Implementasi Algoritma LSTM pada Aplikasi Optical Character Recognition Berbasis Website Menggunakan Tesseract OCR

Penulis

  • Alpha Fausta Ikrar Setyadi Universitas Kristen Satya Wacana
  • Yeremia Alfa Susetyo Universitas Kristen Satya Wacana

Kata Kunci:

Pengenalan Karakter Optik, Long Short-Term Memory, Tesseract

Abstrak

Pengolahan dokumen digital yang lebih praktis membuat berbagai instansi dan organisasi beralih dokumen fisik menjadi digital. Namun proses ekstraksi data dari dokumen fisik secara manual membutuhkan usaha yang tidak mudah dan rentan akan terjadinya kesalahan input akibat human error. Teknologi Optical Character Recognition (OCR) dapat menjadi solusi dari permasalahan ini. OCR digunakan untuk mengenali huruf atau karakter yang ada pada suatu gambar, untuk kemudian disimpan menjadi data teks pada komputer. Pada penelitian ini, dilakukan implementasi teknologi OCR pada aplikasi berbasis website dengan metode Long Short-Term Memory. Berdasarkan pengujian akurasi diperoleh rata-rata nilai error pada tingkat karakter sebesar 6.56% dan pada tingkat kata sebesar 9,98%. Dari hasil yang didapat menunjukkan bahwa penerapan teknologi OCR dengan metode Long Short-Term Memory pada aplikasi website dapat menjadi solusi yang tepat dalam proses ekstraksi data dari dokumen fisik.

Referensi

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Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 6 No. 2 April 2023

Unduhan

Diterbitkan

2023-04-30

Cara Mengutip

Setyadi, A. F. I., & Susetyo, Y. A. (2023). Implementasi Algoritma LSTM pada Aplikasi Optical Character Recognition Berbasis Website Menggunakan Tesseract OCR. Jurnal Teknologi Sistem Informasi Dan Aplikasi, 6(2), 63–71. Diambil dari https://openjournal.unpam.ac.id/index.php/JTSI/article/view/29235

Terbitan

Vol 6 No 2 (2023): Jurnal Teknologi Sistem Informasi dan Aplikasi

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Article

Lisensi

Hak Cipta (c) 2023 Alpha Fausta Ikrar Setyadi, Yeremia Alfa Susetyo

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