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This study explores the intersection of classical Islamic philosophical thought and modern environmental ethics to propose a Sharia-based eco-theology model for addressing global sustainability challenges. It investigates key Islamic environmental principles, such as khalifah (stewardship), amanah (trustworthiness), and mizan (balance), which emphasize humanity’s responsibility to protect and preserve the environment. These values, derived from Islamic teachings, offer a moral and spiritual framework for ecological stewardship, aligning closely with contemporary concerns like sustainability, biodiversity preservation, and climate change mitigation. The research integrates these Islamic principles with modern ecological ethics, including ecocentrism, deep ecology, and environmental justice, to construct a holistic eco-theological model. Through this framework, the study emphasizes the importance of balancing ecological, economic, and social factors to promote environmental justice. The findings suggest that Islamic eco-theology can play a significant role in fostering environmental responsibility within Muslim communities and beyond, contributing to global sustainability efforts. Practical applications of these principles are seen in educational initiatives, such as the incorporation of eco-theology into curricula at Islamic institutions, and in community-based environmental projects. The research also highlights the challenges and limitations of traditional interpretations of Islamic environmental ethics, suggesting the need for progressive and adaptive approaches in addressing modern environmental issues. Future research directions include exploring the integration of this eco-theology in policy-making, Islamic education, and cross-cultural applications, ensuring its relevance to diverse communities facing environmental challenges.

Generative artificial intelligence tools have recently attracted a great deal of attention. This is because of their huge advantages, which include ease of usage, quick generation of answers to requests, and the human-like intelligence they possess. This paper presents a vivid comparative analysis of the top 9 generative artificial intelligence (AI) tools, namely ChatGPT, Perplexity AI, YouChat, ChatSonic, Google's Bard, Microsoft Bing Assistant, HuggingChat, Jasper AI, and Quora's Poe, paying attention to the Pros and Cons each of the AI tools presents. This comparative analysis shows that the generative AI tools have several Pros that outweigh the Cons. Further, we explore the transformative impact of generative AI in Natural Language Processing (NLP), focusing on its integration with search engines, privacy concerns, and ethical implications. A comparative analysis categorizes generative AI tools based on popularity and evaluates challenges in development, including data limitations and computational costs. The study highlights ethical considerations such as technology misuse and regulatory challenges. Additionally, we delved into AI Planning techniques in NLP, covering classical planning, probabilistic planning, hierarchical planning, temporal planning, knowledge-driven planning, and neural planning models. These planning approaches are vital in achieving specific goals in NLP tasks. In conclusion, we provide a concise overview of the current state of generative AI, including its challenges, ethical considerations, and potential applications, contributing to the academic discourse on human-computer interaction.

This research aims to analyze and evaluate the implementation of fulfilling prisoners' rights at the Class IIB Demak Detention Center. Fulfilling prisoners' rights is an important aspect in the criminal justice system which focuses on rehabilitation and social reintegration. This research uses a qualitative approach with data collection techniques through observation, interviews and documentation studies. The results of the research show that the implementation of fulfilling the rights of prisoners at the Class IIB Demak Detention Center experiences a number of challenges. Some rights, such as the right to health facilities, education and work, have not been fully fulfilled optimally. Limited facilities and infrastructure, a lack of manpower, and internal regulations that do not fully support the fulfillment of prisoners' rights are the main factors for deviations. However, this research also identified several good practices in fulfilling prisoners' rights, such as the existence of rehabilitation programs that focus on skills development and education. Collaborative efforts between internal and external parties are also recognized as a positive step in improving the living conditions of prisoners. Based on these findings, this research recommends improvements in the management of facilities and infrastructure, increasing the number of workers, as well as improving internal regulations to optimally support the fulfillment of prisoners' rights at the Demak Class IIB Detention Center. It is hoped that the results of this research can contribute to improving the system of detention and rehabilitation of prisoners in Indonesia in general.

This research discusses the role of integration of leadership models, influence tactics, and the application of power in an organizational context. Effective leadership requires not only strong leadership skills, but also the ability to combine intelligent influence tactics and the appropriate application of power. The integration of these three elements is considered crucial in forming optimal organizational results. This research uses a literature analysis approach and empirical study to explore the relationship between integrated leadership models, influence tactics, the application of power, and their impact on organizational performance. The findings of this study highlight the importance of aligning leadership strategies with effective influence tactics and the judicious exercise of power to achieve desired organizational goals. Practical implications and recommendations for organizational leaders and managers are also discussed.

Islamic boarding schools, as traditional Islamic educational institutions, have an important role in forming the character, morals and faith of the younger generation in Indonesia. In facing the demands of increasingly modern times, marketing management has become an integral part of the sustainability and development of Islamic boarding schools. This article discusses the importance of marketing management in the context of Islamic boarding schools, as well as the changes and challenges faced in finding a balance between tradition and modernity. Islamic boarding school marketing management involves identifying the target audience, developing an image and brand, utilizing technology, and measuring and evaluating results. Islamic boarding schools must understand who their potential students are, build a positive image, utilize technology, and measure the effectiveness of marketing efforts. The main challenge is to maintain traditional values ​​while opening up to elements of modernity. This can be achieved with technology integration, a unified approach, and partnerships with the business world. Proper marketing management allows Islamic boarding schools to remain relevant in educating the younger generation who are religiously and morally strong while remaining competitive in an increasingly modern world.Thus, marketing management in Islamic boarding schools is key to maintaining and enhancing their role in society, helping them move from tradition to modernity with success.  

Visual merchandising is an important strategy in the retail world which aims to attract customers, increase sales and strengthen a company's brand image. However, this concept also has the potential to provide wider benefits to society in general. This community service involves direct observation of visual merchandising practices at Kedjora Grosir Magelang MSMEs, as well as interviews with shop owners and the local community. The findings show that by using the right visual merchandising strategies, stores can become more environmentally friendly, promote local products, and provide education about relevant social issues. Community service through visual merchandising can provide benefits such as increasing awareness of environmental and social issues, empowering local producers, and creating an inclusive shopping environment for all levels of society. In addition, this initiative can also increase the sustainability of the local economy and create stronger relationships between stores and the surrounding community. This community service shows that visual merchandising is not just about creating aesthetically appealing displays, but also about harnessing the power of retail stores to have a positive impact on society. Therefore, the integration of community service principles in visual merchandising strategies can be a significant step in building sustainable relationships between business and society.

Implementation of the VARK Model (Visual, Auditory, Reading/Writing, Kinesthetic) in the context of classroom mastery is a strategy that can provide a more inclusive and effective approach in increasing student achievement. This research aims to explore how implementing the VARK model can improve students' learning experiences and their academic performance. The research method used is a literature study which involves analysis of relevant sources regarding the VARK concept and its application in an educational context. The research results show that by understanding diverse learning preferences, educators can design learning experiences that better suit students' individual needs. Through the integration of different learning strategies, such as the use of pictures and diagrams for visual students, group discussions for auditory students, reading and writing assignments for students who prefer learning through text, as well as practical activities or experiments for kinesthetic students, students can be more engaged in learning and gaining a deeper understanding. This research also highlights the importance of flexibility in teaching, adapting to changing student learning preferences, and evaluating the effectiveness of the learning strategies used. Although the VARK model has advantages in providing guidance for inclusive teaching, it is important to remember that students' learning preferences can change and that various factors also influence students' academic performance.

Hybrid learning, an educational approach that amalgamates traditional face-to-face instruction with technological tools, has emerged as a pivotal strategy in higher education. Contemporary pedagogical theories such as constructivism, active learning, and humanistic approaches play integral roles in shaping hybrid learning frameworks. The integration of technology within educational settings fosters a comprehensive and student-centric learning environment. Proficiency in learning design principles, motivation theories, and online learning paradigms is imperative for comprehending the intricacies of hybrid learning methodologies. This study adopts a qualitative descriptive methodology to explore students' comprehension of hybrid learning within higher education contexts. The participants of this study are first-semester English students enrolled at Widya Karya Catholic University. The research aims to offer valuable insights into pedagogical discourse and the implementation of hybrid learning strategies within higher education institutions. By shedding light on students' perspectives and experiences, this research endeavors to contribute significantly to the advancement of pedagogical practices and the refinement of hybrid learning methodologies in higher education settings.

This study investigates the impact of digital tools on collaborative learning among secondary school students. By analyzing various online platforms and educational apps, we examine how these tools foster teamwork, communication, and problem-solving skills. Data were collected from a sample of 300 students across five schools, using surveys and focus groups. Results show that students who used digital tools for collaboration demonstrated significant improvements in engagement, critical thinking, and peer interaction. The study concludes that integrating digital tools into classroom activities can enhance the effectiveness of collaborative learning.

Burglary involves forced or unauthorized entry, which leads to damage or loss of property having monetary or emotional value and, more severely, puts lives at risk. The dire need for the safety of lives and properties has attracted so much research on burglary alert system using Internet of Things (IoT) technology. Most of the research focused on alerting the users of burglary attempts using any or a combination of two notification methods: SMS, call, and email. This study emphasizes three-mode notification that combines SMS, call, and email using the application of IoT technology in a burglary alert system, which uses a Passive Infrared (PIR) sensor for burglar detection to ensure that Homeowners or authorized personnel get alerts in events of imminent attempt to break-ins. The study also details the sensor integration with its supporting components, such as the central hub or microcontroller, buzzer, LED, and network interface in the development of the system. The software was developed to facilitate seamless integration with the hardware, ensuring timely and accurate event detection and subsequent alert generation using Arduino IDE programming language, a framework based on the C++ language. The system effected the 3-mode notification to ensure that users get notification in case of an imminent break-in since the failure of the three modes simultaneously is extremely rare. The system’s performance based on its responsiveness on the 3-mode notifications was evaluated, and an average of 83.56% responsiveness was obtained, indicating an acceptable response time.

This paper explores the integration of global citizenship education (GCE) in the curricula of select Asian universities. Through a survey of faculty members and curriculum developers, the study analyzes current GCE initiatives and identifies key factors that influence their implementation. Findings suggest that while GCE is increasingly valued, there are challenges related to funding, curriculum rigidity, and cultural relevance. The study proposes strategies for effectively embedding GCE in higher education curricula to cultivate global competencies in students.

This research examines the role of language proficiency in determining academic success among international students. Using a case study approach, the study focuses on international students across several disciplines to assess the impact of language skills on academic performance, participation, and peer integration. Results demonstrate that language proficiency significantly correlates with academic outcomes and engagement levels, emphasizing the need for universities to provide targeted language support services.

Hybrid learning has emerged as a significant strategy in higher education, combining face-to-face learning with technology. Theoretical discussions on hybrid learning involve an understanding of contemporary learning concepts, such as constructivism, active learning, and humanistic approaches. The integration of technology in the learning process is seen as a key element for creating a holistic and student-centered learning experience. Instructional design principles, motivation theories, and understanding online learning concepts are also important in understanding the dynamics of hybrid learning. This research was conducted using a qualitative descriptive approach which purpose is to analyze students’ response to hybrid learning in higher education. The students in this research are the first semester students at Widya Karya Catholic University who are taking an English subject. Hopefully that this research gives a significant contribution to the development of pedagogical thinking and the practical application of hybrid learning in higher education institutions.

This research aims to analyze the role of the Management Information System (SIM) in supporting the decision-making process at the North Sumatra Land Agency Regional Office. This study explores the integration, reliability and contribution of information systems used in managing property and land information and their impact on the efficiency and effectiveness of decisions. The research methodology includes surveys of system users, interviews with top-level managers, and documentation of analyzes related to the technological infrastructure implemented. The data collected was analyzed using qualitative methods to understand the adequacy of the system, its suitability to user needs, and its contribution to the decision-making process. The research results show that the implemented Management Information System has a number of advantages, including efficient data management, better information accessibility, and real-time data availability. However, challenges such as data security and the need for increased integration with other systems were identified as potential improvements. In the context of decision making, MIS is proven to play an important role in providing timely and accurate information for management in making strategic decisions regarding land ownership, document updates and property transfers. Recommendations are prepared based on research results to improve the efficiency and effectiveness of the Management Information System to support better decision making at the North Sumatra Land Agency Regional Office. This research provides valuable insights for managers and developers of information systems in the context of the Land Agency, as well as a basis for improving the system to increase its decision-making role to a more strategic and responsive nature.

Education in the current digital era demands the use of smart technology and social media platforms in the learning process to suit the character of the digital generation. However, the competence of lecturers in Indonesia in this regard is still limited. Therefore, the workshop "Revolutionary Strategies for Modern Learning Through the Integration of Smart Technology and Social Media Platforms for Digital Generation Education" is important to implement. This workshop aims to provide understanding and skills to 187 lecturers in implementing technology and social media for learning innovation for digital generation students. Workshop material includes smart technology trends, use of social media platforms, digital evaluation and assessment strategies, as well as discussion of challenges and opportunities for integrating technology and social media in digital era learning. Participants' enthusiasm was quite high and the evaluation results showed that 91% were interested in implementing modern learning strategies after the workshop.

The rapidly evolving landscape of cryptanalysis necessitates an urgent and detailed exploration of the high-degree non-linear functions that govern the relationships between plaintext, key, and encrypted text. Historically, the complexity of these functions has posed formidable challenges to cryptanalysis. However, the advent of deep learning, supported by advanced computational resources, has revolutionized the potential for analyzing encrypted data in its raw form. This is a crucial development, given that the core principle of cryptosystem design is to eliminate discernible patterns, thereby necessitating the analysis of unprocessed encrypted data. Despite its critical importance, the integration of machine learning, and specifically deep learning, into cryptanalysis has been relatively unexplored. Deep learning algorithms stand out from traditional machine learning approaches by directly processing raw data, thus eliminating the need for predefined feature selection or extraction. This research underscores the transformative role of neural networks in aiding cryptanalysts in pinpointing vulnerabilities in ciphers by training these networks with data that accentuates inherent weaknesses alongside corresponding encryption keys. Our study represents an investigation into the feasibility and effectiveness of employing machine learning, deep learning, and innovative random optimization techniques in cryptanalysis. Furthermore, it provides a comprehensive overview of the state-of-the-art advancements in this field over the past few years. The findings of this research are not only pivotal for the field of cryptanalysis but also hold significant implications for the broader realm of data security.

Digital literacy has become a key foundation for educational innovation and economic participation in the 21st century. As global economies transition toward digitalization, integrating digital competencies into senior high school curricula is increasingly viewed as essential for supporting Sustainable Development Goal 8 (SDG 8), which emphasizes decent work and inclusive economic growth. This study investigates the role of public policy in shaping digital literacy education in senior high schools through a comparative case study of Indonesia, the Philippines, and Canada. Employing qualitative policy analysis, the research explores how each country’s policy framework conceptualizes, implements, and evaluates digital literacy initiatives. The analysis focuses on curriculum integration, resource allocation, and stakeholder involvement, while also examining how these programs contribute to employability and economic resilience. The findings reveal notable differences in policy design and institutional commitment, with Canada demonstrating a more systematic integration of digital literacy, the Philippines emphasizing access and equity, and Indonesia facing challenges related to resource disparities and curriculum consistency. These variations illustrate how national contexts influence the inclusiveness and effectiveness of digital literacy policies. The study concludes with recommendations for policymakers to design context-sensitive, equitable, and future-oriented digital literacy strategies that align with labor market demands and promote sustainable economic growth.

Local wisdom-based character education has a strategic role in forming a generation with integrity, strong personality, and high moral awareness. This study aims to analyze the implementation of local wisdom-based character education in learning and identify effective strategies and obstacles faced in its implementation. Using a qualitative approach, data were collected through interviews, observations, and documentation studies. The results of the study indicate that the integration of local wisdom values ​​in education can increase cultural awareness, strengthen national identity, and form positive characters in students. However, the implementation of local wisdom-based character education still faces challenges, such as lack of understanding of educators, minimal policy support, the influence of globalization, and limited resources. Therefore, synergy is needed between schools, families, communities, and the government so that local wisdom-based character education can run effectively and sustainably.    

Artificial Intelligence (AI)-based Decision Support Systems (DSS) have become a central component of digital transformation initiatives across various industries. While prior studies have primarily emphasized technical aspects such as accuracy, performance, and computational efficiency, less attention has been given to the integration of human-centered principles and scalable architectural design. This study aims to examine how AI-based DSS can be enhanced through the combined application of Human-Centered Artificial Intelligence (HCAI) principles and scalable AI architecture. Using a qualitative, literature-based research methodology, this study systematically analyzes peer-reviewed publications indexed in Scopus to identify key dimensions influencing the effectiveness and sustainability of AI-driven DSS. The findings indicate that technical capabilities alone are insufficient to ensure successful adoption and long term impact. Instead, transparency, explainability, ethical governance, and user empowerment core elements of HCAI are critical for fostering trust and user acceptance. Furthermore, scalable architectural principles, including modularity, interoperability, and adaptability, are essential for enabling AI-based DSS to operate reliably in large-scale and dynamic environments. This study contributes a unified conceptual framework that bridges technical scalability and human-centered design, offering theoretical insights and practical guidance for developing trustworthy, scalable, and sustainable AI-based Decision Support Systems in digital transformation contexts.

The rapid growth of cross-platform applications has significantly increased the volume and diversity of sensitive user data processed across heterogeneous and distributed environments. Personally identifiable information, device identifiers, behavioral data, and financial information are routinely collected to support personalization, analytics, and service optimization. While these practices enhance application functionality and user experience, they also introduce substantial privacy risks, including unauthorized data access, device fingerprint–based re-identification, cross-user data leakage, and large-scale data breaches. These risks are further amplified by distributed processing architectures and extensive third-party library integrations commonly used in modern cross-platform systems. This study aims to systematically analyze privacy issues in cross-platform applications by examining the types of sensitive data involved, identifying dominant privacy threats, and reviewing state-of-the-art privacy-preserving mitigation strategies. A systematic literature-based methodology was employed, focusing on recent Scopus-indexed journal articles, conference papers, and book chapters. The analysis synthesizes findings using thematic categorization and a conceptual research framework that maps sensitive data sources to privacy threats and corresponding mitigation mechanisms. The results indicate that privacy risks in cross-platform applications originate not only from external attacks but also from internal architectural weaknesses, such as flawed authorization logic and excessive data sharing across system components. Privacy-preserving techniques including differential privacy, federated learning, blockchain-based data governance, secure multi-party computation, and fine-grained access control mechanisms are shown to provide stronger privacy guarantees compared to conventional centralized approaches. However, these techniques also present trade-offs related to system complexity and performance. Overall, the study highlights the importance of adopting a multi-layered, privacy-by-design approach to ensure sustainable, trustworthy, and regulation-compliant cross-platform application development.