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This study aims to examine relevant and effective Christian Religious Education (CRE) learning methods in the digital era. The rapid development of information and communication technology has brought significant changes in education, including CRE instruction. The research method employed is a literature study with a descriptive-analytical approach to various academic sources and technology-based CRE learning practices. The results indicate that integrating digital media such as online learning platforms, Bible-based interactive applications, and social media creatively can enhance students' engagement and understanding of Christian faith values. Furthermore, the use of digital technology opens wider opportunities for contextual and meaningful faith formation across diverse learning environments. The study also identifies key challenges faced by CRE teachers, namely digital readiness, infrastructure limitations, and maintaining relational and spiritual dimensions in virtual learning environments. Teachers must therefore be equipped not only technologically but also theologically to navigate these complexities. The research concludes that the transformation of CRE methods in the digital era is not merely a technology adoption but a holistic theological integration of faith, technology, and pedagogy.

This study examines teachers’ strategies in instilling citizenship values among students to develop democratic character and social responsibility. The background of this study is rooted in the increasing need to strengthen students’ civic awareness and character in the face of rapid social and technological changes. The objective of this research is to identify and analyze effective strategies used by teachers in integrating citizenship values into the learning process. This study employs a library research method by analyzing various relevant academic sources, including journals, books, and scholarly articles related to citizenship education and character development. The findings indicate that effective strategies include student-centered learning approaches, the integration of character education into civic education, the use of inquiry-based learning methods, and the utilization of technology to enhance student engagement. Additionally, extracurricular activities and a democratic classroom environment play a significant role in reinforcing students’ understanding and application of citizenship values. These strategies contribute to the development of students’ critical thinking, participation skills, and social awareness. The implications of this study suggest that teachers need to continuously innovate and adapt their teaching strategies to meet the evolving needs of students and societal demands. Furthermore, educational institutions should provide adequate support and resources to optimize the implementation of citizenship education in fostering responsible and democratic citizens.

Background: Automatic segmentation of the thyroid gland in ultrasonography (USG) images using deep learning requires a user-friendly interface to support diagnostic and educational processes. Purpose: This study aims to develop and implement a Graphical User Interface (GUI) that integrates a deep learning U-Net model for interactive and efficient segmentation and visualization of thyroid USG images. Method: The development method employed the Rapid Application Development (RAD) approach using MATLAB programming language. The GUI is designed to load transverse and sagittal USG images, display automatic segmentation results, and calculate thyroid gland volume based on dimensions measured automatically from the segmentation output. Testing was conducted using USG image data from 15 volunteers, and GUI functionality was evaluated using black box testing. Result: The GUI successfully displayed USG images and segmentation results with a responsive 4-panel interface; zoom, pan, and image navigation features functioned well. Automatic segmentation occurred in real-time after image input, and volume measurement results appeared automatically. Black box testing evaluation showed all GUI features operated as expected. The average Dice Similarity Coefficient (DSC) of 0.91 indicates high performance of the U-Net model in thyroid segmentation, consistent with previous findings. Statistical testing confirmed no significant difference between volume measurements using the application and manual methods (p = 0.953). Conclusion: This GUI implementation facilitates users in performing deep learning-based segmentation and visualization of thyroid USG images, improving efficiency and accuracy in thyroid volume measurement. The GUI has potential applications in clinical practice and radiology education.

This study aims to evaluate the impact of leadership education and training on organizational service effectiveness within the Tambrauw Regency Government, Papua. Leadership training is an important instrument in developing the competencies of Civil Servants to enhance leadership capacity, managerial skills, and public service quality. However, its implementation needs evaluation to determine its impact on organizational performance and service effectiveness. This research uses a qualitative approach with descriptive analysis. The analytical framework applied is the Kirkpatrick training evaluation model, covering reaction, learning, behavior, and results. Data collection was conducted through documentation studies, policy analysis, and literature review on civil servant development and public services. The results indicate that leadership training has a positive impact on improving civil servant competencies and service effectiveness. At the reaction level, participants showed high satisfaction with training materials and methods. At the learning level, there was improvement in leadership knowledge and skills. At the behavior level, participants demonstrated more professional work attitudes, better coordination, and improved decision-making. At the results level, training contributed to improved service quality, efficiency, and innovation. However, challenges remain, including limited resources, hierarchical bureaucratic culture, and weak policy support. Therefore, strong local government commitment is needed to enhance training quality and organizational support. This study contributes to public administration research and offers practical insights for policy development.

This study aims to provide a comprehensive analysis of Predictive Policing and its implications for law enforcement transformation in Indonesia, based on an extensive review of its global applications, benefits, and challenges. The study uses qualitative literature and international case study review methods to assess the impact and complexity of implementing digital technologies such as artificial intelligence (AI), machine learning, and big data analytics within a Predictive Policing framework. The results of this review highlight that while Predictive Policing offers significant potential for proactive crime prevention and increased operational efficiency, its implementation is consistently fraught with critical legal, ethical, and technical challenges, including regulatory gaps, risks of algorithmic bias, and data privacy concerns, which are particularly relevant to Indonesia. The findings underscore that public trust and police legitimacy in the context of adopting such technologies are strongly influenced by transparency, strong accountability mechanisms, and community involvement in shaping their use. This study contributes to the growing discourse on digital policing in developing countries and culminates in practical policy recommendations designed to guide the Indonesian police towards the development and implementation of Predictive Policing models that are effective, efficient, and fundamentally respectful of legal and human rights principles.

This study aims to examine the perspectives of students in the Primary School Teacher Education Program (PGSD) who are about to begin the Learning Strategies course. The main focus of this research is to investigate how students view the concept of learning strategies, their experiences with various teaching methods, and their expectations regarding the Learning Strategies course. Information was obtained through questionnaires completed by 84 students during the first session of the course. The results of the analysis show that the majority of students have a fairly good basic understanding of learning strategies, although there are some variations in their preferences regarding the use of technology and certain teaching methods. Problem-Based Learning (PBL) and Project-Based Learning (PjBL) are considered effective by the students, although they still face challenges such as time management and differences in learning styles that pose obstacles. This study recommends that teaching in the Learning Strategies course better integrates technology and takes into account the variety of student learning styles to create a more inclusive learning environment.

English is an international language that plays an important role for students in the era of globalization; however, speaking anxiety or fear of speaking remains a major obstacle in academic practice within higher education institutions. This anxiety emerges as a complex psychological phenomenon involving cognitive, affective, and social aspects, rather than merely an issue of language proficiency. This study examines the problems faced by students, particularly those majoring in non English disciplines, in overcoming speaking anxiety in English academic settings. A descriptive qualitative approach was employed, with data collected through semi-structured interviews involving students of PASIM National University who exhibited varying levels of speaking anxiety. The data were analyzed using qualitative analysis techniques to identify emerging patterns and themes.The findings indicate that speaking anxiety is caused by fear of making pronunciation and grammatical errors, concern about receiving negative evaluations, limited vocabulary, and a lack of experience in communicating in English. These conditions are further exacerbated by limited opportunities for speaking practice, non-interactive learning methods, and insufficient support from teachers and peers. Students developed adaptive strategies such as relaxation techniques, thorough preparation, positive self-talk, and consistent language practice. To create a safe learning environment in which students can speak English effectively, this study proposes learning strategies that are more inclusive, supportive, and grounded in psychological principles.  

This study explores the integration of Science, Technology, and the Arts (IPTEKS) within an educational psychology framework to support the development of creativity, innovation, and collaboration among prospective Christian religious education teachers in West Java. Using a mixed-methods approach with a sequential explanatory design, the research combines quantitative and qualitative perspectives to obtain a comprehensive understanding of the phenomenon. Quantitative data were gathered through questionnaires distributed to prospective teachers, while qualitative data were obtained through in-depth interviews and participatory observations involving selected informants. The findings indicate that meaningful integration of IPTEKS contributes positively to the development of creative thinking, innovative teaching practices, and collaborative learning skills. Qualitative insights further reveal that institutional support, continuous professional development, and contextualized learning environments play a crucial role in optimizing the impact of IPTEKS integration. The study highlights the importance of aligning technological integration with psychological and pedagogical principles. It concludes that teacher education programs need to redesign curricula and training models that holistically integrate IPTEKS and educational psychology to foster relevant, transformative, and value-based learning in Christian education contexts.

This study aims to analyze the effectiveness of the application of direct and indirect methods in teaching English, specifically the topic of "Telling Time," at MTs Al-Amiriyyah through microteaching practice. This research employs a descriptive qualitative approach with data collection techniques including observation, interviews, and documentation. The research subjects consist of an English teacher and the students of class VIII A. The data were thematically analyzed to identify significant patterns in the teaching process. The findings indicate that the direct method is effective in building students' foundational understanding of time concepts, as it emphasizes explicit and concrete use of the target language and allows teachers to easily assess students' comprehension through drilling. On the other hand, the indirect method proved to enhance students’ ability to use English more naturally through contextual activities such as role play and daily schedule games. Moreover, students with kinesthetic learning styles responded more positively to the indirect method, as it enables them to learn through physical activity and direct participation. These findings suggest that a combination of both methods yields optimal results: the direct method is effective for the initial stage of concept acquisition, while the indirect method supports the development of communicative skills in a functional and enjoyable manner, aligning with students' characteristics.

This study aims to develop an interactive digital learning media based on Wordwall, named TANGKAS (Tantangan Asyik Ngulik Pecahan Kelas Empat Seru), as a practice tool for addition and subtraction of fractions in fourth-grade elementary students. The development process employed the ADDIE model, which includes the Analyze, Design, Develop, Implement, and Evaluate stages. The research subjects consisted of 29 fourth-grade students at SDN Ngemplak I Baureno. The needs analysis revealed that learning activities were still dominated by conventional methods with limited use of digital media, resulting in low student engagement. To address this issue, TANGKAS was developed using a maze chase game design to enhance motivation and support engaging fraction practice. The validation results indicated a material validity score of 94% (highly valid) and a media validity score of 80% (valid). The practicality aspect obtained 81.8% from students, both categorized as highly practical. The effectiveness test showed an improvement in learning outcomes with N-Gain scores of 0.6 for fraction addition and 0.54 for fraction subtraction, both classified as moderate. Therefore, TANGKAS is proven to be feasible, practical, and effective as an interactive game-based learning media to support students’ understanding of mathematics in elementary school.

This study aims to analyze the implementation of the Independent Curriculum in third-grade students at Al-Munawarah Elementary School, Sentani, Jayapura Regency. Using a qualitative approach with data collection techniques through observation, interviews, and documentation, this study evaluated three main aspects: planning, implementation, and evaluation of learning. The results showed that during the planning stage, teachers developed teaching modules that referred to Learning Outcomes (CP) and prepared assessment instruments in the form of projects and prompt questions. During the implementation stage, teachers implemented an inquiry-based learning model to encourage student engagement and utilized various media, from printed books to digital devices, which positively impacted student engagement in class. During the evaluation stage, teachers used cultural project assessments and Student Worksheets (LKPD), accompanied by positive feedback to motivate students. Although implementation generally proceeded according to the curriculum framework, obstacles were still encountered in the application of differentiated learning because teachers tended to use lecture methods and generalize the abilities of all students. Therefore, continuous improvement is needed so that learning planning can be more aligned with the characteristics and individual needs of each student.

The current practice of Islamic Religious Education (PAI) learning in schools still faces the challenge of the dominance of conventional methods that tend to be teacher-centered, so that the aspect of internalization of values by students is often not optimal . This article aims to describe the characteristics and conceptual relationships between the Social Interaction and Personal learning models in the context of PAI, while also examining the relationship between the two models with constructivist and humanistic learning theories . Through a literature study, the analysis shows that the Social Interaction model based on constructivist theory emphasizes the construction of knowledge through group dynamics, collaboration, and social interaction . Meanwhile, the Personal model based on humanistic theory is oriented towards the development of individual potential, self-awareness, and spiritual reflection . The results of the study conclude that the integration of these two models offers a holistic learning approach, where students not only understand PAI material cognitively, but are also able to actualize religious values through real social experiences and deep personal appreciation .

The digital era demands that organizations be fast-moving, adaptable, and innovative. With the advancement of information technology, changes in work methods, global competition, and stakeholder demands are becoming increasingly complex. Knowledge Management (KM) plays an important role as a strategic mechanism for identifying, acquiring, storing, sharing, and utilizing knowledge to improve organizational effectiveness and efficiency. In this context, knowledge management becomes one of the important elements for organizations to enhance performance. Knowledge management is not just about collecting data or information, but how organizations can store, share, create, and utilize knowledge to gain a competitive advantage. This article aims to analyze the importance of knowledge management for organizational performance in the digital age, including how the digital era changes the dimensions of knowledge management, how knowledge management contributes to organizational performance, the challenges faced, and their implications. The data obtained for this study were gathered from observations thru interviews with relevant parties and a literature review study by examining the results of empirical research from the past five years (2020–2025). The method used was descriptive literature analysis of 15 scientific articles from accredited national journals. The analysis focuses on the relationship between knowledge management dimensions (knowledge creation, storage, sharing, and application) and organizational performance indicators (financial performance, innovation, productivity, and customer satisfaction). The study results show that the implementation of knowledge management significantly contributes to improving organizational performance, both directly thru increased efficiency and effectiveness of work processes, and indirectly thru strengthening a culture of innovation and organizational learning. This article asserts that an organization's success in the digital age is not solely determined by its ability to adopt technology, but also by its ability to manage and leverage knowledge as a strategic resource. Therefore, knowledge management needs to be systematically integrated into the organization's digital strategy, accompanied by strengthening a learning culture, human resource training, and adaptive information technology systems.

This research is motivated by challenges in biology learning, including the lack of digital literacy assessment in schools and the use of conventional learning methods that tend to make students bored. Impractical printed teaching materials cannot be integrated into the form of videos. This research aims to develop an e-module based on Science, Technology, Engineering, and Mathematics (STEM) to analyze the feasibility, practicality, and effectiveness of e-modules in improving students' understanding of concepts and digital literacy on human respiratory system materials. This research uses the Development Research (R&D) method with the ADDIE (Analysis, Design, Development, Implementation, Evaluation) development model.  The research was carried out at SMAN 1 Malinau. The implementation stage used a non-equivalent control group  design involving 34 students in the experimental class and the control class. Data collection instruments include validation sheets for media and material experts, practicality questionnaires for teachers and students, and pretest-posttest  tests to measure concept understanding and digital literacy.  Analysis of effectiveness data using N-gain test and hypothesis test (independent sample t-test for concept understanding and Mann-Whitney for digital literacy). The results of the research based on the validation of media experts and subject matter experts show that the STEM-based e-module is declared "Excellent". The e-module is also rated "Very Practical" by biology teachers and students. The e-module was shown to be effective in improving conceptual understanding, where the average N-gain value of the experimental class (58.63; Quite Effective category) was significantly higher (p=0.017) than that of the control class (40.62).

An answer to the worldwide need for solutions to food security, data fusion technology that combines climate data with satellite imagery greatly improves the accuracy of agricultural yield predictions; this study intends to examine the advancements, methods, and key contributions of this area. By sifting through 62 papers pulled from Scopus, this research employs the SLR methodology. Document type, data source, open access, subject area, and year of publication (2020–2024) are some of the categories filtered through by Boolean keywords in the selection process. To assess patterns in publications, the efficacy of machine learning models, and key contributions, bibliometric analysis was performed. An upward tendency in publication has been identified by the analysis, particularly beyond the year 2023. Integrating geographical and temporal data has been a great success with machine learning models like Random Forest, Random Forest, and Gradient Boosting. Data resolution, integration of data from several sources, and a real-time framework are still missing pieces to the puzzle when it comes to generalizing research outcomes. More complex data fusion approaches, multiregional datasets, and advanced machine learning models to back more accurate agricultural predictions are all things that this study notes as needing additional investigation in the future. To further innovate agricultural yield prediction, multidisciplinary collaboration is also crucial.

This study discusses the design of artificial intelligence-based Al-Qur'an learning media through the Tahseen platform with a focus on the theme of Fastabiqul Khoirot. Al-Qur'an learning in the digital era faces challenges in the form of a lack of interest and involvement of students due to monotonous conventional methods. This study, through library research, aims to provide an overview of how to increase the efficiency of Al-Qur'an learning by integrating AI "Tarteel" Fastabiqul Khoirot Material in the learning process. This study considers the ethical and practical implications of the use of AI technology in religious learning and evaluates its impact on Al-Qur'an learning. In addition, this study also identifies various opportunities and challenges in the use of AI. The results of the study show that the AI “Tarteel” Fastabiqul Khoirot Material not only functions as a supplementary learning medium, but also proven effective in helping students improve their basic Quran reading skills. This success supports the use of applications as innovative learning solutions, while also confirming that technology-based learning, such as the Tarteel application, has great potential to be further developed to improve the quality of Quran education for all students . It is hoped that the results of this study can encourage wider adoption of AI technology in the education system, especially in the context of Quran learning. By strengthening the understanding of how best to utilize AI technology in Quran learning, it is hoped that a more effective and holistic approach can be developed.

The development of digital technology has changed global business patterns, including in Indonesia, through the growth of e-commerce, social media, and online platforms. This change opens up great opportunities for students as the educated young generation to develop online businesses. This research aims to explore students' online business readiness from a digital mindset perspective through a phenomenological study approach among students in Malang. The research focuses on online business readiness, digital mindset, attitudes towards technology, and the contribution of entrepreneurship learning, which are analyzed using the Theory of Planned Behavior framework(Ajzen, 1991) and Entrepreneurial Mindset Theory. The research used qualitative methods with in-depth interviews with online business students. The results show that students have a basic understanding of digital business, especially in utilizing social media and marketplaces. A positive attitude towards technology has been formed, indicated by perceived benefits and ease of use. However, a gap emerges between technical skills and long-term strategic planning capabilities. Innovation and problem-solving tend to be reactive, simply following trends, while psychological resistance such as fear of fraud and data security remain barriers. This research confirms that online business readiness is not only determined by technical skills, but also by the strengthening of an adaptive, innovative digital mindset. This research confirms that online business readiness is not only determined by technical skills, but also by strengthening an adaptive, innovative, and resilient digital mindset.The novelty of this research is the integration of TPB and Entrepreneurial Mindset Theory to understand students' readiness to face digital business challenges.

This research primary objective is to describe the evaluation of Physical Education learning programs in inclusive elementary schools located in Purworejo Regency. The focus is on: (1) analyzing the preparation process for Physical Education learning in inclusive elementary schools, (2) analyzing the implementation process for Physical Education (PE) learning activities in inclusive elementary schools, and (3) analyzing the assessment methods for Physical Education learning in inclusive elementary schools. This research employed an evaluation research method with a Concurrent Embedded (unbalanced mixed) design. The data were analyzed by using the Countenance Stake Model. This model emphasizes two types of operations: description and judgment, distinguished three phases in the evaluation of Physical Education learning in inclusive elementary schools: (1) the antecedent stage, (2) the transaction stage, and (3) the outcomes stage. The research subjects were school supervisors, principals, Physical Education teachers, and parents of students. The data collection techniques used questionnaires, interviews, observation, and documentation. The data were analyzed by using descriptive quantitative and descriptive qualitative analysis techniques. The research findings indicate: (1) the preliminary stage (antecedent), the description of PE learning, is in the good category, because the learning objectives have been adjusted to the conditions of the students, teachers have the qualifications to be able to develop semester programs, syllabi, and lesson plans, the condition of supporting infrastructure, teachers' comprehension on learning strategies and mastery of PE learning materials; (2) the process stage (transaction), the description of PE learning, is in the good category because the implementation of PE learning is in accordance with the curriculum, using integrative thematic learning with a scientific approach and the implementation of authentic assessment; (3) the results stage (outcomes), the measurement of the results of assessments conducted by teachers covering aspects of attitude, knowledge, and skills in PE learning, is in the good category but has not been carried out comprehensively to assess input, process, and output/results.

This research aims to design and build an Internet of Things (IoT)-based electrical energy monitoring system on a Darrieus turbine prototype to optimize energy yield. This research using the Research and Development or RnD method, this method was chosen by researchers because it can provide solutions, enable the development and application of more effective learning methods. The system uses NodeMCU ESP32 sensors to measure important parameters such as voltage, current, power, and energy produced by the turbine. The collected data is then analyzed and visualized through IoT platforms such as ThingsBoard, which allows real- time monitoring of the turbine's performance. The integration of IoT in this system is expected to improve energy use efficiency by providing useful information for management and decision-making in turbine operations. This research also fills the gap in Darrieus turbine development with an approach that combines IoT-based monitoring and energy yield optimization, and can be applied to improve the efficiency of renewable energy in Indonesia

The study used a pseudo-experimental design with a posttest-only control group design pattern. The population included the entire class VII, and the sample was randomly selected of two equivalent parallel classes, totaling 22 students each. The experimental class received the discovery learning treatment, while the control class used conventional methods. The research instrument is in the form of learning outcome tests in the form of objectives and essays that have been tested for validity and reliability. Data were analyzed through normality test, homogeneity test, and t-test of two independent samples at a significance level of 0.05. The results showed significant differences between the two groups. The average posttest score of the experimental class was 80.68 higher than the control class of 72.72. The analysis of the t-test yielded a t_hitung value of 2.74 greater than t_tabel 2.01, which means that the null hypothesis was rejected. The frequency distribution in the experimental class also showed a concentration of scores in the high category, while the control class was more dominant in the medium category. These findings confirm that discovery learning not only improves cognitive learning outcomes, but also encourages students' active engagement, motivation, and critical thinking skills. This study concludes that the implementation of discovery learning is effective in improving science learning outcomes in the classification of living things. Implicitly, teachers are advised to integrate this approach as an alternative to student-centered science learning strategies.