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This study aims to analyze and synthesize research findings related to the integration of Buddhist values in the development of interactive learning media. The research employed a qualitative approach using a systematic literature review method on fifty selected articles published between 2018 and 2025. Data were collected through a structured process of identification, screening, and extraction from primary sources consisting of accredited national journals and reputable international journals. The data were analyzed using thematic and comparative synthesis techniques to identify patterns, effectiveness, and research gaps. The results show that interactive learning media based on Buddhist values can enhance students’ motivation, moral understanding, and engagement through the use of technologies such as gamification, educational animation, augmented reality, and mobile applications. The effectiveness of these media is strongly influenced by the alignment between Buddhist ethical principles, instructional design, and the cultural context of learning. Furthermore, the study reveals that the successful integration of spiritual values into digital media depends on educators’ readiness, digital literacy, and technological infrastructure support.

The study describes the implementation of the Christian Religious Education teaching module with the theme Allah Creates Man to Manage in grade VI students of SD Negeri 1 Kereng Bangkirai. The qualitative descriptive approach applied direct observation, documentation of activities, and assessment of learning outcomes in the affective, cognitive, and psychomotor domains to the 11 students who attended. The teaching module is aligned with the Learning Outcomes of Phase C of the Independent Curriculum providing a directed learning structure from Genesis 2:8-15. The opening activities include greetings, prayers, praise, Bible readings, as well as students' experiential questions about nature to build a relationship between the material and everyday reality. Core activities utilize explanations, group discussions, presentations, and clipping projects with the theme of loving God's created nature that increase active participation, cooperation, and creativity of students. Assessments showed good results in all three learning domains despite constraints such as the discomfort of cross-gender discussions and the introverted nature of students; The role of teachers in creating a safe atmosphere strengthens the effectiveness of the process. Reflection confirms meaningful learning that shapes an attitude of gratitude, environmental concern, and Christian responsibility.

AImbalanced data remains a significant issue in heart disease classification using machine learning, as it tends to cause models to overestimate the majority class while ignoring minority classes with high clinical value. This can lead to a decrease in accuracy and the model's ability to accurately detect disease cases. Therefore, this study aims to assess the effectiveness of oversampling techniques, namely Random Oversampling and Synthetic Minority Oversampling Technique (SMOTE), in improving the performance of the K-Nearest Neighbors (KNN), Naive Bayes (NB), and Random Forest (RF) algorithms. The dataset used comes from Kaggle and consists of 918 data sets with 12 attributes representing patient information related to heart disease prediction. The research stages include data preprocessing, baseline model testing, and re-evaluation using the two oversampling methods. Experimental results show that oversampling can improve the performance of all algorithms. KNN achieved the best results with SMOTE, with an accuracy of 72.98% and an F1-score of 75.39%. In the Naive Bayes algorithm, both oversampling techniques produced relatively stable performance, with the highest F1-score of 73.56% using SMOTE. Meanwhile, Random Forest showed the most optimal performance when combined with Random Oversampling, with an accuracy of 79.19% and an F1-score of 81.51%. These findings confirm that the success of data balancing techniques is strongly influenced by the characteristics of the classification algorithm used, and provide a practical contribution in determining strategies for handling imbalanced data in health research.

This study aims to analyze the implementation of artificial intelligence in economics learning within the context of the Merdeka Curriculum and to examine its alignment with deep learning principles. The study employed a qualitative approach using a case study design conducted at SMAN 1 Boyolali. The research participants included economics teachers and eleventh grade students. Data were collected through classroom observations, in depth interviews, and document analysis. Data analysis was carried out interactively through data reduction, data display, and conclusion drawing and verification. The findings indicate that the use of artificial intelligence in economics learning remains limited and has not been systematically integrated into pedagogical design. AI is primarily utilized as a supporting tool for lesson preparation and concept clarification rather than for adaptive learning, data driven assessment, or the enhancement of students’ critical thinking skills. Although students demonstrated positive responses toward AI assisted learning, several constraints were identified, including teachers’ limited pedagogical competence in AI integration, the absence of deep learning based instructional design, and infrastructural challenges. These findings suggest that the effectiveness of artificial intelligence in economics education depends not merely on technological availability, but on the alignment between pedagogy, curriculum policy, and human resource readiness.

The use of technology-based learning media, such as Smart TVs, has great potential in improving the quality of learning in elementary schools (SD). Smart TVs can support interactive learning, enrich teaching materials, and increase student learning motivation. However, in reality, many elementary schools still face limited supporting facilities so that their use is not optimal. This study analyzes the use of Smart TV in elementary schools with limited infrastructure, teacher readiness, and its impact on the learning process. The analysis method was carried out qualitatively through the study of school conditions, observations, and interviews with teachers. The results of the study show that the limitations of the internet network, the lack of supporting devices, and the lack of teacher training are the main factors that hinder the effectiveness of the use of Smart TVs. The impact of these limitations is the low integration of technology in learning, limited access to digital materials, and the suboptimal role of teachers as facilitators. Therefore, policy support from the government, improving school facilities, and teacher training programs are needed so that the use of Smart TVs can run optimally. The conclusion of the study emphasizes that Smart TV has the potential to become an innovative learning medium in elementary schools if supported by adequate infrastructure facilities and teacher competence in accordance with the demands of the digital era.

Primary Healthcare Facilities (Fasilitas Kesehatan Tingkat Pertama, FKTP) represent the first level of contact in the healthcare system and play a central role in infection prevention and control. Despite mandatory Infection Prevention and Control (IPC) training in Indonesia, evidence regarding its effectiveness in improving cognitive abilities among primary healthcare workers remains limited. This study aimed to evaluate the effectiveness of IPC training in enhancing the cognitive abilities of healthcare workers in FKTP. A quasi-experimental study with a one-group pretest–posttest design was conducted involving 91 healthcare workers who participated in IPC training across three cohorts in 2024. The training was delivered online through a Learning Management System and consisted of structured learning modules accompanied by a pre-test and a final quiz. Cognitive improvement was assessed using paired samples t-tests, while the magnitude of training impact was evaluated using Cohen’s dz effect size. The results showed statistically significant improvements in cognitive scores across all cohorts (p < 0.001), with mean score increases ranging from 16.10 to 23.35 points. Effect size analysis revealed large to very large effects, with an overall Cohen’s dz of 1.19, indicating substantial and practically meaningful cognitive gains. In conclusion, IPC training was effective in improving cognitive competence among FKTP healthcare workers. These results reinforce the value of well-structured training programs as an essential component of efforts to strengthen infection prevention capacity in primary healthcare settings.

This experimental study investigated the effectiveness of Process Oriented Guided Inquiry Learning (POGIL) based Student Worksheets in enhancing metacognitive skills among eleventh grade students learning Chemical Equilibrium. Utilizing a one group pretest posttest design with 36 participants, the intervention implemented specially designed worksheets integrating POGIL's inquiry cycle with explicit metacognitive scaffolding. Metacognitive skills comprising planning, monitoring, and evaluating components were measured through validated essay instruments before and after four instructional sessions. Statistical analysis using the Wilcoxon Signed Rank Test revealed a significant improvement in overall metacognitive skills (Z = -5.197, p < 0.001, large effect size d = 2.47). Notably, 94.44% of students demonstrated measurable progress, with normalized gain scores indicating high improvement in planning (g = 0.82), moderate improvement in evaluating (g = 0.51), and moderate improvement in monitoring (g = 0.48). These findings substantiate that POGIL based worksheets, when designed with intentional metacognitive prompts, effectively foster the development of higher order regulatory skills essential for mastering complex chemical concepts. The study contributes to science education literature by demonstrating how inquiry based pedagogies can be optimized for metacognitive skill development.

This study was motivated by the low level of internalisation of religious values in Islamic Religious Education, especially at the madrasah level, where the process of instilling valuesoften stops at the cognitive level. This study aims todescribe the process of internalising religious values through the film Laut Tengahand assess its effectiveness in improving students' understanding andappreciation of religious values at MTs Manbail Futuh 2 Bancar. The approach used was qualitative with a case study design, because the phenomenon under reviewwas contextual and required in-depth understanding. Datawere collected through direct observation during learning, interviews with teachers andstudents, as well as documentation of learning tools and film clips. Data analysiswas carried out through data condensation, data presentation, and drawingconclusions using the Miles, Huberman, and Saldaña model. The results showedthat the film Laut Tengahwas effective in facilitating the internalisation of religious values through the visual,emotional, and cognitive engagement of students. Students were able to identify values such ashonesty, patience, discipline, gratitude, and social awareness, anddemonstrated appreciation reflected in their self-reflections. With teacher guidance, films became a medium capable of connecting values with the real experiences ofstudents.

Digital-based learning evaluation is an important effort to improve the effectiveness and efficiency of the assessment process. However, learning evaluation practices at MTsN 2 Kota Tangerang are still dominated by conventional methods and the limited use of simple digital applications. This community service activity aims to strengthen digital-based learning evaluation practices through training on the use of the Zep Quiz application for teachers. The activity employed a participatory and applicative approach, including observation, focus group discussions, training and mentoring, and program evaluation. The training was conducted in a hybrid format and focused on introducing, developing, and analyzing learning evaluations using Zep Quiz. The results indicate that teachers improved their understanding and skills in designing and operating digital-based learning evaluations independently.Teachers also demonstrated high enthusiasm and active participation throughout the activity. Although technical challenges such as varying levels of digital literacy and limited internet access were encountered, these issues were addressed through direct mentoring. Therefore, the Zep Quiz training was effective in strengthening digital-based learning evaluation practices at MTsN 2 Kota Tangerang.

This study aims to analyze the implementation of the Merdeka Curriculum in Fiqh subjects and how its application affects the improvement of students' understanding. Using the library research method, this study reviews various recent literature in the form of scientific articles, accredited journals, academic books, and relevant policy documents. The results of the study show that the Merdeka Curriculum is conceptually aligned with the principles of Islamic education, especially in terms of character development, freedom of learning, and student-centered learning. However, the implementation of this curriculum in Fiqh learning still faces a number of challenges, such as teachers' limited understanding of the new curriculum approach, a lack of project-based contextual teaching materials, and difficulties in conducting authentic assessments on aspects of worship and morals. Technical challenges such as the availability of facilities and access to technology also hamper the effectiveness of learning. This study emphasizes the need for continuous teacher training, the development of open-access learning resources, and improved infrastructure support in order to strengthen the implementation of the Merdeka Curriculum. Overall, this curriculum has significant potential to improve students' understanding of Fiqh if it is supported by appropriate and collaborative implementation strategies.

Reading comprehension, especially in personal letter texts, is challenging for many Indonesian high school students due to limited vocabulary and low motivation. Blooket, a game-based learning platform, offers potential to improve engagement and learning outcomes.Objective: This research aims to examine the effectiveness of Blooket learning media in improving students’ reading comprehension of personal letters at Grade XI of SMA PGRI Pekanbaru. A quantitative approach with a quasi-experimental non-equivalent control group design was used. The sample consisted of 39 students, divided into an experimental group taught with Blooket and a control group taught conventionally. Pre-tests and post-tests (25 multiple-choice items) were administered, and data were analyzed using normality, homogeneity, The experimental group’s mean score increased from 55.21 to 84.96, while the control group improved from 51.53 to 72.00. The paired sample t-test yielded p = 0.000 (<0.05), indicating a significant effect of Blooket on reading comprehension. Blooket’s interactive and competitive features effectively enhanced students’ reading comprehension of personal letters, motivation, and participation, making it a valuable alternative for teaching short functional texts in EFL classrooms.

This experimental study investigated the effectiveness of Process Oriented Guided Inquiry Learning (POGIL) based Student Worksheets in enhancing metacognitive skills among eleventh grade students learning Chemical Equilibrium. Utilizing a one group pretest posttest design with 36 participants, the intervention implemented specially designed worksheets integrating POGIL's inquiry cycle with explicit metacognitive scaffolding. Metacognitive skills comprising planning, monitoring, and evaluating components were measured through validated essay instruments before and after four instructional sessions. Statistical analysis using the Wilcoxon Signed Rank Test revealed a significant improvement in overall metacognitive skills (Z = -5.197, p < 0.001, large effect size d = 2.47). Notably, 94.44% of students demonstrated measurable progress, with normalized gain scores indicating high improvement in planning (g = 0.82), moderate improvement in evaluating (g = 0.51), and moderate improvement in monitoring (g = 0.48). These findings substantiate that POGIL based worksheets, when designed with intentional metacognitive prompts, effectively foster the development of higher order regulatory skills essential for mastering complex chemical concepts. The study contributes to science education literature by demonstrating how inquiry based pedagogies can be optimized for metacognitive skill development.

That Christian Religious Education teachers update their professionalism and competencies to ensure that Christian education remains relevant, effective, and transformative. This study aims to analyze the modernization of the professionalism of Christian Religious Education teachers, including the integration of spirituality with modern pedagogical approaches and strategies for developing teacher competencies in addressing the challenges of the digital generation. The study employs a descriptive qualitative approach, collecting data through literature review from books, journals, notes, and relevant reports, and presenting the findings in a narrative form. The results show that the modernization of teacher competencies involves the development of pedagogical, personal, social, spiritual, and professional competencies, with the ability to integrate spirituality, technology, and modern teaching methods such as collaborative and digital learning to create contextual, engaging, and transformative learning experiences. In conclusion, the modernization of professionalism among Christian Religious Education teachers is an urgent necessity to enable teachers to deliver God’s Word in a relevant manner, shape students’ character and spirituality, and enhance the effectiveness of Christian education through mastery of holistic and collaborative competencies.  

Jambi Province is one of the largest natural rubber producing regions in Indonesia; however, rubber factories under GAPKINDO Jambi still face productivity issues, particularly the gap between production capacity and actual output, and productivity assessment that is still conducted manually by GAPKINDO Jambi. This study employs Decision Tree, Random Forest, KNN, and SVM algorithms within a structured pipeline involving preprocessing, feature selection, standardization, data balancing using SMOTE, and hyperparameter tuning. The proposed solution applies productivity level classification both individually and through paired combinations (ensemble voting). The results show that the Decision Tree + Random Forest model achieves the best performance with an accuracy of 0.84 and an F1-score of 0.83, confirming the effectiveness of ensemble methods in supporting productivity improvement decisions.

The transformation of the post-pandemic education system has crystallized online learning as a permanent component, with parents assuming an unprecedented instructional role at the elementary level, particularly at Madrasah Ibtidaiyah (MI). This qualitative case study aims to analyze in depth the dynamics and implications of the role of these parents during the transition period. Data was collected through in-depth interviews with parents, students, and teachers from two MIs in Blora, enriched by observation and analysis of communication documents. The findings of the study reveal three crucial things: first, there is a transformation of the role of parents into "substitute teachers" which creates a significant psychological burden due to the gap between the demands of the role and pedagogical capacity. Second, the communication pattern between schools and parents is still one-way and administrative, and has not built a collaborative three-way partnership by involving students. Third, the quality of parental assistance is very diverse and highly dependent on their digital literacy capacity and educational background, which directly affects the development of students' self-regulated learning. This study concludes that the effectiveness of parental roles is determined by psycho-educational support, the quality of communication channels, and the level of personal capacity, so policy implications must move towards a differentiated and empowerment-oriented approach.

This psychoeducation is motivated by the need for service support for students with special needs at SLB Negeri Pembina Yogyakarta. Some students with intellectual disabilities require assistance in recognizing and expressing their emotions. The purpose of this counseling activity is to provide appropriate media needed to support the development of students’ emotional expression in everyday social interactions. The counseling method employed was a play-based learning approach. The evaluation of the effectiveness of this method involved 10 students with intellectual disabilities, consisting of 7 male students and 3 female students in Grade VII of junior high school. Based on the results of the counseling activities, which were conducted in three stages—namely the opening stage, the emotion recognition stage, and the application of the emotion wheel—it was found that the use of the emotion wheel media strengthened the emotional expression abilities of students with intellectual disabilities. This improvement was evident from observable changes in the emotional behavior of some students.

End-to-end autonomous driving has emerged as a promising paradigm in which deep neural networks directly map raw visual inputs to continuous control actions. Despite its effectiveness, this approach suffers from limited transparency, posing significant challenges for deployment in safety-critical driving scenarios. This study addresses the lack of interpretability in vision-based end-to-end autonomous driving systems and aims to analyze model decision-making behavior under critical conditions such as sharp steering maneuvers and abrupt control transitions. To this end, an explainable end-to-end autonomous driving framework is proposed, combining a convolutional neural network trained via imitation learning with gradient-based visual attribution techniques, including Grad-CAM. The model predicts continuous steering, throttle, and braking commands directly from front-facing camera images, while explainability mechanisms are applied to reveal input regions influencing each control decision. Model performance is evaluated using both prediction accuracy and safety-oriented behavioral metrics. Experimental results show that the proposed explainable model achieves lower control prediction errors compared to a baseline end-to-end CNN, reducing steering mean squared error from 0.034 to 0.031, throttle error from 0.021 to 0.019, and brake error from 0.018 to 0.016. Moreover, safety-oriented analysis indicates improved driving stability, with steering variance reduced from 0.087 to 0.072 and abrupt control changes decreased from 14.6 to 10.3 events. Visual explanations consistently highlight road surfaces and lane-related structures during complex maneuvers, indicating reliance on semantically meaningful cues. In conclusion, the results demonstrate that integrating explainability into end-to-end autonomous driving not only preserves predictive performance but also correlates with smoother and more stable driving behavior. This framework contributes to the development of transparent and trustworthy autonomous driving systems suitable for safety-critical applications

This study investigates the effectiveness of a multimodal approach in improving students’ English reading comprehension at SMPN 10 South Tangerang during the 2025/2026 academic year. Involving 42 eighth-grade students, the research aimed to determine whether integrating various modes of learning—such as text, images, audio, and video—could enhance reading comprehension more effectively than traditional text-based instruction. A pre-experimental one-group pre-test and post-test design was used to measure students’ progress before and after the implementation of multimodal learning. Data were analyzed using a paired sample t-test to identify significant differences between the two tests. The results indicated a notable improvement, with the mean score increasing from 70.48 on the pre-test to 79.76 on the post-test, representing a gain of 9.28 points. The significance value (Sig. 2-tailed = 0.000) confirmed that the improvement was statistically meaningful. These findings demonstrate that multimodal instruction enhances comprehension by presenting information through multiple sensory channels, supporting diverse learning preferences, and creating a more engaging and interactive learning environment. The study concludes that the multimodal approach is an effective method for teaching reading comprehension in junior high school and recommends broader application in English classrooms to strengthen students’ motivation, understanding, and overall learning outcomes.

The dynamics of student organization structure have significant implications for talent retention and student career development. This study aims to comparatively analyze the influence of centralization and decentralization structures in the Information Technology Study Program Student Association on the effectiveness of talent retention strategies and career development capacity. The research method uses a quantitative approach with a comparative design involving 120 respondents selected through purposive sampling technique with criteria of at least one period of organizational experience. Data collection instruments use structured Likert scale questionnaires that have been tested for validity and reliability with Cronbach's Alpha values above 0.80. Data analysis uses Structural Equation Modeling and independent sample t-test to compare both structural models. The results show that the decentralization structure has a strong significant effect on talent retention with a path coefficient of 0.628 compared to centralization of 0.312. Comparative analysis identifies substantial differentiation in all dimensions of career development with the decentralization structure consistently outperforming centralization, especially in the aspect of decision-making autonomy. The findings confirm that the distribution of authority in decentralization creates a learning ecosystem that facilitates diversification of leadership experiences and strengthens students' organizational commitment through participatory empowerment mechanisms.

This study aims to implement the Christian Religious Education and Character Education (PAK) teaching module in grade V of SDN 1 Sabaru, Palangka Raya, with a focus on the topic “Jesus Was Crucified, Died, and Risen for Me.” The learning process is designed to support students’ spiritual and character development through an interactive and project-based approach. Teaching methods include group discussions, the use of miniature media as visual learning aids, collaborative activities, and guided reflection on Christian values relevant to students’ daily experiences. The results of classroom observations show that most students are active, enthusiastic, and involved in the learning process, able to understand the theological meaning of the crucifixion, death, and resurrection of Jesus, and apply the values of love, gratitude, and responsibility in everyday life. Obstacles found include a lack of self-confidence in some students and less optimal group dynamics during activities. These findings serve as important evaluation materials for improving the effectiveness of future learning implementation