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National education faces challenges related to quality, efficiency and management. Several important problems in the education system include: (1) student moral behavior, (2) distribution of learning, (3) less efficient internal systems, (4) poor organization, (5) education management that is not in line with national development, and (6) lack of professionalism in resources. One effort to overcome this problem is to improve learning strategies, which are very important for the success of the learning process. One of the aspects studied in this journal is the teaching of the Islamic religion from Abuddin Nata's perspective. The results of the literature search show that an Islamic-based learning approach can shape student behavior. One effective strategy is to use an approach that is appropriate to the learning objectives and emphasizes skills and learning processes such as the Islamic education model which integrates skills, problem solving and memory formation.

This systematic literature review examines the evolving role of Quality Engineering (QE) in optimizing production processes within Industry 4.0 contexts. By analyzing 78 peer-reviewed studies (2010–2025), the research identifies critical shifts in QE methodologies, emphasizing integration with artificial intelligence (AI), machine learning (ML), and real-time digital twin technologies. Key findings reveal enhanced robustness through adaptive optimization algorithms (e.g., Bayesian optimization, NSGA-II), improved defect prediction via AI-driven quality control systems, and streamlined process interoperability through Manufacturing Execution Systems (MES) and Quality 4.0 frameworks. The study underscores digital integration as a catalyst for reducing variability, accelerating decision-making, and aligning quality management with Industry 4.0’s demands for agility and interconnected systems. Recommendations include adopting hybrid methodologies combining classical Six Sigma with ML-driven analytics and investing in workforce training for digital QMS adoption.

This paper presents a comparative analysis of various battery management systems (BMS) in electric vehicles, with a focus on incorporating machine learning techniques to improve battery safety and extend battery life. The study evaluates conventional BMS against machine learning-enhanced models in predicting thermal runaway, state of charge (SOC), and state of health (SOH) under diverse operating conditions. Results indicate that machine learning algorithms outperform conventional methods, providing more accurate SOC and SOH estimations, thus enhancing vehicle safety and longevity.

This study aims to analyze the importance of facilities and infrastructure management in supporting the quality of educational services in educational units. In the context of modern education, facilities and infrastructure not only function as technical support for teaching and learning activities, but also as indicators of the quality of educational institutions. This research uses the library research method by examining various scientific sources, both in the form of journals, books, and relevant research reports. The results of the study show that effective management of facilities and infrastructure includes the process of planning, procurement, utilization, maintenance, and continuous evaluation of educational facilities. Each of these stages has an important role in ensuring the availability of a safe, comfortable, and conducive learning environment for all school residents. In addition, transparent and participatory management can increase a sense of responsibility, care, and efficiency in the use of facilities. The management of facilities and infrastructure based on the needs of students and the development of information technology has proven to be able to strengthen the quality of educational services and support the achievement of learning goals optimally. These findings provide practical implications for schools and policymakers to continue to strengthen data-driven educational facilities management systems and cross-stakeholder collaboration.

This research investigates the impact of English language acquisition on transportation literacy among transportation management students. Through qualitative analysis of interviews and document analysis, the study explores how proficiency in English influences students' comprehension of key transportation concepts. The findings reveal that English language proficiency significantly enhances students' understanding of complex transportation topics, such as logistics, safety regulations, and multimodal transportation systems. Integrating effective language learning strategies, such as real-world scenarios and interactive activities, into transportation management courses can bridge the gap between language proficiency and transportation literacy. Additionally, innovative assessment methods, such as performance-based assessments, offer a more comprehensive approach to evaluating students' language proficiency and its application in transportation contexts. The study recommends ongoing professional development for educators, collaboration with industry partners, and the promotion of multilingualism to enhance transportation literacy among students. By adopting these recommendations, educational institutions can ensure that transportation management students are equipped with the necessary language skills to succeed in an increasingly globalised and diverse transportation industry.

This study aims to examine the implementation of performance evaluation system for teachers in Madrasah Ibtidaiyah (MI) Al-Hayah. Teacher performance evaluation is important in improving the quality of education and the effectiveness of learning in madrasah. This study used qualitative research methods with a case study approach. The research participants included 20 teachers of MI Al-Hayah, by collecting data through in-depth interviews, classroom observations, and document analysis related to performance evaluation. The results show that the implementation of the performance evaluation system at MI Al-Hayah still faces several challenges, such as a lack of understanding of the purpose of the evaluation, lack of management support, and limited resources. The results show that the implementation of an effective performance evaluation system provides significant benefits for teachers and administrative personnel at MI Al-Qur'an Al-Hayah. This performance evaluation system provides a clear picture of the quality of individual performance, identifies strengths and weaknesses, and provides constructive feedback for professional development. In addition, the system also contributes to increased motivation and work accountability.

Libraries are part of the learning resources that every school and college must have. Because students easily search for information or knowledge through the library. This community service aims to socialize Information Management at the SMA Negeri 7 Binjai Library through the Use of Website-Based Applications. This community service method uses a socialization approach to students, female students, and teachers of SMA Negeri 7 Binjai. The results of this study explain that a library is an organization tasked with collecting information, processing, presenting, and serving the information needs of library users. The existence of this web-based library is very helpful for students, students, and teachers in obtaining information more quickly and helping the work of librarians in managing libraries that will be with tens of thousands to hundreds of thousands, even millions of collections, with services covering the school community (students, education staff, and the wider community), so it needs to be supported by an automation system that is futuristic (has a forward reach), so that it can always maintain excellent service.

The rapid spread of infectious diseases remains a major global health threat, and early detection is vital to minimize their impact. This research investigates the role of predictive modeling using big data in the early detection of infectious disease outbreaks. The primary objective of this study is to assess the effectiveness of big data systems in forecasting potential outbreaks and the implications of these forecasts for public health systems. The study employs machine learning-based predictive models to process large health datasets, including electronic health records, sensor data, and social media information. The results demonstrate that the predictive model achieved an accuracy rate of 87%, significantly surpassing traditional methods in terms of early detection. By integrating various data sources such as medical records, sensor networks, and real-time digital traces, the system is capable of providing more accurate, timely predictions, which can greatly improve the ability of public health authorities to respond effectively to emerging health threats. Furthermore, the application of big data in public health not only improves the speed of response but also enhances the allocation of resources, allowing for more targeted and efficient interventions. Despite these successes, challenges remain, particularly in relation to data quality, privacy, and regulatory issues, which could hinder the broader implementation of such systems. Thus, collaboration between government agencies, healthcare institutions, and technology developers is essential to overcome these obstacles and ensure the sustainable integration of big data into public health infrastructures. This research highlights the significant potential of big data to transform public health responses, offering valuable insights for future epidemic management strategies.  

Inventory of goods at MI is an important process to ensure smooth operations and learning. With a good inventory system, MI can manage its goods effectively and efficiently, so that it can support the achievement of its educational goals. Administration of goods equipment or goods inventory in MI includes activities such as recording, coding and reporting goods inventory. This includes inventory items (such as tables, benches, whiteboards) and non-inventory items (such as markers, erasers, pencils). The inventory process aims to create goods administration, financial savings, and effective supervision of these goods. Inventory activities of educational facilities and infrastructure in schools include planning, procurement, distribution, use, maintenance and disposal of goods. Inventory recording of goods is carried out in various books, such as the goods inventory master book, goods inventory class book, non-inventory goods record book, quarterly report list, inventory item mutation, and annual recapitulation list. A computerized goods inventory system can help organizations increase efficiency and effectiveness of goods management. This system can help organizations save time and costs, increase productivity, and make better decisions regarding goods management.

One of the efforts to overcome teacher problems in learning is by educational supervision. Supervision is guidance in the form of guidance or guidance towards improving the educational situation in general and improving the quality of teaching and learning. Supervision is carried out by the Principal (supervisor) whose role is to supervise teaching and learning activities, teacher performance etc. The purpose of supervision is to develop better situations to train the learning process and improve the teaching profession. The study was conducted because researchers wanted to get a better understanding of a special case This research reveals specifically about the implementation of teaching supervision and teacher performance in the learning process of Islamic religious education in MTSN 2 Bengkalis. Based on the entire series of analysis and discussion of data, it can be concluded that the implementation of principal supervision of the performance of Islamic religious education teachers in MTSN 2 Bengkalis is The planning of principal supervision is carried out in a planned, systematic and continuous manner. At this stage the principal determines the name of the teacher to be observed, forms a determination of the time for the implementation of the observation time, compiles an observation grid and determines whether the class observation is known to the teacher or not, this is based on an agreement between the principal and the Islamic religious education teacher. In the implementation of supervision, the principal's attitude did not interfere with the process of learning Islamic religious education in the classroom even the principal at the end of class hours gave motivation to students to continue learning diligently. In the follow-up stage, the results of supervision are discussed jointly between Islamic religious education teachers and school principals who discuss teacher deficiencies in teaching in the hope that in the future teachers can improve them.

The rapid growth of Internet of Things (IoT) and edge computing technologies has introduced new security challenges due to the distributed, heterogeneous, and dynamic nature of these environments. Conventional static security mechanisms, such as rulebased authentication and fixed trust models, are often inadequate for addressing evolving threats and abnormal behaviors in largescale IoT systems. To overcome these limitations, this study proposes a machine learningbased trust evaluation framework for enhancing security in distributed IoT environments. The proposed approach dynamically assesses the trustworthiness of IoT nodes by analyzing behavioral and interactionbased features collected at the edge layer. Machine learning models are trained to classify nodes into trusted and malicious categories and continuously update trust values in response to changing network conditions. Based on the predicted trust levels, adaptive security decisions are enforced to allow or restrict node participation in data sharing and computation processes. A quantitative experimental evaluation is conducted using simulated distributed IoT scenarios that include both normal and malicious behaviors. The performance of the proposed framework is evaluated using standard metrics such as accuracy, precision, recall, F1score, and detection effectiveness, and is compared against conventional static trust and rulebased security mechanisms. The results demonstrate that the proposed machine learningbased trust evaluation approach achieves significantly higher detection accuracy and robustness while maintaining low computational overhead. Overall, the findings confirm that integrating machine learning into trust management provides an effective and scalable solution for securing distributed IoT systems under dynamic and adversarial conditions.

study aims to know, study, explore and describe the administrative model of procurement of educational facilities and infrastructure in elementary schools more organized and efficient so that it can support the success of students in the learning process. This research was conducted by qualitative methods, research conducted at the Future Islamic School Integrated Islamic School, with the subject of principals, teachers, educators and students. This research data was collected through observation, interviews and documentation. The results of the research that the author conducted show that the model of the procurement system of facilities and infrastructure, schools can provide a more optimal environment for the learning process of students As well as the importance of technology by involving all school staff as a means to accelerate the monitoring process, and optimize the management of infrastructure facilities, this writing is expected to be the basis for improving the governance of goods in similar schools.

The curriculum is part of a learning management system that involves planning the implementation of learning and becomes a guideline and guide for teachers in carrying out learning activities. The purpose of this research is to find out the teacher's perception of curriculum changes in Indonesia, especially for English teachers. In this research, the method used is descriptive qualitative research method and the data obtained is from the results of interviews. The results of the study show that the opinions of the teachers reflect diverse views regarding curriculum changes in Indonesia. Some considered it to have a positive impact, such as an increased focus on attitudes and skills, as well as enhancing students' creativity. However, others noted negative impacts such as students' adaptation difficulties and new problems arising, including a lack of support from some students and the learning environment for the government standards.    

Based on the National Education System Law number 20 of 2003, citizens who have physical, emotional, mental, intellectual and/or social disabilities have the right to receive special education. Thus, their potential for children with special needs must be increased through the latest curriculum created by the government and combined with a special curriculum so that children with special needs experience the same treatment as normal children in the world of education. The aim of this research is to find out how to increase the educational potential of children with special needs with the Integrated SLB curriculum management implemented at SLB Negeri 01 Blitar City. This research method is field research using a qualitative approach with descriptive research type. Data collection techniques through observation and interviews. The findings from this research are that SLB Negeri 01 Blitar City has used an independent curriculum combined with a special curriculum for children with special needs. The Merdeka Curriculum has started in the 2022/2023 school year and is being implemented at the elementary school, junior high school, high school and vocational high school levels, without exception at special schools (SLB). In implementing this independent curriculum at the SLB Negeri 01 Blitar City school, teachers have the freedom to choose various teaching tools that suit each child who has special needs, so that the learning process in the classroom can be adjusted to the needs and interests of the students. Students classified as having special needs have the same rights as every other citizen.

Competency standards are a breakthrough in the world of education in improving the quality of teachers so as to make teachers not only professional but competent in their fields.  This is an implementation of the national education system law, the national standard of education (SNP), the Teacher and Lecturer Law (UUGD), which is realized in the RPP on teachers which will soon be passed. Departing from the above thinking, the author takes the title "Principal's Manajmen in Improving Teacher Competence at SMP Negeri 21 Bandar Lampung" which aims to describe teacher competence and efforts to improve it, as well as supporting and inhibiting factors in efforts to improve teacher competence at SMP Negeri 21 Bandar Lampung. In this study, there are theoretical approaches listed in chapter one and chapter two which explain the theory of efforts to improve teacher competence at SMP Negeri 21 Bandar Lampung, then in chapter three the research methods used are qualitative descriptive, and chapter four research results and exposure to research findings data, chapter five discussion or data analysis, and chapter six are conclusions and suggestions. The data that has been obtained explains that the real state of teacher competence at SMP Negeri 21 Bandar Lampung states that every aspect of competence such as pedagogic competence or teacher learning management ability is stated to be still not very masterful and still below standard, but in the aspects of evaluating learning outcomes, understanding students, and implementing educational and dialogical learning, it can be said to be good.

The Cyber-Physical System is a key system in the implementation of the 4th generation industrial revolution. This system combines automation systems, electronics, internet networks and machine learning. The implementation of physical cyber systems in agriculture  is one of the long-awaited applications because it is the backbone of the implementation of  sustainable agribusiness systems. With this system precision agriculture and pervasive computing in agriculture can help stakeholders in agribusiness to enjoy various benefits optimally. One example of its application is a smart farming system that is conditioned to provide measurable and maximum yields without having to sacrifice soil nutrients because it is well monitored according to weather conditions.  In previous studies, several LoRa communication-based systems for monitoring local weather in a place and measurements of soil nutrient conditions have been carried out and displayed through the internet network. Monitoring and control systems on other agricultural models based on hydroponics and aquaponics have also been carried out for some types of crops. The results provide greater potential for wider application and in actual conditions in the agricultural industry. In this study, the integration of physical cyber systems with lora communication-based  agricultural monitoring and control nodes will be carried out more broadly by considering the local conditions under which the system is tested. In this case, the research will be carried out at the Research and Recreation Park, Telkom University and agrifarming industry partners as a model of actual application. The research findings show that the application of advanced sensor technology has improved the accuracy of weather measurements by up to 95%. Quantitative data collected from the new weather station showed a significant improvement in weather monitoring. Qualitatively, positive responses from stakeholders such as disaster management authorities and farmers were also noted. In conclusion, the development of this modern weather station supports the community's need for reliable weather information and is a step forward in addressing the challenges of climate change.

This research aims to find out how ecopedagogy is implemented in elementary school learning to increase environmental awareness and student involvement. This article was prepared using the systematic literature review (SLR) method. Searches were carried out using Google Schooler. In the initial stage of the journal search, 235 journal articles were obtained with a time limit, namely from 2014 to 2023. The procedure for searching and selecting articles in this study used preferred reporting items for systematic reviews & meta-analyses (PRISMA). Ecopedagogy discusses three main areas, namely technical ecoliteracy , critical ecoliteracy, and cultural ecoliteracy. The implementation of ecopedagogical integration in elementary school management which aims to instill environmental character values ​​from generation to generation can be carried out in several forms, namely integration in the curriculum and learning by including an understanding of ecology in the subjects or materials taught and the application of methods or media. Environmentally caring character education aims to instill values ​​and awareness of the environment in students. Case studies of the application of ecopedagogy in education show that it can be applied through digital media and multi-dominant learning to develop cognitive, psychomotor and environmental awareness. Barriers to implementing environmentally caring character education in schools include internal factors such as students' bad habits and lack of knowledge, as well as external factors such as inadequate learning support equipment and lack of cooperation between teachers and parents. Collaboration between teachers, students, parents, and the community is essential for successful implementation.

Implementing a schoolfacilities is a management plan to manage and maintain educational institutions such as schools, academies and multi-academy trusts can be an overwhelming task. However, having an effective facility management system such as facility management software and also hardware can provide several benefits. For example, improving learning environments, improving school quality and quantity and supporting the educational outcomes of every student. If almost 50% of teachers believe that their workplace harms their well-being, it is worth thinking about how the introduction of a commercial venue and facility could help.

In the dynamic technology business landscape, the key levers of success are human resources. This research examines the critical role of human resource management (HRM) in improving the performance of technology-based organizations. Through literature exploration and case studies, this research identifies six key HRM functions that contribute to performance: (1) strategic recruitment and selection to attract and retain skilled technology talent, (2) continuous development and learning to equip employees with relevant technology skills, (3) creation of innovative and collaborative work culture, (4) effective performance management systems to drive accountability and goal achievement, (5) competitive compensation and incentive strategies to motivate and retain employees, and (6) health and wellness programs that prioritize work-life balance and employee satisfaction. This research highlights the importance of technology integration in HRM, such as the use of digital recruitment platforms, online learning systems, and data analysis tools for data-driven decision-making. The findings show that proactive and adaptive HRM, which focuses on talent development, creation of a supportive work environment, and strategic use of technology, significantly improves the performance of technology-based organizations. This research offers practical insights for HRM practitioners and leaders of technology organizations to harness the potential of human resources and achieve competitive advantage in the digital age.