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This study aims to design and develop an electrical installation panel by applying engineering safety principles in the water spray booth of a vehicle body painting system. Field observations indicate that electrical panels in painting rooms often do not meet safety standards, which can lead to short circuits and potential fire hazards. The research employed a Research and Development (R&D) method using a simplified Borg and Gall model consisting of nine stages, starting from problem identification to effectiveness testing. Expert validation results obtained a score of 87.5% (highly valid), practicality testing yielded 90% (very practical), and effectiveness tests showed an average current of 4.1 A, with both the MCB and emergency stop functioning optimally. The developed panel product is declared feasible to be used as a practical learning media for automotive electrical systems. Based on the test results, the panel product was declared suitable for use and can be used as a learning medium in automotive electrical practice, helping to increase understanding of the application of safety in electrical installations in the automotive industry.  

The purpose of this classroom action research is to improve students' ability to apply Indonesian language learning knowledge on short stories by implementing the Cooperative Integrated Reading and Composition model in grade IV of SDN 2 Manembo. The number of students in grade IV is 14 people. This research uses a classroom action research (CAR) method based on the inquiry learning method according to Kemmis and McTaggart (Aqib Zainal, 2016:64) and is implemented in two cycles. Each cycle consists of four stages, namely planning, action implementation, observation, and reflection. Qualitative data collection techniques are carried out through observation of learning activities, while quantitative data are collected from the results of LKPD. The data analysis technique uses the formula (Trianto, 2019:41) KB = T/Tt × 100%. Student learning outcomes in cycle I reached an average value of 70% with incomplete criteria, but increased in cycle II to 92% with complete criteria. In addition to improving learning abilities, students also feel more enthusiastic and active in participating in learning by implementing the Cooperative Integrated Reading and Composition model. It can be concluded that the implementation of the Cooperative Integrated Reading and Composition (CIRC) model can improve the reading comprehension skills of fourth-grade elementary school students.

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.

Used cooking oil is a household waste that may pollute the environment and harm human health if disposed of or reused improperly. This community service program aimed to provide a waste management solution while enhancing the community’s economic skills through training on producing aromatherapy candles from used cooking oil. The implementation method included awareness sessions on the hazards of used cooking oil, technical training using a learning by doing approach, and assistance in production and marketing. A total of 30 participants from the Family Welfare Movement (PKK) took part in the program. The results indicated improved knowledge and skills, the production of approximately 50 aromatherapy candles with lavender, rose, and vanilla scents, and the establishment of a community group committed to continuing independent production. The program contributed positively to the environment by reducing around 15 liters of waste oil per month and created new entrepreneurial opportunities for residents. Therefore, this initiative can serve as a sustainable community empowerment model based on circular economy principles.

Character education is the most important aspect in this generation era that is not only smart in knowledge but also has a nice moral and acts in society. However, this practice of character education in schools often fights challenges because of the lack of community participation and the existence of connection with local needs. This article shows how local educational community collaboration is used to strengthen character education in schools around the campus of Universitas Negeri Semarang as part of a community service program. Using Participatory Community Appraisal (PCA), Focus Group Discussion (FGD), student mentoring, and project activities, this program explores real needs while also giving students how to learning experiences. The results show a significant improvement in students’ understanding and personality, especially in responsibility, discipline, and social environment. The success of character education dopends on the harmoy between schools, families, universities, and local communities, as shown in the high participation of teachers and parents. The program also improved teachers’ capacity to combine character values, encouraged parents’ participation in supporting their children at home, and showed the role of universities as academic facilitators. Character education based on local needs can be used as a  model example by other schools with cultural and social adaptation, while also supporting the Sustainable Development Goals, especially SDG 4 on quality education and SDG 17 on partnerships.

This study aims to determine the process and effectiveness of instructional text reading skills in Indonesian Language Lessons through the CIRC method assisted by picture media in slow learner children at the elementary school level. The background of this study is the low reading comprehension ability of slow learner students caused by the lack of appropriate learning methods and media that are suitable for slow learner students. The method used in this study was the Classroom Action Research (CAR) model of Kemmis and Mctaggart, implemented in two cycles. The subjects were six slow-learning fifth-grade students of SD Negeri 002 Karangan. Data were collected through observation, learning test results, and documentation. The results of the learning test for reading instructional text skills showed a significant increase from cycle I to cycle II. In cycle I, 2 out of 6 slow learner students achieved the Minimum Completion Criteria (KKM), with an average score of 60 (classical completion 33.33%). While in cycle II, the number of students who completed the test increased to 5 out of 6 slow learner students with an average score of 80 (classical completion 83.33%). Based on these results, it can be concluded that the application of the CIRC method assisted by image media can successfully improve instructional text reading skills because it meets the score above the KKM and the students' active involvement in the learning process.

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 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.

This research is based on the results of field observations, namely the low learning outcomes of students due to the lack of learning activities involving students because the learning process is still centered on the teacher, so that students are still less active in the learning process. The purpose of this study is to describe the improvement in student learning outcomes in learning about the circumference of flat shapes using the Problem Based Learning model in class V of SDN 15 Anduring, Padang City. This type of research is classroom action research (CAR) using qualitative and quantitative approaches. This research was conducted in two cycles, with research procedures consisting of planning, implementation, observation, and reflection. The research data obtained are related to the results Problem Based Learning model learning. Data collection techniques in the form of observation analysis, tests and non-tests. The subjects of this study were class teachers as observers, researchers as practitioners or teachers, and 24 students of class V SDN 15 Anduring, Padang City. The results of the study showed that: First, the cycle I teaching module obtained an average of 60% (C), increasing in cycle II to 90% (SB). Second, the results of the implementation of learning aspects of teachers in cycle I obtained an average of 75% (C), increasing in cycle II to 90% (SB). Third, the results of the implementation of learning aspects of students in cycle I obtained an average of 70% (C), increasing in cycle II to 90% (SB). Thus, it can be concluded that the Problem Based Learning model can improve student learning outcomes in learning the Perimeter of Flat Shapes in class V SDN 15 Anduring, Padang City.

This research is based on the results of field observations, namely the low learning outcomes of students due to the lack of learning activities involving students because the learning process is still centered on the teacher, so that students are still less active in the learning process. The purpose of this study is to describe the improvement in student learning outcomes in learning about the circumference of flat shapes using the Problem Based Learning model in class V of SDN 15 Anduring, Padang City. This type of research is classroom action research (CAR) using qualitative and quantitative approaches. This research was conducted in two cycles, with research procedures consisting of planning, implementation, observation, and reflection. The research data obtained are related to the results Problem Based Learning model learning. Data collection techniques in the form of observation analysis, tests and non-tests. The subjects of this study were class teachers as observers, researchers as practitioners or teachers, and 24 students of class V SDN 15 Anduring, Padang City. The results of the study showed that: First, the cycle I teaching module obtained an average of 60% (C), increasing in cycle II to 90% (SB). Second, the results of the implementation of learning aspects of teachers in cycle I obtained an average of 75% (C), increasing in cycle II to 90% (SB). Third, the results of the implementation of learning aspects of students in cycle I obtained an average of 70% (C), increasing in cycle II to 90% (SB). Thus, it can be concluded that the Problem Based Learning model can improve student learning outcomes in learning the Perimeter of Flat Shapes in class V SDN 15 Anduring, Padang City.

This study explores the integration of Artificial Intelligence (AI) with thermal optimization in Waste-to-Energy (WtE) systems to enhance both energy recovery and emission control. Introduction: The growing need for sustainable urban waste management has highlighted the importance of optimizing WtE systems. AI technologies, including machine learning and deep learning, have shown potential in improving the efficiency of WtE processes, especially in reducing emissions and enhancing energy recovery. Literature Review: Previous research indicates that AI has been successfully applied to various WtE technologies such as pyrolysis, gasification, and incineration, yet the integration of AI specifically for thermal optimization remains underexplored. Most studies focus on predictive models for emission reduction rather than real time thermal optimization. Materials and Method: The study proposes the development of an AI-driven framework that integrates real time data collection from IoT sensors, predictive modeling, and real time control algorithms. The system optimizes key parameters such as combustion temperature and fuel flow to enhance energy recovery and minimize emissions. The method includes data collection from operational WtE plants, followed by model development using machine learning algorithms. Results and Discussion: Initial simulations and pilot testing showed significant improvements in energy efficiency and emission reduction. AI-driven systems outperformed conventional WtE systems by optimizing operational parameters in real time. The study identifies gaps in AI integration for thermal optimization and suggests future research directions, including the integration of AI with smart grids and carbon credit systems for more sustainable WtE operations.

Writing skills play an important role in students ' language development, especially at the elementary school level. However, many students have difficulty expressing thoughts and ideas in writing. This study aims to analyze the application of Cooperative Integrated Reading and Composition (CIRC) learning model in improving students ' writing skills and creativity. The Cooperative Integrated Reading and Composition (CIRC) learning Model was chosen because it can integrate writing activities and develop students ' creativity. This study uses a descriptive qualitative approach with data collection techniques through observation, interviews, and documentation studies. The results showed that the application of Cooperative Integrated Reading and Composition (CIRC) model can improve students ' writing skills, seen from their ability to construct sentences and convey ideas more structured and effective. In addition, student creativity also increased, where students were able to organize ideas, as well as pour them in writing with the right word selection.  The CIRC Model also encourages cooperation, critical thinking and student creativity. This study identifies several challenges in its application, so it is advisable to implement the CIRC model with good time management and effective classroom management strategies to achieve optimal results. This study concludes that the Cooperative Integrated Reading and Composition (CIRC) learning model is an effective approach to improve students ' writing skills and creativity in elementary school.

This research was motivated by the low narrative essay writing skills of class IV students at Madrasah Ibtidaiyah Al-Mukhlisin, Jambi City. The aim of this research is to improve the process and skills of writing students' narrative essays using the cooperative integrated reading and composition model in the Madrasah Ibtidaiyah Al-Mukhlisin class in Jambi City. This research is a classroom action research consisting of two cycles. The subjects of this research were students from the Madrasah Ibtidaiyah Al-Mukhlisin class in Jambi City. The research results showed that the average teacher observation score in cycle I was 79 and in cycle II it increased to 89.55 in the "good" category. The results of student observations in cycle I were 73.9 and increased in cycle II to 88.5 in the "good" category. Classical completion of narrative writing skill scores in the pre- cycle obtained an average score of 61.1 in the "Not Good" category. In cycle I, an average score of 79.1 was obtained in the "Pretty Good" category and this increased to 85.7 in the "Good" category in cycle II. It was concluded that the use of the cooperative integrated reading and composition (CIRC) learning model can improve the process and skills of writing narrative essays.

Analysis of the preliminary research phase as the basis for developing a biology practicum guide based on a scientific approach. The purpose of this study was to describe the initial research stage data obtained as a basis for developing teaching and learning materials based on research results that will be made in the future. The development model applied in this study is the Plomp model, which has reached the initial data investigation stage. Instruments for collecting data include interviews, observations, and questionnaires. The results of the student needs questionnaire revealed that students agreed that it was necessary to develop a practicum guide based on a scientific approach with a percentage of 94.73%. The teaching materials that have been used in learning are less effective so that students are less able to understand the subject matter. So it can be concluded that it is necessary to develop teaching materials for practicum guides based on a scientific approach on the material of the circulatory system and respiratory system in class XI SMAN 15 Pekanbaru.

This study presents a Quantum Machine Learning (QML) architecture for perfectly classifying the Iris flower dataset. The research addresses improving classification accuracy using quantum models in machine-learning tasks. The objective is to demonstrate the effectiveness of QML approaches, specifically the Variational Quantum Circuit (VQC), Quantum Neural Network (QNN), and Quantum Support Vector Machine (QSVM), in achieving high performance on the Iris dataset. The proposed methods result in perfect classification, with all models attaining accuracy, precision, recall, and an F1-score of 1.00. The main finding is that the QML architecture successfully achieves flawless classification, contributing significantly to the field. These results underscore the potential of QML in solving complex classification problems and highlight its promise for future applications across various domains. The study concludes that QML techniques can offer transformative solutions in machine learning tasks, particularly those leveraging VQC, QNN, and QSVM.