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Through an applied study in the Wasit Education Directorate, this study seeks to investigate how investing in digital marketing tools supports educational quality. Given the rapid pace of digital transformation, educational institutions now need to implement digital strategies that improve communication between parents and students and aid in the learning process. Through semi-structured interviews with educators, experts, students, and parents, the study employed a qualitative curriculum. The findings demonstrated that digital marketing tools improve education quality by fostering communication, encouraging participation, and offering interactive content. Numerous issues were also brought to light by the study, including inadequate infrastructure and a dearth of training in digital marketing, and suggested creating consistent digital tactics to facilitate the fusion of digital marketing and education.

This study aims to examine in-depth and comprehensively the various obstacles faced by elementary school students in understanding the concept of fractions. Fractions represent one of the key components in basic mathematics education and often pose a significant challenge for many students. Through a structured literature review and in-depth analysis of empirical data, this research seeks to clearly describe the various difficulties students encounter when learning and understanding fractions. Additionally, this study investigates the underlying factors contributing to these difficulties and offers a number of creative and effective instructional strategy recommendations to help students overcome these barriers. The findings indicate that the primary challenges hindering students' understanding include several critical aspects: weak comprehension of basic fraction concepts, difficulty in representing fractions both visually and symbolically, struggles with performing arithmetic operations involving fractions, and challenges in relating fraction concepts to real-life situations. A thorough understanding of these challenges is expected to serve as a crucial foundation for improving the quality of mathematics instruction at the elementary school level.    

Improving the quality of education in Indonesia requires continuous efforts to develop teachers' competencies, especially in soft skills related to pedagogical abilities and the use of technology in learning. This community service aims to enhance the soft skills of teachers in the Majelis Dikdasmen PNF PDM of Sorong City through the application of the microteaching method with simple interactive visual media. The microteaching method provides teachers with the opportunity to practice teaching in short sessions, which are then evaluated by peers and facilitators. Additionally, simple visual media such as PowerPoint, learning videos, and infographics are used to enrich the teaching and learning experience. This community service is conducted in the form of theory and practice sessions, followed by group discussions and reflections to strengthen participants' understanding. The results of the service show an improvement in teachers' ability to effectively use visual media, as well as an enhancement in their skills in managing classrooms interactively. This service is expected to significantly contribute to the professionalism of teachers in Sorong City, particularly in improving the quality of the teaching-learning process in non-formal education levels.

This research aims to improve student learning outcomes in motion system materials by applying the Problem-Based Learning (PBL) learning model at Tumou Tou Girian Christian High School, Bitung. This research was carried out in two cycles, each consisting of planning, implementation, observation, and reflection stages. The first cycle showed that only 36% of students completed learning, while the other 64% did not. In the second cycle, student learning completeness increased to 84% after improvements and the implementation of more effective strategies. Applying PBL allows students to actively engage in learning, develop problem-solving skills, and think critically. The results of this study show that PBL can increase students' motivation in learning and encourage better interaction between students. Additionally, the PBL model is effective in helping students construct their knowledge, relate the subject matter to real life, and improve their overall learning outcomes. This research contributes to developing innovative learning methods that can be applied to improve the quality of education, especially in biology learning. These findings imply the importance of using problem-based learning models in improving education quality and students' high-level thinking skills. For further research, exploring the application of PBL in other subjects and its impact on students' social skills is recommended.

This study aims to examine the implementation of teacher pedagogical competence in three secondary schools with different characteristics, namely SMP Negeri 3 Tapung, SMAN 1 Tambang, and SMAN 12 Pekanbaru. Pedagogical competence does not only include the ability to deliver material, but also reflects an understanding of student characteristics, contextual learning strategies, and effective and enjoyable classroom management. Using a qualitative approach, data were collected through semi-structured interviews and direct observations to explore the experiences of teachers, principals, and students in the daily learning process. The results of the study showed variations in the application of pedagogical competence influenced by social environmental factors, facilities, and teacher readiness to respond to changes in education policy. Despite facing challenges such as limited facilities and administrative burdens, some teachers were able to demonstrate high dedication and innovation in learning. This study provides a comprehensive overview of pedagogical practices in the field and is expected to be an input in formulating policies to improve teacher quality contextually and sustainably.

This study aims to identify and classify factors that influence the work readiness of vocational school graduates, analyze the contribution of each factor, and provide evidence-based recommendations for policy development and learning practices in vocational schools. The method used in this study is Systematic Literature Review (SLR), which analyzes articles related to factors affecting the work readiness of vocational school graduates from ScienceDirect. The results of the review show that the Work Readiness of vocational school graduates is influenced by three main categories of factors: individual (technical competence, soft skills, self-efficacy), institutional (curriculum, industrial practice experience), and external (industrial environment, local job opportunities, government policies). All three interact with each other and contribute significantly to work readiness. Strengthening work readiness can be achieved by adapting the curriculum that is relevant to labor market needs, increasing industrial practice experience, and strengthening institutional support and cooperation with the business world. Recommendations for vocational education policy development include improving curriculum quality, strengthening soft skills, and providing wider internship and career development opportunities.  

Deep learning (immersion learning) focuses on understanding concepts and developing critical thinking skills. However, 65% of elementary school teachers in partner schools still have difficulty implementing it. The purpose of this article is to identify innovative strategies to improve teacher skills through training 65 teachers from 8 elementary schools who are members of the teacher working group. The results of the training showed that 80% of teachers improved understanding, 70% reported increased interactive learning, and 60% used learning techniques. Continuous training and support in the use of technology are essential to enrich the learning experience for students. It is expected to inspire education policies at the elementary school level to optimize the implementation of deep learning in competency-based curriculum and improve the quality of education.

Stunting, also known as growth failure in children, is a condition caused by a child's nutritional needs not being met for a long time, specifically during the first 1,000 days of life. The first 1,000 days of life are the first 270 days (nine months) in the mother's womb plus the first 730 days (two years) of a baby's life after birth. Education is a learning process aimed at developing the potential or quality of thought patterns and knowledge of an individual or group. One of the goals of education is to increase public knowledge. The target group for the first 1,000 days of life is pregnant women. The purpose of this study was to determine the effect of education on pregnant women's knowledge about the first 1,000 days of life at the Tombulilato Community Health Center, Bone Raya District, Gorontalo City. The type of research used is Quasi Experiment with a two group pretest and posttest design approach. The sample in this study were 32 pregnant women in the intervention group and 32 in the control group. Data collection was done through a questionnaire. Data were analyzed using a paired T test with a 95% confidence interval (CI) and α <0.05. The results of the study showed that Educational Intervention had a significant effect on the knowledge of pregnant women (p = 0.000) in the First 1000 Days of Life in the Tombulilato Health Center area, Bone Raya District. It is hoped that more practical information will be provided to the community, especially prospective mothers, in preparing a quality next generation, especially in the First 1000 Days of Life. As well as optimizing Posyandu services, and involving the participation of families such as husbands and parents when socialization and information provision are carried out.

This qualitative study aims to gain insights into how English lecturers perceive and integrate generative Artificial Intelligence (AI) in their teaching, an increasingly relevant topic in education. Guided by the Technology Acceptance Model (TAM), the research involved two lecturers from a higher education context. Findings reveal a shift in perception: although both participants were initially reluctant due to unfamiliarity and concerns about learning quality, they gradually embraced AI after firsthand experience. They now recognize its potential to support teaching while maintaining careful oversight to ensure it does not compromise the learning process. Their evolving views highlight the importance of adaptability and critical awareness in incorporating AI into English language education.

Improving the quality of education is a strategic demand in responding to global dynamics and community demands for the quality of educational institutions, including madrasahs. MTsN 1 Ogan Komering Ilir as one of the formal Islamic educational institutions strives to build a structured quality management system to improve the academic quality and character of students. This study aims to analyze the implementation strategy of quality improvement management at MTsN 1 Ogan Komering Ilir, identify the obstacles faced, and explore strategic opportunities that can be utilized in the quality improvement process. This study uses a descriptive qualitative method with a case study approach, and data were collected through observation, documentation studies, and in-depth interviews with four main informants. The results of the study indicate that madrasahs have implemented quality management strategies through data-based planning, implementation of teacher capacity building programs, strengthening learning, and periodic quality evaluations. However, there are still obstacles such as limited human resources, lack of quality literacy, and limited use of information technology. On the other hand, there are opportunities such as support from national policies, commitment from madrasah leaders, and stakeholder participation that can be maximized to strengthen the quality system in a sustainable manner.

Social competence is the ability of teachers to communicate and interact with students during the learning process. This competence is very important so that teachers can be good examples for students, help students develop individuals who are full of empathy, attention, and concern for others. This study aims to assess in detail the influence of social competence possessed by classroom teachers. This study uses a qualitative approach. The main subjects of the study, namely teachers and supporting objects, namely students. Data collection techniques through observation, interviews, and documentation. Data were analyzed using Miles and Huberman's theory, including data reduction, data presentation, and drawing conclusions. The results of the study showed that teacher social competence, including inclusive attitudes, polite communication, adaptability, and communication with the professional community, had a positive effect on the learning process. Teachers who are effective in social competence create a pleasant learning atmosphere, increase comfort, motivation, and student learning achievement. This study concludes the importance of strengthening social competence in improving the quality of the learning process in the classroom.

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.

Strengthening student literacy is one of the important aspects in improving the quality of education in Indonesia. Literacy is not only the ability to read and write, but also the ability to understand, analyze, and apply information. In this case, the role of teachers is also very much needed. The ability of teachers to manage and implement the learning process or the process of strengthening literacy is also very much needed. Therefore, it is necessary to have an understanding and mastery of various innovative approaches to improve students' literacy skills. This article aims to describe how teachers can apply various innovative approaches in order to improve student literacy at SMA N 6 Purworejo. The method of community service activities is carried out in the form of socialization, discussion and question and answer. The results of community service activities, various innovative approaches that can be applied by teachers, including, namely, innovating teacher involvement in reading activities before learning, involving technology in literacy learning, implementing project-based learning, and implementing collaborative approaches and thematic learning in the learning process.

The development of an Android mobile application for automatic cataract detection using Convolutional Neural Network (CNN) and TensorFlow has been conducted. The aim of this research is to provide an easily accessible solution for the public to detect cataracts early, thereby reducing the negative impact of this eye condition. The CNN method is utilized to recognize cataract patterns through image data, with TensorFlow serving as the primary development platform. Preprocessing steps and data processing are implemented to enhance the detection accuracy and address variations in eye images. Evaluation indicates that the application is capable of detecting cataracts with satisfactory accuracy, making it a potential tool for cataract prevention and early management. In conclusion, this application enables rapid and efficient cataract detection, improving the accessibility of eye care and contributing to enhancing overall quality of life for communities by providing early intervention and treatment options.

This journal discusses the role of Islamic education management in educational institutions and how to develop them. This research uses qualitative methods, with data collection through observation, interviews, and in-depth literature review. The main findings of this study involve various important components in educational management, including curriculum management, human resources, infrastructure, financing, public relations, and special services. One of the educational institutions analyzed, MAN 4 Bantul, identified four main points in the development of educational institutions. First, the use of the independent curriculum to provide freedom in the learning process; second, the application of Islamic character to shape students' morals; third, increasing individual worship and faith to always be grateful according to Islamic teachings; and fourth, developing branding through information management in the field of public relations. In addition, MAN 4 Bantul also improves the quality of human resources through learning innovation workshops for educators. The results of this study indicate that Islamic education management integrated with religious principles can create a more effective, relevant, and sustainable learning environment, as well as strengthen the competitiveness of educational institutions in the digital era.

Modernization of education in Islamic boarding schools is an important need to maintain the relevance of learning in the digital era. Salafiyah Islamic boarding schools, which are synonymous with the traditional approach through the study of the Yellow Book, face the challenge of adapting technological developments without losing their scientific character. This research aims to develop a model of curriculum modernization through the integration of deep learning-based digital technology  to improve the effectiveness of learning and the quality of academic evaluation. The methods used include literature studies, observation of the learning process, and trial implementation of digital learning tools equipped with deep learning algorithms  for student ability analysis. The results of the study show that the application of deep learning technology  is able to speed up the competency mapping process, provide automatic feedback on reading and comprehension of classical texts, and assist teachers in monitoring the development of students more accurately. This integration also increases interest in learning and strengthens the mula curriculum system without shifting the traditional values of the Islamic boarding school. Thus, technology-based modernization can be a strategic solution to bridge the classical approach and the needs of 21st century learning in Salafi Islamic boarding schools.

Madrasas and Islamic boarding schools are Islamic educational institutions that have a strategic role in shaping the character, morals, and competencies of students. In addition to carrying out the formal learning process, these two institutions are also centers for moral, spiritual, and social development. In their operations, madrasas and pesantren manage various administrative activities, such as student data collection, attendance recording, grade processing, teacher data management, lesson schedule preparation, and delivery of academic information to related parties. However, many institutions still use manual systems that rely on notebooks or separate applications that are not integrated. This condition poses a number of obstacles, including the high risk of recording errors, duplicate data that is difficult to track, the slow process of recapitulation of grades and attendance, and delays in the delivery of academic information. In addition, manual processes cause administrative management to be less efficient and prone to data loss. As the need for fast, accurate, and accurate information increases, technological solutions are needed that are able to integrate all administrative and academic processes in one centralized system. Web-based information systems are an effective alternative to improve work efficiency, minimize errors, and facilitate access to information for teachers, students, and guardians. With the implementation of a well-managed system, madrasas and Islamic boarding schools are expected to improve the quality of services and support a more modern, structured, and sustainable learning process.

The development of artificial intelligence (AI) in learning media presents challenges related to the uneven readiness of human resources and infrastructure, thus affecting the effectiveness of its implementation. This study aims to examine the effect of AI implementation in learning media development on learning outcomes of students of Faculty of Economics, University of Balikpapan. The method used is quantitative with survey design and Structural Equation Modeling (SEM) analysis using AMOS. The sample consists of 113 students selected by simple random sampling from the population of 376 active students. The results of the analysis showed that the readiness of lecturers and the quality of AI-based learning media had a significant effect on improving student learning outcomes. However, the success of AI implementation is also strongly influenced by infrastructure support and educator training. The findings provide important implications for learning media developers and policy makers to strengthen lecturers' capacity and improve technology infrastructure to support inclusive and sustainable digital transformation of education. In addition, ethical aspects and data privacy should be the main concerns in the development of AI-based learning media.

This study employs a qualitative method through a literature review approach and aims to examine the utilization of interactive learning in enhancing educational innovation in the digital era. The study is driven by the urgency to adapt learning processes to the rapid advancement of technology, requiring strategies that optimize the use of interactive media in teaching and learning activities. Based on a review of various academic sources such as books, journals, and scientific articles, it is found that interactive learning holds great potential in creating engaging learning environments, increasing student participation, and stimulating creativity and innovation. The integration of digital technology in interactive learning is also considered effective in expanding access to information, facilitating better understanding of learning materials, and enriching learning resources. Therefore, the literature reviewed indicates that developing technology-based interactive learning is highly relevant to improving the quality of education in facing the challenges of the digital age.

This community service program aimed to enhance the theological competence of novice catechists and community guides at Santo Krisologus BSB Parish Semarang, focusing on understanding and articulating Catholic Fundamental Beliefs, particularly the Credo. Based on observations from January-August 2024, a gap was identified between high enthusiasm for service and the competency readiness of novice faith proclaimers. The program employed an integrative methodological approach combining interactive lectures, question-and-answer sessions, and participatory observation, accompanied by multi-stage evaluation. Results showed significant improvements in participants' doctrinal understanding and pedagogical abilities, reflected in the quality of theological discussions and the formation of sustainable learning communities. The main challenge identified was the complexity of articulating Trinitarian dogma in contemporary pastoral contexts. This program produced a replicable catechist formation model while affirming the importance of an integrative approach in faith proclaimer development.