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All Journal Jurnal Studi Ilmu-ilmu Al-Qur'an dan Hadis Journal of Applied Data Sciences
Yusuf Rahman
Syarif Hidayatullah State Islamic University Jakarta
Religion Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Languange, Linguistic, Communication & Media Other

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CNN-LSTM with Multi-Acoustic Features for Automatic Tajweed Mad Rule Classification Nenny Anggraini; Yusuf Rahman; Achmad Nizar Hidayanto; Husni Teja Sukmana
Journal of Applied Data Sciences Vol 7, No 1: January 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i1.1062

Abstract

The rules of mad recitation in the Qur’an are a crucial aspect of tajwīd, governing the lengthening of vowel sounds that affect both meaning and recitational accuracy. Despite its importance, there is currently no reliable automatic system capable of classifying mad rules based on voice input. This study proposes a deep learning-based approach using a hybrid Convolutional Neural Network–Long Short-Term Memory (CNN-LSTM) model to automatically classify mad rules from Qur’anic recitations. The research follows the CRISP-DM methodology, covering data understanding, preparation, modeling, and evaluation stages. Acoustic features were extracted from 3,816 annotated audio segments of Surah Al-Fātiḥah, combining Mel-Frequency Cepstral Coefficients (MFCC), Chroma, Spectral Contrast, and Root Mean Square (RMS) to represent phonetic and prosodic attributes. The CNN layers captured spatial characteristics of the spectrum, while LSTM layers modeled temporal dependencies of the audio. Experimental results show that the combination of all four features achieved an accuracy of 97.21%, precision of 95.28%, recall of 95.22%, and F1-score of 95.25%. These findings indicate that multi-feature integration enhances model robustness and interpretability. The proposed CNN-LSTM framework demonstrates potential for practical deployment in voice-based tajwīd learning tools and contributes to the broader field of Qur’anic speech recognition by offering a systematic, ethically grounded, and data-driven approach to mad classification.
Reassessing the Originality of Tarjumān al-Mustafīd: Dāūd al-Rūmī’s Contributions and the Scholarly Significance of the First Tafsīr in The Archipelago Muhammad Amin; Yusuf Rahman; Zulkifli
Jurnal Studi Ilmu-ilmu Al-Qur'an dan Hadis Vol. 26 No. 1 (2025): Januari
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/qh.v26i1.5818

Abstract

Peter Riddell and Salman Harun have conducted studies on the originality of Tafsīr Tarjumān al-Mustafīd. However, their study was based on a limited sample (the 16th and 30th juz), which resulted in the omission of several significant aspects. This study seeks to broaden the scope of research by employing a more comprehensive methodological approach, specifically textual criticism and comparative analysis. Textual criticism is used to assess the authenticity of the text, identify its primary reference sources, and evaluate the interpolations found within the work. Additionally, this study employs comparative analysis by juxtaposing Tarjumān al-Mustafīd with notable classical commentaries, including al-Jalālain, al-Baiḍāwī, and al-Khāzin. Furthermore, an analysis of colophons and variations in writing style is conducted to elucidate the role of each contributor. This study presents three key findings. First, both Riddell and Harun concur that this work is not a translation of al-Baiḍāwī but instead of al-Jalālain. This study aligns with Harun’s assertion that Tarjumān al-Mustafīd is an orally transmitted translation of al-Jalālain, supplemented with quotations from al-Khāzin and additional interpolations, particularly in the 29th and 30th juz, which were primarily influenced by Dāūd al-Rūmī. Secondly, this study reveals that Dāūd al-Rūmī played a crucial role in the preservation and textual modifications of the work, despite its attribution to ʿAbd al-Raʾūf. Third, the scholarly significance of Tarjumān al-Mustafīd  is demonstrated through its role as the first tafsīr in the archipelago to document diverse qirā’āt traditions, reflect the vernacularization of Malay culture, and serve as a vital Qur'ānic guide for the general Muslim populace in 17th-century Aceh.
Co-Authors Achmad Nizar Hidayanto Husni Teja Sukmana Muhammad Amin Nenny Anggraini Zulkifli