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This study is motivated by the current need for research on pesantren management using the Balanced Scorecard approach, which is essential to identify areas that require improvement in order to increase public interest. Innovative institutions have the opportunity to adopt the Balanced Scorecard as a strategic management system for managing long-term strategies. The research employs a qualitative method and was conducted at Pondok Pesantren Anharul Ulum Soko Plumpungrejo Kademangan Blitar and Pondok Pesantren Bustanul Mutaallimat Dawuhan Kauman Kepanjen Kidul in Blitar City. Data collection techniques include participant observation, in-depth interviews, and documentation. Data analysis techniques involve data condensation, data display, and conclusion drawing or verification. The findings reveal that target setting to build public interest is carried out through several measures. First, institutional development involves transforming pesantren from a salafi model into an integrated institution equipped with formal education facilities. This transformation includes requiring students to reside on-site and implementing strict selection processes to maintain the quality of the pesantren. Additionally, programs and curricula are designed to align with community needs by considering feedback from prospective students' parents, many of whom desire a combination of formal education, pesantren learning, and Quran memorization. Furthermore, the performance of pesantren in building public interest is measured through four perspectives: financial perspective, customer satisfaction perspective, internal business process perspective, and growth and learning perspective.

This study aims to determine the level of teacher work discipline at SDIT Ash Haabul Kahfi Lubuk Alung. Work discipline is an important factor in improving the quality of education because it is directly related to the responsibility and professionalism of teachers in carrying out their duties. The method used in this research is a quantitative approach with descriptive techniques. Data were obtained through observation, questionnaires, and documentation, which were then analyzed to see the tendency of teachers' disciplinary behavior. The results showed that the overall level of teacher discipline was in the high category. Teachers at SDIT Ash Haabul Kahfi Lubuk Alung show punctuality, obedience to rules, and consistent execution of tasks. This reflects an effective school management system and teachers' personal commitment to carrying out their professional responsibilities. This good work discipline has a positive impact on the learning environment and supports the achievement of educational goals at school. 

The management of educational facilities and infrastructure is a process of organizing all facilities to ensure that the educational process in an educational institution can take place effectively and efficiently. The purpose of this study is to determine the management of facilities and infrastructure used to support the learning process in the Geography subject at SMAN 2 Tanjung Morawa. This research uses a qualitative approach. The population and sample in this study are the Head of Facilities and Infrastructure and the Geography teachers at SMAN 2 Tanjung Morawa. Data in this study were collected through interviews, documentation, and literature review. Subsequently, the data were analyzed using thematic analysis techniques. The results of this study indicate that the management of facilities and infrastructure at SMAN 2 Tanjung Morawa is still suboptimal in terms of planning, procurement, utilization, management, and evaluation systems, resulting in the geography learning process at this high school still relying on lecture methods and manually visualizing geography lessons using a blackboard.

The COVID-19 pandemic has exposed fundamental vulnerabilities in global supply chain systems, such as over-reliance on single suppliers and a lack of operational visibility. This has highlighted the urgent need for a new approach to risk management—one that leverages smart technologies. Artificial Intelligence (AI) has emerged as a promising solution, thanks to its capabilities in predictive analytics and adaptive, data-driven decision-making in real time. This study aims to develop an AI-based predictive system framework to enhance the resilience of global supply chains in the face of post-pandemic disruptions. Using the Design Science Research (DSR) methodology, the research designs and evaluates a system that integrates algorithms such as LSTM, Random Forest, Natural Language Processing (NLP), and Reinforcement Learning. It also applies a federated learning approach to ensure data privacy among supply chain partners. The study analyzes over 12,000 data entries from diverse sources, including IoT devices, weather data, demand trends, and social media. The system's effectiveness is evaluated through a combination of quantitative methods (PLS-SEM analysis on 103 respondents) and qualitative methods (interviews with 12 industry executives). The findings show that AI-driven predictive analytics significantly improve supply chain resilience (β = 0.67; p < 0.001), with demand forecasting accuracy increasing by up to 40% and delivery times reduced by 30%. Conceptually, the study contributes by designing a resilient model that integrates real-time visibility, adaptability, and cross-organizational collaborative learning. Unlike traditional approaches focused solely on automation, this framework offers a more holistic solution, addressing key gaps in the literature. The implication is clear: AI is becoming a strategic asset in building sustainable, resilient supply chains amid ongoing global uncertainty.

The threat of Distributed Denial of Service (DDoS) is increasing develop along with increasing use of the Internet of Things (IoT) and Software-Defined Networking (SDN) architecture . Although SDN provides convenience in management network , properties its centralized control make it prone to to flooding attacks that can paralyze controller performance . Detection method conventional , such as approach statistics and machine learning, still own limitations in matter accuracy , high false positive rate , and dependence on extracted features manually . To overcome problem said , research This propose a hybrid deep learning based DDoS detection and mitigation model that combines Convolutional Neural Network (CNN) to extraction feature spatial from RGB and Gated Recurrent Unit (GRU) images for understand temporal correlation between traffic data network . System tested through network test-bed Mininet based with Ryu/Floodlight controller, using simulation DDoS attacks (Hping3, LOIC) and normal traffic (video streaming, HTTP server). Traffic data cross recorded in PCAP format, processed become RGB image measuring 200×200 pixels, and labeled based on type traffic . Evaluation results with metric accuracy , precision, recall, F1-score, and MCC show that the CNN–GRU model has performance more superior compared to baseline approaches such as CNN-only, GRU-only, as well as classical ML methods such as SVM and Random Forest. In addition , the system capable apply mitigation adaptive through automatic flow rule creation on edge switches. Findings This confirm that effective deep learning- based spatial -temporal hybrid approach in increase detection early and response DDoS attacks on SDN networks adaptive and real-time.  

Mathematical logic is a branch of science that studies the principles of logical reasoning and how to judge the truth of a statement. This article discusses the role of mathematical logic in everyday life, especially in education, technology, and finance. Mathematical logic has been proven to help improve critical, analytical, and systematic thinking skills, making it easier for individuals to solve various problems more effectively and efficiently. In the world of education, mathematical logic supports the development of rational, argumentative, and problem-solving skills, and is an important foundation in the science and mathematics curriculum. Teachers can leverage this logic to encourage students in building consistent reasoning and logical argumentation. In the field of technology, mathematical logic is the foundation in the development of modern computing systems, such as algorithms, programming, artificial intelligence, and data structures. Without mathematical logic, digital systems such as search engines, software, and applications cannot function optimally. In finance, mathematical logic plays a role in budget strategy, investment decision-making, statistical analysis, and rational risk management. With a good understanding of logic, individuals and institutions can make more wise and measurable financial decisions. Although his contribution is large, there are still many people who do not understand the basic concepts of mathematical logic. This can be overcome through more inclusive education, contextual approaches, and interactive learning based on real problems, both in schools and non-formal environments. This study emphasizes the importance of mathematical logic as a foundation in supporting a more rational, efficient, and structured life in today's modern era. Increasing mathematical logic literacy can be a national strategy to create a society that thinks critically, is competitive, and ready to face global challenges.

This study aims to analyze the strategy of natural science laboratory management in improving the quality of practicums in senior high schools. This study uses a literature review approach by examining various academic sources related to laboratory management. The results of the analysis indicate that effective laboratory management includes five main strategies, namely management of equipment, materials, data, laboratory personnel training, and cost budgeting. The success of implementing this strategy depends on the implementation of supporting factors such as work safety, infrastructure quality, personnel capabilities and excellent data management systems. However, there are still many obstacles, including limited facilities and infrastructure, lack of professionals, inadequate budgets, and optimal planning and implementation of practices. Comprehensive improvements in laboratory management are expected to enable learning science to be implemented in a more optimal and sustainable manner.

This study examines the role of character-based assessment of independence in improving problem-solving skills in elementary school students. Character-based assessment of independence assesses students' learning process, not just academic results, with a focus on developing values of independence such as responsibility, initiative, and self-management skills. Through this approach, students are trained to face challenges independently, manage time, and find solutions creatively. Literature review shows a positive relationship between the level of student independence and increased problem-solving skills. However, the implementation of this assessment faces challenges such as lack of teacher understanding, time constraints, and system support. Nevertheless, character-based assessment of independence remains relevant and needs to be implemented more widely with training support for teachers, the use of technology in assessment, and synergy between schools, parents, and communities. The results of this study suggest that independence assessment should be an integral part of learning practices to create a generation of independent and solution-oriented learners.

This study aims to analyze the role of management psychology in optimizing teacher motivation as a strategy to improve school effectiveness. Teacher motivation is a major determinant in achieving educational goals, but is often constrained by factors such as excessive workload, lack of appreciation, and an unsupportive work environment. Through a literature review approach, this study examines various previous studies to identify effective management psychology strategies in improving teacher motivation, such as providing support, recognition, training, and good communication. The results of the study indicate that high teacher motivation has a significant impact on their performance, learning effectiveness, and student achievement. In addition, inspirational leadership and a collaborative work environment also play an important role in encouraging teacher motivation. Thus, the application of management psychology principles can create a more effective and competitive education system.

Facial recognition, a branch of image processing, is widely used in attendance systems to improve efficiency and security. This study develops an employee attendance monitoring system that integrates facial recognition using the Eigenface algorithm in OpenCV. The system records each individual's facial data alongside a password, enabling automated attendance tracking. Testing results indicate that with a database of 10 facial entries, the system achieved 100% accuracy in recognizing individuals. However, as the database expanded beyond 10 entries, accuracy declined to 80%, influenced by factors such as lighting variations, differences in facial structures, and increased data volume. This study employed a Research and Development (R&D) methodology, with expert validation yielding a score of 3.4, categorizing the system as "Highly Valid." User testing with 11 participants resulted in an overall score of 36, classifying the system as "Very Good (Valid)." The findings highlight the potential of facial recognition in improving attendance management while minimizing fraudulent entries. Future research should focus on optimizing recognition accuracy in larger databases through refined preprocessing techniques, image quality adjustments, and deep learning models.

The precise and effective formulation of educational objectives is crucial in realizing the vision and mission of educational institutions, especially at the Madrasah Aliyah level, which plays an important role in shaping students' character and competencies based on Islamic values. However, in practice, a gap still exists between the formulation of educational objectives and the achievement of the institution’s vision and mission, which impacts the quality of learning and educational management. This study aims to identify and analyze effective strategies implemented by Madrasah Aliyah in formulating educational objectives that align with the institution’s vision and mission. The research method used is qualitative descriptive with a case study approach, involving principals, teachers, and curriculum development teams as research subjects. Data were collected through in-depth interviews, participatory observation, and analysis of educational planning documents. The results show that effective strategies include a participatory approach involving all stakeholders, the use of continuous evaluation as a basis for formulating objectives, and the integration of Islamic values that strengthen character education orientation. The alignment between educational objectives and the institution’s vision and mission has also been proven to enhance the effectiveness of learning program implementation and the achievement of both academic and non-academic student accomplishments. In conclusion, strategic and value-oriented formulation of educational objectives is a key factor in achieving the vision and mission of Madrasah Aliyah, thus requiring the strengthening of managerial capacity and a sustainable evaluation system.

This research aims to design an Islamic Boarding School (Ponpes) with a sustainable architecture approach that is able to answer environmental, social, and economic challenges holistically. The method used is a qualitative-descriptive approach through architectural design research, which combines empirical data from the field with theoretical studies from relevant literature. The design location is on Jl. Gunungpati Raya, Nongkosawit Village, Gunungpati District, Semarang City, with an area of ±19,909.77 m². Data collection techniques include literature study, site observation, and comparative design study. Data were analyzed descriptively and spatially to formulate user needs and site potential. The design results show that the sustainable architecture approach can be implemented through functional layout, passive energy utilization, vegetation preservation, rainwater management, and waste recycling system. The design also accommodates social and economic aspects through the provision of organic farming areas and small farms as part of practice-based education. Contemporary Islamic architectural aesthetics are applied contextually, creating a healthy, inclusive, and adaptive learning environment. This research produces a sustainable pesantren design concept that can be a reference model in the development of environmentally friendly and self-reliance-based Islamic educational institutions..

Education about ecosystems and environmental balance at the elementary school level plays a crucial role in fostering awareness and environmental care attitudes from an early age. This article examines the effectiveness of ecosystem learning through contextual and project-based learning approaches to enhance students’ understanding and awareness of the importance of maintaining environmental balance. The research method used is a literature study with a qualitative descriptive approach, where data were obtained from various recent journals and books discussing environmental education and conservation in elementary schools. The findings show that learning activities involving direct engagement such as environmental observation, planting, and waste management can strengthen conceptual understanding while building students’ environmental care character. Additionally, the teacher’s role as a facilitator is vital to the success of the learning process. Despite various challenges in implementing environmental education, integrating ecosystem content with character education provides a strong foundation for developing a young generation that is environmentally conscious and responsible for environmental preservation. These findings emphasize the importance of systematically and sustainably implementing ecosystem learning in the elementary school curriculum as a strategic effort towards environmental sustainability.

The quality of classroom facilities and infrastructure plays an important role in creating an optimal learning environment. Adequate facilities can improve student comfort, motivation, and learning outcomes. This study uses a qualitative approach with a case study method to explore the condition of classrooms at MAN 2 Karawang. Data were collected through observation, interviews, and documentation to gain a deeper understanding of the existing facilities. The findings of the study indicate that lighting and ventilation in the classrooms are adequate, and supported by academic props that support the learning process. However, there are several obstacles, such as limited room cooling systems and bureaucratic obstacles in maintaining facilities. In addition, the management of facilities and infrastructure by the SARPRAS team has not been optimal due to budget constraints. Therefore, it is necessary to continuously improve and repair facilities to support a more effective and comfortable learning process for students.

This study aims to explore the implementation of the Balanced Scorecard (BSC) through the digital system "MyCore" in measuring and improving employee performance at Bank BRI Unit Sokaraja Tengah. Using a descriptive qualitative approach, data were collected through semi-structured interviews with key informants, observations of work practices, and analysis of internal documents (performance reports, SOPs). Data analysis was carried out through data reduction, data presentation, and drawing conclusions with verification through source triangulation. The research findings indicate that the "MyCore" system integrates four BSC perspectives (finance, customer, internal business process, learning & growth) with specific performance indicators that affect incentives and career development. The financial and customer perspectives appear to have a strong emphasis, reflected in the direct impact on incentives and bonuses. The implementation of internal business processes is supported by standardization through MyCore and technology adoption. The importance of the learning and growth perspective is realized through regular training programs and bootcamp interventions for low-performing employees, which have proven effective in improving subsequent evaluation scores. In general, the implementation of the BSC via MyCore creates a structured, transparent, and adaptive assessment mechanism, encouraging productivity and professionalism. The implications of this study emphasize the importance of a transparent performance evaluation system that has a direct impact on career development and incentives, while also demonstrating the effectiveness of structured interventions in improving employee performance at the micro banking unit level.

Artificial Intelligence (AI) has become an essential tool in the world of management for decision-making. This article examines the ways in which AI can be used to improve the quality and speed of decision-making, and how AI can improve the operational efficiency of companies. In addition, this article also examines the challenges and opportunities that companies face in adopting AI.In the rapidly evolving digital era, AI has become an essential component of modern business strategies. Today's managers are often faced with the challenge of analyzing very large and complex volumes of data. To make good and timely decisions, AI offers a potential solution with fast and precise data analysis capabilities.The use of AI in decision-making involves machine learning algorithms and models to efficiently process and analyze large amounts of data. This helps managers gain deeper and more accurate insights, enabling more effective decision-making.

The purpose of this journal is because there are still many kindergartens/RAs that do not fully understand the management of learning environments. This paper aims to understand and describe the findings of observations conducted at RA An-Nur Babalan regarding the management system of learning environments. Based on the findings of the study, RA An-Nur Babalan has successfully implemented a learning environment system. The stages of this research are descriptive qualitative research, where researchers try to describe and explain the object of research according to existing knowledge. The methods used in this study are observation and interviews. The data that has been collected is then analyzed through several steps, namely data collection, data reduction, data analysis, and conclusions. The findings of this study indicate that RA An-Nur Babalan can create a learning environment that involves students (invites them into the classroom), encourages them to be independent, and has implemented the process of using the learning environment, as well as applying several principles of the learning environment. This study can be used to support the idea that the learning process, which includes teaching students about their social, emotional, and intellectual environments, has a general purpose of providing a means for them to engage in various activities.

This study aims to identify the optimal model in the integration of philosophical disciplines in the structure of the educational program of “Public Administration” students, as well as explore the features of the management of educational strategies suitable for the training of civil servants. The main focus of this research is: 1) academic management strategies to overcome curriculum overlap due to the dominance of philosophical disciplines in public administration study programs; 2) adaptation of educational programs for public administration students to be in line with the needs of the world of work, both at national and international levels; 3) characteristics of internationalization of public administration education programs, especially in the context of academic mobility and adaptation of the Indonesian public administration system to global standards. This research uses the cultural-historical analysis approach, comparative method, structural-functional method, and expert evaluation to explore and analyze problems and develop solutions. The research findings show that the dominance of traditional philosophy courses in the curriculum is often ineffective in shaping the competencies needed in the world of work. The research identified three main challenges: saturation of the curriculum with theoretical courses, lack of connection between the curriculum and the practical needs of the working world, and low use of English in teaching key courses. To address these issues, this research proposes restructuring the curriculum through the integration of three disciplinary groups: applied logic, cultural studies, and applied political science. In addition, the implementation of a contextualized bilingual learning model is also considered as a solution to improve the relevance of the curriculum. The uniqueness of this article lies in its approach that combines philosophical studies with managerial strategies in curriculum design, complemented by empirical experiences from international and cross-institutional cooperation. This article offers a reinterpretation of the utilization of philosophy as a tool for the development of professional competence in public administration education, not just as an abstract worldview.

Indonesia is predicted to have the threat of demographic bonus while also having the opportunity to take advantage of this threat through the Prakerja program. Since 2020 the Prakerja program has been running and there are still many numerical achievements that need to be realized to avoid the threat of demographic bonus and in line with the vision of Indonesia emas 2025. PT Generasi Anak Muda Berkarya with HiColleagues brand is a startup moving in the field of Education Technology and IT Service in sustainable digital transformation that is committed to realizing the vision of Indonesia emas 2045 through implementation of the Prakerja program. Learning Management System (LMS) platform according to the Prakerja standard is a mandatory requirement that the training institution must have to become the Prakerja partner. This research aims to produce the Learning Management System (LMS) prototype design according to the Prakerja standard, giving a good experience to participants in completing a series of training class mechanisms, support the participant graduation ratio, and increase brand positioning of HiColleagues as the Prakerja partner. Designing a Learning Management System (LMS) prototype applies the Design Thinking method through the 5 phases, namely Empathize, Define, Ideate, Prototype, & Test. As well as using Figma as a design tool and Maze as a Usability Testing. This Learning Management System (LMS) prototype design succeeded in getting good feedback from users with 100% succession rate although there are minor improvisations on the user interface as a form of alignment. 

Introduction: Achieving carbon neutrality in industrial systems is essential for mitigating climate change and promoting sustainability. The increasing demand for energy optimization and carbon emission reduction has driven the development of advanced technologies, particularly hybrid machine learning (ML) models. These models, combining ensemble learning and reinforcement learning (RL), offer significant promise in optimizing industrial processes, reducing energy consumption, and improving environmental performance. This study explores the application of hybrid ML models in achieving carbon neutral goals through dynamic process optimization and energy control in industrial settings. Literature Review: Hybrid ML models integrate different machine learning techniques to handle complex and dynamic environments effectively. Ensemble learning methods, such as boosting, bagging, and stacking, combine multiple algorithms to improve predictive performance and robustness. Reinforcement learning (RL), on the other hand, enables real time decision making and adaptation based on trial and error interactions with the environment. In energy optimization, these models are used to reduce energy intensity and carbon emissions, enhancing overall operational efficiency. Previous studies have demonstrated the effectiveness of ML models in energy management, but challenges such as data quality, model integration, and computational complexity remain. Materials and Method: The study applies hybrid ML models combining ensemble learning and RL to optimize energy consumption and minimize carbon emissions in industrial processes. Data from real time sensors and operational parameters are used to train the models. The ensemble learning component improves the accuracy of energy predictions, while RL ensures dynamic process adjustments in response to fluctuating energy demand. The models were tested in various industrial settings, including manufacturing processes, smart grids, and microgrid systems. Performance metrics such as energy efficiency, carbon emissions reduction, and operational costs were evaluated to assess the effectiveness of the models.  Results and Discussion: The hybrid ML models achieved significant reductions in energy intensity (15-20%) and carbon emissions (18-25%). The real time adaptability of the RL component allowed the models to adjust energy consumption patterns dynamically, improving energy efficiency and reducing waste. The models demonstrated their ability to adapt to varying operational conditions, ensuring optimal energy use. A cost-benefit analysis showed that the hybrid models provided substantial energy savings and reduced operational costs, with a return on investment (ROI) of 30-35% within the first year of deployment. However, challenges such as computational complexity and data quality issues were identified, highlighting the need for further refinement in model development.