El-Mujtama: Jurnal Pengabdian Masyarakat
Vol. 4 No. 2 (2024): El-Mujtama: Jurnal Pengabdian Masyarakat

Penerapan Aplikasi Klasifikasi Hukum Tajwid Menggunakan Image Processing

Fabyan Kindarya (Politeknik Elektronika Negeri Surabaya)
Entin Martiana Kusumaningtyas (Politeknik Elektronika Negeri Surabaya)
Aliridho Barakbah (Politeknik Elektronika Negeri Surabaya)
Desy Intan Permatasari (Politeknik Elektronika Negeri Surabaya)
M. Udin Harun Al Rasyid (Politeknik Elektronika Negeri Surabaya)
Nana Ramadijanti (Politeknik Elektronika Negeri Surabaya)
Arna Fariza (Politeknik Elektronika Negeri Surabaya)
Iwan Syarif (Politeknik Elektronika Negeri Surabaya)
Umi Sa'adah (Politeknik Elektronika Negeri Surabaya)
Ferry Astika Saputra (Politeknik Elektronika Negeri Surabaya)
Ahmad Syauqi Ahsan (Politeknik Elektronika Negeri Surabaya)
Irwan Sumarsono (Politeknik Elektronika Negeri Surabaya)
Andhik Ampuh Yunanto (Politeknik Elektronika Negeri Surabaya)
Renovita Edelani (Politeknik Elektronika Negeri Surabaya)
Grezio Arifiyan Primajaya (Politeknik Elektronika Negeri Surabaya)
Selvia Ferdiana Kusuma (Politeknik Elektronika Negeri Surabaya)



Article Info

Publish Date
09 Feb 2024

Abstract

Tajwid is an important science that regulates the way of reading the verses of the Al-Qur’an properly. Learning Tajwid means knowing the meaning that corresponds to the correct recitation. Learning to read the Al-Qur’an tends to be done traditionally in a place of learning or by calling a teacher to the house. Learning in this way has some drawbacks, such as the limited availability of trained and competent teachers because not all areas have sufficient access to these teachers. Dependence on schedules and locations can be a constraint for students with limited mobility or busy schedules. The role of the teacher is still important in learning tajwid, especially in providing effective explanations, guidance, and feedback. However, to overcome these shortcomings, integration with independent and technology-based learning methods can help improve the accessibility, flexibility, and quality of tajwid learning. The classification of tajwid laws using image processing allows users to see the results of inputting images of verses of the Al-Qur’an into the type of detected nun sukun tajwid and how to recite it. The initial stage of this system in detecting tajwid laws from uploaded images is the input of images by users, which can be done in two ways, namely by directly taking pictures using a smartphone camera or uploading images from the gallery. This is followed by the OCR process to detect the Arabic text contained in the image and provide diacritics for that Arabic text. Finally, letter classification is carried out after nun sukun and classification of tajwid laws contained in accordance with the detected letters after nun sukun. This system has an accuracy rate of 92.18% from the classification results that have been carried out.

Copyrights © 2024






Journal Info

Abbrev

elmujtama

Publisher

Subject

Religion Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences

Description

El-Mujtama: Jurnal Pengabdian Masyarakat is a scientific journal about community service programs and activities as part of the implementation of the Tri Dharma of Higher Education. This journal is published three times a year every January, May and September, managed by Lembaga Publikasi Ilmiah ...