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All Journal Jurnal Ilmiah Sinus
Soniya, Septi Vera
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Computer Science & IT

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A Learning Vector Quantization Approach to Handwritten Mandarin Numeral Recognition Soniya, Septi Vera; Wahyu Utami, Yustina Retno; Wijayanto, Hendro
Jurnal Ilmiah SINUS Vol 24, No 1 (2026): Vol. 24 No. 1, Januari 2026
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v24i1.1073

Abstract

Numbers 1 to 10 in Mandarin are also studied in the Mandarin language learning process as basic numbers. Mandarin numbers have a different shape from Arabic numbers and Roman numerals. So it is necessary to recognize the pattern of mandarin numbers to help the learning process of mandarin. Therefore, the purpose of this research is to build an application that applies the Learning Vector Quantization method for handwriting pattern recognition of Mandarin numbers. System testing methods used are Black Box and Confusion Matrix for accuracy testing methods. The application that has been made produces an accuracy of 92.80% with a total of 250 test data. Keyword: Learning Vector Quantization, Pattern Recognition, Mandarin Numbers.
Co-Authors Wijayanto, Hendro Yustina Retno Wahyu Utami