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All Journal Coreid Journal Khazanah Journal of Religion and Technology
Mohamad Irfan
Department of Informatics, UIN Sunan Gunung Djati Bandung
Religion Computer Science & IT Engineering Languange, Linguistic, Communication & Media Social Sciences

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Comparison of the Fisher-Yates Shuffle and the Linear Congruent Algorithm for Randomizing Questions in Nahwu Learning Multimedia Ukan Saokani; Mohamad Irfan; Dian Sa'adillah Maylawati; Rachmat Jaenal Abidin; Ichsan Taufik; Riyan Naufal Hay's
Khazanah Journal of Religion and Technology Vol. 1 No. 1 (2023): June
Publisher : Asosiasi Khazanah Cendekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kjrt.v1i1.159

Abstract

Nahwu Quiz is a basic Arabic learning application that can be played by the public over the age of 12 years. In the question practice menu, there are questions and 4 multiple choice questions. The user only needs to choose one of the multiple choices that the user thinks is correct/matches the question at hand. In one game, there are 5 questions. After answering all these questions, you will immediately see the score. The purpose of developing this application apart from being a medium of entertainment as well as a medium of learning and memory training for game users (users). To make this Nahwu Quiz application, the authors use the Fisher Yates Shuffle (FYS) algorithm which is used to perform the randomization function in multiple choice and the Linear Congruent Method (LCM) algorithm as a comparison. White box and black box testing were applied to see the feasibility of the program and to obtain efficiency in the comparison of randomization methods. The results of white box and black box testing on the application show that the application is feasible. with reference to the white box test results that the FYS algorithm and the LCM have the same complexity as the result of cyclomatic complexity = 2.
Academic Data Quality Measurement in SALAM Application Using Six Sigma Method Imam Firdaus; Cecep Nurul Alam; Yana Aditia Gerhana; Mohamad Irfan; Ibrahim Iskandar
CoreID Journal Vol. 3 No. 2 (2025): July 2025
Publisher : CV. Generasi Intelektual Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60005/coreid.v3i2.136

Abstract

Data quality plays a critical role in ensuring the reliability and usefulness of information for decision making in higher education institutions. However, academic data within the SALAM application at UIN Sunan Gunung Djati Bandung has not previously undergone a systematic quality assessment, leading to uncertainty in several managerial and academic decisions. This study aims to evaluate the quality of academic data in the SALAM application using the Six Sigma method with the DMAIC (Define–Measure–Analyze–Improve–Control) framework. Five data quality dimensions completeness, consistency, conformity, uniqueness, and timeliness are employed to measure and analyze data quality performance. The measurement process begins with data definition and extraction, followed by quantitative analysis using sigma metrics. The results indicate that the overall quality of academic data is at a moderate level, with an average sigma score of approximately 3, primarily influenced by incomplete and inconsistent data. In contrast, the timeliness dimension demonstrates excellent performance, achieving a sigma metric of 6 due to the long-term availability of data over more than ten years. This study contributes by providing an empirical, data-driven evaluation of academic data quality and offers practical insights for implementing continuous monitoring and improvement strategies to enhance data reliability and support more effective decision making in higher education institutions.
Co-Authors Cecep Nurul Alam Ibrahim Iskandar Ichsan Taufik Imam Firdaus Maylawati, Dian Sa'adillah Rachmat Jaenal Abidin Riyan Naufal Hay's Ukan Saokani Yana Aditia Gerhana