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This study aims to explore the effectiveness of group counseling services integrated with self-regulated learning (SRL) techniques in enhancing students’ learning motivation. Learning motivation is a crucial factor influencing academic achievement, yet many students still experience low motivation due to various internal and external challenges. The integration of SRL is considered beneficial as it encourages students to actively manage their learning processes through goal setting, self-monitoring, and reflective evaluation. This research employs a literature review approach by examining recent and relevant academic sources. The findings indicate that the application of SRL within group counseling contributes positively to students’ motivation, as reflected in increased participation, improved learning discipline, and stronger responsibility toward academic tasks. Furthermore, students demonstrate better ability in organizing their learning activities and maintaining consistency in achieving learning objectives. These results suggest that SRL-based group counseling can serve as an effective strategy for school counselors in supporting students’ academic motivation and engagement.

This study examines the role of understanding Christian theology in improving the quality of Christian Religious Education (CRE) learning. The focus of the study is how theological foundations can shape students’ character, morals, and spiritual development, as well as how teachers’ instructional strategies can support the achievement of these learning outcomes optimally and sustainably. The method used is a qualitative literature review, analyzing various relevant books and journal articles related to CRE, teaching approaches, and the integration of faith values into the educational curriculum. The findings indicate that mastery of Christian theology serves as an essential foundation in learning, as it enables students to understand their faith deeply while also internalizing Christian principles in their daily lives. In addition, interactive, contextual, and participatory learning methods have been shown to increase student engagement and motivation in the learning process. The role of the teacher as a moral and spiritual role model is also a key factor in strengthening the internalization of these values. Thus, an understanding of Christian theology not only supports cognitive aspects but also contributes to shaping students’ character and ethical behavior, making CRE learning transformational and holistic.

This study investigates the effectiveness of implementing group counseling services using self-regulation learning strategies to improve students' learning discipline. Learning discipline plays a crucial role as a determining factor of academic success; nevertheless, many senior high school students still demonstrate weaknesses in managing their time and fulfilling their academic responsibilities. This study adopted a quantitative approach through a quasi-experimental method utilizing a pre-test and post-test control group design. Subjects were selected using purposive sampling technique with low learning discipline scores as the primary selection criterion. Data were collected using a learning discipline scale that had been tested for its validity and reliability. Hypothesis testing was conducted through a paired sample t-test to detect changes occurring before and after the intervention was administered. The results demonstrated a meaningful improvement in students' learning discipline following participation in group counseling sessions incorporating self-regulation strategies. This technique proved beneficial in helping students plan, monitor, and evaluate their learning activities in a more structured manner. These findings suggest that incorporating self-regulation learning into group counseling has strong potential to become a leading strategy for school counselors in enhancing student discipline and academic achievement.

This study evaluates the effectiveness of group counseling integrated with self-management techniques in minimizing students' academic procrastination. Procrastination is a prevalent academic challenge driven by deficiencies in self-regulation, poor time management, and a lack of learning motivation. A quasi-experimental approach was employed, utilizing a pretest-posttest design. The participants consisted of students identified with high levels of task avoidance. The intervention was delivered through structured group counseling sessions focusing on self-monitoring, self-evaluation, and self-reinforcement strategies. The findings reveal a significant reduction in procrastination levels following the treatment. These results reinforce existing theories regarding the critical role of self-regulation in academic behavior. This study implies that organized self-management frameworks within group counseling can effectively foster student discipline and accountability toward their academic obligations.

This study explores the impact of interactive games on the English vocabulary mastery of grade XI Animal Nursing students at the Kupang State Agricultural Vocational School. Given the low level of vocabulary mastery in vocational high school students, the study aims to investigate how using Gamestolearnenglish.com, an interactive game-based platform, can enhance vocabulary skills. A quasi-experimental design with pre- and post-treatment assessments was implemented. The results showed a significant improvement in students' vocabulary mastery, with the average score rising from 73.70 to 83.52, an increase of 9.82 points. The Shapiro-Wilk test confirmed the normality of the data, and a paired-sample t-test revealed a significant difference between the pre- and post-assessment (p = 0.000). This suggests that the use of interactive games significantly contributes to the enhancement of students' ability to recognize, understand, spell, and use vocabulary. These findings highlight the effectiveness of game-based learning in improving English vocabulary skills among vocational high school students, particularly in agricultural fields.

This study aims to evaluate the Quran Tahfidz program at Bahrul Hikmah Islamic Junior High School using the Context, Input, Process, and Product (CIPP) evaluation model introduced by Stufflebeam. The findings of the research are as follows: First, the evaluation of the context aspect indicates that the program objectives have been comprehensively formulated. Data analysis confirms that the program implementation is well-aligned with the established goals, placing it in the 'good' category. Second, the evaluation of the input component reveals that the managerial competence of the administrators and the pedagogical capabilities of the educators have met the expected standards. Nevertheless, the infrastructure aspects require further optimization to foster a more conducive learning environment for students. Third, regarding the process aspect, the program implementation has generally achieved the targeted outcomes. However, observations identified obstacles predominantly stemming from students' internal factors; this implies the crucial role of teachers in integrating motivational stimuli as a preventive measure against declining learning enthusiasm. Fourth, the product evaluation shows that the daily memorization targets are generally achieved, although some students require remedial sessions. Ultimately, students are capable of completing the memorization of three juz within the three-year period.

The purpose of this study was to explore the extent to which the Somatic, Auditory, Visual, and Intellectual (SAVI) learning model can improve students' understanding of Fiqh at MTs Negeri 2 Cilacap. The background of this study is the low level of student understanding, which is caused by a teaching approach that is still teacher-focused, resulting in less student involvement in the learning process. This study used a quantitative approach with a Quasi-Experimental Non-Equivalent Control Group Design. The research sample consisted of two classes, namely the experimental class and the control class, each containing 31 students. The research instrument was a Fiqh understanding test whose validity and reliability had been tested. The resulting data analysis test, which was carried out using a normality test, showed that all test items were declared valid (0.101 > 0.05), as well as the homogeneity test (0.773 > 0.05) and the t-test (0.025). so that Ho was rejected and Ha was accepted, meaning there was a difference between the control class and the experimental class. The results of the study show the effectiveness of the SAVI learning model on students' understanding of Islamic jurisprudence at MTs Negeri 2 Cilacap.

This study aimed to examine the effectiveness of audio-visual learning media through PowerPoint in improving Arabic descriptive writing skills among sixth-grade students ITTC at Pondok Modern Tazakka in the 2025/2026 academic year. This research employed a quantitative approach using a pretest–posttest control group experimental design. The sample consisted of 68 students divided into an experimental group and a control group, each comprising 34 students. Data were collected through Arabic descriptive writing tests and analyzed using normality tests, homogeneity tests, the Mann–Whitney test, and N-Gain analysis with SPSS version 27. The results showed that the average posttest score of the experimental group (80.14) was higher than that of the control group (77.79). The Mann–Whitney test yielded an Asymp. Sig. (2-tailed) value of 0.001 (< 0.05), indicating a statistically significant difference between the two groups. Furthermore, the average N-Gain score of the experimental group reached 62.95%, categorized as moderate to high and higher than the control group (56%). These findings indicate that the use of PowerPoint-based audio-visual media is effective in enhancing students’ Arabic descriptive writing skills.

The mining sector is widely recognized as a high-risk industry characterized by complex social, environmental, and organizational challenges. In response, sustainability governance in mining has predominantly relied on institutional mechanisms such as regulations, voluntary standards, and sustainability reporting frameworks. However, growing evidence indicates that these approaches often fail to generate substantive sustainability outcomes because they insufficiently address human and organizational dimensions. This literature review aims to synthesize existing research on sustainability governance in the mining sector by shifting the analytical focus from institutional sustainability to human behavioral engagement. Using a systematic and thematic literature review approach, this study analyzes peer-reviewed articles indexed in Scopus that examine sustainability governance, human behavior, and organizational dynamics in the mining sector. The findings reveal a persistent gap between formal sustainability commitments and actual practices, frequently manifested in symbolic compliance and greenwashing. The review further demonstrates that human behavior—shaped by employee engagement, trust, perceived justice, and organizational culture—plays a decisive role in determining the effectiveness of sustainability governance. Moreover, the literature highlights the limitations of rigid, top-down governance models in managing the complexity and uncertainty inherent in mining systems, emphasizing the relevance of adaptive governance approaches that promote learning, flexibility, and stakeholder participation. This study contributes to the literature by integrating institutional, behavioral, and adaptive governance perspectives into a human-centered framework. Practically, it underscores the strategic role of human resource management in translating sustainability commitments into meaningful behavioral change and long-term sustainability outcomes in the mining sector.

Higher education management at the master's level currently faces urgent challenges, namely learning fatigue and low engagement among professional students, especially in Prior Learning Recognition (RPL) classes. Currently, lecturers still tend to apply conventional learning methods based on static presentations that fail to accommodate andragogical characteristics due to a lack of dynamic interaction. Therefore, this study aims to evaluate the effectiveness of the “Humanistic Digital Andragogy” approach through the integration of gamification (Kahoot) and visual thinking (Whimsical) in the Strategic Human Resource Management course. The researchers used a descriptive qualitative design with thematic analysis and collected data through feedback from students in the Master of Management Program (Semarang and Sorong classes). The results revealed that technology served as a double catalyst: Whimsical visualization effectively reduced the cognitive load of complex strategy material, while competition in Kahoot triggered positive adrenaline (eustress) that increased attention. These findings confirm that the success of technology is highly dependent on the role of lecturers as humanistic facilitators (high-touch). This synergy has been proven to change students' perceptions of HRM from merely administrative to strategic partners, as well as creating learning satisfaction that is relevant to the world of work.

Early reading skills are fundamental competencies that must be mastered by elementary school students, as they serve as the foundation for future academic success. However, conventional teacher-centered instruction often fails to maximize students’ active engagement in learning. This study aims to analyze the effectiveness of the Project Based Learning model assisted by mind mapping media in improving the early reading skills of second-grade elementary students. This research employed a quantitative approach with an experimental design. The participants were second-grade students who received instruction through the Project Based Learning model assisted by mind mapping media. Data were collected using reading skill tests administered before and after the treatment. The data were analyzed to identify differences in students’ reading abilities following the implementation of the learning model. The findings indicate that the implementation of Project Based Learning assisted by mind mapping media has a positive effect on students’ early reading skills. The model promotes active student participation, enhances critical and creative thinking skills, and facilitates comprehension through structured visual representation of concepts. Furthermore, the learning environment becomes more interactive and meaningful, increasing students’ motivation to engage in reading activities. Therefore, the Project Based Learning model assisted by mind mapping media is recommended as an alternative instructional strategy to improve early reading skills in elementary schools.

The computer laboratory is an essential facility in higher education that requires efficient management of usage and environmental conditions to support the teaching and learning process. However, laboratory management at the Kalimantan Business and Technology Institute is still carried out manually, including scheduling, room condition monitoring, and report creation, which is prone to errors and time-consuming. This study aims to develop an Internet of Things (IoT)-based laboratory monitoring system prototype to improve the effectiveness of computer laboratory management. The approach used is Research and Development (R&D) with a prototype development model, allowing for design adjustments based on user feedback iteratively. Data were collected through observations, interviews, and document studies related to laboratory conditions and analyzed to determine the main system features, such as temperature and humidity monitoring, scheduling, and report generation. The results of the study show that the developed prototype can structure the laboratory workflow, provide real-time monitoring, facilitate schedule management, and simplify report preparation. This prototype is expected to serve as a foundation for developing a more comprehensive application, improving data accuracy, time efficiency, and the quality of laboratory management.

The computer laboratory is an essential facility in higher education that requires efficient management of usage and environmental conditions to support the teaching and learning process. However, laboratory management at the Kalimantan Business and Technology Institute is still carried out manually, including scheduling, room condition monitoring, and report creation, which is prone to errors and time-consuming. This study aims to develop an Internet of Things (IoT)-based laboratory monitoring system prototype to improve the effectiveness of computer laboratory management. The approach used is Research and Development (R&D) with a prototype development model, allowing for design adjustments based on user feedback iteratively. Data were collected through observations, interviews, and document studies related to laboratory conditions and analyzed to determine the main system features, such as temperature and humidity monitoring, scheduling, and report generation. The results of the study show that the developed prototype can structure the laboratory workflow, provide real-time monitoring, facilitate schedule management, and simplify report preparation. This prototype is expected to serve as a foundation for developing a more comprehensive application, improving data accuracy, time efficiency, and the quality of laboratory management.

This research aims to develop and assess the feasibility of Microsoft Access-based learning media as a digital archive tool. Using a Research and Development (R&D) approach, the study follows the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). The participants included one media expert, one material expert, one language expert, and 33 class X MPLB students at SMK Negeri 49 Jakarta. Data collection was conducted through observations, interviews, and questionnaires rated on a Likert scale, evaluated by experts and students. The findings show that: 1) The Microsoft Access-based media, developed for the MPLB basics subject, can be run on laptops or computers; 2) The media suitability received an 81.3% rating ("Very Appropriate"), material suitability 89.3% ("Very Appropriate"), and language suitability 100% ("Very Appropriate"). In the trials, individual testing with three students yielded 89.6% ("Very Eligible"), small group testing with 10 students received 75.7% ("Decent"), and field testing with 20 students reached 86.8% ("Very Eligible"). 3) The product is deemed highly suitable by experts, with strong support from small group and field trials, confirming its effectiveness as a learning tool.

Education plays a crucial and essential role in improving the quality of human resource globally, thus a research was conducted with the aim of producing a product, namely a learning module. This module is one of the learning resources that can be used by students independently. Therefore, the module was developed to function as a learniing guide for students. The lerning model used in this research is Creative Problem Solving. In this learning model, the teacher presents problems so that students can find answers innovatively and sharpen  their critical thinking skills. The suitability of this learning module will be evaluated based on three aspect, namely validity, practicality, and effectiveness. Based on the research sample data, this consists of students from class XI Electrical Power Installation Techniques (TITL) 1 at SMKN 1 Driyorejo. This method uses the Research & Development (R&D) approach. The analysis of differences in learning outcomes was carried out using the One Group Pretest-Posttest Method, the treatment in the form of a learning module based on the Creative Problem Solving model was given to student. The research result show that (1) the modules suitability is stated as very valid wth a score of 89,60, (2) aspect, it is stataed as very practical with a total average reaching 90,60, (3) effectiveness is proven from the improvement in learning outcomes in terms of knowledge and domains with an average pretest score of 51,3, while the average posttest score is 85 with a significance of 0.000.

This study presents a Graph-Augmented Isolation Forest (GAIF), an unsupervised anomaly-detection framework for analyzing mobile user behavior. The proposed framework represents users and behavioral attributes as a user–feature bipartite graph, enabling the capture of relational dependencies that are not explicitly modeled in conventional vector-based approaches. Low-dimensional user representations are learned through Node2Vec and Graph Sample and Aggregate (GraphSAGE), and the resulting embeddings are subsequently processed by an Isolation Forest to produce anomaly scores. Experiments are conducted on a Mobile Device Usage and User Behavior dataset comprising 700 user profiles derived from application-level behavioral indicators. The dataset is treated as a behavioral abstraction rather than as a malware classification benchmark. A consistent 80:20 stratified train–test split is employed, with all learning-capable operations restricted to the training data to mitigate information leakage. Detection performance is evaluated post hoc using precision, recall, F1-score, and area under the curve (AUC) metrics. Under the evaluated setting, GAIF achieves an F1-score of 0.94 and an AUC of 0.97, demonstrating improved anomaly detection effectiveness relative to representative unsupervised baseline methods. These results are obtained on a static, proxy dataset and should not be interpreted as evidence of real-time deployment capability. Model interpretability is supported through post-hoc Uniform Manifold Approximation and Projection (UMAP) visualizations of the learned embeddings, providing structural insights into anomalous user behavior. Overall, the findings indicate that integrating graph-based representation learning with isolation-based anomaly scoring constitutes a computationally efficient approach for unsupervised mobile user behavior anomaly detection within the scope of this study.

This study was motivated by the importance of the availability and quality of infrastructure as a major supporting factor for the comfort and smooth running of the lecture process at the postgraduate level. The purpose of this study was to evaluate educational facilities and infrastructure based on the perceptions of postgraduate students in the Islamic Education Study Program (PAI) using the Context, Input, Process, and Product (CIPP) evaluation model. This research is an evaluative study with a qualitative approach, involving PAI graduate students as research subjects. Data collection was conducted through questionnaires, in-depth interviews, and field observations, then analyzed using the Question Discourse technique to obtain a comprehensive understanding of the students' experiences and assessments. The results show that students view facilities and infrastructure as important to very important in supporting the lecture process. In general, the facilities are considered adequate, but there are still limitations in the air conditioning system and internet network stability, which affect the comfort and effectiveness of learning. The implications of this study emphasize the need for continuous improvement in the quality, maintenance, and management of facilities and infrastructure to support the quality of PAI postgraduate education.

Hypertension is a major non-communicable disease, particularly challenging in regions with extensive service areas. Community health volunteers are essential for prevention and management through blood pressure measurement. Existing training programs focus primarily on knowledge, highlighting the need to integrate cognitive learning with small-group skills practice to enhance practical competencies and community-based hypertension control. A quasi-experimental design with a pretest–posttest design was conducted to evaluate the effectiveness of combined lecture and small-group training. Knowledge was assessed before and after training, while skills were evaluated post-intervention. Thirty volunteers from the Public Health Center Selakau participated. The results showed that knowledge of blood pressure measurement improved significantly, with pretest scores of 74.67 ± 16.34 rising to posttest scores of 90.00 ± 10.50 (p < 0.005). Posttest evaluation of practical skills showed a mean score of 80.93 ± 13.35, indicating proficient performance in most assessed items. Combined lecture and small-group training effectively enhanced both knowledge and practical skills of community health volunteers in blood pressure measurement. Integrating cognitive learning with hands-on practice strengthens theoretical understanding and field competencies, supporting more effective community-based hypertension control programs.

Social Studies (IPS) learning at the elementary school level plays a strategic role in shaping students’ understanding of social, cultural, and economic life, as well as national values. This study aims to analyze the differences between the 2013 Curriculum and the Merdeka Curriculum in IPS learning, including planning, implementation, the use of methods and media, and the assessment of learning outcomes. The research employed a descriptive qualitative approach with a case study, collecting data from curriculum documents, lesson plans (RPP), syllabi, classroom observations, interviews with teachers and school principals, and student questionnaires. The results indicate that the 2013 Curriculum provides a clear learning structure, detailed lesson plans, and systematic material organization that facilitates teachers, but it is less flexible and less contextualized for students. In contrast, the Merdeka Curriculum emphasizes flexibility, relevance of content to the local context, innovative methods such as project-based learning and blended learning, as well as holistic assessment focusing on critical thinking skills, social literacy, and student character. The implementation of the Merdeka Curriculum can enhance students’ learning interest, active participation, understanding of social concepts, and social awareness; however, its effectiveness depends on teacher readiness, school support, facilities, and consistency in assessment. These findings suggest that selecting an appropriate IPS curriculum should consider a balance between structure and flexibility, content relevance, teacher competence, and supporting facilities.

This research develops a machine learning model to classify customer loyalty using the Random Forest algorithm. Customer churn is a critical issue that reduces revenue and increases acquisition costs. A dataset of 50,000 customers from global e-commerce and subscription platforms was processed through data cleaning, imputation, outlier handling, and class balancing with SMOTE. The Random Forest model was built as a baseline and optimized with hyperparameter tuning. Evaluation using accuracy, precision, recall, and F1-score shows that the optimized model achieved 90.81% accuracy and 83.87% F1-score, outperforming previous Naïve Bayes approaches. Feature importance analysis highlights customer service interactions, lifetime value, and demographic factors as key predictors of churn. These findings demonstrate Random Forest’s effectiveness in churn prediction and provide practical insights for customer retention strategies