Implementasi Optical Character Recognition (OCR) Pada Masa Pandemi Covid-19


  • Athiyah Luthfi Firdaus Politeknik Negeri Sriwijaya
  • M. Syamsu Kurnia Politeknik Negeri Sriwijaya
  • Tia Shafera Politeknik Negeri Sriwijaya
  • Wahyu Istalama Firdaus Faculty of Islamic Studies, International University of Aprica - Sudan Nort Aprica



Abstract Many documents must be processed and scanned digitally, especially during this pandemic, physical documents often have to be reprocessed using word processing applications. This process takes a lot of time especially if the document is damaged, lost and does not have a copy. This can be overcome by using the Optical Character Recognition (OCR) algorithm. OCR converts letter images into computer-recognized ASCII characters. Image files are relatively larger than their ASCII text files. From the existing problems, the researchers tried to find a solution by creating an OCR application program to simplify the process. The created OCR program is successfully used to scan or scan a physical document if the document is lost or damaged, and can save time on document creation, processing and typing.   Keywords: Algorithm, Optical Character Recognition, ASCII


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How to Cite

Ali Firdaus, Kurnia, M. S. ., Shafera, T. ., & Wahyu Istalama Firdaus. (2021). Implementasi Optical Character Recognition (OCR) Pada Masa Pandemi Covid-19. JUPITER: Jurnal Penelitian Ilmu Dan Teknologi Komputer, 13(2), 188–194.