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All Journal Journal International Inspire Education Technology (JIIET) World Psychology Scientechno: Journal of Science and Technology International Journal of Educational Narratives Rechtsnormen Journal of Law Journal of World Future Medicine, Health and Nursing Darussalam: Journal of Psychology and Educational International Journal of Research in Counseling Journal of Computer Science Advancements Journal of Tecnologia Quantica Research of Scientia Naturalis Journal of Biomedical and Techno Nanomaterials Journal of Social Entrepreneurship and Creative Technology Journal of Humanities Research Sustainability
Khan, Omar
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Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Education Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

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Interdisciplinary Approaches in Legal Studies: Combining Social Science and Data Science Sagena, Unggul; Idris, Haziq; Fariq, Aiman; Khan, Omar; Sunarno, Sunarno
Rechtsnormen: Journal of Law Vol. 2 No. 4 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rjl.v2i4.1258

Abstract

Background. The integration of interdisciplinary approaches in legal studies is increasingly recognized as essential for addressing complex societal issues. Combining social science and data science offers innovative ways to analyze legal phenomena, providing deeper insights and more robust solutions. Purpose. This study aims to explore the benefits and challenges of integrating social science and data science in legal studies. The research seeks to identify effective interdisciplinary methodologies, evaluate their impact on legal research outcomes, and propose frameworks for their implementation in legal academia and practice. Method. A mixed-methods research design was employed, utilizing both qualitative and quantitative approaches. The study involved a literature review, case studies, and expert interviews to gather insights into existing interdisciplinary practices. Additionally, data analysis techniques from social and data sciences were applied to legal datasets to demonstrate the potential of these methods in enhancing legal research. Results. The findings indicate that integrating social science and data science in legal studies significantly enhances the analytical depth and breadth of legal research. Case studies revealed successful applications of interdisciplinary methods in areas such as criminal justice, human rights, and regulatory compliance. Conclusion. The study concludes that interdisciplinary approaches combining social science and data science hold great promise for advancing legal studies. Implementing these methodologies can lead to more informed legal analyses, better policy recommendations, and enhanced legal education.
The Impact of Virtual Reality on Collaborative Learning in Higher Education Haetami, Aceng; Khan, Omar
International Journal of Educational Narratives Vol. 2 No. 6 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijen.v2i6.1611

Abstract

The rapid advancement of technology has led to the integration of Virtual Reality (VR) in various sectors, including education. In higher education, collaborative learning is a key element in enhancing student engagement and learning outcomes. However, traditional learning environments face limitations in fostering effective collaboration among students. Virtual Reality offers innovative solutions by creating immersive and interactive environments that can bridge the gap between physical and virtual spaces. This study aims to investigate the impact of VR on collaborative learning in higher education, exploring how VR technologies influence student interaction, engagement, and overall learning outcomes. The research uses a mixed-methods approach, combining qualitative interviews with students and faculty and quantitative data through surveys. The study focuses on students who participated in VR-based collaborative learning activities across different disciplines. Preliminary results indicate that VR enhances communication, problem-solving, and teamwork among students, fostering a more engaging and productive learning experience. Additionally, students reported increased motivation and a deeper understanding of complex concepts through the immersive nature of VR. The study concludes that VR is a valuable tool for enhancing collaborative learning in higher education, offering potential for wider application in various academic fields. Further research is recommended to explore the long-term effects of VR in educational settings and its scalability across diverse institutions.
The Effectiveness of Mobile Learning in Remote and Rural Areas Wahyuni, Erna; Khan, Omar; Raza, Amir
Journal International Inspire Education Technology Vol. 3 No. 3 (2024)
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/jiiet.v3i3.720

Abstract

Access to quality education in remote and rural areas remains a global challenge due to geographical isolation, lack of infrastructure, and limited resources. Mobile learning (m-learning) has emerged as a potential solution to bridge this gap, offering flexible and accessible education through mobile devices. This study aims to evaluate the effectiveness of mobile learning in remote and rural areas, focusing on its impact on student engagement, learning outcomes, and the challenges associated with its implementation. A mixed-methods research design was employed, combining quantitative surveys and qualitative interviews with students and teachers from rural schools that have adopted mobile learning platforms. The study involved 250 students and 50 teachers across three regions. Quantitative data was analyzed to assess learning outcomes, while qualitative data provided insights into the user experience and challenges faced in implementing m-learning. The findings reveal that mobile learning significantly improves student engagement, with 70% of students reporting increased motivation to learn due to the flexibility and accessibility of m-learning. However, technical challenges such as poor internet connectivity and limited access to devices were noted as barriers to full adoption. Despite these challenges, 65% of teachers reported positive changes in student performance and participation. In conclusion, mobile learning offers a promising solution for enhancing education in remote and rural areas. While it significantly improves engagement and learning outcomes, addressing the technical and infrastructural barriers is crucial for maximizing its potential. The study suggests that with proper investment in infrastructure, m-learning can be an effective tool for bridging educational disparities in underserved regions.
Adapting Blended Learning Models in Post-Pandemic Education Systems Lima, Lucas; Silva, Pedro; Khan, Omar
International Journal of Educational Narratives Vol. 3 No. 2 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijen.v3i2.2151

Abstract

Background. The COVID-19 pandemic has significantly disrupted traditional education systems, forcing a rapid transition to online learning. This transition has highlighted the need for flexible and adaptive teaching methods, making blended learning models increasingly relevant. Blended learning, which combines face-to-face and online education, has emerged as a potential solution for post-pandemic education systems. Purpose. This study aims to explore how blended learning models can be adapted and implemented in post-pandemic education systems to enhance student engagement, accessibility, and learning outcomes. A mixed-methods approach was used, combining surveys and interviews with educators and students across various educational institutions. Method. The data were analyzed to assess the effectiveness, challenges, and perceptions of blended learning in post-pandemic contexts. Results. The results indicate that while blended learning models are perceived positively, challenges such as technological limitations, teacher training, and student motivation remain significant. However, schools and universities that successfully integrated blended learning models reported improvements in flexibility, student satisfaction, and academic performance. Conclusion. The study concludes that blended learning has the potential to transform education systems by offering a more personalized, accessible, and adaptable learning experience. For successful implementation, ongoing professional development for educators and investment in technology infrastructure are crucial.  
School-Based Mental Health Interventions: A Systematic Review of Digital CBT Programs for Teens Khan, Omar; Mendes, Clara; Tan, Marcus; Nampira, Ardi Azhar
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 3 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i3.2371

Abstract

Social isolation is a significant and modifiable risk factor for accelerated cognitive decline and dementia in aging populations. Traditional methods for detecting cognitive changes, such as clinical screenings, are often infrequent and fail to capture the subtle, early behavioral shifts that precede a formal diagnosis. This study aimed to develop and validate an artificial intelligence model designed for the early detection of cognitive decline by passively monitoring behavioral and vocal biomarkers of social isolation in older adults living independently. A 24-month, prospective longitudinal study was conducted with a cohort of 200 community-dwelling adults aged 70 and older. A suite of unobtrusive in-home sensors was used to passively collect data on movement patterns, social communication (frequency and duration of conversations), and computer/phone usage. The AI-powered system identified individuals who would later show clinically significant cognitive decline with an accuracy of 91% and a lead time of approximately 7 months before formal assessment. The model successfully distinguished between simple loneliness and the specific behavioral patterns of social withdrawal associated with cognitive impairment. AI-powered passive monitoring systems are a highly effective and ecologically valid tool for the pre-clinical detection of cognitive decline linked to social isolation.
The Impact of Communication Skills Training Programs on Improving Work Relationships in the Office Environment Thalib, Najdah; Khan, Omar; Aziz, Safiullah
World Psychology Vol. 4 No. 1 (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/wp.v4i1.806

Abstract

Effective communication skills are essential for fostering positive work relationships and enhancing collaboration in office environments. However, many employees struggle with communication barriers that hinder their ability to work effectively with colleagues, leading to misunderstandings and reduced productivity. Communication skills training programs have been proposed as a solution to improve interpersonal communication, but their impact on work relationships in the office environment remains underexplored. This study aims to evaluate the effectiveness of communication skills training programs in improving work relationships among employees in office settings. The research employed a pre- and post-intervention survey design, involving 150 employees from various departments in a corporate office. Participants completed assessments on their communication effectiveness and work relationship quality before and after undergoing a 6-week communication training program. The results demonstrated significant improvements in employees’ ability to express themselves clearly, listen actively, and resolve conflicts, which in turn enhanced the quality of their work relationships. Participants reported increased trust, cooperation, and mutual respect in their interactions with colleagues. The study concludes that communication skills training programs can effectively improve interpersonal relationships in the office, leading to a more harmonious and productive work environment.
Emotion Regulation In Relation To Adolescent Prosocial Behavior In Terms Of Gender Handayani, Wiwik ; Chai, Nong; Lima, Lucas; Khan, Omar
International Journal of Research in Counseling Vol. 4 No. 1 (2025)
Publisher : Yayasan Minang Darussalam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70363/ijrc.v4i1.161

Abstract

Background. Adolescence is a critical period for emotional development and social adjustment. During this stage, the ability to regulate emotions becomes increasingly important, particularly as it influences the formation of prosocial behavior—actions intended to benefit others. Gender differences have also been observed in both emotional regulation strategies and prosocial tendencies, highlighting the need to explore how these variables interact. Purpose. This quantitative study aimed to investigate the relationship between emotion regulation and prosocial behavior in adolescents, with a specific focus on gender differences. It also sought to identify whether gender moderates the influence of emotion regulation strategies on the development of prosocial actions among adolescents. Method. The study involved 320 high school students aged 13–17 from urban and semi-urban schools. Data were collected using standardized psychological scales measuring emotion regulation (including cognitive reappraisal and expressive suppression) and prosocial behavior. Statistical analysis was conducted using correlation analysis, multiple regression, and moderation tests to examine gender-based differences. Results. The findings revealed a significant positive correlation between cognitive reappraisal and prosocial behavior in both genders, with a stronger effect observed among female participants. Expressive suppression showed a weak or negative correlation with prosocial behavior, particularly among males. Gender was found to moderate the relationship, indicating that females who engage in positive emotion regulation strategies tend to display higher levels of prosocial behavior. Conclusion. Emotion regulation plays a crucial role in shaping adolescent prosocial behavior, with notable differences between males and females. Educational and psychological interventions aimed at fostering emotional competence should consider gender-specific approaches to enhance social functioning and empathy among adolescents.
Enhancing Algorithmic Thinking through Computational Tools: A Study on High School Computing Education Rahmawati, Rahmawati; Khan, Omar; Syahputra, M; Hanifa, Amalia; Sitepu, Ediaman
Scientechno: Journal of Science and Technology Vol. 3 No. 3 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientechno.v3i3.1657

Abstract

The importance of algorithmic thinking in modern education has grown significantly, particularly in the context of computing education in high schools. As computational tools become more accessible, their role in enhancing students' problem-solving abilities has gained considerable attention. This study investigates how computational tools can improve algorithmic thinking among high school students and their overall engagement with computing subjects. The primary objective is to assess the impact of integrating computational tools, such as programming environments and visual coding platforms, on students' development of algorithmic skills. The study adopts a mixed-methods approach, combining quantitative data from pre-and post-tests measuring algorithmic thinking skills, and qualitative data through interviews and classroom observations. A total of 150 high school students from various educational backgrounds participated in the study over one semester. The results indicate a significant improvement in students’ algorithmic thinking abilities after exposure to computational tools, particularly in areas such as problem decomposition, abstraction, and logical reasoning. Additionally, students reported higher levels of motivation and interest in computing subjects. In conclusion, the integration of computational tools in high school computing education not only enhances algorithmic thinking but also fosters greater student engagement. These findings highlight the potential of using technology to bridge the gap between theoretical concepts and practical application in computing education. Further research is encouraged to explore long-term effects and the scalability of these methods across diverse educational settings.
Analysis of the Impact of Lies on Children's Trust in Adults Aulia, Hafidzatul; Khan, Omar; Wei, Li
Darussalam: Journal of Psychology and Educational Vol. 3 No. 2 (2024)
Publisher : Yayasan Minang Darussalam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70363/djpe.v3i2.258

Abstract

Trust is an important aspect of early childhood social and emotional development, which is formed through interactions with authority figures such as parents and educators. However, lies told by adults, whether with protective or disciplinary intentions, can affect children's trust. This study analyzes the impact of lies on early childhood trust in adults through a literature review. Using literature analysis from various sources, this study found that lies, especially if repeated, can damage children's trust, hinder the formation of healthy emotional relationships, and affect children's ability to distinguish between honesty and lies. In addition, the type of lie has different impacts; lies with good intentions can produce milder effects than lies for personal gain. Long-term impacts include the tendency for children to imitate lying behavior and impaired social development. This study recommends the importance of honest communication by parents and educators to build strong children's trust, as well as the need for further studies to explore other factors, such as culture and parenting, that can moderate the relationship between lies and trust. These findings are expected to contribute to developmental psychology and become practical guidelines in supporting the formation of children's trust without using lies.
Application of Augmented Reality in E-Commerce to Increase Product Sales Susanto, Ruhiat; Rizalfi, Vinto; Sok, Vanna; Khan, Omar
Journal of Computer Science Advancements Vol. 3 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v3i1.1622

Abstract

The rapid development of e-commerce has led businesses to adopt innovative technologies to enhance customer engagement and increase product sales. Augmented reality (AR) has emerged as a transformative tool that allows consumers to visualize products in real-world settings, bridging the gap between physical and digital shopping experiences. This research explores the application of AR in e-commerce and its effectiveness in driving product sales by enhancing customer interaction and confidence in purchasing decisions. The study employs a mixed-method approach, combining quantitative surveys of 300 e-commerce users with qualitative interviews of 10 industry experts. The survey measured user engagement, purchasing intent, and satisfaction with AR-enhanced shopping experiences. Expert interviews provided insights into AR implementation strategies and its impact on sales performance. The findings indicate that AR significantly improves product visualization, leading to a 25% increase in customer engagement and a 30% boost in sales conversions. Consumers reported higher confidence in their purchases when using AR features, citing improved understanding of product dimensions, colors, and functionality. However, challenges such as high implementation costs and technical complexity were identified as barriers to widespread adoption. The study concludes that AR is a valuable tool for e-commerce businesses aiming to increase sales by enhancing the customer experience. Addressing challenges such as cost and accessibility will be critical for maximizing AR’s potential. Future research should explore the integration of AR with other emerging technologies to further optimize its impact on e-commerce performance.
Co-Authors Aceng Haetami, Aceng Aulia, Hafidzatul Aziz, Safiullah Chai, Nong Fariq, Aiman Handayani, Wiwik  Hanifa, Amalia Idris, Haziq Judijanto, Loso Khan, Jamil Li Wei Lima, Lucas Mendes, Clara Nampira, Ardi Azhar Rahmawati, Rahmawati Raza, Amir Rizalfi, Vinto Sagena, Unggul Silva, Pedro Sitepu, Ediaman Siti Shofiah Sok, Vanna Sunarno Sunarno Susanto, Ruhiat Syahputra, M Tan, Marcus Thalib, Najdah Wahyuni, Erna Zahir, Roya Zaitul Ikhlas, Rifki Zaman, Khalil