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This study aims to explore the concept of reconciliation in Christian theology as a philosophical foundation for an alternative criminal justice model involving the LGBT community. The retributive criminal law approach is often considered ineffective in addressing the complexities of legal, social, and religious conflicts related to religious sexual minorities. Using a qualitative method and a constructivist approach, this study analyzes the meaning of reconciliation through sacred texts, doctrine, and interviews with theologians, legal practitioners, and the Christian LGBT community. This approach reveals the subjective understanding of the actors regarding reconciliation and justice. The findings show that the core of reconciliation theology is the restoration of relationships, recognition, and transformation, which can form an ethical framework for the restorative justice model. This model offers a holistic solution, not only addressing legal consequences but also restoring social harmony by respecting individuals' dual identities. The article concludes that the integration of theological insights can lead to a more inclusive and transformative criminal justice paradigm for the LGBT community, resulting in a more humane and just resolution.

Article 28H paragraph (1) of the 1945 Constitution of the Republic of Indonesia guarantees the right of every person to live in a good and healthy environment, while Article 33 paragraph (4) of the 1945 Constitution of the Republic of Indonesia affirms the principle of sustainable and environmentally friendly development as the basis for natural resource management. These constitutional norms are implemented through Law No. 32 of 2009 concerning Environmental Protection and Management, which requires every business activity to prevent any pollution and/or environmental damage. In addition, through Law Number 11 of 2020 concerning Job Creation as amended by Law Number 6 of 2023, there have been significant changes in the business licensing system and environmental protection instruments, including the integration of environmental approval into risk-based business licensing as regulated in Articles 22 and 23. In the context of oil palm plantations in Sumatra, these changes in norms have legal implications for the fulfillment of business actors' legal obligations in environmental protection and management. This study aims to analyze the impact of oil palm plantation exploitation in Sumatra from an environmental law perspective, particularly in relation to legal violations based on the normative framework of applicable laws and regulations after the enactment of the Job Creation Law.

This study aims to design, implement, and test a prototype that automates three functions, namely watering, fertilizing, and pest control based on Arduino Uno with the ability to directly monitor soil moisture and pH. This system is equipped with four main types of sensors. Soil condition monitoring involves an FC-28 soil moisture sensor and a soil pH sensor, water level measurement involves an HC-SR04 ultrasonic sensor, and pest detection in the plant area involves a RIP sensor. All data obtained from these sensors is then processed by the Arduino Uno microcontroller to automatically activate actuators such as water pumps, liquid fertilizer pumps, buzzers, and DC motors according to soil conditions and plant needs. Prototype testing was conducted on simulated land with various scenarios of moisture, soil pH, and pest activity. The test results revealed that the system was proven to be able to significantly optimize water and fertilizer utilization, as well as reduce pest disturbances that could potentially damage plants.  In addition, this system also displays the operational status directly through an LCD screen, making it easy for users to monitor. The advantage of this system is its multi-function integration in a single device that is cost-effective and easy to operate. In the future, the functionality of this system can be improved through integration with Internet of Things (IoT) technology, enabling remote monitoring and control with greater efficiency. More broadly, this study is expected to support increased production and sustainable agricultural practices in Indonesia.

This community service activity aims to socialize the development of Human Resource (HR) competencies in the Fashion Design Department at SMK Al Ihsan to face the transformation of the fashion industry based on digital technology. The main challenge faced is the gap (mismatch) between the school curriculum, which still focuses on conventional production techniques, and the needs of an industry that is now digital and automated. The method used in this activity is a participatory and educational approach that includes four stages: needs observation, delivery of theoretical material (lecturing), focused group discussions (FGD) accompanied by application demonstrations, and evaluation. The results of the activity show an increase in participants' understanding of concepts such as eco-fashion, the creative economy, as well as the introduction of digital technologies like 3D design applications (CLO3D) and digital pattern making. Through the integration of four competency pillars hard skills, soft skills, digital skills, and entrepreneurial skills it is expected that graduate profiles can transform from operational seamstresses into competitive fashionpreneurs in the global market. The conclusion of this activity emphasizes that the Link and Match strategy and mastery of technological literacy are key to effectively reducing the skills gap of students in the Industry 4.0 era.

Cloud-native systems are essential for modern software development, offering enhanced scalability, flexibility, and resilience through cloud computing environments. However, ensuring the reliability and performance of these systems presents a challenge due to their dynamic and distributed nature. Traditional testing methods, such as unit and integration testing, while valuable for detecting individual component defects and interactions, are insufficient for predicting failure rates in complex, cloud-native applications. This study explores the effectiveness of various testing techniques and quality metrics in predicting failure rates within scalable cloud-native systems. A comparative experimental study was conducted using three primary testing techniques: unit testing, integration testing, and chaos testing. The results indicate that chaos testing, when combined with advanced quality metrics such as migration rate and mismigration rate, significantly outperforms traditional methods in predicting failure rates and evaluating system resilience. These findings suggest that chaos testing offers a more comprehensive evaluation, simulating real-world disruptions to test system behavior under stress, which is essential for cloud-native environments where high availability and fault tolerance are critical. The study also highlights the importance of integrating predictive quality metrics, which improve the accuracy of failure predictions and enhance system reliability. The study concludes that for cloud-native systems, a combination of advanced testing techniques and predictive metrics is essential for ensuring high availability, scalability, and reliability in dynamic environments. Future research should focus on refining predictive testing approaches, developing standardized frameworks, and empirically validating new testing methods to address the growing complexity of cloud-native systems.

This study investigates the adoption of adaptive DevOps practices in embedded systems used in safety-critical industrial applications. Traditional DevOps models, which are primarily designed for cloud-based systems, face significant challenges when applied to embedded platforms due to hardware constraints, real-time performance requirements, and stringent safety standards. The research focuses on developing a tailored DevOps framework that integrates continuous integration/continuous delivery (CI or CD) pipelines, automation, real-time monitoring, and safety assurance processes to enhance system reliability, performance, and compliance with regulatory standards. The study uses a case study methodology, involving embedded system teams across multiple industrial sectors, to assess the impact of these adapted DevOps practices on system stability and operational efficiency. Key findings show that the adoption of adaptive DevOps practices led to significant improvements in system reliability, performance, and deployment stability. Continuous feedback mechanisms allowed for early issue detection and faster resolution, leading to enhanced system uptime and responsiveness. Additionally, the integration of safety assurance into the DevOps pipeline ensured that safety-critical systems complied with required safety integrity levels and certification standards. The study further explores the integration of DevOps with embedded safety-critical systems, highlighting the benefits of cross-domain collaboration, enhanced communication, and the ability to address the unique challenges of these platforms. The research also underscores the limitations of conventional DevOps models in embedded systems and presents practical implications for the wider adoption of DevOps in safety-critical industrial applications. Future research is recommended to refine DevOps frameworks for embedded systems, integrating emerging technologies like the Industrial Internet of Things (IIoT) and Digital Twins to further optimize performance, security, and predictive maintenance.

This article examines the integration of constructivist theory in Christian Religious Education (PAK) by emphasizing the role of personal experience as the basis for faith formation. Through a reflective-theological qualitative approach, this research combines the constructivist thought of Piaget, Vygotsky, and Fosnot with a theological perspective on the incarnation of Christ and the work of the Holy Spirit. The analysis suggests that constructivism can be theologically reinterpreted into a new paradigm called the Theo-Constructive Epistemology of Incarnational Faith, in which faith is not simply taught cognitively, but is constructed through life experiences infused by the presence of God. This approach emphasizes that the learning of faith is relational, participatory, and contextual, in line with the nature of God who works in human history. The findings of this study offer a new direction for PAK praxis to be more relevant to digital contexts and cultural plurality, without losing its theocentric orientation. Thus, the integration of constructivism and incarnational theology opens up space for more dynamic, contextual, and transformative learning of faith, while strengthening the relevance of PAK in facing the challenges of modern times.

Teaching fiction in Indonesian language classrooms is often constrained by text-centered instruction and limited use of engaging digital media. In the era of Generation Z learners who are visually and digitally oriented, innovative learning materials are needed to enhance motivation, interpretation, and comprehension of literary texts. This study aims to develop and evaluate a Scribus-based digital magazine for fiction learning by integrating the ADDIE model within a qualitative descriptive framework. The research adopted a qualitative descriptive design comprising five stages of the ADDIE model: Analysis, Design, Development, Implementation, and Evaluation. The study was conducted at SMP Negeri 10 Semarang, involving one Indonesian language teacher and fifteen Grade VIII students, who were selected through purposive sampling. Data were collected through observation, interviews, and documentation, and analyzed using the Miles and Huberman model (data reduction, data display, conclusion drawing). Media and content experts conducted validation to assess the feasibility, usability, and pedagogical quality of the content. Findings revealed that the Scribus-based learning media effectively increased students’ engagement and comprehension in analyzing fictional elements such as plot, character, and setting. Expert validation results indicated a high feasibility level, with mean scores above 85% in design and content quality. Teachers reported improved classroom interaction and creativity, while students expressed enthusiasm for the visual and interactive format. The study concludes that open-source tools, such as Scribus, can provide cost-effective and pedagogically sound alternatives for developing literary learning media. The integration of ADDIE and multimodal design promotes contextual, engaging, and sustainable learning experiences. Future research should explore multimedia enhancements, such as audio storytelling and cross-curricular applications, to broaden the pedagogical impact.

The Local Currency Settlement (LCS) initiative is a strategic instrument to promote ASEAN regional financial integration while reducing dependence on the US dollar in trade and investment transactions. Sub-regional cooperation between Indonesia, Malaysia, and Thailand has become an important policy arena to test the effectiveness of LCS as part of the implementation of the ASEAN Economic Community (AEC) Blueprint 2025. This article aims to analyze the role, opportunities, and challenges of LCS implementation within the framework of ASEAN financial integration, focusing on the dynamics of cooperation between the three countries. The research uses a qualitative approach through literature review and policy analysis. Data were obtained from official central bank documents, regional cooperation agreements, international agency reports, and academic literature related to financial integration and regional monetary cooperation. The analysis was conducted descriptively and analytically to identify implementation patterns, structural barriers, and policy implications. The results of the study indicate that LCS contributes to increasing the efficiency of cross-border transactions, reducing exchange rate risk, and strengthening sub-regional ASEAN financial cooperation. However, its implementation remains limited due to differences in financial infrastructure readiness, variations in domestic regulations, and low adoption by business actors. This article emphasizes the importance of policy coordination, regulatory harmonization, and private sector involvement to optimize the role of the LCS in supporting ASEAN financial integration.

Socio-economic challenges faced by tuberculosis (TB) survivors in Indonesia remain substantial, particularly stigma that restricts employment opportunities and hinders social reintegration. This community service program aimed to strengthen the economic capacity of TB survivors through a community-based empowerment approach and health information dissemination via social media. The program involved a TB survivor community in the partner area of the Lampung Sehat Initiative. A participatory method was applied through entrepreneurship training, digital content production assistance, and the distribution of health education materials using Instagram, TikTok, and YouTube. The results indicate that social media was effective not only as a platform for health education but also as a promotional tool for participants’ micro-business products. In addition to improving public literacy regarding TB, social media contributed to stigma reduction by delivering positive narratives and reinforcing the collective identity of the survivor community. The program also encouraged behavioral change, supported the emergence of local leadership, and expanded participants’ social and economic networks. These findings suggest that integrating social media into community-based empowerment initiatives can serve as a social transformation strategy that enhances the sustainability of economic development and social support for TB survivors.

This study investigates the incorporation of Sufi-oriented values into the management practices and production processes of MADA Drinking Water operated by the Ahlus Shafa Wal Wafa Islamic Boarding School Foundation. The research focuses on the Syafi’i ethical concept known as Giti–Gito, which encompasses spiritual and moral values including sincerity, patience, inner richness, holistic physical and spiritual well-being, as well as fairness in sharing resources. The main aim of this study is to examine how these values are implemented within pesantren-based business management and to assess their impact on employees’ work attitudes, leadership styles, and interpersonal relations in the workplace. This research employs a qualitative case study method. Data were gathered through semi-structured interviews, participant observation, and a review of relevant institutional documents. The findings reveal that the implementation of Giti–Gito values has successfully shaped a work environment grounded in religious ethics, social harmony, and humanistic principles. The Giti aspect strengthens employees’ commitment to sincerity, patience, and accountability in carrying out their responsibilities, while the Gito aspect contributes to enhancing employee welfare and fostering a sense of social responsibility. Although challenges remain in reconciling spiritual values with modern management demands, the integration of both spiritual and professional dimensions has demonstrated its effectiveness in creating a productive, ethical, and sustainable organizational environment.

Employee performance is a key factor in determining organizational success in achieving its strategic objectives. Various management studies indicate that employee performance is not solely influenced by individual factors, but is also significantly affected by organizational factors, particularly organizational planning and organizational structure. Effective organizational planning provides a clear direction and strategic framework that guides employees in performing their tasks, while an appropriate organizational structure facilitates coordination, clarifies authority, and supports the efficient execution of work. This study aims to analyze the influence of organizational planning and organizational structure on employee performance through a systematic literature review approach. The research method employed is a systematic literature review by examining relevant national and international journal articles published within the last ten years. Data were collected from reputable academic databases to ensure the credibility and relevance of the sources. The selected studies were analyzed qualitatively to identify patterns, relationships, and key findings related to the research variables. The results of the literature review indicate that systematic and well-formulated organizational planning contributes positively to improving goal clarity, work coordination, and employee motivation. Furthermore, an organizational structure that is aligned with organizational strategies plays an important role in clarifying task distribution, authority lines, and overall work effectiveness. The findings also reveal that organizational planning and organizational structure are interrelated and mutually reinforcing in shaping employee performance. This study concludes that the integration of organizational planning and organizational structure is a crucial factor in enhancing sustainable employee performance. The results of this study are expected to provide both theoretical contributions to organizational management studies and practical references for organizations in designing effective management systems.  

The majority of Kebomas District's residents are connected to working hours during government office hours (Monday through Friday), which creates access obstacles in administering public services due to the high population density and busy community life. In response to these time constraints, the SOS MAS (Service On Saturday in Kebomas District) invention was introduced, which offers services on Saturdays. However, the implementation of this innovation still faces challenges in the form of a low social integration rate and a restricted range of public services that have the potential to sway public opinion. The goal of this research is to assess how the SOS MAS innovation affects community happiness in Kebomas District. A quantitative technique with an associative approach is used in this research. Through an unintentional sampling method, questionnaires were given to 86 individuals in order to gather primary data. With the aid of SPSS, the determinant coefficient and a simple linear regression test were used to analyze the data. The study's findings reveal that the SOS MAS invention has a favorable and substantial influence on community happiness. The regression coefficient of 0.969 and a significance level of 0.000 <0.05 support this. The innovation variable accounted for 59.7% of public happiness, while the remaining 40.3% was impacted by variables not included in the study model, according to the coefficient of determination (R2) test. This result supports the notion that the efficacy of service innovation outside of working hours is a major element in boosting happiness for individuals with limited time. The SOS MAS innovation has been shown to greatly improve public satisfaction. Agencies are encouraged to improve their communication and outreach efforts as well as create SOS MAS innovations that maximize the advantages of innovations that meet community needs.

The Industrial Revolution 4.0 has significantly transformed the education sector, including Islamic education. Digital transformation requires Islamic education to adapt while maintaining Islamic values as the foundation of learning. Islamic education faces challenges such as limited digital competence among educators, unequal technological infrastructure, and curricula that are not yet responsive to digital demands. Therefore, examining Islamic education in this era is essential. This study aims to analyze the role of Islamic education in the Industrial Revolution 4.0, identify challenges and opportunities in digital adaptation, and explore development strategies integrating Islamic values with digital technology. This study employs a literature review method by analyzing relevant national and international journal articles published within the last five years. The findings indicate that Islamic education plays a crucial role in strengthening moral values and character amid rapid technological advancement, while digital integration offers opportunities for adaptive and competitive learning development.

The integration of Augmented Reality (AR) technology into higher education has emerged as a promising approach to enhance collaborative learning experiences. This study aims to design and evaluate an AR multimedia framework that facilitates real time interaction and spatial visualization, creating immersive and engaging learning environments for students. The AR framework was developed with a focus on improving student engagement, collaboration, and learning outcomes through interactive 3D models and real time feedback. By leveraging AR technology, the study sought to address common challenges in traditional learning environments, such as limited student interaction and engagement, and lack of real time feedback. The experimental evaluation involved two student groups: one using the AR-based system and the other using conventional multimedia tools. Findings revealed that students using the AR framework showed significant improvements in engagement, interaction frequency, and collaborative task performance. Additionally, the AR framework contributed to better learning outcomes, including enhanced comprehension, retention of complex concepts, and improved problem-solving skills. The study also highlighted the importance of incorporating a user-centered design approach in developing AR applications to ensure that the system meets the needs and preferences of learners. Qualitative feedback from students indicated that the AR system provided an enriched learning experience, although challenges such as interface navigation were noted. Overall, the study demonstrates the effectiveness of AR in fostering collaborative learning and offers practical insights for its integration into higher education curricula. Future research should explore the integration of AR with other immersive technologies to further enhance collaborative learning experiences.

This study explores the integration of deep learning based approaches in real time video content analysis for intelligent human computer interaction (HCI) in multimedia systems. Traditional video analysis techniques, such as rule-based methods and offline processing, struggle with real time performance and adaptability to complex video data. In contrast, the deep learning model used in this research, particularly Convolutional Neural Networks (CNNs), provides high accuracy in object detection, feature extraction, and real time processing. The integration of CNNs with interactive visualization modules enables dynamic adjustments to video content based on user interactions, ensuring a seamless and engaging user experience. The system was benchmarked in terms of its processing speed, accuracy, and responsiveness, showing significant improvements over traditional approaches in real time video analysis. Moreover, the study demonstrates that combining deep learning with real time visualization enhances the efficiency of interactive multimedia applications, making it suitable for dynamic environments such as surveillance, security monitoring, and interactive media. Despite the system's strong performance, challenges such as computational demands in high-resolution video processing were identified, highlighting the need for further optimization. Future work will focus on optimizing the system for different hardware platforms, incorporating multimodal inputs, and refining deep learning models to address computational bottlenecks. This research contributes to advancing HCI by providing insights into the integration of deep learning for real time video content analysis, which is pivotal for enhancing the interactivity and adaptability of intelligent multimedia systems.

This study explores the integration of adaptive streaming models with edge computing to optimize multimedia delivery, particularly in real-time applications such as video conferencing, live streaming, and virtual reality. The proposed model leverages adaptive compression techniques, including scalable video coding (SVC) and hybrid adaptive compression (HAC), which adjust video quality based on real-time network conditions. The use of edge computing further enhances the model by processing and delivering content closer to the user, reducing latency and optimizing bandwidth usage. The research demonstrates that the edge computing-based adaptive streaming model significantly improves latency by up to 30%, reduces bandwidth consumption, and ensures higher visual quality during video playback, even under fluctuating network conditions. This model addresses key challenges in multimedia streaming, such as maintaining video quality in bandwidth-constrained environments and minimizing buffering times. Furthermore, it enhances the overall Quality of Experience (QoE) for users by providing smoother interactions and real-time responsiveness. The study highlights the potential impact of this model on various fields, including remote education, entertainment, and interactive applications, where low-latency content delivery and high-quality streaming are critical. The findings suggest that integrating AI algorithms for even more efficient compression and expanding edge computing infrastructures will further optimize multimedia streaming in the future, ensuring reliable and high-quality user experiences in increasingly connected environments.

This study explores the role of visual analytics in enhancing decision-making processes within creative industries, focusing on its application to large-scale multimedia datasets. Visual analytics integrates interactive visualization techniques with computational algorithms, enabling users to explore complex datasets intuitively and derive actionable insights. The research centers on the design and implementation of interactive dashboards tailored to the creative sector, particularly film, music, and advertising industries, to facilitate real-time data exploration. The study also investigates the usability of these tools through expert-based evaluations, aiming to assess their effectiveness in supporting informed and timely decision-making. The findings reveal that interactive visualizations significantly improve insight discovery and pattern recognition, enabling decision-makers to uncover hidden trends in large multimedia datasets. However, challenges related to scalability, user acceptance, and real-time processing were encountered during the implementation phase. The research highlights the practical benefits of integrating visual analytics into industry workflows, which include enhanced content creation, audience engagement, and strategic planning. Furthermore, the study identifies key visual analytics techniques such as dynamic dashboards, pattern recognition, data mining, and clustering, which are essential for analyzing multimedia data. The study concludes by emphasizing the potential for wider applications of visual analytics in other sectors, suggesting future research directions to improve tool performance, scalability, and user accessibility, as well as exploring the integration of emerging technologies like artificial intelligence and virtual reality.

The increasing demand for rapid software delivery has led to the widespread adoption of Continuous Integration (CI) and Continuous Deployment (CD) pipelines. These pipelines automate the processes of code integration, testing, and deployment, significantly improving the speed and reliability of software development. However, traditional CI or CD pipelines often overlook security testing, leading to vulnerabilities in the deployed software. To address this gap, this study proposes an integrated framework that embeds automated security testing within the CI or CD process. The framework incorporates security testing tools such as Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), and Vulnerability Assessment and Penetration Testing (VAPT) to ensure continuous security checks throughout the development lifecycle. The experimental results show that the proposed framework enhances early vulnerability detection, with detection rates increasing from 30% to 70%. Additionally, the framework reduces deployment failures from 50% to 20%, demonstrating its effectiveness in improving software dependability. While the integration of automated security testing adds a slight 5% increase in pipeline execution time, this minimal impact does not significantly affect the overall speed of the pipeline. The proposed approach successfully balances security and efficiency, ensuring that software is both secure and delivered at high speed. This research highlights the importance of integrating security into CI or CD pipelines and demonstrates that it is possible to achieve high security without sacrificing the speed of software development. The study also discusses the practical implications for software development teams and suggests areas for future research, including the integration of advanced AI-driven security testing tools and the expansion of the framework's applicability across different software projects.

Autonomous decision-making systems increasingly rely on complex artificial intelligence models to operate in dynamic and safety-critical environments. While these models provide strong predictive capabilities, their black-box nature limits transparency, trust, and accountability. This study proposes a structured research methodology for integrating Explainable Artificial Intelligence (XAI) into autonomous decision-making systems. The research adopts a conceptual–analytical approach to develop an explainability-oriented framework that embeds transparency across perception, decision-making, and action execution stages. The methodology includes literature-driven problem identification, conceptual framework construction, classification and mapping of XAI methods, and formulation of explainability evaluation criteria. The results demonstrate that effective explainability in autonomous systems requires a hybrid integration strategy, combining in-model transparency with post-hoc explanation mechanisms. A structured mapping of XAI techniques to autonomous system components and a conceptual decision-flow diagram are presented to illustrate explainability integration. The findings highlight that layered and context-aware explainability enhances system interpretability, supports human oversight, and improves safety relevance without compromising autonomous operation. This study contributes a reusable methodological foundation for the design and evaluation of explainable autonomous systems, offering practical guidance for future empirical validation and real-world deployment in safety-critical applications.