Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal Aceh International Journal of Science and Technology
Yuanda Hanif Hisyam
Department of Informatics, Universitas Islam Indonesia
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Personalized Al-Quran Memorization Testing System Using Group Decision Support System Rian Adam Rajagede; Yuanda Hanif Hisyam; Muhammad Ichlasul Amal Yulianto; Farid Amin Ridwanto; Alfian Try Putranto; Muhammad Rifqi Fatchurrahman Putra Danar
Aceh International Journal of Science and Technology Vol 10, No 3 (2021): December 2021
Publisher : Graduate Program of Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (459.315 KB) | DOI: 10.13170/aijst.10.3.23199

Abstract

Memorizing Al-Quran is one of the most important acts of worship for Muslims. After memorizing some parts of the Al-Qur’an, the hafiz or Al-Qur’an’s memorizer is recommended to repeat or muraja’ah their memorization to strengthen it. This process is usually done in pairs by listening to each other’s memorization or testing by asking questions about Al-Quran. This study proposes a system that can help memorizers test their memorization independently without a partner. The system will perform a memorization test to support the user’s process of memorizing the Al-Quran. The system records and analyzes user data and uses it to personalize memorization testing from time to time. The system was made using the Group Decision Support System (GDSS) approach with the help of several Al-Quran memorizers as decision-makers. The GDSS algorithm used combines Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Weighted Geometric Mean to rank surahs based on provided user data. The evaluation was conducted with the help of human evaluators, and the evaluators showed 78% agreement with the system decision. 
Co-Authors Alfian Try Putranto Farid Amin Ridwanto Muhammad Ichlasul Amal Yulianto Muhammad Rifqi Fatchurrahman Putra Danar Rajagede, Rian Adam