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This Author published in this journals
All Journal ADI Journal on Recent Innovation (AJRI) IAIC Transactions on Sustainable Digital Innovation (ITSDI) International Transactions on Artificial Intelligence (ITALIC)
Muhammad Rehan Anwar
University of Agriculture Faisalabad (UAF)
Religion Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology

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Review of Responsive Design Concept Based On Framework Materialize On The Website Muhammad Rehan Anwar; Marviola Hardini; Mey Anggraeni
ADI Journal on Recent Innovation Vol. 3 No. 1 (2021): September
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v3i1.290

Abstract

Responsive web design is a website design that can adjust each size on each device. Based on the results of several respondents, 60% of respondents agreed that some websites were not able to adjust the display size on the web, 50% of respondents agreed that design affects the convenience factor, 58% of respondents agreed that the main content and functionality of websites that are difficult to access via mobile devices, 53% of respondents agreed that the appearance of a website that was not attractive had a bad effect on the comfort factor of the respondents, 50% of respondents also agreed that the website was not able to adjust the size on every mobile device. From the results of this review, it can be concluded that an unresponsive website greatly affects the inconvenience of users in accessing information through the website.
AI-Powered Arabic Language Education in the Era of Society 5.0 Muhammad Rehan Anwar; Herdi Aziz Ahyarudin
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 5 No 1 (2023): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v5i1.607

Abstract

In the Society 5.0 era characterized by technological integration, Arabic language education is experiencing a transformation through the application of artificial intelligence (AI). The background to this research is the increasing need for Arabic language skills amidst globalization and the growth of cross-cultural interactions. Meanwhile, AI technology has reached a level of maturity that allows its effective use in education, providing new opportunities to improve language teaching methods. This research aims to explore the potential of using AI in Arabic language teaching, understanding how this technology can facilitate more adaptive, interactive and efficient learning, according to individual student needs. The implications of this research are very significant. The implementation of AI in Arabic education not only improves language skills, but also enriches students' learning experience. In Society 5.0, where humans and technology synergize, the use of AI in Arabic language education can be a model for integrating intelligent technology in the learning process. The main contribution of this research is the development of an AI learning system that can be adopted by educational institutions, enabling them to provide more personalized and effective Arabic language education. This research also explores updates in teaching methods, introducing an approach based on individual student responses. Thus, this research provides an in-depth understanding of how AI can be adapted to each student's learning needs in the context of Arabic language education. Overall, this research not only provides new insights into the integration of AI in Arabic education, but also provides a foundation for the development of responsive and adaptive curricula in the Society 5.0 era.
Analysis of Expert System Implementation in Computer Damage Diagnosis with Forward Chaining Method Muhammad Rehan Anwar
International Transactions on Artificial Intelligence Vol. 1 No. 2 (2023): International Transactions on Artificial Intelligence
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v1i2.213

Abstract

The necessity for computerization is currently growing quickly because computers are now necessary for all needs connected to business and daily life. Therefore, users' ability to quickly and easily access information seems to be hindered by maintenance and repairs. An expert system is a computer-based method that uses facts, knowledge, and reasoning to solve issues that are often best handled by a subject-matter expert. Expert systems are created for expertise that is close to human capabilities in a given sector. A computer expert currently needs a lot of time to diagnose computer damage, and even technicians frequently put off their work in order to come up with fixes. Forward chaining was used in the construction of this system. In order to derive conclusions, forward chaining is employed to test the given factors against the recorded rules in the system. As a result, this expert system was developed to assist users in dealing with the damage and early maintenance that frequently affect computer systems. using computers in everyday tasks.If we are familiar with the Forward Chaining method used by the expert system to trace computer damage, the known crash features to address frequent crashes on that PC, and the application in object-oriented programming languages such as Visual Basic 6.0, we can determine where the damage is located.
Co-Authors Herdi Aziz Ahyarudin Marviola Hardini Mey Anggraeni