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Mahmud Yunus
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Optimalisasi Teknologi OCR dalam Digitalisasi Manuskrip Hadis: Studi Akurasi dan Tantangan Linguistik Arab Klasik Umar, Zeindri Abu; Yunus, Mahmud
Hamidah: Jurnal Ilmu Hadis Vol. 1 No. 1 (2025): Hadith and Digitalization
Publisher : Yayasan Albahriah Jamiah Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64691/6vn20070

Abstract

The digitization of hadith manuscripts is a strategic step in preserving and disseminating Islamic intellectual treasures. Still, this process faces significant challenges related to the accuracy of classical Arabic text recognition using Optical Character Recognition (OCR) technology. The complexity of Arabic orthography, the diversity of calligraphic styles, and the presence of diacritics and ligatures typical of classical manuscripts often lead to errors in character recognition, which impact the reliability of the digitization results. This study aims to analyze the accuracy of various OCR systems in reading hadith manuscripts, identify the main linguistic constraints that cause distortions in letter and word recognition, and develop an optimization model based on linguistic and computational integration to improve system performance. Using a mixed methods approach, this study combines quantitative analysis of text processing results from several popular OCR platforms with qualitative analysis of linguistic error patterns that appear in classical Arabic manuscripts. The results show that the accuracy of OCR for hadith manuscripts varies widely, ranging from 68% to 91%, depending on image quality, calligraphy type, and the system’s ability to recognize morphological forms and punctuation typical of classical Arabic. The most common errors occur in letters with graphemic similarities, such as “س” and “ش,” as well as in words with full vowels or complex Iʻrāb markings. An optimization model developed through a combination of machine learning and Arabic morphological analysis has been shown to improve accuracy by up to 94%, while accelerating the post-correction process for digital texts. In conclusion, the digitization of hadith manuscripts requires an integrative approach between OCR technology and an understanding of classical Arabic linguistics to ensure the validity, efficiency, and sustainability of digital religious manuscript preservation.
Co-Authors Abd. Rasyid Syamsuri Achmad Rony Syafrudin Ahmad Abdullah Al Kahfi, Khafid Al-Qodri, Haifa Tasya Andika Satyapratama, Andika Andrean, Muhammad Antonius Duty Susilo Apit Dulyapit Aris Syaifuddin Arita Marini Aulia, Nisa Tri Azidin, Raja Mohammed Firhad Raja Cahyati, Tiara Nur Deny Kristianto Pamuji Dian Wahyuningsih Diana Puspita Sari Dinayanti, Aulia Dinny Wahyu Widarti Dulyapit, Apit Dwi Prastiyo Hadi, Dwi Prastiyo Eka Yuniar Endang Wuryandini, Endang Fajri, Hardian Mei Firgol Muttaqien, Moh. Hasan Fitri, Afifah Aulia Ghulam, Adilahmad Harry Soekotjo Dachlan Haryono Haryono Helga Ayuddya kiswara, Helga Ayuddya Heri Purnama Pribadi Ifadha, Rahma Diva Imam Bukhori Irmantara Subagio Irsyad, Taufik Iva Sarifah jannah, nurul kholifatul Jauharul Maknunah Kayla, Kayla Khambali, Khambali Khoerul - Anwar Khoerul Anwar Kusumawati, Farida Linda Ika Sari Linda Zakiah M. As’ad Maharani, Reisha Ayu Mawaddah, Shafda Sadida Mira Amelia Amri, Mira Amelia Mochamad Husni Muarrifah, Sholehatul Muhammad Miqdad Mufadhdhal Muhammad Syaipul Hayat Nabilah, Manda Risti Nidya Chandra Muji Utami Noora Qotrun Nada, Noora Qotrun Nur Hayati Nurul Hidayat Oktaviani, Alifiyah Dyah Olivia Andiana Purnomo Budi Santoso Puspa, Riyani Retno Sundari Risma Renata Rita Alfin Rumlaklak, Ryan Markus Thobias Sa'diyyah, Salwa Sanjoyo, Bandung Arry Santoso, Khafidz Bayu Sigit Setyowibowo Sinyanyuri, Sonya Siregar, Yulia Elfrida Yanty Slamet Raharjo Sri Esti Trisno Sami Sri Suneki Sudarminto, Hadi Priya Sugiarto, Dinta Sujito Sujito Sumarno . Surip, Prayitno Suwardi, Rahma Dwi Amalia Trianingsih, Marini Triarsuci, Damara Umar, Zeindri Abu Usman, Herlina Widjianto Widjianto, Widjianto Yadi Mulyadi Yarmi, Gusti Yolla, Yolla Sekar Asti Yudhistianing Anugerah Ayu, Agashi Yuniarto, Andryas Yurniwati