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All Journal Majalah Ilmiah Teknologi Elektro Jurnal Sains dan Teknologi CESS (Journal of Computer Engineering, System and Science) Jurnal Ilmiah Teknologi Informasi Asia Jurnal Pilar Nusa Mandiri Jurnal Teknologi Informasi dan Komputer SINTECH (Science and Information Technology) Journal Matrik : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer jurnal teknik informatika dan sistem informasi International Journal of Engineering and Emerging Technology INSERT: Information System and Emerging Technology Journal Prosiding SNAST Jurnal Krisnadana Jurnal Krisnadana Jurnal aplikasi IPTEK
I Gusti Ayu Agung Diatri Indradewi
Universitas Pendidikan Ganesha
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences

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Journal : Jurnal Ilmiah Teknologi Informasi Asia

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Jaringan Syaraf Tiruan LVQ Berbasis Parameter HSV dalam Penentuan Uang Rupiah Palsu I Gusti Ayu Agung Diatri Indradewi; Made Suci Ariantini
Jurnal Ilmiah Teknologi Informasi Asia Vol 13 No 1 (2019): Volume 13 Nomor 1 (8)
Publisher : LP2M INSTITUT TEKNOLOGI DAN BISNIS ASIA MALANG

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Abstract

ABSTRACT. Counterfeit money when viewed at a glance has the exact same physical with the original money issued by Bank Indonesia. To prevent unintentional transactions using counterfeit money, the government has socialized the 3D method (Visible, Feelable, and Endangered). In addition, in institutions directly related to finance such as banking, as well as on-site shopping have started using a counterfeit money scanner that utilizes ultraviolet light. The lack of this tool requires the accuracy of the human eye to determine genuine or fake money. Determination of authenticity of Rupiah banknotes can be done by using the pattern classification method one of which can be accommodated by artificial neural networks. LVQ (Learning Vector Quantization) performs supervised learning to classify a pattern. The feature of banknotes in HSV (Hue Saturation Value) color space is extracted in this proposed technique. The features that have been obtained are further classified using LVQ to determine the authenticity of the Rupiah banknotes. Keywords: counterfeit money; Rupiah banknotes; LVQ; HSV
Co-Authors Adnyana, I Ketut Widhi I Gde Prayoga Wibawa I Gede Mahendra Darmawiguna I Kadek Andika Putra I Kadek Wahyu Dananjaya I ketut Gede Darma Putra I Ketut Resika Arthana I Md. Dendi Maysanjaya I Putu Agung Bayupati Komang Pramayasa Laurensia Anjelina Tutosili Arakian Made Diah Arista Devi Made Suci Ariantini Ni Luh Pangestu Widya Sari Ni Luh Wiwik Sri Rahayu Ginantra Ni Putu Sri Mulyani Ni Wayan Wardani Saraswati, Ni Wayan Sumartini Wardani, Ni Wayan Wayan Gede Suka Parwita