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This study aims to develop, validate, and test the effectiveness of a scaffolding-based e-module integrated with educational games on the topic of market equilibrium to improve students’ problem-solving skills in economics learning. The research utilized the ADDIE development model, which includes the stages of analysis, design, development, implementation, and evaluation. A total of 72 students from SMA Negeri 1 Kelapa participated in the study, divided into experimental and control groups. Data were collected through validation questionnaires, pre-tests, and post-tests. The results showed that the e-module obtained a very high level of feasibility, with average validation scores of 3.86 from material experts, 3.88 from media experts, 3.95 from teachers, and 3.49 from students, indicating that the product met the quality criteria for instructional media. Furthermore, effectiveness testing revealed that students in the experimental class achieved an N-Gain score of 0.56, categorized as moderate, which was significantly higher than the control class score of 0.30. These results suggest that the scaffolding-based e-module integrated with educational games is both feasible and effective in enhancing students’ problem-solving skills and learning engagement in economics education.

This study aims to determine the feasibility, practicality, and effectiveness of Electronic LKPD Supporting on PjBL on  in improving creative thinking skills and environmental literacy of students at SMAN 1 Tarakan. This type of research is research and development (Research and Development) with the ADDIE model (analyze, design, development, implement, evaluate). The analyze stage includes initial analysis, competency analysis, constructional analysis, and content analysis. The design stage includes compiling an electronic LKPD outline and designing learning content in the LKPD. The development stage includes developing data collection instruments. The data collection instruments in this study were a feasibility sheet for expert lecturers, a practicality sheet for biology teachers, a student readability sheet, and pretest and posttest questions for creative thinking skills and environmental literacy. This instrument was developed based on the review of the supervisor, assessment of expert lecturers, biology teachers, and trials on students. The implement stage includes the application of electronic LKPD that has been developed on class X students of SMAN 1 Tarakan. The experimental design used is the pretest-posttest control group design. The evaluate stage includes the form of evaluation carried out at each stage of ADDIE. The data analysis technique uses the manova test. The results of the study show: (1) The electronic LKPD supporting PjBL that was developed meets the criteria of being very valid for use in learning activities with an average value according to media experts of 3.55, material experts of 3.89 and learning experts of 3.96. (2) Practicality with a very practical category for use based on the results of student and teacher responses. (3) Effectiveness based on the Multivariate Analysis of Variance test with a significance level of 5% shows that there is an influence on students' creative thinking skills and environmental literacy after treatment using electronic LKPD supporting PjBL.

This community service program was carried out with the aim of enhancing teachers’ competencies in utilizing Artificial Intelligence technology, particularly the Generative Pre-trained Transformer (GPT), as a tool for developing digital teaching materials. The background of this activity stems from the limited understanding of teachers in applying AI technology to support 21 st-century learning. The implementation method involved intensive training that included an introduction to GPT concepts, hands-on practice in creating digital modules, designing evaluation questions, and simulating the use of teaching materials in the classroom. The activity was attended by several teachers from SMP Zawiyyah Darussalami, who demonstrated high enthusiasm throughout the sessions. Evaluation through pre-test and post-test results showed a significant improvement in teachers’ understanding and skills in using GPT. Thus, this community service activity successfully provided a positive impact by improving teachers’ competencies and opening opportunities for GPT utilization as an innovation in digital learning within schools.

This training activity aims to strengthen the work competency of vocational students in the hospitality industry, particularly in the restaurant service aspect. The training was held on May 23, 2025, at the Bina Darma Hotel, Palembang, involving students from the Hospitality and Culinary Arts Study Program at the Prasetiya Mandiri Polytechnic, Palembang. The methods used were experiential learning and industry-based training, which emphasize learning through direct experience in a real work environment and reflection on the practices carried out. During the training, students were actively involved in restaurant service activities, from welcoming guests and serving food and drinks, to implementing work ethics and professional communication. Evaluation results showed a significant improvement in the students' service skills, communication skills, and work attitudes. In addition to providing benefits to the students, this activity also provides benefits to the hotel in the form of additional staff support in service and potential long-term collaborations. Overall, this training is in line with the Merdeka Belajar-Kampus Merdeka (MBKM) policy that encourages project-based learning and industry partnerships, and has proven effective in increasing employability skills and strengthening the synergy between the world of vocational education and the world of work.

This training activity aims to strengthen the work competency of vocational students in the hospitality industry, particularly in the restaurant service aspect. The training was held on May 23, 2025, at the Bina Darma Hotel, Palembang, involving students from the Hospitality and Culinary Arts Study Program at the Prasetiya Mandiri Polytechnic, Palembang. The methods used were experiential learning and industry-based training, which emphasize learning through direct experience in a real work environment and reflection on the practices carried out. During the training, students were actively involved in restaurant service activities, from welcoming guests and serving food and drinks, to implementing work ethics and professional communication. Evaluation results showed a significant improvement in the students' service skills, communication skills, and work attitudes. In addition to providing benefits to the students, this activity also provides benefits to the hotel in the form of additional staff support in service and potential long-term collaborations. Overall, this training is in line with the Merdeka Belajar-Kampus Merdeka (MBKM) policy that encourages project-based learning and industry partnerships, and has proven effective in increasing employability skills and strengthening the synergy between the world of vocational education and the world of work.

Making lesson plans (RPPs) is an essential part of implementing the 2013 curriculum because it gives instructors a practical guidance for carrying out the learning process, which is focused on developing students' character and taking a scientific approach.  The purpose of this study is to evaluate the appropriateness and quality of the RPP that instructors created in relation to the 2013 Curriculum.  The RPP was created by teachers in several elementary and high schools using a document study approach and a descriptive qualitative research methodology. According to Permendikbud Number 14 of 2019, the majority of RPPs have incorporated the required elements, including subject identity, core and basic competencies, learning objectives, learning materials, methods, media, learning resources, learning steps, and assessment.  Authentic evaluation, literacy integration, and the application of a thorough scientific approach were nevertheless determined to have shortcomings and were not yet at their best.  These results show that in order to increase the quality of learning planning in accordance with the 2013 Curriculum's tenets, teachers' capability must be strengthened through ongoing training and professional development.

This study aims to explore collaborative management between local governments, educational institutions, and communities in improving the quality of basic education in Sidoarjo Regency. The background of this research stems from the increasing need for an adaptive, participatory, and sustainable education system in the era of decentralization, where intersectoral collaboration is key to realizing quality and equitable education. Sidoarjo Regency, as a region with rapid economic and social growth, faces obstacles in the distribution of quality basic education, particularly related to community participation, policy collaboration, and human resource capacity building at the school level. This study applies a qualitative approach through a case study method, involving resource persons from the Sidoarjo Regency Education Office, principals, teachers, school committees, and the education community. Data collection was conducted through in-depth interviews, participant observation, and analysis of regional education policy documents. Research findings indicate that collaboration between various actors has successfully improved education quality through community-based learning mentoring programs, teacher training, and innovative policies in school management. However, the implementation of collaboration continues to face obstacles such as lack of coordination between agencies, budget constraints, and ineffective joint program evaluation. The study concludes that successful collaborative management requires shared commitment, transparent communication, and ongoing policy support. Research recommendations emphasize the importance of enhancing intersectoral collaboration capacity, local education dialogue forums, and performance-based evaluation systems to maintain the sustainability of basic education quality in Sidoarjo Regency.

Digital transformation has become a necessity for State-Owned Enterprises (BUMN), particularly BRI, to face disruptions in the technological era. This study evaluates the reskilling and upskilling programs at BRI Medan in addressing the need for digital competencies, productivity improvement, and digital banking services. A mixed-method approach was used through in-depth interviews and questionnaires with program participants and HR management at BRI Medan, supported by digital policy documents and performance reports. The analysis focused on digital competencies, participant satisfaction, team performance impact, and regional implementation scale. Initial results indicate that the program emphasizes digital literacy, cybersecurity, the use of digital platforms, basic data analytics, and digital customer service. There was an improvement in skills and adaptability despite challenges such as limited training resources, varying employee profiles, and the need for job-specific customization. Positive impacts on operational efficiency and digital customer satisfaction were identified, with the acceleration of data-driven initiatives. The discussion highlights sustainable design, routine monitoring and evaluation, and the integration of the program into career paths. Policy implications: expansion of the program at Medan branches with a clear budget and strengthening the digital learning ecosystem. This study provides a practical overview of how BUMN, particularly BRI Medan, manages digital transformation through regional competency development.

Millions of people suffer from malaria, one of the most serious parasitic diseases that threatens human life and causes high rates of morbidity and mortality, particularly in tropical and subtropical regions. Traditional diagnostic methods, such as blood smear examination, which can be performed using a microscope, face many challenges due to the inaccuracy of manual analysis and the reliance on individual skills. Therefore, the use of machine learning or deep learning algorithms to automate malaria detection offers promising solutions to improve accuracy, reduce diagnosis time, and enhance scalability. In this paper, a multi-class convolutional neural network (CNN)-based model is designed to classify cells infected with Plasmodium falciparum (P. falciparum) and Plasmodium vivax (P. vivax) and uninfected cells from blood smears, as most severe cases and deaths are caused by P. falciparum and P. vivax. This is achieved by building and training a CNN from scratch, rather than using transfer learning from pre-trained models. The proposed network was trained and tested on the Kaggle dataset, which consists of 27,558 images of infected and uninfected individuals. These images were divided into 13,779 images of uninfected individuals, 6,890 images of individuals with P. falciparum malaria, and 6,889 images of individuals with P. vivax malaria. The images were preprocessed using several operations, including blurring, denoising, and morphological processing. The proposed model achieved the best evaluation accuracy when compared with other deep learning algorithms, with an accuracy rate of 96.5%, a sensitivity rate of 95%, a specificity rate of 97.6%, and an F1-score rate of 96.5%. These results demonstrate the effectiveness of the proposed model as a tool to assist clinicians in malaria diagnosis, reducing reliance on manual analysis.

This study aims to describe students’ mathematical problem-solving abilities on the topic of Systems of Linear Equations in Two Variables (SPLDV) based on Polya’s problem-solving stages in relation to their levels of self-efficacy. The research employed a descriptive qualitative approach with three ninth-grade students from SMP Negeri 5 Gresik in the 2024/2025 academic year, selected through purposive sampling to represent high, medium, and low levels of self-efficacy. Data were collected using a self-efficacy questionnaire, problem-solving tests consisting of two contextual essay items on SPLDV, and semi-structured interviews. Data analysis followed the interactive model of Miles, Huberman, and Saldana, encompassing data reduction, display, and conclusion drawing, referring to Polya’s four stages: understanding the problem, devising a plan, carrying out the plan, and looking back. The results revealed that students with high self-efficacy were able to complete all four stages comprehensively and reflectively, demonstrating systematic and accurate reasoning. Students with medium self-efficacy successfully performed the first three stages but failed to verify their final results, while students with low self-efficacy only reached the stage of understanding the problem and struggled to plan or execute solutions. In conclusion, the level of self-efficacy influences students’ mathematical problem-solving performance, particularly in terms of strategic accuracy, procedural precision, and reflective evaluation.

Graphic design training is an important strategy to enhance student learning competencies, particularly for students participating in the Internship Program (PKL) at Rideatama. This study aims to provide foundational understanding and advanced skills in using the Canva application as an effective learning medium. The training was attended by PKL students from SMKN 1 Kopang with an interactive learning method and hands-on practice. The evaluation results showed significant improvement in creativity, the ability to utilize design features, and students' confidence in developing independent works. The majority of participants stated that the training material was relevant to their needs, and the instructor's delivery was easy to understand, as reflected in the average evaluation score of 86.67%. Although there were some suggestions regarding the training duration being too short, overall, the activity successfully enhanced student learning competencies. This training is expected to serve as a competency development model that is beneficial for both the education and professional sectors, providing skills that can be directly applied in the field of graphic design.

This study aims to describe students’ mathematical critical thinking skills in terms of their learning styles based on the VARK model (Visual, Auditory, Reading/Writing, and Kinesthetic). The research employed a descriptive qualitative approach involving four seventh-grade students of SMP Negeri 9 Gresik, each representing one type of learning style. Data were collected through a learning style questionnaire, a mathematical critical thinking test based on Facione’s indicators, and in-depth interviews to strengthen the analysis. The results revealed that each learning style demonstrates distinct characteristics of critical thinking. Visual learners excelled in interpretation and self-regulation, auditory learners performed well in evaluation and verbal explanation, reading/writing learners showed strength in analysis and written reasoning, while kinesthetic learners were better in concrete activities but weaker in evaluation and inference. Overall, interpretation and analysis indicators were more dominant than evaluation and inference. These findings highlight the importance of implementing differentiated instruction aligned with students’ learning styles to foster optimal and comprehensive development of mathematical critical thinking skills.

Myalgia is a muscle pain condition that can occur in a specific area of the body or spread to several regions. Its main symptoms include pain, soreness, or discomfort in the muscles, whether during movement or at rest. The pain may range from mild to severe and is sometimes accompanied by stiffness, muscle tension, or even cramps that interfere with daily activities. This condition is commonly experienced by the elderly due to aging, loss of muscle mass, improper physical activity, stress, lack of stretching, or an unhealthy lifestyle. This community service activity aimed to provide education and raise awareness about myalgia among 10 elderly participants in the Elderly Community of Kalirejo, Malang, to help them better understand prevention, pain management, and self-care strategies. The method used was service learning (SL) with achievement parameters measured through pre-test and post-test evaluations. The results showed an increase in participants’ knowledge regarding the definition, causes, and rehabilitation of myalgia from 10% to 90%, demonstrating that this program effectively improved the elderly’s understanding and awareness of myalgia.

Digital transformation has opened vast opportunities for the younger generation to engage in technology-based entrepreneurship. However, the low level of literacy regarding Sharia-based business among university students remains a major challenge in building a competitive halal startup ecosystem. This community engagement program aims to equip students with both conceptual understanding and practical skills in developing digital businesses aligned with Sharia principles. The program was implemented on May 10, 2025, involving 60 students from UNISKA, UMB, and Poliban. The method employed an educational-dialogical approach based on experiential learning, encompassing interactive seminars, technical workshops, and reflective evaluations. The training materials included the Sharia Business Model Canvas, halal design thinking, Islamic ethical digital marketing, as well as halal legality and certification. The program’s effectiveness was measured through pretest and posttest instruments, which showed a significant improvement in the average score from 58.3 to 82.7. These findings indicate that the program was effective in enhancing students’ understanding and readiness to become halalpreneurs. Furthermore, the experience fostered a transformation in students’ mindsets toward perceiving business as a means of worship and social contribution. The program is recommended to be replicated on a larger scale with cross-sectoral collaboration and support.

This community service program aimed to enhance students’ pharmaceutical literacy through the introduction of drug classification logos at SMP Muhammadiyah 04 Pangkatrejo. The background of this activity was the low level of drug-use literacy among adolescents, often leading to irrational self-medication. The activity employed a quantitative descriptive design with a one-group pretest–posttest approach. Educational interventions included interactive counseling, PowerPoint presentations, visual media using logo sticks, and pretest–posttest evaluation. Data were analyzed using the Wilcoxon Signed Rank Test. The results showed a significant improvement in students’ knowledge (p = 0.000), with mean scores increasing from 58% to 81% after the intervention. The highest gain was observed in the recognition of logo colors and drug classifications. Satisfaction analysis revealed that 96% of participants expressed satisfaction with the learning process, especially regarding material clarity and the presenters’ readiness to answer questions. The study concludes that participatory educational methods and visual media effectively improve rational drug-use awareness among junior high school students. Future programs are recommended to expand similar activities to other schools and integrate digital media for sustained impact on public health literacy.

English literacy at early childhood is a crucial foundation for language development, cognitive growth, and academic readiness. TK Desa Bagi 01, despite its high academic achievements, faces several challenges in teaching English, including a busy daily schedule, limited learning time, and restricted access to interactive learning media. This community service program was designed to address these challenges by introducing English literacy to young learners in a creative and engaging manner while simultaneously enhancing teachers’ skills in employing interactive and contextually relevant teaching media. The program employed several methods: observation of current teaching practices, planning and development of creative learning media such as flashcards, posters, storybooks, and puppets, implementation of learning activities through play-based approaches, and evaluation of student and teacher outcomes. The results indicate a significant increase in student enthusiasm, active participation, and comprehension of basic English vocabulary. Teachers also demonstrated improved creativity and confidence in using various teaching media to support literacy learning. This program shows that English literacy can be effectively fostered in early childhood using simple, locally relevant, and sustainable media. Furthermore, it highlights the importance of teacher development in enhancing the quality of English learning in rural school contexts. Overall, the initiative provides a practical model for integrating interactive English literacy education in early childhood settings with long-term potential for rural education improvement.

This study examines the application of the Project-Based Learning (PjBL) model in Natural and Social Sciences education to enhance environmental awareness among fifth-grade students at SDIT Wihdatul Ummah in Makassar City. The background of this research stems from the low environmental awareness observed among students, evidenced by behaviors such as littering, lack of concern for energy conservation, and minimal participation in school cleanliness activities. The study aimed to improve students' environmental consciousness by implementing the PjBL model, where students were tasked with creating environmental awareness posters. The research used a Classroom Action Research (CAR) method, which was carried out in two cycles, each consisting of three meetings. The stages of PjBL involved determining essential questions, project planning, scheduling, project implementation, result testing, and evaluation of experiences. Data collection was done through observations, attitude questionnaires, and documentation of student activities. The findings showed that the PjBL model successfully increased students' active participation, creativity in expressing environmental awareness through posters, and their practical actions toward environmental protection. The environmental awareness indicators, such as maintaining cleanliness, managing waste, conserving energy, understanding waste disposal systems, and using cleaning tools, significantly improved from Cycle I to Cycle II. The results indicate that the PjBL model is effective in enhancing environmental awareness while making the learning process more engaging and contextual for elementary school students.

Amyotrophic Lateral Sclerosis (ALS) is a progressive neurodegenerative disorder that presents significant diagnostic challenges due to its heterogeneous clinical manifestations and symptom overlap with other neurological conditions. Early and accurate diagnosis is critical for initiating timely interventions and improving patient outcomes. Traditional diagnostic approaches rely heavily on clinical expertise and manual interpretation of neuroimaging data, such as structural MRI, Diffusion Tensor Imaging (DTI), and functional MRI (fMRI), which are inherently time-consuming and prone to interobserver variability. Recent advances in Artificial Intelligence (AI) and Deep Learning (DL) have demonstrated potential for automating neuroimaging analysis, yet existing models often suffer from limited generalizability across modalities and datasets. To address these limitations, we propose a Transformer-augmented deep learning ensemble framework for automated ALS diagnosis using multi-modal neuroimaging data. The proposed architecture integrates Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Vision Transformers (ViTs) to leverage the complementary strengths of spatial, temporal, and global contextual feature representations. An adaptive weighting-based fusion mechanism dynamically integrates modality-specific outputs, enhancing the robustness and reliability of the final diagnosis. Comprehensive preprocessing steps, including intensity normalization, motion correction, and modality-specific data augmentation, are employed to ensure cross-modality consistency. Evaluation using 5-fold cross-validation on a curated multi-modal ALS neuroimaging dataset demon-strates the superior performance of the proposed model, achieving a mean classification accuracy of 94.5% ± 0.7%, precision of 93.9% ± 0.8%, recall of 92.9% ± 0.9%, F1-score of 93.4% ± 0.7%, spec-ificity of 97.4% ± 0.6%, and AUC-ROC of 0.968 ± 0.004. These results significantly outperform baseline CNN models and highlight the potential of transformer-augmented ensembles in complex neurodiagnostic applications. This framework offers a promising tool for clinicians, supporting early and precise ALS detection and enabling more personalized and effective patient management strategies.

This study aims to enhance legal awareness and leadership skills among high school students in Dau District, Malang Regency through the Adventure Legal Learning program. The background of this activity is the low level of legal understanding, leadership ability, and the limited use of interactive learning methods in the school environment. This community service project applies a participatory approach, actively involving students as key participants. The methods used combine legal education, educational games based on Eduka-Game, and outdoor outbound activities designed to foster values of responsibility, discipline, and leadership. The implementation includes legal counseling, group discussions, case simulations, collaborative games, and reflection sessions, with evaluation conducted through behavioral observation and participant response questionnaires. The results indicate a significant improvement in students’ legal understanding, communication skills, teamwork, empathy, and discipline. Moreover, positive leadership behaviors and stronger legal awareness emerged among participants. This experiential learning approach proved effective in developing responsible, empathetic, and integrity-driven young individuals capable of becoming agents of change in their communities. However, variations in individual leadership and empathy skills remain challenges that need further attention and development in future programs.

Chronic diseases such as chronic kidney disease (CKD), diabetes, and heart disease remain major causes of mortality worldwide, highlighting the need for accurate and interpretable diagnostic models. However, conventional machine learning methods often face challenges of limited generalization, feature redundancy, and class imbalance in medical datasets. This study proposes an integrated classification framework that unifies three complementary feature paradigms: classical tabular attributes, deep latent features extracted through an unsupervised Long Short-Term Memory (LSTM) encoder, and quantum-inspired features derived from a five-qubit circuit implemented in PennyLane. These heterogeneous features are fused using a feature-wise attention mechanism combined with an AdaBoost classifier to dynamically weight feature contributions and enhance decision boundaries. Experiments were conducted on three benchmark medical datasets—CKD, early-stage diabetes, and heart disease—under both balanced and imbalanced configurations using stratified five-fold cross-validation. All preprocessing and feature extraction steps were carefully isolated within each fold to ensure fair evaluation. The proposed hybrid model consistently outperformed conventional and ensemble baselines, achieving peak accuracies of 99.75% (CKD), 96.73% (diabetes), and 91.40% (heart disease) with corresponding ROC AUCs up to 1.00. Ablation analyses confirmed that attention-based fusion substantially improved both accuracy and recall, particularly under imbalanced conditions, while SMOTE contributed minimally once feature-level optimization was applied. Overall, the attention-guided AdaBoost framework provides a robust and interpretable approach for clinical risk prediction, demonstrating that integrating diverse quantum, deep, and classical representations can significantly enhance feature discriminability and model reliability in structured medical data.