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All Journal International Journal of Educatio Elementaria and Psychologia Research Psychologie, Orientation et Conseil Journal of Tecnologia Quantica Research of Scientia Naturalis Journal of Social Entrepreneurship and Creative Technology Journal of Multidisciplinary Sustainability Asean
Dara Vann
Royal University Agriculture
Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Library & Information Science Physics Other

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MULTILINGUAL EDUCATION AND COGNITIVE DEVELOPMENT: BALANCING MOTHER TONGUE MAINTENANCE AND ACADEMIC ACHIEVEMENT Roni Subhan; Chenda Dara; Dara Vann
International Journal of Educatio Elementaria and Psychologia Vol. 3 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijeep.v3i2.4138

Abstract

Multilingual education has become an increasingly important educational approach for addressing linguistic diversity while promoting cognitive development and equitable academic achievement. Continuing debates regarding the role of mother tongue maintenance alongside second-language acquisition have generated contrasting perspectives on how multilingual instruction influences learners’ cognitive growth and educational performance. This study aimed to examine the relationship between multilingual education, mother tongue maintenance, cognitive development, and academic achievement within linguistically diverse school settings. A mixed-methods sequential explanatory design was employed involving 1,180 students from fifteen multilingual primary and lower secondary schools implementing different language instruction models. Quantitative data were collected using validated measures of mother tongue proficiency, second-language proficiency, executive functioning, metalinguistic awareness, cognitive flexibility, conceptual understanding, literacy achievement, and academic performance, and analyzed through multilevel modeling, structural equation modeling, mediation analysis, and hierarchical regression. Qualitative evidence was obtained through interviews, classroom observations, focus group discussions, and institutional document analysis, followed by thematic interpretation. Findings revealed that sustained mother tongue maintenance significantly strengthened conceptual understanding, metalinguistic awareness, executive functioning, literacy development, and overall academic achievement. Teacher multilingual competence and family language support further enhanced multilingual learning by reinforcing classroom participation and cognitive flexibility. Results indicate that multilingual education achieves optimal outcomes when linguistic diversity is integrated into coherent instructional practices, supportive language policies, and culturally responsive teaching. The proposed framework provides practical guidance for developing multilingual educational systems that simultaneously preserve linguistic heritage and promote cognitive excellence.
THE RELATIONSHIP OF TEACHERS’ EMOTIONAL INTELLIGENCE TO STUDENT DISCIPLINE Ming Kiri; Wahyuni Eka Putri; Dara Vann
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 Atika Widya Utama; Dara Vann; Chak Sothy
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.
Quantum Neural Network for Medical Image Pattern Recognition Dara Vann; Vicheka Rith; Chak Sothy
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 Vicheka Rith; Dara Vann; Luis Santos
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 Dara Vann; Ravi Dara; Thiago Rocha; Siti Shofiah
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 Dara Vann; Ravi Dara; Chak Sothy
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.
A Review of Micro-Hydro Power Plant Technology and its Socio-Economic Impact on Rural Electrification in Indonesia Hamzah Al Imran; Dara Vann; Ravi Dara
Journal of Multidisciplinary Sustainability Asean Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijmsa.v2i5.2773

Abstract

Background: Access to electricity in rural areas of Indonesia remains limited, leading to socio-economic challenges such as low productivity, limited education opportunities, and inadequate healthcare services. Micro-hydro power plants (MHPP) have emerged as a promising solution to support rural electrification, offering renewable, decentralized energy sources suitable for remote communities. Objective: This study aims to review the development and application of micro-hydro power plant technology in Indonesia, analyzing its technical characteristics and evaluating its socio-economic impacts on rural communities. Methodology: A systematic literature review was conducted, encompassing peer-reviewed articles, government reports, and case studies from various rural regions in Indonesia. The analysis focused on technical specifications, implementation strategies, community involvement, and socio-economic outcomes associated with micro-hydro projects. Results: Findings indicate that MHPP technology in Indonesia has demonstrated reliable energy generation with capacities ranging from 5 kW to 100 kW, suitable for small communities. Socio-economic benefits include increased household income, improved educational access, enhanced local business development, and strengthened community cohesion. However, challenges such as high initial investment, technical maintenance requirements, and limited technical expertise in rural areas have constrained widespread adoption. Community participation and government support were identified as critical factors for project sustainability. Conclusion: Micro-hydro power plants present an effective approach to rural electrification in Indonesia, with significant socio-economic benefits when supported by local engagement and institutional frameworks. Future policies should focus on reducing technical and financial barriers to maximize the positive impact of MHPP on rural development.
Co-Authors Atika Widya Utama Chak Sothy Chenda Dara Hamzah Al Imran Luis Santos Ming Kiri Ravi Dara Roni Subhan Siti Shofiah Thiago Rocha Vicheka Rith Wahyuni Eka Putri