Repetitive approach of memorizing surah Al-Kahfi using rule-based expert system / Siti Fasihah Ibrahim

Ibrahim, Siti Fasihah (2015) Repetitive approach of memorizing surah Al-Kahfi using rule-based expert system / Siti Fasihah Ibrahim. Degree thesis, Universiti Teknologi MARA, Cawangan Melaka.

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Abstract

This project focusing on developing mobile application for repetitive approach of memorizing Surah Al-Kahfi using rule-based expert system. The project aims to encourage the memorizing of Al-Quran using the latest technologies. With the improvement of smart phone technology, many applications on Al-Quran are being designed for mobile devices to make memorizing process become easier and faster than before. The mobile application for memorizing Surah Al-Kahfi may be able to help user to memorize verses in Surah Al-Kahfi stage by stage. Al-Quran can be memorized with a proper technique for better result. To develop this mobile application, repetitive approach is applied using Rule Based Expert System. The long verses will be divided into smaller portions and to test the understanding of the users, they need to pass the pop quiz section to move to the next stage. In this project, agile technique is used as the process can be change based on user’s requirement. Analysis and discussions for this project is getting from the interview that have been conducted with Mr. Ahmad Zaki Fikri bin Mohd Nooh which is an Assistant Affairs of Islam in UiTM Jasin, Malacca. The result for this project is provided in Chapter 4 of this report which contains of the rules in order to develop the application and design the application. As a conclusion, the objectives of the project are achieved and there are some recommendations to improve the project and make it more efficient which are add more than one language, add more surah in order to fulfil user’s needs, improve the design to be more interactive and add choose option for audio reciters.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email
Ibrahim, Siti Fasihah
2012216716
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Zulkifli, Zuhri Arafah
UNSPECIFIED
Subjects: B Philosophy. Psychology. Religion > BP Islam. Bahaism. Theosophy, etc > Islam > Qurʼan. Koran
Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science
Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Operating systems (Computers) > Android
Divisions: Universiti Teknologi MARA, Melaka > Jasin Campus > Faculty of Computer and Mathematical Sciences
Programme: Bachelor of Computer Science (Hons) (CS230)
Item ID: 41606
Uncontrolled Keywords: Memorize; Repeat; Android, Al-Quran
URI: https://ir.uitm.edu.my/id/eprint/41606

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