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This study uses a one group pretest posttest design model. posttest on the correlation between vocabulary mastery, reading habits, while pretest with conventional learning, then both groups were measured with the same measuring instrument. To test whether the two data (variables) are the same or different, a t-test was conducted. The t-test obtained a t count of 2.082 with α = 0.05 and t table = 1.725. The testing criteria in the one-tailed test are Ho is rejected and H1 is accepted if t count > t table. The hypothesis can be accepted because t count > t table, namely 2.082 > 1.725. The results of student learning completeness show a significant percentage, namely the pretest gets 10 (50%) students who have not completed and 10 (50%) students who have completed after being carried out on the correlation between vocabulary mastery, reading habits get completeness posttest learning results 18 (88.89%) students who have completed and 2 (11.11%) students who have not completed. It was concluded that through the correlation between vocabulary mastery, students' reading habits can achieve learning completeness because it is one indicator of the effectiveness of this research. The conclusion is that the correlation between vocabulary mastery, reading habits is effective in achieving English reading comprehension for fifth grade students of Gunungsari 01 Pati State Elementary School. Based on the results of this study, the suggestion obtained is that the correlation between vocabulary mastery and reading habits be used as an alternative for teachers to teach English in class.

Communication is a crucial element in the learning process, particularly in the education of students with special needs who possess diverse characteristics, abilities, and communication requirements. These differences require teachers to implement adaptive communication strategies to ensure that learning messages are effectively conveyed and understood by students. This study aims to analyze the communication at SLB YPAC Medan. The subjects of this study specifically focused on third-grade students with intellectual disabilities (tunagrahita) and slow learners. The. The study adopted a qualitative approach using a case study method. Data were collected through observation, in-depth interviews, and documentation, and analyzed using the Miles and Huberman model, which includes data reduction, data display, and conclusion drawing. The findings reveal that teachers apply communication strategies through a combination of verbal and nonverbal communication. Verbal communication involves the use of simple language, repetition of learning materials, and step-by-step instructions tailored to students’ abilities. Meanwhile, nonverbal communication is expressed through facial expressions, body movements, eye contact, and the use of visual learning media to clarify instructional messages. In addition, interpersonal approaches emphasizing patience, attention, empathy, and emotional closeness were found to enhance the effectiveness of teacher–student interactions. Supporting factors include adequate school facilities, psychological services, and therapy programs, while inhibiting factors involve differences in students’ characteristics and limitations in their communication abilities. This study concludes that adaptive communication strategies that accommodate individual student needs play a significant role in creating an effective, comfortable, and supportive learning environment for students with special needs.

The objective of this study is to determine the influence of teacher teaching style on student learning motivation in Islamic Religious Education at SMP Muhammadiyah 1 Wonosobo. The approach used in this study is a quantitative approach with a causal associative method. Data collection was conducted through the distribution of questionnaires to 144 respondents selected using probability sampling technique. Data were collected using questionnaires for the learning motivation variable and the teaching style variable. The technique analysis applied in this study is a simple linear regression analysis with the help of SPSS program. The results of this study indicated the the teacher teaching style has a significant and positive influence on student learning motivation in Islamic Religious Education subjects at SMP Muhammadiyah 1 Wonosobo. This result was proven by the results of the T-test which showed that the significance value of the regression model of this study is greater than the significance level value. Based on these results, it is suggested for Islamic Religious Education teachers at SMP Muhammadiyah 1 Wonosobo to apply adaptive and innovatice teaching style to maintain and increase student learning motivation.

This study aimed to develop teaching materials based on Problem Based Learning (PBL) assisted by Canva media for teaching biography writing to tenth-grade vocational high school students and to examine their validity, practicality, and effectiveness. The study employed a Research and Development (R&D) method using the ADDIE model, which consists of five stages: analysis, design, development, implementation, and evaluation. The participants were 30 tenth-grade vocational high school students. Data were collected through observation, interviews, expert validation questionnaires, student response questionnaires, biography-writing tests, and documentation. The data were analyzed using descriptive quantitative and qualitative techniques. The results revealed that the developed teaching materials achieved a validity score of 95%, categorized as highly valid based on evaluations by subject-matter and media experts. The practicality level reached 94%, categorized as highly practical according to students’ responses. Furthermore, the effectiveness test demonstrated an improvement in students’ biography-writing skills, as indicated by the increase in the average score from 63.47 in the pretest to 84.73 in the posttest. The Normalized Gain (N-Gain) score of 0.58 was categorized as moderate. These findings indicate that the Canva-assisted PBL teaching materials are valid, practical, and effective for use in biography-writing instruction for vocational high school students. The study contributes to innovations in Indonesian language teaching by integrating problem-based learning with digital technology to enhance students’ writing skills.

Political disinformation has become one of the most critical challenges in contemporary digital democracies due to the rapid expansion of social media ecosystems. This study investigates the effectiveness of machine learning approaches in detecting political disinformation across online platforms such as Twitter, Facebook, and political discussion forums. Using a qualitative research design with a content analysis approach, the study examines linguistic manipulation, emotional narratives, sentiment polarity, and behavioral communication patterns embedded in misleading political content. The findings indicate that deep learning models, particularly Long Short-Term Memory (LSTM) architectures, demonstrate superior performance in identifying contextual and semantic inconsistencies compared to traditional machine learning algorithms. The study also reveals that algorithmic amplification, echo chambers, and coordinated bot activities significantly contribute to the rapid spread of political misinformation. Furthermore, the research highlights the importance of ethical artificial intelligence governance, transparency, and digital literacy in strengthening democratic resilience and protecting information integrity within digital communication environments

Background:The digital transformation in education requires teachers to possess adequate competencies in utilizing technology to support innovative, interactive, and student-centered learning. However, the integration of digital platforms into classroom practices remains limited due to teachers’ varying levels of digital competence and experience. This community service program aimed to improve teachers’ competencies in utilizing digital platforms to support innovative learning implementation at SMAN 8 Banda Aceh. Methods:The program employed a participatory approach consisting of needs assessment, workshops, hands-on practice, mentoring, evaluation, and reflection activities. A total of 40 teachers from various subject areas participated in the program. The training materials included the use of Canva for developing digital learning media, Quizizz for gamified assessments, Google Workspace for collaborative learning, and Artificial Intelligence (AI) technologies to assist in instructional material development and creative learning activities. Program evaluation was conducted through participant observation, assessment of digital learning products, satisfaction questionnaires, and reflective discussions. Results: The results showed that participants successfully produced 18 interactive presentations using Canva, 10 digital modules, 8 Quizizz-based quizzes, and 4 evaluation instruments using Google Forms. Furthermore, teachers demonstrated improved competencies in designing digital learning media, developing technology-based assessments, integrating digital platforms into instructional practices, and utilizing AI as a learning support tool. The high level of participation and enthusiasm among participants indicated the effectiveness of the program in strengthening teachers’ digital literacy and technological competencies. Conclusion: In conclusion, the community service program successfully enhanced teachers’ competencies in utilizing digital platforms to support innovative learning in schools.

This study aims to analyze the effect of homework load and extended study hours on students’ learning stress levels. The background of this research is based on increasing academic demands that may affect students’ psychological conditions. This study employs a qualitative approach with data collected through observation and interviews. The results indicate that excessive homework load and prolonged study duration significantly contribute to higher levels of learning stress. Students tend to experience physical and mental fatigue, decreased motivation, and difficulty managing time between study and rest. In addition, pressure to achieve high academic performance further exacerbates stress levels. Other factors such as lack of environmental support and less varied teaching methods also influence students’ stress. Furthermore, students often report feelings of anxiety and emotional exhaustion when academic tasks accumulate without adequate rest periods. This condition not only affects their psychological well-being but also reduces concentration and learning effectiveness in the classroom. Therefore, balanced learning load management, appropriate task distribution, and more effective and humanistic teaching strategies are needed to reduce learning stress and improve the quality of education. Schools and educators are encouraged to consider students’ cognitive capacity and mental health in designing assignments and study schedules to create a more supportive learning environment.

The Free Nutritious Meal Program (MBG) is a free school lunch initiative in Indonesia introduced during the administration of Prabowo Subianto. This study aims to examine the effectiveness of the government's MBG (Free Nutritious Meal) program on kindergarten students' learning interest through a literature review approach. The background of this study is based on the issue of low student learning interest, which is influenced not only by pedagogical factors but also by physical conditions, particularly nutritional intake. This research employed a qualitative approach using a literature review method. The data sources consisted of scientific articles published within the last five years and accessed through Google Scholar. Data were collected through documentation studies, while thematic synthesis was used for data analysis. The findings indicate that the MBG program has a significant positive impact on improving students' learning interest, particularly in terms of attention, motivation, participation, and attendance. The results also reveal that meeting students' physiological needs contributes to their cognitive and emotional readiness to learn. However, the effectiveness of the program is influenced by the quality of its implementation and management in the field. Therefore, more optimal program management and continuous evaluation are needed to maximize its impact on improving the quality of learning.

The rapid advancement of digital technology has significantly influenced various aspects of children's and adolescents' lives, particularly emotional development and social interaction. Excessive and uncontrolled use of digital media may negatively affect emotional regulation, communication skills, and interpersonal relationships. Therefore, educational institutions play an important role in helping students develop positive character and social behavior. Islamic Religious Education (IRE) is expected to contribute to character formation by instilling moral values, strengthening self-control, and encouraging healthy social interactions. This study aimed to analyze the effectiveness of Islamic Religious Education learning on the emotional development and social interaction of late childhood students in the digitalization era. A quantitative study with a cross-sectional design was conducted among 40 students at MIS As-Syafi'iyah 10 Bogor in 2026. Data were collected using structured questionnaires and analyzed using the Chi-square test. The findings revealed that 32 respondents (80%) demonstrated a good level of Islamic Religious Education learning. In addition, 23 respondents (57.5%) showed good emotional development, while 28 respondents (70%) demonstrated good social interaction. Statistical analysis showed a p-value of 0.001 (<0.05), indicating a significant effectiveness of Islamic Religious Education learning on students' emotional development and social interaction. These findings suggest that Islamic Religious Education contributes positively to fostering emotional maturity and improving social relationships among students in the digital era.

This study aims to obtain a comprehensive understanding of the Juz ‘Amma memorization strategy implemented at Madrasah Diniyah Takmiliyah Baitul Azhar, evaluate its effectiveness, and examine the assessment mechanisms applied in Qur’anic learning. The research employed a qualitative field-study approach, focusing on learning activities as the primary object of investigation. Data were collected through direct observation of the learning process, in-depth interviews with the madrasah principal and teachers (ustadz/ustadzah), and documentation analysis related to the memorization program. The data were analyzed through data reduction, data presentation, and conclusion drawing to generate accurate and in-depth findings. The results indicate that the memorization program utilizes a combination of talaqqi, takrir (repetition), sima’i, and small halaqah methods. These strategies have proven effective in improving students’ memorization abilities, as reflected in increased reading fluency, better tajwid accuracy, and the achievement of memorization targets. In addition, the madrasah implements a structured and continuous evaluation system consisting of daily assessments, weekly reviews, and final examinations for each juz. The evaluation focuses on memorization fluency, recitation accuracy, and overall memorization quality. The study concludes that integrating diverse memorization methods with systematic evaluation significantly enhances the effectiveness of Qur’an memorization learning in Islamic educational institutions.  

This study aims to analyze in-depth cognitive learning theory and its implications for improving the effectiveness of Islamic Religious Education (PAI) teaching at the elementary school level. The adopted methodological approach is qualitative through library research, with the application of content analysis and theoretical synthesis techniques. Primary data sources were obtained from academic literature including textbooks, scientific journals, and the latest empirical research relevant within the last decade. The results of the analysis indicate that cognitive learning theory positions cognitive processes as the core of learning activities, allowing students to function as active agents in constructing knowledge through understanding, analysis, memory representation, and integration with pre-existing cognitive schemas. In the context of PAI, this approach enables meaningful learning through interactive pedagogical strategies such as collaborative discussions, problem-solving, case studies, and metacognitive reflection, which are empirically adapted to the stages of students' cognitive development. The implementation of cognitive theory significantly contributes to strengthening conceptual understanding, increasing learning engagement, developing critical thinking skills, transferring knowledge, and internalizing Islamic values. Thus, cognitive learning theory makes a substantial contribution to optimizing the effectiveness of PAI teaching in elementary schools through an interactive, systematic, and understanding-oriented approach.

This study aims to explain the effectiveness of assessment in the learning process, focusing on improving student outcomes at SDN Larangan Tokol 1 Pamekasan. This research applies a qualitative methodology categorized as a descriptive study. Data collection was carried out through observation, interview sessions, and document analysis involving teachers and students at SDN Larangan Tokol 1 Pamekasan The findings of the study indicate that the implementation of learning process evaluation is conducted systematically and continuously through question and answer activities, daily assignments, group discussions, learning practice, daily tests, as well as the assessment of students’ attitudes and skills. Teachers use various strategies to improve the effectiveness of learning evaluation, such as the use of varied teaching methods, providing motivation, habituation of discipline, utilization of learning media, and the implementation of remedial and enrichment programs.Supporting factors for the effectiveness of learning evaluation include the support of the principal, teacher competence, parental support, and the availability of learning facilities. Meanwhile, the obstacles include differences in students’ learning abilities, lack of motivation among some students, and limited availability of certain learning media.The assessment of the learning process contributes effectively to improving students’ academic achievement, shaping discipline and responsibility character, as well as increasing students’ participation and collaboration in the ongoing learning process. Therefore, learning assessment plays a crucial role in creating an effective learning process and improving student achievement at SDN Larangan Tokol 1 Pamekasan.

This study investigates the implementation of the Gradient Boosting Machine (GBM) algorithm for network intrusion detection using the CICIDS2017 dataset within the CRISP-DM framework. The process encompasses Business Understanding, Data Understanding, and Data Preparation including data cleaning, categorical feature encoding, normalization, and data split (80 % training, 20 % testing). In the Modeling phase, GBM Hyperparameters (learning_rate = 0.1; max_depth = 5; n_estimators = 150) were optimized via Grid Search with 2-fold Cross Validation, and F1-Score  was selected as the primary metric due to class imbalance. Evaluation on the test set yielded accuracy of 99.99 %, precision of 100 %, Recall of 99.98 %, and F1-Score  of 99.99 %, demonstrating exceptional detection capability with minimal false negatives and false positives. Compared to previous studies, this GBM model outperforms in accuracy and stability without overfitting. These findings confirm GBM’s effectiveness for modern Intrusion Detection Systems and its suitability for Deployment in resource-constrained operational environments.

Malware represents an evolving cybersecurity threat that demands more effective detection methods. Conventional signature-based detection systems have limitations in identifying new variants, driving the development of deep learning-based approaches. This research implements and evaluates four variants of the YOLOv11 algorithm (n, s, m, l) for malware classification based on visual image representation. The dataset consists of 22,056 malware and benign images, divided into 70% training, 15% validation, and 15% testing across 8 classes (adware, backdoor, benign, downloader, spyware, trojan, virus, worm). Each model was trained for 100 epochs with batch size 32 using Google Colab with GPU support. Results demonstrate that all variants achieve high accuracy (97.8%-98.1%) with YOLOv11m as the best performer (98.1%). YOLOv11n offers optimal balance between accuracy (97.9%) and efficiency (1.5M parameters, 0.3 ms/img inference) ideal for real-time applications. This research surpasses previous methods such as K-NN (97.18%) and hybrid CNN (96.55%) with superior inference speed (0.3-0.9 ms/img vs tens to hundreds of ms/img), proving the effectiveness of YOLOv11 for fast, accurate, and scalable malware detection.

This study aims to map the trends, integration forms, effectiveness, and contribution of ethnomathematics in elementary school mathematics learning toward national cultural preservation. A systematic literature review (SLR) approach following the PRISMA 2020 protocol was employed. Searches across four academic databases (Scopus, Google Scholar, CrossRef, and Semantic Scholar) yielded 1,176 articles, from which 30 articles met the inclusion criteria. Results indicate that ethnomathematics research in elementary schools has increased significantly during 2023–2026, particularly following the implementation of Kurikulum Merdeka. The three most dominant forms of integration are digital modules and media (53.3%), traditional games (33.3%), and ethnomathematics-based worksheets (13.3%). Geometry and measurement is the most researched mathematics topic (50.0%), and conceptual understanding shows the most significant improvement (40.0%). Beyond improving mathematics achievement, ethnomathematics integration contributes to cultural preservation through cultural contextualization in learning (60.0%), strengthening cultural identity and values (26.7%), and active local cultural preservation (10.0%). The study recommends teacher training, curriculum policy strengthening, cross-sector collaboration, and further research to sustain ethnomathematics implementation in Indonesian elementary schools.

In the Education 4.0 era, schools face unprecedented challenges in managing teacher performance effectively. Traditional top-down performance management systems have proven inadequate for fostering continuous professional growth, intrinsic motivation, and adaptive teaching competencies required in increasingly technology-driven learning environments. This study aims to develop, validate, and assess the effectiveness of a School-Based Performance Management (SBPM) model designed to enhance teacher effectiveness across cognitive, affective, and pedagogical dimensions. Using a Research and Development (R&D) design following the ADDIE framework, the study was conducted in three phases: needs analysis, model development, and model validation. Participants included 12 school principals, 186 teachers, and 8 education experts from 24 public secondary schools in [Province, Country]. Validation by experts yielded a content validity index (CVI) of 0.91. Implementation resulted in statistically significant improvements in teacher effectiveness scores (t = 8.74, p < 0.001, Cohen's d = 1.23), digital pedagogy competency (mean increase = 22.4%), and student learning outcomes (mean improvement = 17.8%). The SBPM model provides a contextually responsive, evidence-based framework that empowers schools to manage teacher performance collaboratively, fostering professional accountability and sustainable instructional quality in Education 4.0.

The era of globalization presents challenges of moral degradation among students, including intolerance, individualism, and declining nationalism. These issues make character strengthening through Civic Education (PKn) a national priority. This study aims to analyze the effectiveness of PKn in shaping students’ character, particularly the values of religiosity, nationalism, independence, mutual cooperation, and integrity. The research employed a qualitative Library research design using secondary data from 18 scientific journals and 2 books published between 2021 and 2026. Data were collected through literature review and analyzed using content and thematic analysis to identify patterns of PKn implementation and its impact. The findings indicate that PKn effectively develops Good citizenship through character education based on Pancasila. Effective strategies include teacher role modeling, Problem-Based Learning (PBL), and digital media such as infographics and gamification. These approaches were reported to improve empathy, national loyalty, and integrity among students. The Merdeka Curriculum further supports character development by emphasizing affective learning through authentic projects. Challenges arising from foreign cultural influences can be addressed through collaboration among schools, families, and communities. The study concludes that PKn plays a significant role in strengthening students’ character and supporting the realization of Golden Indonesia 2045 through sustainable character education.

This study was conducted based on the low level of student activeness and understanding in IPAS learning at the elementary school level. The objective of this research was to determine the effectiveness of the role play method in improving students’ activeness and learning outcomes. This study employed a classroom action research approach involving 27 students. The data were collected through observation and evaluation of student learning outcomes. The findings revealed a significant improvement in both student participation and understanding after the implementation of the role play method. Students became more active in asking questions, responding to the teacher, and participating in classroom activities. In terms of learning outcomes, 85.2% of students were able to answer questions correctly and demonstrated good understanding, while the remaining 14.8% also achieved the minimum criteria. These results indicate that learning through direct experience enhances students’ comprehension. The implication of this study suggests that the role play method can be used as an effective alternative teaching strategy to create an interactive, engaging, and student-centered learning environment in elementary education.

The field of education, especially Islamic Religious Education (PAI), has seen substantial changes as a result of the advancement of digital technology and artificial intelligence (AI). The existence of digital media and AI offers numerous opportunities to improve the effectiveness, efficiency, and quality of education through interactive, flexible, and easily accessible learning resources. The purpose of this article is to analyze how artificial intelligence (AI) and digital media are used in Islamic Religious Education. This includes the idea of AI and digital media, AI-based learning materials, the use of AI in educational activities, ethical considerations of AI use, the effects and difficulties of integrating AI, and the Islamic viewpoint on technological advancement. This study employed a library research method by collecting data from relevant journals, books, and other scholarly sources. The findings indicate that the use of AI and digital media in PAI learning can enhance access to information, personalize learning experiences, improve evaluation effectiveness, and increase student engagement in the learning process. However, the implementation of AI also presents several challenges, such as limited digital literacy among teachers, inadequate facilities and infrastructure, ethical concerns, and the potential decline of direct educational interaction between teachers and students. Therefore, the utilization of AI in Islamic Religious Education should be carried out wisely while maintaining Islamic values, ethics, and the primary goal of Islamic education in shaping students’ character.

This study aims to examine the debate regarding the effectiveness of traditional learning methods in science education at Madrasah Ibtidaiyah (MI) amid the development of educational digitalization. The study employed a qualitative approach with a case study design conducted in Jember Regency for three months, from February to April 2026. The research informants consisted of 16 participants, including madrasa principals, teachers, parents, and community members. Data collection techniques were carried out through interviews, observations, and documentation, which were then analyzed using descriptive qualitative techniques. The findings revealed that traditional methods are still considered effective in helping students understand basic science concepts because the learning process is systematic and easy to comprehend. However, limited access to technology in several schools remains an obstacle to the equal implementation of digital learning. In addition, although digital learning can increase students’ motivation and engagement, it does not necessarily lead to an optimal improvement in conceptual understanding. Therefore, this study concludes that a combination of traditional and digital learning methods is the most appropriate approach in science learning at elementary schools and Madrasah Ibtidaiyah, considering students’ needs as well as the availability of facilities and infrastructure. structure.