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All Journal International Journal of Electrical and Computer Engineering MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Jurnal Teknologi dan Manajemen Informatika International Journal of Advances in Intelligent Informatics Lentera Pustaka Knowledge Engineering and Data Science Jurnal Tadris Matematika Turast: Jurnal Penelitian dan Pengabdian JMB : Jurnal Manajemen dan Bisnis Jurnal Pendidikan dan Kewirausahaan Letters in Information Technology Education (LITE) BUDGETING : Journal of Business, Management and Accounting Jurnal Penelitian Mahasiswa Ilmu Sosial, Ekonomi, dan Bisnis Islam (SOSEBI) Jurnal Pariwisata Tourista Journal of Economics and Policy Studies (JEPS) Inspiration: Jurnal Teknologi Informasi dan Komunikasi Reinforce: Journal of Sharia Management Jurnal Penelitian Mahasiswa Ilmu Sosial, Ekonomi, dan Bisnis Islam (SOSEBI) An-Nisbah: Jurnal Ekonomi Syariah JPS (Jurnal Perbankan Syariah) Jurnal Tadris Matematika Jurnal Pariwisata Tourista Smatika Jurnal : STIKI Informatika Jurnal
Nadia Roosmalita Sari
Universitas Islam Negeri Sayyid Ali Rahmatullah Tulungagung
Religion Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences Other

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Journal : knowledge engineering and data science

 1 
Signature Pattern Recognition using Kohonen Network Sari, Nadia Roosmalita; Sarwani, Mohammad Zoqi; Aulia, Yudha Alif; Mahmudy, Wayan Firdaus
Knowledge Engineering and Data Science
Publisher : citeus

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Abstract

A signature is a special form of handwriting that used for human identification process. The current identification process is extremely ineffective. People have to manually compare signatures with the previously stored data. This study proposed SOM Kohonen algorithm as the method of signature pattern recognition. This method has able to visualize high-dimensional data. The image processing method is used in this study in pre-processing data phase. The accuracy of SOM Kohonen was 70 %, indicated the method used was good enough for pattern recognition.
Co-Authors Agus Firmansyah Aji Prasetya Wibawa Aldi Nurwana Alfina Karismatul Laila Amalia Nuril Hidayati ANISA ZUHRIA SUGEHA Annas Ribab Sibilana Aris Fauzi Nurfarichi Arya Wisang Tri Saputra Aulia, Aura Aulia, Yudha Alif Choiril Seilila Nur Cholifah Elta Sonalitha Gayatri Dwi Santika Maria Ulfa Marita Ayu Oktaviani Mashudi Maya Valentina Yulanda Meilia Wulandari Moh. Zoqi Sarwani Mohamad Ajib Markaban Mahiri Mohammad Zoqi Sarwani, Mohammad Zoqi Muhammad Fahri Bachtiar Munawiroh, Nurul Fitriana Nabila Amalia Karima Nurhana Nufita Sari Nurizal Dwi Priandani Restu Fajar Maulida Rusyadi, Refky S, M Zaki Sandy, Yohana Avelia Setiawan, Terrance Jovanus Terrance Jovanus Setiawan Wayan Firdaus Mahmudy Yudha Alif Aulia