KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer
Volume 5 Nomor 1 Tahun 2023

Validasi Otomatis Dokumen Transkrip Nilai Mahasiswa Menggunakan Metoda Optical Character Recognition

Hatala, Zulkarnaen (Unknown)
Thariq , Ahmad (Unknown)
Hudzaly, Muhammad (Unknown)
Burhan, Muhammad Ikhwan (Unknown)



Article Info

Publish Date
11 Jul 2023

Abstract

At the Ambon State Polytechnic, students' semester grade reports are still manually typed. This causes frequent typo errors which can result in the invalidity of the document, let alone incorrect grades, student identification numbers and many other label values. Here a java application has been implemented to detect these errors. This application is primarily intended for officials of the Head of Study Program, Head of the Department before signing and validating the report. Officials who legalize it will be greatly assisted because tedious validation work can be replaced by computers. The validation process is carried out by utilizing the optical character recognition technique from the open source library Tesseract-OCR. From the experimental results the verification process can be improved by using OCR specific on specific regions of interest (ROI) after using template matching method from OpenCV. The consideration of the Levehnstein distance in the comparison of label values against the reference database also improves the success rate of the algorithm. The database used has been tested for about 800 grade report documents, with successful verification result above 90%.

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Journal Info

Abbrev

KAKIFIKOM

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Other

Description

KAKIFIKOM (Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer) dengan Izin LIPI nomor eISSN : 2716-3261 merupakan Artikel hasil riset dari tugas akhir mahasiswa yang dijurnalkan dan dipakai untuk menunjang kegiatan akademik di Universitas secara khusus dan terbuka untuk Umum dalam bidang Ilmu ...