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All Journal Journal International Inspire Education Technology (JIIET) Al Irsyad: Jurnal Studi Islam Journal Markcount Finance International Journal of Educational Narratives Journal of Moeslim Research Technik Journal of Selvicoltura Asean Research Psychologie, Orientation et Conseil Journal of Tecnologia Quantica Journal of Loomingulisus ja Innovatsioon Cognitionis Civitatis et Politicae Techno Agriculturae Studium of Research Research of Scientia Naturalis Journal of Biomedical and Techno Nanomaterials
Akhtar, Shazia
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Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Library & Information Science Physics Social Sciences Other

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Fostering Academic Resilience: The Efficacy of Solution-Focused Brief Counseling (SFBC) in Alleviating Test Anxiety Among High-Achieving Adolescents Souza, Felipe; Costa, Bruna; Akhtar, Shazia
Research Psychologie, Orientation et Conseil Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rpoc.v2i6.2332

Abstract

Test anxiety is a significant barrier to academic success, particularly among high-achieving adolescents who face high academic pressures. The impact of test anxiety on students’ performance and psychological well-being necessitates effective interventions. Solution-Focused Brief Counseling (SFBC), a short-term, goal-oriented approach, has shown promise in addressing various psychological concerns, yet its specific efficacy in alleviating test anxiety among high-achieving adolescents remains under-explored. This study aims to investigate the effectiveness of SFBC in reducing test anxiety and enhancing academic resilience in this population. A quasi-experimental design was employed, with 60 high-achieving adolescents randomly assigned to either an experimental group (SFBC intervention) or a control group. Pretest and posttest measures were taken using the Test Anxiety Inventory (TAI) and the Academic Resilience Scale (ARS). The experimental group received five SFBC sessions, while the control group received no intervention. Results indicated that the SFBC intervention significantly reduced test anxiety and enhanced academic resilience among the experimental group. The mean TAI score decreased significantly, and the ARS score increased, indicating improved coping strategies and greater academic perseverance.
THE USE OF ARTIFICIAL INTELLIGENCE FOR PREDICTING COFFEE BEAN QUALITY BASED ON DIGITAL IMAGES AND SENSOR DATA Silamat, Eddy; Zaman, Khalil; Akhtar, Shazia
Techno Agriculturae Studium of Research Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/agriculturae.v2i3.2442

Abstract

The increasing global demand for high-quality coffee requires more efficient and objective methods to evaluate bean quality. Traditional sensory and manual inspection techniques are time-consuming, subjective, and prone to inconsistency. This study aims to develop and validate an Artificial Intelligence (AI)-based predictive model for assessing coffee bean quality using digital image processing and sensor data. The research employs a quantitative experimental approach by integrating convolutional neural networks (CNNs) for visual analysis and machine learning regression models to process multispectral sensor data related to moisture, color, and aroma parameters. A dataset of 5,000 labeled coffee bean samples from three regional plantations was used for training and validation. The results demonstrate that the hybrid AI model achieved an accuracy rate of 96.8% in predicting bean grades compared to expert cupping scores, outperforming traditional visual grading methods by 18%. Furthermore, the integration of digital imaging and IoT-based sensors significantly reduced evaluation time and human error. The findings highlight AI’s potential to revolutionize coffee quality control by enabling automated, consistent, and scalable assessment systems that support sustainable agricultural practices.
Human-Centered Artificial Intelligence Model in Classroom Management in Early Childhood Islamic Education Study Programs Idris, Meity H.; Riza, Eva; Manfaatin, Eva; Chai, Som; Akhtar, Shazia
Al Irsyad: Jurnal Studi Islam Vol. 5 No. 1 (2026): Al Irsyad: Jurnal Studi Islam
Publisher : STAI Publisistik Thawalib Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54150/alirsyad.v5i1.967

Abstract

Digital transformation demands adaptive classroom management; however, the implementation of Artificial Intelligence in Islamic higher education has not yet been structured into a human-centered model that considers pedagogical, ethical, and humanistic values. This study aims to analyze the needs of digital classroom management and to formulate a contextual Human-Centered Artificial Intelligence model for Islamic higher education. The research employed a qualitative approach with conceptual development studies through interviews, classroom observations, academic documentation, and interpretive thematic data analysis. The findings suggest that classroom management is confronted with difficulties stemming from diverse student capabilities, fluctuations in learning engagement, and inadequate utilization of learning data. To mitigate these issues, a Human-Centered Artificial Intelligence Model was developed, incorporating learning analytics, adaptive recommendation systems, and humanistic pedagogical tenets grounded in Islamic educational principles. This model designates educators as the principal decision-makers, with AI functioning as a data-driven support system. The model's implementation could potentially augment learning efficacy, personalize the learning experience, and sustainably enhance the quality of pedagogical interactions. Consequently, the integration of Human-Centered Artificial Intelligence fortifies adaptive classroom management by harmonizing technology, humanistic values, and the strategic function of educators. This study offers a conceptual model of AI-driven classroom management that is humanistic, contextually relevant, and pertinent to Islamic higher education within the digital age.
Transformational Leadership and its Influence on Building a Culture of Innovation within Technology Firms Wijaya, Wijaya; Akhtar, Shazia; Khan, Jamil; Sijabat, Saut Gracer
Journal of Loomingulisus ja Innovatsioon Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/innovatsioon.v2i5.2580

Abstract

Innovation has become a defining factor for organizational survival and competitiveness in the technology sector, where dynamic markets demand continuous adaptation and creativity. This study aims to examine the relationship between transformational leadership practices and the development of a culture of innovation within technology firms. A quantitative research design was employed using a cross-sectional survey distributed to 320 employees across ten leading technology companies in Southeast Asia. The Transformational Leadership Inventory (TLI) and Innovation Climate Scale (ICS) were utilized to assess leadership behavior and organizational culture, respectively. Statistical analyses, including structural equation modeling (SEM), revealed a strong positive correlation (r = 0.74, p < 0.01) between transformational leadership dimensions particularly intellectual stimulation and inspirational motivation and innovation culture indices. The findings indicate that leaders who encourage risk-taking, empower employees, and communicate a shared vision significantly enhance creativity and collective learning. The study concludes that transformational leadership serves as a critical driver in shaping an organizational climate conducive to innovation, underscoring the need for leadership development strategies centered on creativity and adaptability.  
Open Access in Developing Countries: Challenges and Opportunities in Academic Publishing Achmad, Nur; Khan, Jamil; Akhtar, Shazia
Cognitionis Civitatis et Politicae Vol. 1 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/politicae.v1i6.2129

Abstract

Challenges such as limited infrastructure, financial constraints, and lack of awareness hinder the effective implementation of open access (OA) initiatives, hindering their continued growth as a means to democratize knowledge and increase research visibility, particularly in developing countries. This study aims to investigate the current state of open access publishing in developing countries, identifying challenges and opportunities that could shape the future of academic dissemination. A mixed-methods approach was used, combining quantitative surveys of researchers and qualitative interviews with key stakeholders, including publishers and policymakers. The study collected data from several developing countries to provide a comprehensive overview of the OA landscape. The findings indicate that while awareness and support for OA publishing are growing, significant barriers remain, including the lack of funding models and inadequate training for researchers on OA practices. The study concludes that fostering a culture of open access in developing countries is crucial for enhancing academic collaboration and information sharing. By addressing identified challenges, such as improving infrastructure and increasing financial support, stakeholders can create a more conducive environment for OA publishing. This study emphasizes the need for collaborative efforts between governments, institutions, and the academic community to harness the potential of open access, ultimately contributing to the advancement of knowledge and research equity in developing countries.
ARTIFICIAL INTELLIGENCE AND GLOBAL DIPLOMACY: REDEFINING POWER STRUCTURES IN THE 21ST CENTURY Sagena, Unggul; Zaman, Khalil; Akhtar, Shazia
Cognitionis Civitatis et Politicae Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/politicae.v2i4.2183

Abstract

The rapid advancement of Artificial Intelligence (AI) has significantly impacted various sectors, including global diplomacy and international relations. In the 21st century, AI is redefining power structures by influencing decision-making processes, national security strategies, and diplomatic negotiations. However, the extent to which AI reshapes global power dynamics and the implications for traditional diplomacy are not yet fully understood. This research explores how AI technologies are altering the balance of power among nations and international institutions. The study aims to examine the role of AI in reshaping global diplomacy and its potential to redefine power hierarchies in international relations. Specifically, it focuses on analyzing the influence of AI on strategic decision-making, cybersecurity, and the geopolitical landscape. The research also seeks to assess the ethical challenges and opportunities that AI presents in the context of diplomacy. A qualitative research method is used, combining case studies of countries actively integrating AI into their diplomatic strategies and expert interviews with diplomats, policymakers, and AI specialists. Data is analyzed thematically to identify emerging patterns in how AI affects power structures and global governance. The findings indicate that AI is both empowering and disrupting traditional diplomatic practices. Countries with advanced AI capabilities gain strategic advantages, while those lagging behind face increased vulnerabilities. AI also introduces new ethical dilemmas in diplomacy, particularly in decision-making transparency and accountability. In conclusion, AI is redefining global power structures by reshaping diplomatic strategies and altering geopolitical alliances. Future research should focus on addressing the ethical implications and ensuring equitable access to AI technologies across nations to prevent widening global disparities.
GREEN CONCRETE INNOVATION: UTILIZING AGRICULTURAL WASTE ASH IN HIGH-STRENGTH CONTRUCTION MIXES Akhtar, Shazia; Rocha, Thiago; Hui, Zhou
Journal of Moeslim Research Technik Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v2i4.2352

Abstract

The construction industry is one of the largest contributors to global carbon emissions, primarily due to cement production. As a result, there is an increasing demand for sustainable alternatives that reduce environmental impact while maintaining high-performance standards. This study explores the use of agricultural waste ash, such as rice husk ash, palm oil shell ash, and sugarcane bagasse ash, as a partial replacement for cement in high-strength concrete mixes. The main objective of this research is to investigate the effects of agricultural waste ash on the mechanical properties and environmental sustainability of high-strength concrete. A comprehensive experimental approach was adopted, involving the preparation of concrete mixes with varying percentages of agricultural waste ash (5%, 10%, 15%, and 20%) and standard tests to assess compressive strength, durability, and environmental impact. The results show that incorporating agricultural waste ash improves the compressive strength and durability of high-strength concrete while significantly reducing the carbon footprint. The study concludes that agricultural waste ash is a viable and sustainable alternative to traditional cement, offering both economic and environmental benefits for the construction industry. The research contributes to the growing body of knowledge on green concrete innovations and provides valuable insights for sustainable construction practices.
Co-Authors Ali, Zara Amin, Rafiullah Arif Muzayin Shofwan, Arif Muzayin Arnes Yuli Vandika Aziz, Safiullah Chai, Som Costa, Bruna Donny Juliandri Prihadi Eddy Silamat, Eddy Eva Manfaatin EVA RIZA, EVA Hui, Zhou idris, Meity H. Judijanto, Loso Khan, Jamil Lim, Sofia Mokoena, Lesedi Muhammad Mustofa Nampira, Ardi Azhar Nur Achmad purwanti, rina Raza, Amir Rocha, Thiago Sagena, Unggul Sijabat, Saut Gracer Souza, Felipe WIJAYA WIJAYA, WIJAYA Yanti Budiasih, Yanti Zaman, Khalil