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All Journal ILMU USHULUDDIN Jurnal Indo-Islamika Refleksi: Jurnal Kajian Agama dan Filsafat JOURNAL OF QUR'AN AND HADITH STUDIES Jurnal Ushuluddin Al-Jami'ah: Journal of Islamic Studies ALQALAM Jurnal Studia Insania Jurnal Studi Ilmu-ilmu Al-Qur'an dan Hadis TSAQAFAH SUHUF: Jurnal Pengkajian Al-Qur'an dan Budaya Journal of Applied Data Sciences Journal of Instructional and Development Researches Al-Kawakib Al Burhan: Jurnal Kajian Ilmu dan Pengembangan Budaya Al-Qur'an Jurnal Riset Agama Jurnal Al-Ilmi Golden Ratio of Taxation Studies Journal of Asian Wisdom and Islamic Behavior
Yusuf Rahman
Universitas Islam Negeri Syarif Hidayatullah
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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CNN-LSTM with Multi-Acoustic Features for Automatic Tajweed Mad Rule Classification Anggraini, Nenny; Rahman, Yusuf; Hidayanto, Achmad Nizar; Sukmana, Husni Teja
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.
Bahasa Inggris Rifqah Najwa Azizah; Yusuf Rahman
Jurnal Kawakib Vol 6 No 2 (2025): Islamic Studies
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/kwkib.v6i2.324

Abstract

This study examines the issue of religious authorities intervening through fatwas, which often have implications for restricting individual freedom. This problem arises because fatwas, which are intended to be moral guidelines and non-binding laws, are frequently used in practice as tools and instruments of social control, thereby limiting individual autonomy. This research aims to explore the concept of freedom in the context of religious authority by examining the idea of freedom in Islam. Methodically, this study employs a qualitative research method in library research. Meanwhile, data analysis was carried out in a descriptive-analytical mannerThe results of this study emphasize the importance of freedom as a human right, and there should be no intervention from other parties, including fatwas issued by religious authorities. The intervention of the authorities is limited to protection from crime and hypocrisy, including the issuance of fatwas; it is necessary to consider the right to liberty and justice of every individual. The conclusion of this study reveals that opening the reason of freedom means placing human beings as an end, not as an object or tool of other parties' interests. This study contributes to the fields of theology and philosophy, particularly in liberal Islamic thought, which emphasizes individual freedom as ande critical study of freedom in the context of religious authority.
Pandangan Sahl al-Tustarī terhadap Al-Qur’an dalam Tafsīr Al-Qur’ān al-’Aẓīm Ahmad Ali Fikri; Yusuf Rahman
Refleksi: Jurnal Kajian Agama dan Filsafat Vol. 22 No. 1 (2023): Refleksi
Publisher : Faculty of Ushuluddin Syarif Hidayatullah State Islamic University, Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/ref.v22i1.25233

Abstract

This article examines the views of Sahl al-Tustarī on the Qur’an. As the first Sufi Mufasir who write a Sufi commentary of the Qur’an, al-Tustarī has laid down the principles of Sufistic interpretation of the Qur’an. This research is a library study that its data is based on written sources. The main source of this research is Tafsīr al-Qur’an al-’Aẓīm by Sahl al-Tustarī. The research approach used is a structural approach initiated by Robert Scholes with an interpretive and comparative framework. This paper shows that among al-Tustarī’s views on the Qur’an which are important and the basis for his Sufistic interpretation is that the Qur’an is an Arabic holy book and has four levels of meaning; ẓāhir, bāṭin. ḥadd and maṭla’.
Co-Authors Abraham Zakky Zulhazmi Achilleus Hermawan Astyanto Achmad Nizar Hidayanto Ahmad Ali Fikri Ahmad Yani ahmad yani Akbar, Faris Maulana Al Walid, Kholid Amin, Muhammad Amran Amran Andi Faisal Bakti & Venny Eka Meidasari Andika Andika Andika Andika Asri asri Deendarlianto Eka Mulyo Yunus Ervan Nurtawab Humaidi Humaidi Husni Teja Sukmana Indarto Indarto Jannah, Saadatul M. Taufiq Hidayat Medha, Akbar Yuga Adhikara Muhammad Arif Munawir Umar Muria Khusnun Nisa Musaddiq, Musaddiq Mustabyirah, Mustabsyirah Nenny Anggraini, Nenny Nisa, Muria Khusnun Nurwijayanti Nuryaman Nuryaman Rifqah Najwa Azizah Sabo Jamilu Saidu Saifunnuha, Mukhamad Triandana, Jenita Wildan Imaduddin Muhammad, Wildan Imaduddin Yunus, Eka Mulyo Zaenal Khalid Zahasfan, Alvian Iqbal Zulkifli Zulkifli