Digital Distributed Mobile Application for Religious Diary and Schedule Management
Abstract
Devices like Smartphones, tablets are a part of our daily life. The growth and spread of smartphones have created new opportunities for religious application developers to develop applications that provide utility and easy access to religious information. In this paper, we are focusing on the development of the digital Quran application where all the facilities will be easily available for all end users. This application help users to read the Quran anywhere and anytime with Sindhi, English, and Urdu translation. The most useful and legitimate function is that it provides the nearest Qibla Directions to the user in case if the person could end up in a non-familiar place alone. Another function is the digital diary that will not only keeps the track of your prayers but will also make small tasks easier. The mobile application that has been developed is not only useful as a learning tool but is also suitable for use in the practice of measuring the Qibla direction in various locations.
References
[2] M. Zakariah, M. K. Khan, O. Tayan, and K. Salah, “Digital Quran Computing: Review, Classification, and
Trend Analysis,” Arabian Journal for Science and Engineering, vol. 42, no. 8, pp. 3077–3102, 2017, doi:
10.1007/s13369-017-2415-4.
[3] M. Alqahtani and E. Atwell, “A Review of Semantic Search Methods to Retrieve Information from the Quran
Corpus.” [Online]. Available: http://www.quranexplorer.com/Search/Default.aspx
[4] F. Fathurahman, “Innovative Development of Mobile Application for Qibla Direction Guidance Services
Training,” IJSS Ilomata International Journal of Social Science, vol. 1, no. 3, pp. 88–102, 2020, [Online].
Available: https://www.ilomata.org/index.php/ijss
[5] S. Talib, M. Mahmud, E. Sarah, A. Rahman, S. Songib, and A. Abubakar, “MOBILE QURAN APP
SECURITY VULNERABILITIES,” 2015. [Online]. Available: http://www.uum.edu.my
[6] S. K. Hamed and M. J. A. Aziz, “A question answering system on Holy Quran translation based on question
expansion technique and Neural Network classification,” Journal of Computer Science, vol. 12, no. 3, pp.
169–177, 2016, doi: 10.3844/jcssp.2016.169.177.
[7] F. S. Utomo, N. Suryana, and M. S. Azmi, “Question Answering Systems on Holy Quran: A Review of
Existing Frameworks, Approaches, Algorithms and Research Issues,” in Journal of Physics: Conference
Series,