Identifikasi Tulisan Tangan Huruf Katakana Jepang Dengan Metode Euclidean

Imam Riadi, Abdul Fadlil, Putri Annisa

Abstract


Katakana is one of the traditional Japanese letters used to absorption words from other languanges. In the inttroduction of an object a learning process is needed, which is obtained through the characteristics and experience of observing similar objects after being acquired. But manually it is quite difficult to distinguish between 5 hiragana vowels starting from the image data acquisition process, image processing, feature extraction using Gray Level Co-occurance Matrix (GLCM) while classifiers use the euclidean distance method. The results of the tests carried out showed an accuracy rate of around 78% using the euclidean method.

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References


Darmawan, Deni, “Inovasi Pendidikan”, Remaja Rosdakarya, Jakarta, 2014.

Sapriani G., A. Fadlil dan R. Umar, “Sistem identifikasi Jamur menggunakan Metode Ekstraksi Ciri Statistik Orde 1 dan Klasifikasi Jarak”, Techni.COM, Vol. 16 (4), pp. 378-386, November 2017.

Sudjianto, “Gramatica Bahasa Jepang Modern”, Kesaint Blanc, Jakarta, 2000.

Parastuti, “Metode Praktis Menguasai Kanji”, Genta Group Production, Surabaya, 2015.

Aditama, Oryza dan Arini Y. A, “Sehari Kuasai Bahasa Jepang”, Citra Media, Yogyakarta, 2011.

Ersa T. dan Youllia I. N, “Implementasi Metode Pattern Recognition untuk Pengenalan Ucapan Huruf Hijaiyyah”, JITTER, Vol. 4, No. 1, Desember 2017.

Saifudin dan A. Fadlil, “Sistem Identifikasi Citra Kayu Berdasarkan Tekstur menggunakan Gray Level Coocurrence Matrix (GLCM) dengan Klasifikasi Jarak Euclidean”, SINERGI, Vol, 19 No. 3, pp 181-186, Oktober 2015.

Chairisni L, Tony dan Ardy K., “Pengenalan Karakter Mandarin dengan Backpropagation Neural Network”, Seminar Nasional Teknologi Informasi dan Multimedia, 4.9-25, Februari 2016.

Zaitun, “Sistem Identifikasi dan Pengenalan Pola Citra Tanda Tangan menggunakan Sistem Jaringan Saraf Tiruan (Artificial Neural Network) dengan Metode Backpropagation. Teori dan Aplikasi Fisika, Vol, 3 (2), pp 93-101, July 2015.

Fitri M, dan A. Fadlil, “Sistem Pengenalan Bunga Berbasis Pengolahan Citra dan Klasifikasi Jarak Euclidean”, JITEKI, Vol, 3 No. 2, pp 124-131, Desember 2017.




DOI: http://dx.doi.org/10.30645/j-sakti.v4i1.184

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