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Use of Dhikr Therapy in Overcoming Anxiety in Adolescent Patients Rahmah, St.; Al Hidaya, Ardian; Vann, Dara; Dara, Ravi
Journal International Dakwah and Communication Vol. 4 No. 2 (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/jidc.v4i2.771

Abstract

Anxiety disorders among adolescents have become a growing concern, with increasing cases linked to academic pressure, social expectations, and digital media exposure. Conventional treatments often rely on pharmacological and psychological interventions; however, alternative therapies such as dhikr (Islamic remembrance of God) are gaining attention for their potential psychological benefits. Rooted in Islamic spiritual practices, dhikr therapy is believed to induce a calming effect, promote mindfulness, and enhance emotional regulation. Understanding its effectiveness in alleviating anxiety among adolescents can contribute to integrative mental health approaches. This study aims to evaluate the impact of dhikr therapy on reducing anxiety symptoms in adolescent patients through a structured intervention program. A quasi-experimental research design was employed, involving 60 adolescent patients diagnosed with anxiety disorders. Participants were divided into an intervention group receiving guided dhikr therapy and a control group undergoing standard anxiety management. Anxiety levels were measured using the Generalized Anxiety Disorder Scale (GAD-7) before and after the intervention. Findings indicate a significant reduction in anxiety scores among participants in the dhikr therapy group compared to the control group. The study concludes that dhikr therapy serves as an effective complementary approach in managing adolescent anxiety. Recommendations for integrating dhikr therapy into holistic mental health programs are discussed.  
Integrating Service Learning in Higher Education: Developing Civic Responsibility and Practical Skills through Real-World Engagement Mufron, Ali; Vann, Dara
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.v3i3.1741

Abstract

Background: The integration of service learning in higher education has gained significant attention in recent years as an innovative pedagogical approach aimed at fostering civic responsibility and developing practical skills in students. Service learning encourages students to engage with real-world issues while contributing to community development, enhancing their academic and personal growth. Objective: This study aims to explore the impact of integrating service learning into higher education curricula on students’ development of civic responsibility and practical skills, particularly in fostering social awareness, communication, teamwork, and problem-solving abilities. Methods: A mixed-methods approach was employed in this research. Quantitative data were collected through surveys to assess the students’ self-reported changes in civic engagement and skill development. Qualitative data were gathered from focus group discussions to gain insights into students’ experiences and reflections on the service learning activities. Results: The findings indicate that service learning significantly enhanced students’ sense of civic responsibility, critical thinking, and practical skills such as collaboration and communication. Students also reported a stronger commitment to community service and a deeper understanding of social issues. Conclusion: Integrating service learning into higher education not only promotes civic responsibility but also equips students with essential skills for their professional and personal lives. The study recommends further incorporation of service learning in curricula to foster holistic student development.
The Relationship of Teachers’ Emotional Intelligence to Student Discipline Kiri, Ming; Putri, Wahyuni Eka; Vann, Dara
International Journal of Educatio Elementaria and Psychologia Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijeep.v2i3.2393

Abstract

Student discipline is a critical factor in creating an effective learning environment, and it is often influenced by the teacher’s ability to manage classroom dynamics. Teachers’ emotional intelligence (EI) is increasingly recognized as a key competency in this regard. This study aimed to determine the quantitative relationship between the emotional intelligence of teachers and the level of discipline among their students. A quantitative correlational research design was implemented with a sample of elementary school teachers and their students. Teacher EI was measured using a validated Emotional Intelligence Questionnaire, while student discipline was assessed through a standardized discipline scale completed by trained observers. The data were analyzed using Pearson correlation. The results indicated a significant and strong positive correlation (r = 0.82, p < 0.01) between teachers’ emotional intelligence and student discipline levels. Teachers with higher EI scores consistently managed classrooms with higher levels of student discipline. This study concludes that a teacher’s emotional intelligence is a significant predictor of student discipline. Therefore, fostering EI through targeted professional development is a crucial strategy for improving classroom management and creating a more conducive learning atmosphere.  
Effectiveness of New Therapeutic Techniques in Addressing Anxiety Disorders in a Clinical Setting Utama, Atika Widya; Vann, Dara; Sothy, Chak
Research Psychologie, Orientation et Conseil Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rpoc.v2i1.1853

Abstract

Anxiety disorders are among the most prevalent mental health conditions worldwide, significantly impacting individuals’ quality of life and daily functioning. Traditional therapeutic techniques have shown varying degrees of effectiveness, necessitating the exploration of innovative approaches to enhance treatment outcomes. This study investigates the effectiveness of new therapeutic techniques in addressing anxiety disorders within a clinical setting. The research aims to evaluate the impact of these techniques, which integrate cognitive-behavioral therapy (CBT) with exposure therapy and mindfulness-based interventions. A mixed-methods design was employed, combining quantitative and qualitative approaches. The study involved 150 participants diagnosed with anxiety disorders, randomly assigned to either an intervention group or a control group receiving standard treatment. Data were collected through standardized anxiety scales, semi-structured interviews, and behavioral assessments. The results indicate significant reductions in anxiety symptoms among the intervention group compared to the control group (p < 0.01). Participants reported improved emotional regulation, reduced avoidance behaviors, and enhanced overall well-being. Qualitative findings supported these outcomes, highlighting increased self-awareness and resilience among participants. The study concludes that the integration of new therapeutic techniques is effective in treating anxiety disorders, providing a viable alternative to conventional methods. These findings underscore the potential for broader implementation in clinical practice.
Quantum Neural Network for Medical Image Pattern Recognition Vann, Dara; Rith, Vicheka; Sothy, Chak
Journal of Tecnologia Quantica Vol. 1 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v1i4.1679

Abstract

The background of this research focuses on the recognition of medical image patterns for disease detection using artificial intelligence technology. Although Convolutional Neural Networks (CNNs) have been widely used, the models are limited in terms of accuracy and efficiency in processing complex medical images. Quantum Neural Networks (QNNs) are considered as a potential solution to address this problem, by leveraging quantum computing to improve speed and accuracy. The purpose of this study is to explore the application of QNN in the recognition of medical image patterns, as well as to compare its performance with more conventional CNN models. The study used a dataset of medical images from cancer and heart disease, which were divided into training and testing data. QNN and CNN were tested on the same dataset to compare accuracy, speed, and efficiency. The results showed that QNN produced 92% accuracy in breast cancer detection, higher than CNN which only reached 88%. QNN is also more efficient in terms of processing speed, with lower use of computing resources. The conclusion of this study shows that QNN has great potential to be used in the recognition of medical image patterns, with significant advantages in terms of accuracy and efficiency. This research paves the way for the further development of QNN technology in medical applications and disease diagnosis.
Quantum Computing to Forecast Extreme Weather Rith, Vicheka; Vann, Dara; Santos, Luis
Journal of Tecnologia Quantica Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v2i3.1970

Abstract

The background of this research focuses on the challenges in forecasting extreme weather that is increasingly frequent due to climate change. Conventional weather models still face limitations in terms of accuracy and computational time, especially in predicting extreme weather phenomena. The purpose of this study is to explore the potential of quantum computing in predicting extreme weather by improving prediction accuracy and accelerating computational processes. The research method used involves the development and testing of weather prediction models based on quantum algorithms on extreme weather phenomena such as tropical storms, heavy rains, and heat waves. The results show that the quantum model is able to improve prediction accuracy by up to 92% for tropical storms and accelerate the computational time from 48 hours to 5 hours. The conclusion of the study is that quantum computing offers a more efficient and accurate solution in forecasting extreme weather, with great potential for practical applications in early warning and mitigation of weather disasters.
Photocatalytic Degradation of Pharmaceutical Waste Using ZnO/CuO Thin Films Under Visible Light Vann, Dara; Dara, Ravi; Rocha, Thiago; Shofiah, Siti
Research of Scientia Naturalis Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v2i3.2384

Abstract

The increasing presence of persistent pharmaceutical contaminants in water bodies poses a significant threat to environmental and human health, necessitating effective remediation technologies. This study aimed to develop and evaluate zinc oxide/copper oxide (ZnO/CuO) composite thin films as an efficient photocatalyst for degrading pharmaceutical waste under visible light. The ZnO/CuO thin films were synthesized via a sol-gel spin-coating method, and their photocatalytic activity was assessed using diclofenac as a model pollutant. The results demonstrated that the ZnO/CuO heterostructure exhibited enhanced visible light absorption and superior photocatalytic performance compared to pure ZnO. The composite films achieved over 90% degradation of diclofenac within 120 minutes, with the process following pseudo-first-order kinetics. The enhanced efficiency is attributed to effective charge separation at the ZnO/CuO interface. This research confirms that ZnO/CuO thin films are promising, reusable photocatalysts for the sustainable treatment of pharmaceutical-contaminated water.
The Influence of Government Policy on the Growth of Technology Startups in Malaysia and Indonesia Vann, Dara; Dara, Ravi; Sothy, Chak
Journal of Social Entrepreneurship and Creative Technology Vol. 1 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jseact.v1i3.1727

Abstract

The growth of technology startups is crucial to the economic development of emerging economies in Southeast Asia, particularly in Malaysia and Indonesia. Government policies play a significant role in shaping the entrepreneurial landscape by providing the necessary infrastructure, funding opportunities, and regulatory support. Despite the importance of government intervention, there remains a lack of comprehensive studies comparing the impact of government policies on the growth of technology startups in both Malaysia and Indonesia. This study aims to explore the influence of government policies on the development of technology startups in these two countries, examining the differences in approach, implementation, and outcomes. The research utilizes a comparative case study approach, employing both qualitative and quantitative methods. Data were collected through interviews with technology startup founders, government representatives, and industry experts, complemented by a review of secondary data from government reports and startup incubators. The study reveals that government policies in both countries have significantly influenced the growth of technology startups, with Malaysia’s more structured and long-term policy frameworks yielding better results in fostering innovation and scalability. On the other hand, Indonesia’s policies, while supportive, face challenges related to bureaucracy and inconsistent implementation. In conclusion, the research highlights the critical role of government policies in enabling the growth of technology startups. While Malaysia has been more successful in creating a conducive environment for innovation, Indonesia's startup ecosystem requires further policy refinement and consistent enforcement to accelerate growth. These findings offer valuable insights for policymakers and entrepreneurs seeking to enhance the startup ecosystem in Southeast Asia.