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All Journal Jurnal Ilmiah Informatika Komputer Jurnal Ilmiah Teknologi dan Rekayasa UG Journal International Journal of Advances in Intelligent Informatics Jurnal Pengabdian Kepada Masyarakat Darma Saskara
Nurma Nugraha
UNIVERSITAS GUNADARMA
Agriculture, Biological Sciences & Forestry Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Social Sciences

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Journal : International Journal of Advances in Intelligent Informatics

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Detection of errors in the Indonesian standard mushaf based on pixels to support accelerated verification Widyaningsih, Tri Wahyu; Madenda, Sarifuddin; Salim, Ravi Ahmad; Nugraha, Nurma
International Journal of Advances in Intelligent Informatics Vol 11, No 4 (2025): November 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v11i4.1820

Abstract

One effort to maintain the validity of the Al-Qur'an manuscript is the analysis and verification of the manuscript by experts (Pentashih). Currently, manuscript verification without translation takes 30 working days. Therefore, to support Pentashih in reviewing the manuscript, technology is needed to expedite the Pentashih process and prevent analysis errors caused by Pentashih fatigue. This study conducts a writing analysis of the target manuscript by referring to the template manuscript, implementing image preprocessing stages, applying SSIM for analysis, and employing the pixel-matching method. This method examines the manuscript's writing by comparing two block images at the pixel level. Block images are produced by preprocessing the manuscript images before image-matching analysis is performed. Image preprocessing comprises: cropping the outer frame, cropping the inner frame, segmenting the page into row images, adjusting margins, aligning image sizes, segmenting rows into block images, and aligning positions between block images. Pixel value differences are calculated at the same positions across each column and row of the template and target block images. Block image positions with pixel values ≥ 200 occur in 5 consecutive columns, adjacent rows with a distance = 1, and an SSIM value ≥ 0.9, both images meet the mismatch criteria. These findings indicate that the proposed approach provides an efficient and accurate solution for automating the verification of the Indonesian Standard Mushaf.
Co-Authors Desti Riminarsih Deviliana, Deviliana Fachry Abda El Rahman Ilmiyati Sari M, Nadhiranisa Shafiy Pribadi, Indah Ayu Putri Prihatiningsih, Siwi Ravi Ahmad Salim Rifki Kosasih Saputra, Meineka Iswan Hadi Sarifuddin Madenda widyaningsih, tri wahyu