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dc.contributor.advisorHizriadi, Ainul
dc.contributor.advisorLubis, Muhammad Safri
dc.contributor.authorRahmah, Rahma
dc.date.accessioned2024-02-19T03:17:24Z
dc.date.available2024-02-19T03:17:24Z
dc.date.issued2023
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/91420
dc.description.abstractMusabaqah Tilawatil Quran (MTQ) is an Islamic art competition that focuses on conveying the messages of the Al-Qur'an in everyday life by reading, memorizing, writing, understanding, interpreting, and conveying the guidance of the Al-Qur'an. This competition has 25 branches, each of which has criteria for registrants, as evidenced by attaching an Identity Card document. Identity Card is the official identity of a resident as proof of identity that is valid throughout Indonesia. At the MTQ registration at the Medan City level, they still use the manual method, namely filling out the registration form and attaching the relevant original documents. This registration process only lasts for 3 days, with details of registrants from 21 sub-districts throughout Medan City. Therefore, to overcome this problem, it is necessary to have a system in place that can assist officials in the registration process and assist the committee in validating Identity Card documents for prospective MTQ participants. Seven data fields are read, namely NIK, name, gender, place of birth, date of birth, job, and address. This study uses the Optical Character Recognition (OCR) method with the template matching algorithm. In this reserch, the total dataset used was 132 images, with 25 images used as training data and 107 images used as test data. The method used produces an accuracy rate of 93.29%.en_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectOptical Character Recognitionen_US
dc.subjectDigital Image Processingen_US
dc.subjectTemplate Matchingen_US
dc.subjectCompetition of Reciting Qur’anen_US
dc.subjectIdentity Carden_US
dc.subjectSDGsen_US
dc.titlePengenalan Data KTP Calon Peserta MTQ Tingkat Kota Medan Menggunakan Metode Optical Character Recognitionen_US
dc.typeThesisen_US
dc.identifier.nimNIM181402073
dc.identifier.nidnNIDN0127108502
dc.identifier.nidnNIDN0004037508
dc.identifier.kodeprodiKODEPRODI59201#Teknologi Informasi
dc.description.pages93 Halamanen_US
dc.description.typeSkripsi Sarjanaen_US


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