Abstract:The advancement of digital technology has paved the way for the emergence of various mobile learning applications increasingly used within the context of Islamic education. This phenomenon not only reflects the trend of…
integrating technology into modern learning systems but also raises fundamental questions about how these applications are designed and how far they impact learners’ experiences and learning outcomes. This article presents a systematic review of scholarly studies discussing the use of mobile applications in Islamic studies education. The review focuses on two key aspects: the design principles employed in application development and the learning outcomes achieved following their use. The review involved selecting literature from the past six years using specific inclusion criteria, including content relevance, source credibility, and its connection to mobile learning practices in Islamic education. Analysis reveals that designs considering cultural appropriateness, user interface interactivity, and integration of Islamic values positively influence students' emotional engagement, motivation, and content comprehension. Learning outcomes also extend into affective and spiritual domains, not merely cognitive. These findings serve as an initial foundation for developers and educators to build an adaptive, meaningful, and value-based Islamic mobile learning ecosystem.
Abstract:This research aims to examine the transformation of Islamic education management in the digital era and its implications for the quality of learning, with a focus on the innovation of technology use in teaching and administration.…
istration. This research uses a descriptive qualitative approach, collecting data through interviews, observations, and documentation in several Islamic educational institutions that have implemented digital technology. Research results reveal that the adoption of technology such as Learning Management Systems (LMS), e-learning platforms, and administrative digitization has improved the effectiveness of the learning process and the efficiency of school management. The findings also indicate that this transformation brings significant changes to the organizational culture, creating higher transparency and accountability in the management of educational institutions. The novelty of this research lies in the comprehensive analysis of the challenges and strategies faced by Islamic educational institutions in aligning technological advancements with traditional values, as well as the emphasis on the importance of continuous training for educators to enhance technological competence. Nevertheless, there are still obstacles such as limited infrastructure and a lack of digital literacy among educators. This research concludes that digital transformation in Islamic educational institutions offers great potential in improving the quality of education, provided it is accompanied by the enhancement of educators' capacities and equitable access to technology
Abstract:The digital era has significantly transformed lifestyles, particularly in Indonesia, where computer-mediated communication (CMC) now plays a prominent role in human interactions. In public spaces, individuals often prioritize…
itize their digital devices over engaging with those around them. The rise of the internet generation has integrated media and communication into essential elements of daily life. This study focuses on the analysis of hashtag trends related to general elections, such as #capres2024, #cawapres2024, and #pemilu2024, on Instagram, and their influence on user perceptions. It examines the role of hashtags in CMC practices on Instagram during electoral periods. Through the analysis of seven samples, the study reveals that while certain posts align with the electoral purposes of the hashtags, others use these hashtags for visibility without relevance to the elections. The research underscores Instagram’s potential for reshaping political branding and enhancing voter engagement. It demonstrates that the strategic application of hashtags, combined with high-quality visuals and interactive features, can amplify the visibility and impact of political messaging. By integrating CMC and political branding theories, this study presents a framework for understanding how digital tools can foster a more engaged and informed electorate.
Abstract:This study examines the effectiveness of training programs for room attendants in the hospitality industry, focusing on their impact on performance, job satisfaction, and retention. Using a qualitative approach, in-depth…
interviews were conducted with 20 room attendants and 10 housekeeping managers across various hotel segments. The findings reveal that while initial training typically covers basic cleaning techniques and safety protocols, it often lacks depth in advanced methods and customer service skills. Challenges such as time constraints and reliance on informal learning are common, affecting the consistency and quality of training. Effective training programs were identified as those that provide comprehensive, ongoing instruction and incorporate innovative methods like virtual reality and gamified learning. The study also highlights the importance of mentorship programs and regular feedback to enhance training outcomes. Recommendations for improving training programs include developing detailed curricula, addressing time constraints, and adapting to emerging trends. By implementing these strategies, hotels can enhance room attendants' skills, satisfaction, and overall service quality, leading to improved guest experiences and operational success.
Abstract:The research aims to investigate the student’s experience of using Nearpod related to students’ increased engagement in grammar lesson at SMAN 1 in Surakarta. The significant level of engagement is the key for students…
udents to keep up with grammar lesson and then gain better comprehension of the lesson. The research uses descriptive - qualitative method. The research applies focus group discussion, in-depth interview, observation techniques and document analysis. To broaden understanding about the level of engagement, the research explores the students’ experiences in learning grammar using Nearpod. The research then analyzes the data from techniques to identify the pattern, trend, theme and meaning. The result of the research shows that the use of Nearpod in Grammar Lesson has significant impact in increasing students’ engagement. This finding implies the important of integrating subjects with digital platforms to create collaborative and interactive environment of learning.
Abstract:The study aims to gain a better understanding of the role of Order Taker in improving the quality of Housekeeping services at the The Sunan Hotel. In addition, the study also tries to identify problems faced by staff and…
ways to address them. The research was designed using a descriptive qualitative approach. The theory used is the quality of service. The data obtained was collected through interviews, observations, and literary studies. The result of this research is that Order Taker helps improve the quality of Housekeeping services by receiving and processing guest requests in a timely and efficient manner. Handle guest complaints in a friendly and professional manner. Give me a polite and friendly service. Create a positive relationship with the guests. Using technology to be more efficient. Maintain the comfort and hygiene of the guest room. The obstacles faced are the Order Taker facing many challenges, including high work pressure, lack of technological support, incompatibility with Housekeeping staff, and lack of training and motivation. As for the strategy used to tackle this problem is to keep up with trends using technology, manage workloads, and improve communication. Team coordination, training, and incentives.
Abstract:This research examines the intricate relationships between company size, growth in cash flow, and stock performance, revealing complexities that challenge traditional financial analysis. While company size is often associated…
iated with stable stock performance due to advantages such as economies of scale and market power, the findings indicate that size alone does not positively impact stock performance. Furthermore, the study demonstrates that growth in cash flow does not significantly moderate the relationship between company size and stock performance. This suggests that external factors, such as regulatory changes or market sentiment, may play a more decisive role. The results underscore that cash flow, while an important indicator of financial health, does not enhance the influence of company size on stock performance, particularly in certain industries where external conditions prevail. This underscores the need for a more comprehensive evaluation approach that considers a broader range of factors when assessing stock performance. It's time to move beyond traditional metrics like profitability and cash flow growth and equip ourselves with a more robust set of tools for analysis. Ultimately, this research advocates for a multifactorial approach to stock performance evaluation, emphasizing the importance of understanding the interplay between various variables, including industry trends and macroeconomic conditions. By adopting this comprehensive perspective, investors and analysts can make more informed decisions and strategies, enhancing their ability to navigate the complexities of the financial markets.
Abstract:This study aims to determine the effect of the STAD type cooperative learning model assisted by Canva on physics recognizing consequences in the situation of momentum and impulse material for the sophistication of X MIPA…
SMA Mulia Pratama Medan Academic Year 2022/2023. The type of research is a quasi-experimental study. The population is Class X MIPA semester 1 SMA Mulia Pratama Medan Academic Year 2022/2023. The research pattern was taken from general sampling, which consists of training, namely the experimental class of 30 students carrying out the STAD version of learning assisted by Canva, and the control class of 30 students carrying out the Direct education (DI) model. Research notes were obtained using a tool in the form of an essay test which includes 10 questions that have been tested beforehand to see the validity of the questions, reliability, stages of the questions and discriminating power. Based on the results of the study for the experimental class, received an average pretest of 50.50 with a trendy deviation of 9.45 and an average post-test rating of 85.07 with a desired deviation of 6.06. For the splendor of manipulation, the average pretest value became 49.57 with a standard deviation of 9.18 and the average posttest value became 79.89 with a popular deviation of 5.48. both trainings have been declared generally disbursed (obtained L0 Fcount statistical test (two-tailed t test) for α = 0.05 and dk 58 obtained tcount < ttable, especially 0.418 < 2.002, this shows that the initial abilities in both classes are the same. Then the two classes were given different treatments and at the end of the learning a post-test was given. From the results of the statistical test of the data (one-tailed t test) obtained tcount> ttable, especially 6.143> 1.671, this final result shows that there is a broad influence of the STAD type cooperative learning model assisted by Canva on physics learning in gaining knowledge about the effects in the problem of calculating the amount of momentum and impulse of class X MIPA students semester I SMA Mulia Pratama Medan 2022/2023 academic year.
Abstract:Psychological measurement tools are fundamental in sports psychology for assessing mental toughness, performance anxiety, motivation, and resilience in athletes. Despite increasing research in this field, a comprehensive…
bibliometric analysis of global trends, collaboration networks, and thematic developments remains limited. This study conducts a bibliometric analysis of 489 Scopus-indexed articles published between 1977 and 2025 to examine publication trends, key contributors, and thematic structures. Results indicate that the United States (32.5%), United Kingdom (15.8%), Germany (9.6%), and Canada (7.3%) are the leading contributors, with emerging research from Slovenia (2.1%) and Uruguay (1.7%). Institutional collaborations highlight strong interdisciplinary ties, particularly between the Center for Addictive Disorders and the Faculty of Medicine and Health. Co-authorship analysis identifies Nikos Ntoumanis (98 publications) and Jennifer Cumming (76 publications) as pivotal researchers, while citation network analysis highlights influential clusters led by Joan L. Duda (4,532 citations) and Andreas Ivarsson (3,215 citations). Bradford’s Law identifies Psychology of Sport and Exercise and Journal of Applied Sport Psychology as core journals. Thematic mapping reveals that mental toughness (18.4%) and resilience (14.7%) are dominant topics, while psychometrics (6.3%) and competitive anxiety (5.1%) remain underexplored. These findings provide strategic insights for enhancing global research collaboration, bridging psychological theory and practice, and guiding future research directions in sports psychology.
Abstract:This paper explores the role of Artificial Intelligence (AI) in enhancing decision-making processes within multinational corporations. The primary issue addressed is how AI can be integrated effectively across diverse global…
obal markets, considering factors like regulatory frameworks, cultural diversity, and market dynamics. The research proposes a framework for AI implementation that ensures both operational efficiency and ethical soundness. The study employs a mixed-methods approach, combining qualitative interviews and quantitative surveys from key stakeholders in multinational corporations. Preliminary findings suggest that AI significantly improves decision-making speed and accuracy, particularly in data analysis, market trend prediction, and consumer behavior forecasting. However, challenges remain in adapting AI systems to various cultural and regulatory environments, highlighting the need for customization and local adjustments. This study contributes to understanding how AI can be applied more effectively and ethically across international markets, offering insights for future implementations in diverse business contexts.