rate in identifying the authenticity of the currency system occurs when the value of k = 1 is 100%.

Item Type: Thesis (Bachelor)
Additional Information: Pembimbing: M. Taufig Tamam, S.T.,M.T. dan Dian Nova Kusuma Hardani, S.T., M.Eng.
Uncontrolled Keywords: Identification, Rupiah, Feature extraction, K-NN (K-Nearest Neighbor), Gray Level Coocurence Matrix (GLCM)
Subjects: H Social Sciences > HG Finance
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Fakultas Teknik > Teknik Elektro
Depositing User: Danarto Kh
Date Deposited: 30 Oct 2017 04:20
Last Modified: 30 Oct 2017 04:20
URI: http://repository.ump.ac.id/id/eprint/5048

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