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The rapid growth of digital marketing has increased the demand for a competent workforce, while many vocational school teachers still face limitations in both theoretical understanding and practical implementation of digital marketing practices. This community service program aimed to strengthen the digital marketing competencies of 15 teachers at SMKN 1 Purwokerto through workshops facilitated by certified lecturers and industry practitioners. The program applied a participatory and collaborative approach consisting of needs analysis, workshop sessions, curriculum realignment, industry-based module development, and continuous mentoring over six months. The findings showed significant improvements in teachers’ competencies, with an 82.6% increase in digital marketing comprehension scores, rising from 45.3 to 82.6. In addition, all participating teachers successfully mastered innovative lesson planning and the implementation of digital marketing tools in classroom learning. The program also produced eight validated industry-based learning modules, exceeding the initial target. Furthermore, 87% of teachers who were interested in professional certification successfully obtained certification. The results indicate that collaboration between academics and industry practitioners effectively enhances vocational teachers’ competencies and provides a replicable model for improving the quality and industry relevance of vocational education in the digital era.

Drug abuse among adolescents has been increasing, including among youth in Papua. According to data from the National Narcotics Agency (BNN) of Papua Province, there was a 1.73% increase in 2023. One of the contributing factors to adolescent involvement in drug abuse is low self-control. This study aimed to provide self-control training to help prevent drug abuse among adolescents independently. The program involved 37 vocational high school students in Jayapura City and employed a one-group pretest–posttest experimental design without a control group. The intervention consisted of self-control training delivered through lectures, discussions, and a structured learning module. The results indicated a significant improvement in self-control before and after the intervention, as evidenced by a significance value of 0.000 (p < 0.05) using a paired sample t-test, with an increase in the mean pre-test score (M = 46; SD = 7) to the mean post-test score (M = 48; SD = 6). These findings suggest that students of SMK Negeri 9 Jayapura experienced an improvement in self-control after participating in the training. Practically, this study demonstrates that self-control training can serve as an effective psychological intervention to address drug abuse and harmful substance use among adolescents. This intervention not only helps reduce addictive behaviors but also has the potential to enhance students’ quality of life and academic achievement.

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.

Pneumonia remains a leading cause of morbidity and mortality worldwide, particularly in resource-limited settings and among elderly populations, where timely diagnosis and continuous monitoring are often constrained by limited clinical infrastructure. This study presents an edge–cloud–integrated framework for early pneumonia risk monitoring, leveraging multimodal wearable sensors and deep learning to support continuous short-duration monitoring. The proposed system is designed to operate in near real time under simulated deployment conditions, continuously acquiring and analyzing physiological signals (respiratory rate, heart rate, SpO₂, and body temperature) alongside event-driven acoustic biomarkers (cough sounds) within a distributed architecture. A lightweight edge module performs local signal preprocessing and anomaly triage, selectively transmitting salient information to a cloud-based multimodal deep learning model for refined risk estimation and interpretability analysis. The framework was evaluated using a multi-source dataset comprising public repositories (MIMIC-III and Coswara) and a clinically supervised wearable study conducted in two Nigerian hospitals, resulting in 718  hours of quality-controlled multimodal monitoring data. In a pooled multi-source evaluation, the system achieved an AUC of 0.95, while in a clinically realistic local-only evaluation, the AUC was 0.86, reflecting a consistent but preliminary diagnostic signal. These results highlight the importance of local data adaptation for real-world applicability and suggest that multimodal AI can provide meaningful early risk indicators under resource constraints. Beyond predictive performance, this work demonstrates the feasibility of integrating multimodal learning, edge–cloud computation, and explainable analytics into a deployment-aware, privacy-preserving monitoring framework for low-resource healthcare environments.

This study presents ReflectAI, a web-based system designed to automate the creation of teaching materials tailored to students' learning styles using behavior data from a Learning Management System (LMS). Student digital activity data—such as logins, material access, forum participation, assignment submission, and quiz results—are extracted and processed using a Hierarchical Clustering algorithm to categorize students into three learning styles: visual, auditory, and kinesthetic. Based on the clustering results, the system automatically generates personalized learning modules using generative AI (ChatGPT API), aligned with each student's learning preferences. Employing a data-driven system development approach, the system was tested with data from 230 students in a mathematics course. The results show diverse learning style distributions and relevant, tailored content generation. ReflectAI is designed to reduce teachers’ administrative workload and enhance personalized and adaptive learning. This system contributes to educational transformation through deep, data-driven technology integration.

The purpose of this study is to develop a mathematics e-module based on the tourism potential of Pasuruan City material of flat-sided solid shapes. This research is motivated by the use of teaching materials by teachers is still manual, not in digital form that integrates local tourism potential. The type of research is R&D (Research and Development) with the ADDIE development model (Analysis, Design, Development, Implementation, and Evaluation). The results of the study show that the mathematics e-module based on the tourism potential of Pasuruan City material of flat-sided solid shapes has gone through a model development process. The validation results show that the percentage of experts with an average of 93.6% is in the very valid category. The application of the mathematics e-module received a positive response with a percentage of 88.5% on a small scale and on a large scale showing 89.2% in the very practical category. The posttest showed a percentage on a small scale of 83%, while on a large scale it reached 80% which is categorized as effective. Conclusion, the development of a mathematics e-module based on the tourism potential of Pasuruan City material of flat-sided solid shapes is declared valid, practical and effective.

The thinking process carried out by teachers occurs in three phases, namely before learning, during learning, and after learning. The results of the analysis of these processes have the potential to produce innovative didactic designs, and these three processes can be formulated as a series of steps to produce new didactic designs. This series of activities is formulated as Didactic Design Research (DDR). Didactic Design Research basically consists of three stages, namely: (1) analysis of the didactic situation before learning which is in the form of a Hypothetical Didactic Design including ADP, 2) metapedidactic analysis, and 3) retrospective analysis, namely an analysis that links the results of the analysis of the hypothetical didactic situation with the results of the metapedidactic analysis. From these three stages, an Empirical Didactic Design will be obtained which is not closed to being continuously refined through the three stages of DDR.

Indonesia's rapidly expanding demand for certified seafarers places mounting pressure on vocational maritime schools to produce engine-room-ready graduates within compressed instructional timeframes. Entry-level students at Sekolah Menengah Kejuruan Pelayaran — Indonesia's vocational maritime high schools — frequently lack foundational machinery literacy, creating dangerous competency gaps before formal sea service begins. Existing learning modules for introductory marine engineering courses rarely apply contextual or project-based approaches tailored to beginners unfamiliar with propulsion systems, auxiliary machinery, or fuel delivery systems. This study develops and validates contextual learning modules specifically designed for introductory marine engineering at the vocational level, employing a design-based research methodology across two SMK Pelayaran cohorts in East Java. Module development proceeded through three iterative phases: expert validation, small-scale trial, and full-scale implementation with pre-test and post-test evaluation. Findings demonstrate that contextually designed modules — anchored in real machinery scenarios, peer collaborative tasks, and technology-supported visual content — produce statistically and educationally significant learning gains in basic marine machinery literacy compared to conventional textbook instruction. The study contributes a validated, replicable module design framework for pre-cadet marine engineering education and recommends its adoption within the national vocational maritime curriculum structure.

This study aims to evaluate the validity, effectiveness, and practicality of developing problem-based teaching materials for improving student learning outcomes. The research focuses on a practical module for the subject of electric motor installation at SMKN 1 Driyorejo, where interviews and needs assessment revealed issues such as teacher-centered learning and limited student resources, primarily relying on notebooks. These factors have hindered optimal learning outcomes. The development of problem-based learning modules was intended to address these issues and improve cognitive, affective, and psychomotor learning outcomes. The research follows a Research & Development (R&D) approach with four steps: 1) Define, 2) Design, 3) Develop, and 4) Disseminate, using a one-shot case study trial design. The study involved 30 students of grade XI TITL 1 at SMKN 1 Driyorejo. Results showed the module’s validity at 3.66, practicality based on student responses at 89.25, and effectiveness with cognitive, psychomotor, and affective outcomes of 84.93, 89.40, and 94.00, respectively. These findings suggest that the problem-based practical module is valid, practical, and effective for improving student learning outcomes across various domains.

The development of the digital era demands that youth possess practical and applicable information technology (IT) skills to enhance competitiveness in the workforce and entrepreneurship. However, the gap between theoretical knowledge and basic technical skills—such as computer assembly, installation, and troubleshooting—remains a real challenge among youth, particularly in community settings such as the Patitech Academy in Pati Regency. The training program was implemented using experiential learning methods and a participatory approach over three days. A total of 25 participants engaged in a series of activities, including socialization, technical training, intensive mentoring, and evaluation. Measurement instruments included written pre- and post-tests, practical performance observation, and satisfaction questionnaires. Data analysis showed a significant improvement in participant competencies. The average post-test score increased by 40.2% compared to the pre-test, with 85% of participants demonstrating mastery in assembling computers, installing operating systems, and performing basic troubleshooting independently. The troubleshooting aspect recorded the highest increase (45%). The success of the program was supported by direct learning methods, an ideal participant-instructor ratio, and a curriculum relevant to industry needs. Hands-on training proved effective in significantly improving youth technical IT competencies. The program not only built hard skills but also increased participants' self-confidence and independence. For sustainability, it is recommended to develop advanced modules, strengthen industry networking, and establish a digital alumni forum. The findings of this study can serve as a model for developing youth empowerment programs based on digital skills in other communities.

This Research and Development (R&D) study aimed to develop a project-based learning (PjBL) hyper-content e-module to support students’ Self-Regulated Learning (SRL) in higher education. Utilizing the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation), the research addressed the need for innovative digital resources in the Learning Resource Center Management Course at Educational Technology Study Program Lambung Mangkurat University. Unlike previous studies that focused on isolated variables, this research integrates development, PjBL implementation, and SRL impact analysis. The hyper-content e-module incorporates multimodal features, including audio, video, infographics, and QR codes, to facilitate independent exploration. Validation by experts yielded high feasibility scores: 89% from material experts, 87% from media experts, and 88% from instructional design experts. Through qualitative content analysis conducted during the analysis and evaluation phase, the results confirmed that the PjBL-integrated e-module effectively improved students' learning independence by providing structured, project-oriented digital pathways. The results confirm that the e-module is a feasible and effective tool for modernizing instructional delivery. This study contributes an innovative framework for digital resource management and provides a foundation for future applied research in enhancing educational quality through self-regulated, technology-enhanced learning environments.

Oral communication is a core competency in 21st-century education; however, instructional materials in elementary schools tend to emphasize reading and writing rather than structured speaking practice. This gap highlights the need for innovative learning resources that explicitly foster students’ oral communication skills. This study aimed to develop and evaluate a Project-Based Learning (PjBL) module designed to enhance the oral communication skills of fourth-grade elementary school students. The research employed a Research and Development (R&D) approach using the ADDIE model, encompassing analysis, design, development, implementation, and evaluation stages. The participants were 30 fourth-grade students, and the developed module was validated by three experts in material, media, and language. Data were collected through validation sheets, teacher and student response questionnaires, and pretest–posttest performance assessments.The expert validation results indicated high feasibility, with scores of 95% (material), 94% (media), and 96% (language), yielding an overall average of 95%. Teacher and student responses demonstrated strong practicality (92% and 88%, respectively; average 90%). The effectiveness test revealed a significant improvement in students’ oral communication performance, with mean scores increasing from 67 (pretest) to 86 (posttest), resulting in an N-Gain of 0.65, categorized as moderately high effectiveness. These findings suggest that the developed PjBL module is feasible, practical, and effective in improving elementary students’ oral communication skills. The study contributes to the field of communication-oriented instructional design by demonstrating how structured project-based modules, supported by simple digital enhancements such as QR-linked instructional videos, can systematically integrate speaking practice into Indonesian language learning at the primary level.

This study aims to develop a teaching module focused on mathematical problem posing and problem solving, specifically within the topic of statistics. The goal is to create a module that is not only valid, practical, and effective but also capable of honing the critical and creative thinking skills of high school students. This study utilizes the Research and Development (R&D) method following the 4D development model. The subjects of this research were 10th-grade high school students. The research findings indicate that the teaching module is considered highly valid, with a score of 4.13. In terms of practicality, it achieved a score of 3.8, suggesting the module is user-friendly, engaging, and supportive of a smooth learning process. The module proved effective in improving students' critical and creative thinking skills, as evidenced by a 42% increase in average test scores after using the module. This research suggests that the developed teaching module is feasible for use as instructional material at the high school level and is capable of strengthening students' critical and creative thinking abilities. This module serves as an alternative instructional resource that encourages active, innovative mathematics learning oriented toward the development of high-order thinking skills (HOTS).

The study titled “Designing a Web-Based E-Module for Empowering Tenth-Grade Students’ Writing Skills in Descriptive Text” aims to develop a digital learning medium to improve students’ descriptive writing abilities. The research applies a Design and Development (D&D) approach using the ADDIE model, consisting of analysis, design, development, implementation, and evaluation, supported by a descriptive quantitative method. The study addresses limitations of traditional, teacher-centered instruction that relies heavily on printed materials by integrating technology into the learning process. The research begins with an analysis of existing teaching practices and learning resources for descriptive text writing. Based on this analysis, a web-based e-module is designed to provide a more interactive and engaging learning experience. The module includes structured materials such as definitions, purposes, text structures, language features, examples, and practice exercises. The e-module is then implemented in a tenth-grade classroom setting, followed by an evaluation of its effectiveness using quantitative data. The results indicate that the web-based e-module effectively improves students’ descriptive writing skills. Interactive features, including multimedia content, self-paced activities, and immediate feedback, enhance students’ motivation and active participation. Teachers and students report positive perceptions regarding the practicality, accessibility, and usefulness of the e-module. Pre-test and post-test results also show a clear improvement in students’ writing performance. Overall, the study concludes that web-based e-modules are a promising instructional medium for enhancing writing skills and supporting student-centered, technology-integrated English language learning.

This research aims to develop a deep learning-based mathematics e-module with the integration of the context of the Suramadu Bridge in scale and comparison materials for grade VII junior high school students. The development model used is the 4D (Define, Design, Develop, Disseminate) model which includes the stage of defining learning needs, designing e-modules, product development, and limited deployment. The research instruments used included validation sheets of media and material experts, observation sheets of teacher and student activities, learning outcome tests, and student response questionnaires. The results of the study showed that the e-modules developed met the valid criteria with a media validity level of 94.29% and material of 95%. In addition, the e-module is considered practical with teacher practicality of 78.67% and students of 86.67%, and effective with a learning effectiveness rate of 83.83%. The students' response to the e-module was also very positive, which showed that the integration of the local context of the Suramadu Bridge and the deep learning approach was able to increase student engagement, learning motivation, and understanding of mathematical concepts in a meaningful way. These findings indicate that local context-based e-modules can be an innovative alternative in mathematics learning that is relevant to students' real lives as well as support the implementation of 21st century learning.

Maternal reproductive health is a critical factor in reducing Maternal Mortality Rate (MMR) and Infant Mortality Rate (IMR). Data from Deli Tua Primary Health Center shows that K4 coverage reached only 78% with prenatal class participation at 40%, still below the national target. Low knowledge among pregnant women about reproductive health is one of the main causes. This Community Service Student Creativity Program (PKM-M) aims to improve reproductive health knowledge through innovative and interactive prenatal class improvement. The implementation method includes developing educational media (modules, posters, videos), conducting classes with participatory learning methods, and evaluation through pre-post tests. The program was conducted over 5 months targeting 30 pregnant women divided into 3 groups, each attending 6 sessions. Materials covered physiological changes during pregnancy, nutrition, reproductive hygiene, danger signs, childbirth preparation, and postpartum care. Results showed a knowledge score increase of 42.5% (from 58.3±12.4 to 83.1±8.7) with significance p<0.001. Participation reached 86.7% with satisfaction level of 4.3/5.0. The program proved effective in improving reproductive health knowledge and can be replicated in other primary health centers with local context adaptation.

This study explores the integration of deep learning based approaches in real time video content analysis for intelligent human computer interaction (HCI) in multimedia systems. Traditional video analysis techniques, such as rule-based methods and offline processing, struggle with real time performance and adaptability to complex video data. In contrast, the deep learning model used in this research, particularly Convolutional Neural Networks (CNNs), provides high accuracy in object detection, feature extraction, and real time processing. The integration of CNNs with interactive visualization modules enables dynamic adjustments to video content based on user interactions, ensuring a seamless and engaging user experience. The system was benchmarked in terms of its processing speed, accuracy, and responsiveness, showing significant improvements over traditional approaches in real time video analysis. Moreover, the study demonstrates that combining deep learning with real time visualization enhances the efficiency of interactive multimedia applications, making it suitable for dynamic environments such as surveillance, security monitoring, and interactive media. Despite the system's strong performance, challenges such as computational demands in high-resolution video processing were identified, highlighting the need for further optimization. Future work will focus on optimizing the system for different hardware platforms, incorporating multimodal inputs, and refining deep learning models to address computational bottlenecks. This research contributes to advancing HCI by providing insights into the integration of deep learning for real time video content analysis, which is pivotal for enhancing the interactivity and adaptability of intelligent multimedia systems.

The need for learning materials that can adapt to students’ abilities and characteristics has made the development of AI-based adaptive learning resources increasingly important in elementary education. However, limited digital literacy and high workloads among teachers hinder optimal implementation. This Community Service Program aimed to enhance the competencies of teachers at Sekolah Alam Ananda Mandiri Slawi through workshops, guided practice, and hands-on development of AI-supported adaptive materials. The method included preparation, conceptual presentation, technology demonstration, guided practice, pre–post evaluation, and follow-up support. The results showed a significant improvement, with teachers’ competence in the “good” category increasing from 22.5% to 82.5%, and all participants (100%) successfully producing at least one adaptive module and one deep-learning-based material component. Furthermore, 92% of participants reported that the program greatly improved their digital literacy and pedagogical understanding. Thus, this activity effectively strengthened teachers’ competencies and provided a strong foundation for the sustainable integration of AI-based adaptive learning materials in elementary classrooms.

The Muhammadiyah Orphanage in Pamekasan faces major challenges in developing life skills and digital education for its children due to limited facilities, teaching staff, and conventional learning methods. To address these issues, an edutainment-based approach and digital pedagogy intervention were implemented to enhance learning quality, motivation, and preparedness for future social and technological challenges. The activities included workshops and training on Digital Pedagogy and Edutainment learning materials, as well as simulations and role-plays using a Game-Based Learning approach, followed by evaluations and participant plan presentations. The program significantly improved the wards’ digital literacy, particularly in personal security (online safety), digital ethics (cyber ethics), gadget usage, and information management, with the average score rising from 2.84 to 4.10 on a 5-point scale, surpassing the target of 75% of participants in the “good” category. Beyond cognitive aspects, the program also boosted motivation, engagement, communication, problem-solving, and independence. Caregiver training was also provided to ensure program sustainability. It is recommended that the orphanage integrate the Game-Based Learning Digital Safety module into its non-formal curriculum, enhance caregiver capacity through advanced training, and improve IT infrastructure.

This study's objective is to describe the implementation of teaching modules as a Christian Religious Education learning strategy at Palangka Raya Christian High School. Teaching modules are used as learning tools in the Merdeka Curriculum to help teachers design structured, contextual, and student-centered learning. Seventeen students in the tenth grade served as research subjects for this study, which employed a descriptive qualitative method. Data collection was carried out thru observation of the learning process, analysis of learning documents, and evaluation results of student learning. The study's findings show that the implementation of teaching modules is able to support the systematic implementation of learning, increase students' active participation in discussions and group activities, and help achieve fairly good assessment results. Nevertheless, some constraints were found in the implementation of learning, such as time limitations and supporting facilities. Overall, the implementation of the teaching module has positive implications for improving the quality of the Christian Religious Education learning process and outcomes, and has the potential to be developed sustainably to shape students' character based on Christian values.