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Afrianto, A., Parjito, P., Rahma, E. A., & ... (2023). Rintisan desa cerdas: Penguatan literasi digital bagi Karang Taruna Neba. Prosiding Seminar.... https://e-journal.unmas.ac.id/index.php/senadiba/article/view/8417 Akbarinasasi, A., & Panduwinata, L. F. (2023). Pengaruh pengetahuan kewirausahaan, social skill, dan peluang usaha terhadap keberhasilan usaha angkringan. Nomicpedia: Journal of .... https://journal.inspirasi.or.id/nomicpedia/article/view/232 Anisti, A., Sidara, S., Veranus, V., & Imran, M. S. (2024). Tantangan literasi digital generasi Z: Kajian systematic literature review. Media Bahasa, Sastra, dan Budaya Bahana, 30(2), 152–161. https://doi.org/10.33751/wahana.v30i2.11870 Aribawa, D. (2016). Pengaruh literasi keuangan terhadap kinerja dan keberlangsungan UMKM di Jawa Tengah. Jurnal Siasat Bisnis, 20(1), 1–13. https://doi.org/10.20885/jsb.vol20.iss1.art1 Erstiawan, M. (2021a). Good corporate governance penyelenggara pendidikan dalam perspektif agency theory. Majalah Ekonomi, 26(1), 40–51. https://doi.org/10.36456/majeko.vol26.no1.a3952 Erstiawan, M. (2021b). Kepatuhan emiten dalam taksonomi extensible business reporting (XBRL). CAPITAL: Jurnal Ekonomi dan Manajemen, 5(1), 71–85. https://doi.org/10.25273/capital.v5i1.10308 Erstiawan, M. S. (2024). Menggali potensi diri bisnis santripreneur berbasis bimbingan teknis. ADIMA Jurnal Awatara Pengabdian Kepada Masyarakat, 2(4), 11–18. https://doi.org/10.61434/adima.v2i4.238 Erstiawan, M. S., & Y. R. (2022). Implikasi corporate social responsibility dalam perspektif akuntansi pada subsektor telekomunikasi. Jurnal Sosial Sains, 2(2), 385–396. https://doi.org/10.36418/sosains.v2i2.343 Erstiawan, M. S., et al. (2021). Efektivitas strategi pemasaran dan manajemen keuangan pada UMKM roti. Dikemas, 5(1), 57–61. https://doi.org/10.32486/jd.v5i1.574 Hodsay, Z. (2021). Pengaruh manajemen keuangan keluarga dan hasil belajar kewirausahaan pada era pandemi Covid-19 terhadap motivasi berwirausaha. Jurnal Neraca: Jurnal Pendidikan dan Ilmu Ekonomi Akuntansi, 5(1), 91–103. https://doi.org/10.31851/neraca.v5i1.5890 Kartini, T. M., Suhendra, S., Tan, E., & ... (2024). Pelatihan pengelolaan SDM di era digital pada Karang Taruna dan usaha kecil di Provinsi Jawa Barat. SABAJAYA Jurnal .... https://journal.sabajayapublisher.com/index.php/jpkm/article/view/346 Mendari, A. S., & F. S. (2019). Hubungan tingkat literasi dan perencanaan keuangan. Jurnal Moduk, 31(2), 227–240. Naufal, H. A. (2021). Literasi digital. Perspektif, 1(2), 195–202. https://doi.org/10.53947/perspekt.v1i2.32 Nurcahyawati, V., Wulandari, S. H. E., & Sutomo, E. (2020). Penerapan urun daya berbasis internet untuk pemenuhan bahan baku pada usaha kecil menengah (UKM) batik Sidoarjo dan UKM Mekar Sari Surabaya. Jurnal Pengabdian Kepada Masyarakat, 26(2), 84. https://doi.org/10.24114/jpkm.v26i2.16829 Oetama, S. (2022). Orientasi kewirausahaan terhadap keunggulan dalam bersaing. Google Books. https://books.google.com/books?hl=en&lr=&id=L1h-EAAAQBAJ Poerna Wardhanie, A., Naufal, A. Z., & Eko Wulandari, S. H. (2021). Perancangan strategi digital marketing dengan metode RACE pada layanan online food delivery berdasarkan perilaku pelanggan generasi Z. Journal of Technology and Informatics (JoTI), 3(1), 1–11. https://doi.org/10.37802/joti.v3i1.187 Rahmawati, E., Wardhanie, A. P., Wulandari, S. H. E., & Effendi, P. M. (2023). Pelatihan perancangan prototype aplikasi pemasaran untuk mendukung keikutsertaan Gen Z pada festival inovasi dan kewirausahaan siswa Indonesia (FIKSI). Jurnal Abdi Insani, 10(2), 1002–1011. https://doi.org/10.29303/abdiinsani.v10i2.939 Rinaldi, M., & Ramadhani, M. A. (2024). Peningkatan literasi perpajakan dalam kalangan UMKM: Langkah menuju kemandirian finansial. Eastasouth Journal of Effective Community Services, 2(03), 158–169. https://doi.org/10.58812/ejecs.v2i03.240 Sagirani, T., Effendi, P. M., Erstiawan, M. S., Eko Wulandari, S. H., & Rahmawati, E. (2025). AI untuk siswa: Pendekatan experimental learning dalam pengenalan artificial intelligence di tingkat SMA. Jurnal Pengabdian Masyarakat (ABDIRA), 5(3), 1014–1025. https://doi.org/10.31004/abdira.v5i3.846 Sagirani, T., Nugroho, L. E., Santosa, P. I., & Kumara, A. (2015). User experience model in the interaction between children with special educational needs and learning media. 2015 2nd International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE), 72–75. https://doi.org/10.1109/ICITACEE.2015.7437773 Septiani, R. N., & W. E. (2020). Pengaruh literasi keuangan dan inklusi keuangan terhadap kinerja UMKM di Sidoarjo (Doctoral dissertation, Udayana University). https://doi.org/10.24843/EJMUNUD.2020.v09.i08.p16 Slamet, S., & Sagirani, T. (2024). Peningkatan kesiapan kerja siswa SMK melalui pengembangan soft skills di SMKN 1 Sambeng Lamongan. Tekmulogi: Jurnal Pengabdian Masyarakat, 4(2), 79–90. Soebijono, T., & E. M. (2020). Peranan revolusi industri 4.0 terhadap mutu pendidikan sekolah menengah kejuruan jurusan akuntansi. Jurnal Bisnis Perspektif, 12(2), 115–122. https://doi.org/10.37477/bip.v12i2.97 Wardhanie, A. P., Kartikasari, P., & Wulandari, S. H. E. (2019). Analisis penggunaan media internet pada usaha mikro kecil menengah (UMKM) Jawa Timur untuk menembus pasar global dengan metode O2O. Jurnal Bisnis Terapan, 3(02), 179–188. https://doi.org/10.24123/jbt.v3i02.2513 Wulandari, S., & Rahmah, M. (2020). A survey on crowdsourcing awareness in Indonesia micro small medium enterprises. IOP Conference Series: Materials Science and Engineering, 769, 012016. https://doi.org/10.1088/1757-899X/769/1/012016

This study proposes the integration of a Hybrid Recommendation method (combining Content-Based and Collaborative Filtering) with Random Forest Regression (RFR) to improve the accuracy of stay duration prediction in web-based boarding house booking systems. The main issue in online boarding booking systems is the inaccuracy of predicting user stay duration, affecting room allocation efficiency and customer satisfaction. The dataset was sourced from the hotel sector due to its attribute similarities and data validity. The research process includes data preprocessing (missing value imputation, normalization, and one-hot encoding), temporal and contextual feature engineering, hybrid recommendation system construction with CBF and CF score weighting, and RFR model training optimized through Grid Search and 10-fold cross-validation. Evaluation was conducted using MAE, RMSE, R² metrics, as well as recommendation metrics such as Precision@5, Recall@5, and Mean Reciprocal Rank (MRR). Results show that this integrated model achieved an R² of 0.7239 and an MAE of 1.0537 days, as well as a Precision@5 of 0.9636. This integration proves effective in improving prediction accuracy and recommendation relevance and contributes to the development of AI-based intelligent systems in the accommodation domain.

This research is a Classroom Action Research (CAR) conducted in two cycles. The subjects were 24 students of class XII TM 2 of the Mechanical Engineering Expertise Program at Semen Padang Vocational School in the odd semester of the 2025/2026 academic year. Data collection was carried out through learning activity observation sheets, practical assessment sheets, and multiple-choice tests to measure students' cognitive learning outcomes. The implementation of Creative Products and Entrepreneurship learning at Semen Padang Vocational School was previously teacher-centered. Students tended to be passive listeners during the learning process, which led to low participation, minimal interaction, and a lack of understanding of the material. As a result, most students were unable to achieve the Minimum Completion Standards (SKM). Based on this, the Jigsaw Cooperative learning model is considered suitable for application in Creative Products and Entrepreneurship learning, because it is able to create a student-centered learning atmosphere and encourage active involvement and cooperation between students. The results of the study prove that the application of the Jigsaw Cooperative learning model is effective in improving student learning outcomes. This is based on the average student learning outcomes in cycle 1 of 75.2, where 17 students were declared complete. In cycle II, the average student learning outcomes were 85.2 with 21 students declared complete. The significant improvement in cycle II indicates that the Jigsaw Cooperative Learning model is not only effective in improving cognitive learning outcomes but also able to improve the quality of interactions between students in the learning process. Students become more active in discussions, disseminating information, and are responsible for understanding the material they are learning and sharing with their groups.

This study aims to design and develop an interactive learning medium based on Augmented Reality (AR) for the subject of Basic Electronics Engineering, particularly on the topic of active and passive electronic components, in order to enhance the understanding and learning motivation of tenth-grade students at SMK Negeri 5 Padang. The development method used is the Multimedia Development Life Cycle (MDLC), which includes the stages of conceptualization, design, material collection, production, testing, and distribution. The final product of this research is an Android application utilizing AR technology to display 3D objects of electronic components, equipped with learning materials, educational videos, interactive evaluations, and a scan marker feature. The results of the development and implementation of this learning medium show that the Android application serves as an interactive medium that supports the learning process through Augmented Reality technology. The application received a score of 93% from the Media Expert, categorized as “Valid,” and 89.3% from the Material Expert, also categorized as “Valid.” Furthermore, the practicality test conducted with students showed an overall score of 93.15%, categorized as “Very Practical.” Based on the design results and validation by the Media Expert and Material Expert, it can be concluded that this interactive learning medium based on Augmented Reality technology is highly feasible for use. Furthermore, the implementation of this application in the learning process shows an increase in student participation and enthusiasm during the learning activities. Students appear more interested in exploring the material through 3D visualizations provided by AR technology, compared to conventional methods. The interactivity offered by the application, such as evaluation features and educational videos, also helps students understand concepts in a deeper and more enjoyable way. This shows that the integration of AR technology in learning media not only improves the effectiveness of the quality of the material.

This study aims to analyze the factors that influence students' learning motivation in the Lathe Engineering subject in class XI of the Department of Machining Engineering at SMK Negeri 1 Padang. Several variables studied include learning interest, ideals, friendship environment, and family environment, each of which acts as an independent variable, while learning motivation functions as a dependent variable. The method used in this study is quantitative with a correlational approach, where the research sample consisted of 51 students selected using a saturated sampling technique, namely sampling that covers the entire population in the class. The instrument used in this study was a questionnaire with a Likert scale that has been tested for validity and reliability to ensure that the measuring instrument used is able to extract accurate and consistent data. The data obtained were then analyzed using multiple linear regression techniques with the help of SPSS version 26 to determine the effect of each variable on student learning motivation. The results of the study indicate that partially, learning interest and friendship environment have a significant influence on student learning motivation. Students who have a high interest in the Lathe Engineering subject tend to have better learning motivation, and positive relationships with their friends also increase their enthusiasm for learning. In contrast, the variables of ideals and family environment did not show a significant influence on students' learning motivation in the context of this study. Although ideals and family support are often considered important factors in education, the results of this study indicate that external factors such as friendships are more dominant in influencing students' learning motivation. Simultaneously, all four variables significantly influenced students' learning motivation, with the friendship environment being the most dominant factor.

This study aims to develop interactive learning media for logic gate material in Industrial Electronics Engineering subjects at SMK Negeri 5 Batam by utilizing Adobe Flash CS6 integrated with CircuitVerse. This media is designed to provide a more interesting, interactive, and applicable learning experience, so it is expected to improve students' understanding of the concept of logic gates which is a basic material in the field of electronics. The study uses a Research and Development (R&D) approach with a 4D development model that includes the Define, Design, Develop, and Disseminate stages. Research data were collected through validation by material experts and media experts, as well as practicality tests involving students. Data collection instruments were in the form of validation sheets and student response questionnaires. The validation results showed that the developed learning media obtained a score of 88.20% from material experts and 93.88% from media experts, both of which are in the "very valid" category. The practicality test involving grade XI students obtained a score of 92.80%, indicating that the media is "very practical" to use in the learning process. This interactive media combines elements of text, images, animation, and digital circuit simulations using CircuitVerse, so students can learn logic gate concepts visually and directly practice them virtually. This integration not only makes it easier for students to understand the theory but also trains problem-solving and critical thinking skills. The findings of this study indicate that interactive learning media based on Adobe Flash CS6 and CircuitVerse has great potential to increase learning motivation, student engagement, and conceptual understanding of logic gate material. This media is also relevant to support the implementation of the Independent Curriculum, which emphasizes project-based learning, independent learning, and complete competency mastery.  

This study focuses on the development of an interactive web-based learning platform for Proportional-Integral-Derivative (PID) control systems, aimed at addressing the conceptual challenges faced by electrical engineering students when learning PID through conventional teaching methods. Despite its foundational role in control theory, PID remains difficult to grasp without practical visualization and hands-on experimentation. To bridge this gap, the research introduces a practical and accessible platform that enhances conceptual understanding through real-time simulations and physical interaction. The proposed system integrates key hardware components including an ESP-32 microcontroller, DC motor, rotary encoder, BTS 7960 motor driver, and I2C LCD. The platform’s web interface is built using HTML, Tailwind CSS, and JavaScript, enabling intuitive user interaction. Motor response data is captured via the ESP-32 and transmitted to the web interface using the WebSocket protocol, allowing users to instantly visualize system behavior as PID parameters (Kp, Ki, Kd) are adjusted. This dynamic feedback mechanism enables students to observe changes in system characteristics such as rise time, overshoot, and settling time in real time. To evaluate the platform’s feasibility, practicality, and educational effectiveness, beta testing was conducted among electrical engineering students using Likert-scale questionnaires. The results demonstrated that users were able to successfully interpret the impact of PID tuning on system performance. The average evaluation score reached 75.13%, indicating strong agreement regarding the platform’s educational value and its effectiveness in enhancing learning outcomes. In conclusion, the study affirms that the developed web-based platform offers a feasible, engaging, and pedagogically effective alternative to traditional learning approaches. By combining interactive simulations with physical experimentation, the platform significantly improves students’ understanding of PID control systems.

This research investigates the underlying factors that shape the interest of students from the 2024 cohort in enrolling in the Bachelor of Mechanical Engineering Education Program at the Faculty of Engineering, Universitas Negeri Padang. Utilizing a descriptive quantitative methodology, data were gathered through a structured, closed-ended questionnaire administered to the entire cohort, which consisted of 89 students. The analysis reveals that the overall level of student interest is categorized as high, with a notable percentage of 55%. Several key variables were identified as influential: (1) self-awareness factors encompassing physical capabilities, intellectual aptitude, intrinsic motivation, and innate talent were rated in the very high category at 56%; (2) familial influences such as the provision of information, emotional support, and parenting styles also ranked very high at 46%; (3) school-related elements including the accessibility of school information systems, teacher roles, peer dynamics, and hands on learning experiences were classified in the high category with 44%; and (4) social media engagement specifically the frequency of use and the quality of educational content was likewise in the high category, scoring 48%. These findings underscore the multifaceted nature of student decision-making, with self-awareness emerging as the most prominent determinant in shaping academic program choices. The study highlights the need for educational institutions to consider these interrelated dimensions when developing recruitment strategies and academic guidance frameworks.

This study aims to analyze student acceptance of the use of mobile-based learning media and augmented reality (AR) in the Electrical Circuit course at the Electrical Engineering Study Program at Padang State University. Using a mixed method approach, this research combines quantitative techniques through the Technology Acceptance Model (TAM) and qualitative approaches to explore student experiences through interviews. The results show that students' perceptions of ease of use (PEOU) have a significant effect on perceived usefulness (PU), which then affects attitudes towards use (ATU) and acceptance (ACC) of AR learning media. However, the relationship between PEOU and ATU, as well as PU and ATU, is not significant, indicating that affective aspects still need attention to increase positive attitudes towards the technology. Based on these findings, it is recommended that learning media developers pay attention to the user experience dimension and involve social factors and support in learning so that technology acceptance can be optimized. In conclusion, the successful integration of AR technology in education depends not only on convenience and usability, but also on emotional and social experiences that can support a more thorough learning process.

The need for adaptive and personalized learning systems is increasing along with the advancement of information technology. Informatics students face challenges in choosing materials that suit their abilities and interests. This research aims to design and evaluate an Generative AI-based independent learning recommendation system in Indonesian that can help students navigate the learning process more efficiently. The system utilizes a generative language model to provide relevant learning material suggestions based on students' individual learning history and preferences. This study uses a software engineering approach and experimental evaluation. The dataset is collected from various reference sources of learning and user interaction with the system. The Generative AI model is trained to generate contextual and Indonesian-language content recommendations. The results of the evaluation show that this system is able to increase the effectiveness and satisfaction of students' independent learning. These findings confirm the great potential of generative AI technology in supporting higher education, particularly in supporting personalized learning in local languages.

This study aims to analyze the impact of recruiting Vocational High School (SMK) Mechanical Engineering graduates on the quality of education at the Naval Academy (AAL) Technical Corps. Using a mixed methods approach with quasi-experimental design, the research involved 160 Naval Academy cadets consisting of 80 cadets with SMK Mechanical Engineering background and 80 cadets with Senior High School Science background as control. Data were collected over 4 semesters through academic achievement instruments, technical competency tests, academic adaptation scales, and in-depth interviews. Results showed that although SMK cadets experienced initial academic adaptation challenges with lower GPA in the first semester (3.12 vs 3.28), this gap narrowed over time and even showed positive trends in the final semester (3.41 vs 3.38). SMK cadets demonstrated significant superiority in technical subjects such as Ship Propulsion Systems (85.2 vs 78.9) and Auxiliary Machinery (83.7 vs 76.4), particularly in practical components. In terms of social adaptation, the SMK group consistently showed higher scores throughout the research period. Learning style analysis revealed dominance of kinesthetic (47%) and visual (31%) preferences in the SMK group, different from the SHS group which preferred read/write (38%) and auditory (29%). These findings indicate that recruiting SMK Mechanical Engineering graduates has a positive impact on the quality of AAL education, particularly in applied technical competencies and social adaptation abilities. Educational background diversity can become a strategic strength if managed through appropriate bridging programs and diversification of learning methods that accommodate the diversity of cadet learning styles.

This study aims to improve students' learning outcomes in Social Sciences (IPS) through the implementation of the Science, Technology, Engineering, and Mathematics (STEM) learning model. The background of this study is based on the low learning outcomes of IPS in class VII of SMP Negeri 3 Jakarta, as well as the lack of variations in innovative learning models. The study used the Classroom Action Research (CAR) method of the Kemmis and McTaggart model which was carried out in two cycles. Each cycle includes the stages of planning, implementation, observation, and reflection. The subjects of the study were 36 class VII-B students. Data collection techniques used learning outcome tests, observations, interviews, and documentation. The results of the study showed a significant increase in student learning outcomes. In the first cycle, the percentage of students who achieved the Minimum Completion Criteria (KKM) was 77.77%, increasing to 91.6% in the second cycle. In addition, student activity in learning activities also increased. These results prove that the Science, Technology, Engineering, and Mathematics (STEM) learning model is able to integrate social studies concepts with real situations, thus facilitating students' understanding and improving the quality of learning.    

This study aims to determine the contribution of industrial work practice (Prakerin) experience to the learning motivation of 12th-grade students in the Mechanical Engineering Department at SMKS Dhuafa Padang. A quantitative correlational research approach was employed, using a questionnaire distributed to 30 students who had participated in the Prakerin program. The results indicate a strong and significant relationship between Prakerin experience and learning motivation, with a Pearson correlation coefficient of 0.763 (Sig. < 0.001). Simple linear regression analysis shows that industrial practice experience contributes 58.3% to students' learning motivation. These findings suggest that relevant and meaningful implementation of Prakerin can encourage students to become more motivated in their academic activities at school.

Education is an important aspect in improving the quality of human resources, especially in higher education in the field of engineering where a deep understanding of technical material is needed. The Electrical Circuit course is often a challenge because there are many abstract concepts that are difficult for students to understand. This study aims to analyze the effect of using PhET Simulation as a technology-based learning media to improve the learning outcomes of Electrical Engineering students in the Electrical Circuit course, as well as evaluating its ability to increase student involvement and become an alternative to limited laboratory experiments. The study used a One-Group Pretest-Posttest design with a sample of 30 students. Data was collected through pretest and posttest, then analyzed using N-Gain test. The results showed that there was a significant increase in the average student score from 59.07 in the pretest to 81.87 in the posttest, with an N-Gain score of 0.55 which was included in the moderate category. This finding proves that PhET Simulation is effective in improving the understanding of Electrical Circuit concepts, as well as increasing student engagement through interactive learning. This simulation also provides flexibility in conducting virtual experiments, so it can be a solution to the limitations of physical laboratories.

The development of digital technology has changed the landscape of educational media, especially in the field of engineering, where abstract concepts often pose a challenge. In electrical engineering education, students often have difficulty understanding concepts such as current flow and circuit behavior due to limited class time and a lack of visualization tools. This study aims to evaluate the effectiveness of Augmented Reality (AR)-based learning media in enhancing conceptual understanding, learning outcomes, and student engagement in the Electrical Circuits course. A quasi-experimental design with pre-test and post-test control groups was applied, involving two groups: one group used AR-based media, while the control group used traditional instruction. Both groups underwent pre-tests and post-tests with 30 multiple-choice questions. Data were analyzed using descriptive statistics and N-Gain scores. Results showed that the experimental group experienced a significant improvement, with the average post-test score increasing from 62 to 81 and an N-Gain score of 0.48, while the control group only improved from 61 to 71 with an N-Gain score of 0.25. Statistical tests confirmed significant differences between the two groups. These findings indicate that AR is effective in enhancing understanding of complex concepts and can be integrated into technical education curricula to meet modern learning demands.

Learners are continually faced with choosing appropriate courses or making career choices due to increased educational opportunities. The emergence of machine learning-based course and career recommender systems has the potential to address this issue, offering personalized course recommendations tailored to individual learning pathways, preferences, and learning history. The optimization and feature engineering techniques and practical deployment environments have not been collectively examined in the previous research, despite the significant advancements in this area of research. Furthermore, previous research has rarely synthesized how these technical components help students choose appropriate courses and careers. This systematic review was carried out to investigate the current state of machine learning-based course and career recommender systems, focusing on key elements, such as primary data sources, feature engineering methods, algorithms, optimization techniques, evaluation metrics, and the environments where the existing course recommendation models are deployed. The PRISMA method for conducting a systematic review was used to choose studies that met the requirements for inclusion and exclusion. The study findings show significant reliance on interpretable and traditional machine learning algorithms, such as K-Nearest Neighbor and Random Forest, to develop recommender models. Feature engineering remains basic, as most studies rely on normalization, while optimization processes are often underreported. Also, evaluation metrics varied widely, impeding comparability, while most of the recommender models are deployed in an e-learning environment, leaving the traditional learning environment underrepresented. Furthermore, the study findings identified issues including data sparsity and diversity, data security and privacy, and changes in learner preferences that may have an impact on the performance of recommender systems while recommending further studies to make use of standardized optimization methods, and automated domain-informed feature engineering frameworks, benchmark and annotated datasets in developing models the gives priority to learners’ success and educational relevance.

SMK TPI Gedangan Sidoarjo is one of the private high schools in Sidoarjo that offers 3 expertise programs, namely Mechanical Engineering, Automotive Light Vehicle Engineering, and Software Engineering (RPL). These programs are designed to equip students with practical skills that are in accordance with the needs of industry and the world of work. With the vision of the school is to produce middle-class workers who are ready to enter society, industry, and become independent entrepreneurs, have a global perspective, have noble character, and can apply themselves. On the other hand, many vocational schools have not provided systematic guidance or practical curriculum on the use of various types of social media for business promotion purposes. In order to improve the quality of students, 28 students were sent to learn about how to promote MSME products through social media. This training aims to explore how vocational schools can effectively utilize social media to promote their MSME products by recognizing the differences in characteristics and functions of each platform. With this approach, patterns of social media usage that are right on target can be found as well as training or mentoring strategies that are in accordance with student needs. The results of this training can be a reference for developing relevant and applicable digital marketing learning modules in the vocational high school environment. The results of participant feedback at the end of the training showed that 91% of students could understand the material provided and the trainer could provide effective UMKM product promotion solutions according to the current needs of students.

Background: Structural Health Monitoring plays a critical role in ensuring the safety, reliability, and sustainability of high performance composite structures used in aerospace, civil infrastructure, and mechanical systems. Conventional externally mounted sensors often face challenges related to environmental interference, maintenance complexity, and long term stability. Objective: This study aims to develop and validate an integrated smart composite monitoring system with embedded sensing capabilities that enhances damage detection accuracy and operational durability under varying mechanical stress conditions. Method: Smart composite specimens were fabricated by embedding fiber optic and piezoelectric sensors within fiber reinforced polymer laminates, followed by tensile, fatigue, and vibration testing. Signal processing techniques including time frequency analysis were applied to extract damage sensitive features, which were then classified using machine learning algorithms to distinguish healthy and damaged structural states. Results: The experimental findings demonstrate high damage detection capability, stable sensor performance under cyclic loading, improved reliability compared to conventional monitoring approaches, and consistent monitoring accuracy throughout the fatigue life of the specimens. The integration of embedded sensing and data driven analytics significantly enhances structural response interpretation and supports predictive maintenance strategies.

The low ability of elementary school students to understand and connect interdisciplinary concepts highlights the need for an integrative and contextual learning approach. The STEAM (Science, Technology, Engineering, Arts, Mathematics) learning model offers a relevant alternative by fostering critical, creative, and collaborative competencies. This article aims to conceptually examine the implementation of STEAM in thematic learning within Indonesian elementary schools and to identify its potential and challenges. The analysis is based on a review of literature from various relevant sources discussing STEAM in primary education. The findings indicate that the STEAM model contributes to the enhancement of students' cognitive, affective, and psychomotor competencies, while supporting the development of 21st-century skills. This article recommends teacher training and the development of contextual learning tools to ensure the effective implementation of STEAM at the elementary level.

Learning activities can run smoothly if accompanied by the availability of appropriate learning media. Learning in the Machining Technology course requires direct practical activities, for example in understanding the use of lathes. The limitations of students' mastery of knowledge when facing the teaching and learning process that tends to be lecture-oriented, causing students' lack of understanding during practice. Learning media that is less interesting causes failure in delivering material, thereby reducing students' interest in learning. This study aims to examine the effectiveness of Real Time Augmented Reality (RT-AR) Lathe media in the learning process of the Machining Technology course in the D-III Study Program, Department of Mechanical Engineering, Faculty of Engineering, Padang State University (FT-UNP). RT-AR media is designed to present interactive visualizations that describe the lathe work process in real time, so that it is expected to improve students' conceptual understanding and practical skills. The study used a quasi-experimental method with a pre-test and post-test design in two groups: the experimental group using RT-AR media and the control group using conventional learning methods. The results showed that there was a significant increase in the learning outcomes of students in the experimental group compared to the control group. In addition, RT-AR media is also able to increase students' motivation and active participation during the learning process. These findings indicate that RT-AR Lathe media is an effective and relevant learning innovation to be applied in vocational engineering education, especially in mastering lathing material.