Maos Qur’an: Android Device Technology for Primary School Students to Khataman Juz 'Amma Online

  • Authors

    • Sugito Muzaqi
    • Cahyo Darujati
    • Bimo Gumelar
    • Sri WiwohoMudjanarko
    • M. IkhsanSetiawan
    https://doi.org/10.14419/ijet.v8i1.9.26690
  • Speech Recognition Technology, primary school, android, Juz 'Amma

  • The globalization in the IT world is very influential on the behavior of someone who is looking for identity in everyday life one is in the area of AL QUR’AN which is now very rarely people interested to make AL QUR’AN reading material, rote or finish. Collaboration between IT with AL QUR’AN at the moment is mostly done as a breakthrough to make perfect beings. Use of this application is based on the fact that when primary school at this time like to play android device, then the researchers tried to make an Maos AL QUR’AN application that could be used by primary school learn Al Quran start read, memorize and finish with easy and fun way. The purpose of the research was to design a software and make desktop applications on a Smartphone could be a medium of learning the AL QUR’AN applications based on android is offline to facilitate all activities in reading, memorizing and finishing Juz 'Amma.  Juz 'Amma is juz last thirty juz of AL-QUR’AN. The main characteristic is the short surah, with beautiful language charming, touching hearts or rebuke accompanied by rational arguments capable of convincing reasoning that has not been churned up by ambiguous way of thinking or subjectivity view. Speech Recognition Technology (Automatic Speech Recognition or Computer Speech Recognition), could convert spoken words into text. The term "voice recognition" was used to refer to the recognition system had to be trained for a particular speaker, as a special case for the introduction of most desktop software.

     

     

  • References

    1. [1] Jurafsky, D., & Martin, J. H. (2009). Speech and Language Processing : An Introduction To Natural Language Processing, Computational Linguistics, Speech Recognition. 2 nd Edition. Upper Saddle River, N. J. : Pearson Prentice Hall.

      [2] Kusumadewi, S. (2003).Artificial Intelligence (TeknikdanAplikasinya).Yogyakarta :GrahaIlmu.

      [3] Mains, R. (2001). White Paper On Speech Recognition In The SESA Call Center. University of Maryland.Diperoleh 2 Juli 2016 dari http://www.angelfire.com/poetry/shweta_ip/SRWhitepaper.pdf.

      [4] Marietha, S., Purwarianti, A., & Lestari, D., P. (2012).SMSsuara Application with Automatic Speech Recognition and Text to Speech on Mobile Phone.Diperoleh 3 Juli 2016 dari http://stei.itb.ac.id/jurnal/index.php/stei-S1/article/download/73/67.

      [5] Patel, I., &Rao, Y., S. (2010). Speech Recognition Using HMM With MFCC – An Analysis Using Frequency Spectral Decomposition Technique.Diperoleh 4 Juli2016 dari http://airccse.org/journal/sipij/papers/1210sipij09.pdf.

      [6] Pressman, R., S. (2010). Software Engineering A Practitioner’s Approach. 7th Edition. New York : The McGraw-Hill Companies, Inc.

      [7] Ronando, E., &Irawan, M., I. (2012).PengenalanUcapan Kata sebagaiPengendaliGerakan Robot LenganSecara Real-Time denganMetode Linear Predictive Coding-NeuroFuzzy.Diperoleh 3 Juli 2016 dari http://ejurnal.its.ac.id/index.php/sains_seni/article/download/1011/278.

      [8] Russel, S., J., &Norvig, P. (2010). Artificial Intelligence A Modern Approach. 3rd Edition. Upper Saddle River : Prentice Hall.

      [9] Safaat H., N. (2011). PemrogramanAplikasi Mobile Smartphone dan Tablet PC BerbasisAndroid.Bandung :Informatika.

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  • How to Cite

    Muzaqi, S., Darujati, C., Gumelar, B., WiwohoMudjanarko, S., & IkhsanSetiawan, M. (2019). Maos Qur’an: Android Device Technology for Primary School Students to Khataman Juz ’Amma Online. International Journal of Engineering & Technology, 8(1.9), 378-380. https://doi.org/10.14419/ijet.v8i1.9.26690