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All Journal Journal International of Lingua and Technology Al Tahdzib: Jurnal Pendidikan Islam Anak Usia Dini Journal of Tecnologia Quantica Islamic Studies in the World Journal Markcount Finance Journal Emerging Technologies in Education International Journal of Language and Ubiquitous Learning
Ahmed Hossam
Cairo University
Religion Education Languange, Linguistic, Communication & Media Physics

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Improving Early Childhood Children’s Ability in Hijaiyah Letters Through PowerPoint-Based Learning Media Lailatul Qadariyah; Rici Oktari; R Agrosamdhyo; Ahmed Hossam; Wahdiansyah Wahdiansyah
Al Tahdzib: Jurnal Pendidikan Islam Anak Usia Dini Vol. 5 No. 1 (2026): Al Tahdzib: Jurnal Pendidikan Islam Anak Usia Dini
Publisher : STAI Publisistik Thawalib Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54150/altahdzib.v5i1.791

Abstract

The ability of young children to recognize, pronounce, and write hijaiyah letters remains low due to monotonous and less interactive learning methods. This study aims to assess the effectiveness of PowerPoint-based learning media in improving young children’s skills in recognizing, pronouncing, and writing hijaiyah letters. The research employed a one-group pretest-posttest experimental design. Data were collected through observation and ability tests. Data analysis was performed using SmartPLS to test validity and reliability and to test hypotheses. The results show that students’ mastery of hijaiyah letters is still in the moderate range. Memorization is the weakest aspect, falling into the low category. Post-test scores for students 1–14 ranged only from 1 to 3, indicating no significant improvement compared to the pre-test. Overall, the progress was minimal and not statistically significant. This suggests that learning still needs reinforcement, especially through memorization practice and repetition, to help students recognize, pronounce, and write hijaiyah letters more effectively and evenly. However, interactive PowerPoint media has the potential to enhance children’s learning of hijaiyah letters through engaging, visual, and participatory methods, despite the lack of significant improvement. This study contributes to the development of innovative digital learning tools aimed at improving the quality of hijaiyah letter learning for early childhood education.
The Integration of Sufism in Contemporary Indonesian Islam: The Case of Urban and Rural Communities Wijaya Wijaya; Abdillah Rofiif Fatin Ritonga; Amin Zaki; Ahmed Hossam
Islamic Studies in the World Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/isw.v2i1.2121

Abstract

Background. Sufism has historically played a central role in shaping Islamic spirituality in Indonesia, yet its presence and function in contemporary contexts—particularly among urban and rural communities—remain underexplored. Amid the dynamic religious landscape of modern Indonesia, marked by increasing pluralism, conservatism, and digital religiosity, the integration of Sufi practices and values continues to adapt and evolve in nuanced ways. Purpose. This study aims to examine how Sufism is practiced, perceived, and institutionalized within both urban and rural Muslim communities in Indonesia. The research investigates the social, spiritual, and cultural factors that influence the persistence and transformation of Sufi traditions in the context of modern life. Method. Employing a qualitative comparative approach, the study conducted fieldwork in two locations: a metropolitan city (Jakarta) and a rural district in Central Java. Data were collected through in-depth interviews with 30 participants including religious leaders, followers of various tariqas (Sufi orders), and community members, supported by participant observation and document analysis. Results. Findings reveal that urban Sufi communities emphasize symbolic spirituality, self-development, and integration with digital platforms, while rural counterparts maintain traditional rituals, communal dhikr, and strong lineage-based networks. Despite contextual differences, both settings reflect a shared commitment to inner transformation and ethical living, with Sufism offering a counterbalance to materialism and ideological rigidity. Conclusion. The study concludes that Sufism continues to serve as a meaningful spiritual resource in Indonesian Islam, adapting to socio-cultural shifts while maintaining its core emphasis on personal piety and social harmony.
Quantum Simulation for Studying High-Temperature Superconductors Yasser Sayed; Ahmed Hossam; Mona Abdallah
Journal of Tecnologia Quantica Vol. 1 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v1i6.1701

Abstract

High-temperature superconductors are a very interesting phenomenon because they can operate at much higher temperatures compared to conventional superconductors. However, the mechanism underlying superconductivity at high temperatures is still not fully understood. This study aims to study the properties of high-temperature superconductors through quantum simulations to identify factors that affect the critical temperature and phase stability of superconductors. The method used is quantum simulation using the Monte Carlo technique to model electron-interaction and magnetic fluctuations in various high-temperature superconducting materials, such as cuprates and iron-based superconductors. The results showed that strong electron interactions and optimal crystal structure played an important role in achieving high critical temperatures, while strong magnetic fluctuations could disrupt the stability of Cooper pairs and lower critical temperatures. This research contributes to a deeper understanding of the role of electron-interaction and magnetic fluctuations in high-temperature superconductivity, as well as opening up opportunities to design new materials with higher critical temperatures. The limitations of this study lie in the complexity of the system being studied, which requires large computing resources. Further research can be focused on the development of more efficient simulation algorithms and the application of physical experiments to validate the simulation results.
UTILIZING ARTIFICIAL INTELLIGENCE (AI) FOR AUTOMATED FEEDBACK ON THE ENGLISH ESSAY WRITING SKILLS OF INDONESIAN UNIVERSITY STUDENTS Nicodemus Rahanra; Ahmed Hossam; James Scott; Nurhayati
Journal International of Lingua and Technology Vol. 4 No. 3 (2025)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jiltech.v4i3.1121

Abstract

Academic writing proficiency is crucial for Indonesian university students navigating global careers, yet the high student-to-teacher ratio severely limits the provision of timely, quality feedback. This constraint impedes skill acquisition and necessitates the exploration of scalable technological solutions. This study aimed to evaluate the validity and causal efficacy of a specialized, localized AI-powered Automated Essay Scoring (AES) system in accelerating students’ writing skill development over one academic semester. A quasi-experimental, pretest-posttest control group design (N=120) was used. The experimental group received continuous AI feedback, while the control group received traditional manual feedback. ANCOVA was applied to measure skill gain, supported by qualitative data on faculty workload and user acceptance. Findings showed the AI group achieved superior learning gains (13.5 vs. 5.5 raw gain) with a statistically significant main effect (F=22.45, p < 0.001). The system demonstrated high scoring reliability (r=0.88) and reduced lecturer routine grading time by 65%, successfully driving improvement in higher-order skills like Structural Coherence. The research confirms that the customized AI-Feedback Model is a pedagogically transformative tool that provides a sustainable solution to structural constraints in EFL education. It establishes a new paradigm for instructional practice by positioning localized AI as a highly consistent and effective mechanism for mass academic skill development in resource-constrained educational environments.
Ethical AI in Financial Decision-Making: Balancing Innovation, Regulation, and Social Justice Shohib Muslim; Ahmed Hossam; Mona Abdallah; Farida Akbarina
Journal Markcount Finance Vol. 3 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jmf.v3i3.2714

Abstract

The integration of Artificial Intelligence (AI) in financial decision-making has revolutionized the sector, offering unprecedented speed and efficiency. However, the increasing reliance on AI systems has raised concerns regarding ethical implications, particularly in terms of fairness, transparency, and accountability. This study explores the intersection of ethical AI, financial decision-making, and social justice, emphasizing the need to balance technological innovation with regulatory oversight and societal impact. The research aims to assess how AI-driven financial decisions align with ethical principles and the role of regulation in ensuring equitable outcomes. A mixed-methods approach was employed, combining a qualitative review of existing literature on AI ethics in finance with quantitative analysis of AI algorithms in decision-making processes within financial institutions. The findings suggest that while AI has the potential to enhance financial decision-making, there is a significant gap in the ethical regulation of AI systems. The study identifies key challenges in ensuring transparency and fairness, particularly in automated lending and investment decisions. It concludes that a comprehensive regulatory framework is essential for balancing innovation with ethical standards, ensuring that AI serves the public good while mitigating the risk of biased decision-making. The findings underscore the importance of social justice considerations in the deployment of AI in financial systems.
Exploring the Scalability of 5G-Enabled E-Learning Platforms in Rural Areas Apriyanto Apriyanto; Ahmed Hossam; Yara Abed; Reddy Anggara
Journal Emerging Technologies in Education Vol. 2 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v2i4.1367

Abstract

Background. The rise of 5G technology offers the potential to revolutionize e-learning, particularly in rural areas where access to high-quality educational resources has historically been limited. Despite the promise of improved connectivity, the scalability and impact of 5G-enabled e-learning platforms in these regions remain underexplored. Purpose. This study aims to assess the feasibility and scalability of implementing 5G-enabled e-learning platforms in rural areas and to evaluate their effectiveness in enhancing educational access and outcomes.   Method. The research employs a mixed-method approach, combining quantitative analysis of internet connectivity, user engagement, and learning outcomes with qualitative interviews from educators and students. Data was collected from five rural regions across three countries where 5G infrastructure was recently introduced. The study measured improvements in e-learning adoption rates, student engagement, and academic performance over a 12-month period. Results. Results indicate that 5G-enabled e-learning platforms significantly improved both access to education and student engagement, with a 30% increase in platform adoption and a 25% improvement in student performance. Educators also reported more dynamic and interactive learning experiences. However, challenges related to infrastructure costs and digital literacy were noted, which could limit scalability in certain regions. Conclusion. In conclusion, the study demonstrates the potential of 5G technology to scale e-learning platforms in rural areas, improving educational access and outcomes. Nonetheless, addressing challenges such as infrastructure costs and digital literacy is critical for ensuring long-term scalability and success.
Adaptive Learning Technologies in Arabic Language Education: Designing for Flexibility and Accessibility Cut Keumalawati; Ahmed Hossam
International Journal of Language and Ubiquitous Learning Vol. 2 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijlul.v2i4.1807

Abstract

Background. Arabic language education faces the challenge of providing flexible and accessible learning methods to a diverse range of students with different levels of ability. Adaptive learning technologies are considered a potential solution to address these challenges by allowing for the customization of learning materials and experiences according to individual needs. Purpose. This study aims to explore the use of adaptive learning technology in Arabic language education, with a focus on flexibility and accessibility for students. Method. This study uses a quasi-experimental design by involving students who use adaptive learning platforms. Data is collected through pre-test and post-test tests as well as student engagement surveys during the learning process. Results. The results showed that students who used adaptive learning technology experienced a significant improvement in test scores and showed higher engagement compared to students who used conventional learning methods. This system provides a more personalized learning experience and is tailored to the individual needs of students. Conclusion. This study concludes that adaptive learning technology can be an effective solution in Arabic language education, by improving learning outcomes and student engagement. However, external support from teachers is still needed to maximize the effectiveness of this system.
Co-Authors Abdillah Rofiif Fatin Ritonga Amin Zaki Apriyanto Apriyanto Cut Keumalawati Farida Akbarina James Scott Lailatul Qadariyah Mona Abdallah Nurhayati R Agrosamdhyo Rahanra, Nicodemus Reddy Anggara Rici Oktari Shohib Muslim Wahdiansyah Wahdiansyah Wijaya Wijaya Yara Abed Yasser Sayed