Penerapan Sistem Pendeteksian Pemalsuan Tanda Tangan Berbasis Optical Character Recognition (OCR) dan Support Vector Machine (SVM)

Authors

  • Puti Zafania Informatika, Universitas Negeri Padang, Indonesia
  • Hadi Kurnia Saputra Teknik Elektronika, Universitas Negeri Padang, Indonesia
  • Dony Novaliendry Teknik Elektronika, Universitas Negeri Padang, Indonesia
  • Syukhri Syukhri Teknik Elektronika, Universitas Negeri Padang, Indonesia

Keywords:

Deteksi Pemalsuan Tanda Tangan, Optical Character Recognition, Support Vector Machine, Metode Prototyping, Integration Testing

Abstract

Penelitian ini bertujuan mengembangkan sistem deteksi pemalsuan tanda tangan basah pada dokumen resmi dengan menggabungkan Optical Character Recognition (OCR) dan Support Vector Machine (SVM). Data terdiri atas 760 sampel tanda tangan asli dan palsu yang diperoleh dari pemindaian dokumen fisik dan pelabelan kategori. Sistem mendeteksi dan mengekstraksi area tanda tangan menggunakan OCR, lalu mengklasifikasikannya dengan SVM berbasis fitur Histogram of Oriented Gradients (HOG). Pengembangan dilakukan menggunakan metode prototyping dan diuji melalui integration testing. Hasil menunjukkan SVM dengan kernel RBF membedakan tanda tangan asli dan palsu dengan akurasi tinggi. Integrasi OCR dan SVM terbukti efektif serta efisien untuk verifikasi tanda tangan pada dokumen resmi.

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Published

23-08-2025

How to Cite

Zafania, P., Saputra, H. K., Novaliendry, D., & Syukhri, S. (2025). Penerapan Sistem Pendeteksian Pemalsuan Tanda Tangan Berbasis Optical Character Recognition (OCR) dan Support Vector Machine (SVM). Jurnal Pendidikan Tambusai, 9(2), 27589–27597. Retrieved from https://jptam.org/index.php/jptam/article/view/31307

Issue

Vol. 9 No. 2 (2025): Agustus

Section

Articles of Research

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Copyright (c) 2025 Puti Zafania

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