Articles
<![CDATA[Effectiveness of Deep Learning Models in Cybercrime Prediction ]]>
<![CDATA[Muhammad Mustofa]]>;
<![CDATA[Shazia Akhtar]]>;
<![CDATA[Arnes Yuli Vandika]]>
<![CDATA[ Journal of Moeslim Research Technik Vol. 1 No. 5 (2024) ]]>
Publisher : <![CDATA[Yayasan Adra Karima Hubbi ]]>
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DOI: 10.70177/technik.v1i5.1561
<![CDATA[The rise of cybercrime poses significant challenges to security agencies and organizations worldwide. Traditional methods of crime prediction often fall short in accurately identifying potential threats. As a result, there is a growing interest in leveraging advanced technologies, such as deep learning, to enhance predictive capabilities in cybersecurity. This research aims to evaluate the effectiveness of deep learning models in predicting cybercrime incidents. The study investigates how these models can improve accuracy and reliability compared to conventional prediction techniques. A dataset comprising historical cybercrime incidents was collected and preprocessed to extract relevant features. Various deep learning architectures, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs), were implemented. The models were trained and validated using a portion of the data, while performance metrics such as accuracy, precision, recall, and F1-score were used to assess their predictive capabilities. The findings indicate that deep learning models significantly outperform traditional methods in predicting cybercrime incidents. The best-performing model achieved an accuracy of 92%, showcasing its ability to identify complex patterns in the data. Additionally, deep learning models demonstrated lower false positive rates, enhancing their reliability in real-world applications. The research concludes that deep learning is a powerful tool for predicting cybercrime, offering enhanced accuracy and efficiency. These findings contribute to the field by highlighting the potential of advanced machine learning techniques in improving cybersecurity measures. Future work should focus on refining these models and exploring their applicability in real-time cyber threat detection.]]>
<![CDATA[GREEN CONCRETE INNOVATION: UTILIZING AGRICULTURAL WASTE ASH IN HIGH-STRENGTH CONTRUCTION MIXES ]]>
<![CDATA[Shazia Akhtar]]>;
<![CDATA[Thiago Rocha]]>;
<![CDATA[Zhou Hui]]>
<![CDATA[ Journal of Moeslim Research Technik Vol. 2 No. 4 (2025) ]]>
Publisher : <![CDATA[Yayasan Adra Karima Hubbi ]]>
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DOI: 10.70177/technik.v2i4.2352
<![CDATA[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.]]>
<![CDATA[Illegal Logging and Its Impact on Forest Ecosystems in Southeast Asia ]]>
<![CDATA[Safiullah Aziz]]>;
<![CDATA[Shazia Akhtar]]>;
<![CDATA[Rafiullah Amin]]>
<![CDATA[ Journal of Selvicoltura Asean Vol. 1 No. 4 (2024) ]]>
Publisher : <![CDATA[Yayasan Adra Karima Hubbi ]]>
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DOI: 10.70177/jsa.v1i4.1664
<![CDATA[Illegal logging poses a significant threat to forest ecosystems in Southeast Asia, compromising biodiversity, disrupting ecological balance, and undermining sustainable development efforts. The region's rich biodiversity and vital ecosystem services are increasingly jeopardized by unregulated logging practices, necessitating a thorough investigation of its impacts. This research aims to assess the extent of illegal logging in Southeast Asia and its effects on forest ecosystems. The study seeks to identify key drivers of illegal logging and analyze its implications for biodiversity and local communities. A mixed-methods approach was employed, combining quantitative data from satellite imagery and forest cover assessments with qualitative interviews of stakeholders, including local communities, government officials, and NGO representatives. Case studies from Indonesia, Malaysia, and Thailand were analyzed to provide insights into the dynamics of illegal logging. Findings reveal that illegal logging significantly contributes to deforestation and habitat loss, leading to declines in species populations and disruptions in ecosystem functions. Local communities reported negative impacts on their livelihoods and increased conflicts with wildlife as a result of habitat degradation. The study concludes that addressing illegal logging is crucial for the conservation of forest ecosystems in Southeast Asia. Effective governance, community engagement, and sustainable forest management practices are essential to combat illegal activities and protect biodiversity. Collaborative efforts among stakeholders will be vital for creating resilient forest ecosystems in the region.]]>
<![CDATA[FOREST-BASED LIVELIHOODS AND SOCIAL JUSTICE: AN ANALYSIS OF BENEFIT-SHARING MECHANISMS IN INDONESIA'S SOCIAL FORESTRY SCHEMES ]]>
<![CDATA[Loso Judijanto]]>;
<![CDATA[Rafiullah Amin]]>;
<![CDATA[Shazia Akhtar]]>
<![CDATA[ Journal of Selvicoltura Asean Vol. 2 No. 4 (2025) ]]>
Publisher : <![CDATA[Yayasan Adra Karima Hubbi ]]>
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DOI: 10.70177/jsa.v2i4.2485
<![CDATA[Social forestry programs are globally promoted as a key strategy, but their equitable outcomes are critical. Indonesia's ambitious social forestry agenda aims to reallocate millions of hectares, prompting this research to critically analyze benefit-sharing mechanisms across key schemes (Hutan Desa, HKm, Hutan Adat). The objective was to evaluate their effectiveness in promoting social justice and community livelihoods. This study employed a qualitative, multi-site case study approach, utilizing 120 interviews and policy analysis through a social justice framework. The findings reveal a significant gap between policy goals and reality: while land tenure improved, benefits often fail to be equitably distributed, being captured by local elites and marginalizing vulnerable groups. Furthermore, procedural justice remains weak due to limited community participation in decision-making. The novelty lies in this critical, justice-focused evaluation of Indonesia's national program. The implication is that for Indonesia's social forestry to succeed, a fundamental redesign of benefit-sharing mechanisms is required. Policy must explicitly embed distributive, procedural, and recognitional justice principles to ensure meaningful livelihood improvements for the poorest and most marginalized community members.]]>
<![CDATA[Fostering Academic Resilience: The Efficacy of Solution-Focused Brief Counseling (SFBC) in Alleviating Test Anxiety Among High-Achieving Adolescents ]]>
<![CDATA[Felipe Souza]]>;
<![CDATA[Bruna Costa]]>;
<![CDATA[Shazia Akhtar]]>
<![CDATA[ Research Psychologie, Orientation et Conseil Vol. 2 No. 6 (2025) ]]>
Publisher : <![CDATA[Yayasan Adra Karima Hubbi ]]>
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DOI: 10.70177/rpoc.v2i6.2332
<![CDATA[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.]]>
<![CDATA[Implementation of Quantum Error Correction Code on Qubit Superconducting to Improve Quantum Computing Stability ]]>
<![CDATA[Jamil Khan]]>;
<![CDATA[Shazia Akhtar]]>;
<![CDATA[Zara Ali]]>
<![CDATA[ Journal of Tecnologia Quantica Vol. 1 No. 4 (2024) ]]>
Publisher : <![CDATA[Yayasan Adra Karima Hubbi ]]>
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DOI: 10.70177/quantica.v1i4.1681
<![CDATA[The background of this research focuses on the stability of quantum computing, which is a major challenge in the development of quantum technology. Superconducting qubits are known to be prone to errors due to environmental disturbances and noise, which hinders computational accuracy. Quantum error correction code (QECC) emerged as a solution to solve the problem by detecting and correcting errors that occur in qubits. This study aims to evaluate the application of QECC to superconducting qubits in improving the stability and accuracy of quantum computing. The method used was a quantitative experiment by comparing the qubit error rate before and after the implementation of QECC, with measurements on bit-flip, phase-flip, and decoherence errors. The results showed that the application of QECC successfully reduced the bit-flip and phase-flip error rates from 15.3% to 5.2% and 12.4% to 4.8%, respectively, while the decoherence decreased from 25.6% to 9.3%. These findings suggest that QECC can significantly improve the stability of quantum computing on superconducting qubits. The conclusion of this study is that the implementation of QECC can be an important step in improving efficiency and accuracy in quantum computing systems, although there are still limitations related to scalability and resources required for deployment in larger systems]]>
<![CDATA[Exploring Teacher Creativity in Developing Project-Based Learning Models in Indonesian Elementary Schools ]]>
<![CDATA[Amir Raza]]>;
<![CDATA[Shazia Akhtar]]>;
<![CDATA[Rafiullah Amin]]>
<![CDATA[ Journal of Loomingulisus ja Innovatsioon Vol. 1 No. 5 (2024) ]]>
Publisher : <![CDATA[Yayasan Adra Karima Hubbi ]]>
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DOI: 10.70177/innovatsioon.v1i5.1709
<![CDATA[Teacher creativity plays a critical role in enhancing the quality of education, particularly in elementary schools. However, limited studies have explored how teachers develop innovative learning models tailored to students’ needs in the Indonesian context. This study aims to investigate the strategies employed by teachers to design project-based learning (PBL) models and assess their impact on students’ engagement and critical thinking skills. Employing a qualitative research method, data were collected through interviews, classroom observations, and document analysis involving 15 elementary school teachers across three regions in Indonesia. The findings reveal that teachers utilized diverse approaches, such as integrating local culture, leveraging digital tools, and fostering collaborative learning, to enrich PBL designs. Additionally, students exhibited increased motivation and improved problem-solving abilities when engaging in these models. However, challenges such as limited resources and training opportunities hindered optimal implementation. In conclusion, this study highlights the potential of teacher creativity in shaping effective PBL models and underscores the importance of institutional support for professional development. Future research should focus on scaling successful practices and addressing existing barriers.]]>
<![CDATA[Transformational Leadership and its Influence on Building a Culture of Innovation within Technology Firms ]]>
<![CDATA[Wijaya Wijaya]]>;
<![CDATA[Shazia Akhtar]]>;
<![CDATA[Jamil Khan]]>;
<![CDATA[Saut Gracer Sijabat]]>
<![CDATA[ Journal of Loomingulisus ja Innovatsioon Vol. 2 No. 5 (2025) ]]>
Publisher : <![CDATA[Yayasan Adra Karima Hubbi ]]>
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DOI: 10.70177/innovatsioon.v2i5.2580
<![CDATA[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. ]]>
<![CDATA[Open Access in Developing Countries: Challenges and Opportunities in Academic Publishing ]]>
<![CDATA[Nur Achmad]]>;
<![CDATA[Jamil Khan]]>;
<![CDATA[Shazia Akhtar]]>
<![CDATA[ Cognitionis Civitatis et Politicae Vol. 1 No. 6 (2024) ]]>
Publisher : <![CDATA[Yayasan Adra Karima Hubbi ]]>
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DOI: 10.70177/politicae.v1i6.2129
<![CDATA[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.]]>
<![CDATA[ARTIFICIAL INTELLIGENCE AND GLOBAL DIPLOMACY: REDEFINING POWER STRUCTURES IN THE 21ST CENTURY ]]>
<![CDATA[Unggul Sagena]]>;
<![CDATA[Khalil Zaman]]>;
<![CDATA[Shazia Akhtar]]>
<![CDATA[ Cognitionis Civitatis et Politicae Vol. 2 No. 4 (2025) ]]>
Publisher : <![CDATA[Yayasan Adra Karima Hubbi ]]>
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DOI: 10.70177/politicae.v2i4.2183
<![CDATA[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.]]>
