DESIGN OF I-SLA (ISLAMIC LEARNING APPLICATION) AS TAJWEED LEARNING MEDIA BY USING THE SPEECH RECOGNITION TECHNOLOGY
Abstract
Indonesia is a country with the majority of the population converting to Islam, which is more than 87% of the total population of Indonesia. As Muslims who adhere to the teachings of Islam, the teachings that must be understood are tajweed lessons. Tajweed science is the science that studies how to read the Qur'an properly and correctly. Adherents of Islam in Indonesia are still many who do not understand and cannot read the Qur'an properly and correctly. Research noted that there are still about 65% of Indonesian Muslims still blind to the writings of the Qur'an. The importance of learning tajweed science is that it can read precisely, if there are errors in reading the Quran can change its true meaning. Tajweed lessons are commonly obtained through non-formal educational institutions that focus on learning Islam. The current pandemic period causes all learning activities to be limited and difficult, including learning al quran education. Online learning applications today are still rare that develop Quran Education including tajweed science, so people who want to learn the science have not found the right tools. We are planning an application called I-SLA (Islamic learning application). I-SLA is a tajweed learning application that utilizes speech recognition to correct the pronunciation of the user's Quran and provide justification if in pronunciation there is still something wrong, this technology has the ability to exchange information using acoustic signals. In addition, there is a consulting feature of tajweed experts if they feel they want to deepen tajweed knowledge. The design of the application in this study was carried out in a direct manner. The mechanism of this research is made by conducting a literature study for the process of making software needs specifications, followed by the creation of software design with UI / UX, followed by the creation of applications and closed with testing. This process is carried out continuously in accordance with the planning period. The result of this study is the application of I-SLA (Islamic Learning Application) with the aim of users of children, adolescents, and adults who want to deepen tajweed science to improve its pronunciation.Downloads
References
A. H. Ishaq and R. Nawawi, "Ilmu Tajweed Dan Implikasinya Terhadap Ilmu Qira’Ah," Qof, vol. 1, no. 1, pp. 15-24, 2017.
I. R. F. e. al, 2017. [Online]. Available: https://www.uscirf.gov/sites/default/files/Indonesia.chapter.Bahasa Indonesia.translation.pdf.. [Accessed 2021].
D. Sartina and A. Rusdi, "Analisis Implementasi Kegiatan Pemberantasan Buta Aksara Al- Qur ’ an di Indonesia," vol. 3, no. 2, pp. 99-110, 2020.
M. Rupali, S. Chavan and G. S. Sable, "An Overview of Speech Recognition Using HMM," Int. J. Comput. Sci. Mob. Comput, vol. 2, no. 6, pp. 233-238, 2013.
R. Lotfidereshgi and P. Gournay, "Biologically inspired speech emotion recognition," in International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, 2017.
H. Zhao and P. Wang, "A Short Review of Age and Gender Recognition Based on Speech," in IEEE 5th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS), Washington, 2019.
N. M and A. S. Ponraj, "Speech Recognition with Gender Identification and Speaker Diarization," in IEEE International Conference for Innovation in Technology (INOCON), Bangluru, 2021.
S. Klaylat, L. Hamandi, Z. Osman and R. Zantout, "Emotion recognition in Arabic speech," in Sensors Networks Smart and Emerging Technologies (SENSET), Beiriut, Lebanon, 2017.
A. Al-Abdullah, A. Al-Ajmi, A. Al-Mutairi, N. Al-Mousa, S. Al-Daihani, A. S. Karar and S. alkork, "Artificial Neural Network for Arabic Speech Recognition in Humanoid Robotic Systems," in 3rd International Conference on Bio-engineering for Smart Technologies (BioSMART), France, 2019.
Z. Oumaima and A. Meziane, "Modern Arabic speech corpus for Text to Speech synthesis," in IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD), Marrakech, Maroko, 2020.
A. B. Ibrahim, Y. M. Seddiq, A. H. Meftah, M. Alghamdi, S.-A. Selouani, M. A. Qamhan, Y. A. Alotaibi and S. A. Alshebeili, "Optimizing Arabic Speech Distinctive Phonetic Features and Phoneme Recognition Using Genetic Algorithm," IEEE Accesss, vol. 8, pp. 200395 - 200411, 2020.
R. H. Aljuhani, A. Alshutayri and S. Alahdal, "Arabic Speech Emotion Recognition From Saudi Dialect Corpus," IEEE Access, vol. 9, pp. 127081 - 127085, 2021.
J. Ruiz, E. S. Asensio and M. Snoeck, "Learning UI Functional Design Principles Through Simulation With Feedback," IEEE Transactions on Learning Technologies , vol. 13, no. 4, pp. 833 - 846, 2020.
T. Okamoto, N. Kashiwazaki, H. Kambe, J. Sawamoto and H. Koizumi, "Prototype System for User-Interface-Design Recommendation Using Collaborative Filtering," in IEEE 9th Global Conference on Consumer Electronics (GCCE), Kobe, Japan , 2020.
Downloads
Published
Issue
Section
License
All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in JUTI unless they receive approval for doing so from the Editor-in-Chief.
JUTI open access articles are distributed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.











