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This qualitative descriptive research explores the principal’s efforts to enhance teacher performance through the implementation of educational supervision at SDI Puudhombo, East Nusa Tenggara. The study aims to understand the strategies, processes, and impacts of educational supervision in improving teaching quality. Purposive sampling was used to select three informants consisting of one school principal and two classroom teachers. Data were gathered through structured interviews, allowing for in-depth exploration of participants’ experiences and perceptions. Analysis was conducted using the Miles and Huberman interactive model, involving data reduction, data display, and conclusion drawing to ensure the credibility and reliability of the findings.The results reveal that educational supervision is systematically implemented twice a year, guided by a well-structured plan that outlines objectives, schedules, and targeted competencies. The principal applies a collaborative supervision approach, using classroom visitation techniques to observe teaching practices in real contexts. Post-observation, constructive feedback sessions are conducted to highlight strengths, identify areas for improvement, and provide practical recommendations for pedagogical development. Teachers demonstrate notable progress in preparing lesson plans, delivering interactive learning activities, and applying effective evaluation methods. However, certain aspects such as the integration of technology in teaching and differentiation strategies still require further enhancement. The findings indicate that educational supervision not only improves technical teaching skills but also fosters teacher professionalism, boosts work motivation, and promotes a culture of continuous improvement within the school. The study underscores the importance of consistent, supportive, and developmental supervision in elevating instructional quality. It concludes that systematic and ongoing educational supervision represents a highly effective strategy for advancing teacher performance in elementary education. This research enriches the body of literature in educational management and provides practical implications for strengthening school leadership, particularly in rural and resource-limited contexts such as East Nusa Tenggara.

This research focuses on the development of an Android-based vegetable detection application by utilizing digital image processing technology and data communication through Application Programming Interface (API). This application is designed to make it easier for users to visually recognize different types of vegetables using the device's camera. The detection process is carried out by sending the image to a cloud server, where the image analysis process is carried out to identify the type of vegetable, displaying its name, characteristics, and benefits. The app's implementation includes an intuitive and user-friendly user interface, with key features such as login, registration, and an interactive dashboard. The dashboard displays user information, location, ambient temperature, vegetable detection history, and direct access to the camera for real-time detection processes. The utilization of cloud computing technology not only keeps application performance lightweight and responsive, but also enables high processing efficiency and data scalability. This allows the application to continue to evolve according to the increasing number of users and incoming data. Image processing is done with machine learning algorithms that are trained to recognize the shape, color, and texture of different types of local vegetables. In addition, this system is also equipped with a periodic data update feature to be able to adjust to the development of new vegetable classifications. The test results show that the app is able to recognize different types of vegetables with a high level of accuracy, as well as provide additional relevant information quickly and accurately. Tests are carried out on a variety of lighting and background conditions to ensure the reliability of the system. The success of the development of this application reflects the integration of modern technology in supporting the digital agriculture sector.

This community service activity aims to strengthen the character development of elementary school students through training in creating digital applications using the Thunkable platform. In the midst of the digital era and the challenges of the Industrial Revolution 4.0, character education is an essential aspect that must be instilled from an early age, alongside cognitive competence. Elementary schools, as the foundation of education, play a strategic role in shaping children’s personalities, including embedding positive character values. This activity was conducted at SD Moria in Sorong City and involved 24 students from grades 5 and 6, selected based on their interest and readiness. The training used a Project-Based Learning approach, where students were actively engaged in creating simple application projects. Throughout the process, students not only learned basic programming skills using Thunkable but also developed key values such as teamwork, responsibility, independence, creativity, and curiosity. Despite facing challenges such as limited devices and internet access, the students demonstrated remarkable enthusiasm. Thunkable proved to be an effective tool for interactive and enjoyable learning. Students were able to directly develop their creative ideas through designing user interfaces and application functions. This provided a meaningful learning experience that motivated students to continue exploring and trying new things. The activity showed that technology-based learning can serve as a strategic means to holistically shape students' character. Overall, this initiative demonstrated that digital application development training can serve as a character education model based on technology that is highly relevant for elementary education. This program is expected to serve as an educational innovation example that encourages the integration of digital literacy and character education in Indonesian elementary schools.

In the digital 4.0 era, language literacy and digitalization are key elements in the process of community empowerment, especially in rural areas that still face the challenge of limited access to information and technology. This study aims to analyze the effectiveness of language literacy strengthening and digitalization programs in supporting community empowerment in Takalar Regency, with an integrative approach that considers local context and cultural wisdom. The method used is a qualitative approach through participatory action research, which allows for the active involvement of the community in the process of identifying problems and finding solutions. The community service activity (PKM) was held in Ujung Baji Village, Sanrobone District, Takalar Regency on July 10, 2025, involving 25 participants with diverse social and educational backgrounds. The literacy expert team from ADPERTISI plays a role in designing and implementing multilingual-based training programs and approaches that are sensitive to local culture. This program has succeeded in significantly increasing people's digital literacy, with 60% of participants able to utilize technology for MSME development and 40% of participants successfully accessing public services independently through digital platforms. The "Techno-Linguistic Integration" model applied has proven to be effective in overcoming language barriers in the digital technology adoption process. The integration of local languages with digital devices creates an inclusive and relevant learning environment for rural communities. The results show that a holistic and contextual approach to strengthening language literacy and digitalization can empower communities in a sustainable manner, strengthen local capacity, and encourage digital transformation at the grassroots level. These findings make an important contribution to the development of technology-based community empowerment strategies and local culture in the digital era.

This study is motivated by the need for an Islamic education model that can integrate religious values and intellectual intelligence amid the challenges of globalization and modernization in education. The pesantren system has excelled in shaping religious character through the instillation of values, role models, and spiritual life, while modern schools excel in developing critical thinking, scientific literacy, and adaptive skills in technology. This study aims to identify the main elements of religious and intellectual education, analyze the opportunities for synthesis between the two, and evaluate the supporting factors and obstacles in their application in the context of Indonesian education. The research method used was library research with a descriptive qualitative approach through content analysis of various scientific sources, journals, books, and educational policy documents from 2020 to 2025. The results of the study show that the synthesis of Islamic boarding schools and modern schools can be realized through the integration of curriculum, learning methods, and institutional culture that balances the spiritual and intellectual dimensions of students. This integrative education model emphasizes the importance of teachers with dual competencies, institutional management support, and adaptive curriculum policies. The implications of this study are theoretical and practical: theoretically, it enriches the concept of holistic Islamic character education, while practically, it provides direction for Islamic educational institutions to develop learning models that produce graduates who are faithful, knowledgeable, and have noble character.

The integration of digital technology in education serves as a strategic solution to enhance learning access, particularly for students in regions with limited educational infrastructure, such as Sorong City, Southwest Papua. This community service program was designed to introduce and provide training to junior high school students in the use of the Thunkable application as a tool for mobile-based learning media. Thunkable is a visual drag-and-drop platform that enables users to design functional mobile applications without the need for prior programming knowledge. The method employed in this activity is based on the Research and Development (R&D) approach using the 4D model, which consists of four stages: Define, Design, Develop, and Disseminate. In the Define stage, the needs and digital readiness of the target group were assessed. The Design and Develop stages involved creating a training module and conducting hands-on workshops where students were guided step-by-step to create simple educational apps. In the final Disseminate stage, the outcomes were evaluated and shared for broader use. The results of this initiative revealed high levels of enthusiasm among the participants. Students were actively engaged and demonstrated the ability to independently design simple learning applications by the end of the training. This indicates that the use of Thunkable not only increases students' digital literacy but also enhances their self-directed learning, creativity, and technological confidence. Overall, this activity illustrates the potential of mobile learning tools to support inclusive and adaptive education in remote communities. By equipping students with practical digital skills, it lays the foundation for long-term educational innovation and empowerment. Therefore, the use of Thunkable can be considered an effective and accessible alternative to foster meaningful learning experiences across diverse educational contexts.

In today's digital era, technology plays a crucial role in supporting innovative, interactive, and engaging learning processes. Education is no longer limited to the use of conventional textbooks and whiteboards, but has been transformed through the integration of various digital media. In this context, digital literacy has become a key competency that students must possess. Digital literacy encompasses not only the ability to access and understand information from various digital sources but also involves critical thinking and collaborative skills, as well as the wise, ethical, and responsible use of technology. Studies show that the appropriate and targeted use of digital media can increase students' interest in reading materials and other learning activities. Interactive and visually appealing digital media can stimulate students' curiosity, enrich the learning experience, and increase their motivation. Furthermore, the use of digital technology also provides opportunities to develop creativity, communication skills, and problem-solving skills. Technology-based learning enables more effective learning differentiation, allowing students to learn at their own pace and learning style. This is highly relevant in the context of 21st-century education, which demands information literacy, technology literacy, and media literacy. As learning facilitators, teachers are required not only to be proficient in using technology but also to design learning that integrates curriculum content with available digital potential. Therefore, optimal use of digital technology can be a strategic solution in creating a generation that is digitally literate, creative, innovative, and able to adapt to increasingly dynamic and complex developments. To achieve this goal, collaboration between schools, the government, and parents is essential in providing adequate access to and training in sustainable educational technology.

Mental health is a crucial aspect of modern life, with stress and anxiety being among the most common and impactful psychological disorders. This research proposes a stress and anxiety monitoring system based on the Internet of Things (IoT), integrating biometric sensors and Deep Neural Networks (DNN) for early detection and in-depth analysis. The system is designed using MAX30102 (heart rate and SpO₂), GSR (Galvanic Skin Response), and DS18B20 (body temperature) sensors, managed by an ESP32 microcontroller and communicating through the MQTT protocol. Physiological data is collected in real-time, formatted in JSON, and transmitted to both Android and web-based applications for visualization. The DNN model is developed using the TensorFlow framework with a layered architecture and ReLU activation functions to classify four mental states: relaxed, calm, anxious, and highly stressed. The training dataset comprises both primary and secondary data, including the WESAD dataset. Model performance is evaluated through k-fold cross-validation, showing high accuracy and strong generalization capabilities. The results indicate that the integration of sensor technology and deep learning significantly improves the effectiveness of stress and anxiety detection compared to traditional methods. This system demonstrates great potential for the development of AI-based wearable devices for autonomous, real-time, and adaptive mental health monitoring. 

Modern education has undergone significant transformation with the integration of technology into learning. Technology plays a crucial role in enhancing motivation, creativity, and learning effectiveness through interactive media, digital applications, and online platforms. This review employs a literature study method to analyze the impact of technology on learning processes. The analysis reveals that technology facilitates access to information, increases student engagement, and enriches teaching strategies. However, challenges such as technological access gaps in remote areas, limited teacher competencies, and potential negative impacts like internet addiction and reduced communication skills persist. Hence, strategic approaches, including teacher training and infrastructure development, are needed. This study highlights the importance of wise implementation of technology to support inclusive and sustainable education.

This study aims to improve students' creativity through the application of project-based learning models (PjBL) with modern puppet media in fine arts subjects at the Senior High School (SMA) level. The background of this study is based on the low creativity of students due to the conventional approach to fine arts learning and the lack of integration of media and technology in learning. The study was conducted as Classroom Action Research (CAR) with a descriptive qualitative approach implemented in class XI of SMA Negeri 46 Jakarta. Data collection techniques were carried out through observation, interviews, documentation, learning outcome tests, and questionnaires. The results of the study showed that the application of project-based learning models with modern puppet media significantly increased teacher and student activity in the learning process, improved learning outcomes, and received positive responses from students. Modern puppets have proven to be an effective medium in stimulating imagination, strengthening local cultural values, and building student character. This study recommends the use of creatively modified traditional media as an educational tool in developing student creativity in the era of the independent curriculum. The results of the study showed that the application of project-based learning models with modern puppet media significantly increase teacher and student activities in the learning process, improve learning outcomes, and receive positive responses from students. Modern puppets have proven to be an effective medium in stimulating imagination, strengthening local cultural values, and building student character. This study recommends the use of creatively modified

This study aims to analyze the ability of elementary school teachers in compiling digital student learning outcome reports, and to identify the factors that influence it. This study was conducted through a library research method by reviewing various scientific articles, books, and empirical reports related to the use of technology in elementary education. The results of the study indicate that teachers' ability in digital reporting is influenced by age, educational background, teaching experience, and involvement in ICT training. The use of reporting applications such as Microsoft Excel, e-Rapor, and Learning Management System (LMS) is still limited, especially in advanced features that actually greatly support reporting efficiency. The main obstacles faced by teachers include lack of ongoing training, limited infrastructure, administrative burden, and mental attitude towards technology. As an improvement strategy, this study recommends tiered technical training, technical guidance at the school level, strengthening learning communities such as KKG and MGMP, and integration of ICT training in the Continuous Professional Development (PKB) program. This research is expected to be the basis for making policies that are more adaptive to the needs of teachers in the digital era.

This study aims to explore and analyze pedagogical innovation practices and learning models at MTs Darul Musthofa, Probolinggo, within the context of contemporary Islamic education. The research focuses on the integration of digital technology, teacher collaboration, and the internalization of pesantren values in the learning process. Employing a qualitative approach with a case study design, data were collected through participatory observation, in-depth interviews, and documentation. The findings indicate that the madrasah successfully developed an innovative learning ecosystem that combines digital media with pesantren traditions, such as the use of Google Classroom, digital lesson plans, student blogs, and interactive Islamic content. These practices enhance students’ digital literacy while maintaining the religious character that underpins the institution. The implications suggest that Islamic educational institutions, even in rural areas, can adopt transformative learning models based on technology and local values synergistically. This research is expected to serve as a reference for the development of policies and Islamic education models that are adaptive to contemporary challenges.  

This research iss motivated by the problem of the lack of digital learning facilities that can be flexibly accessed by students and theachers at SMP Djama'atul Ichwan Surakarta, so that interaction in the theaching and learning proces is limited. The theories applied in this study include the concept of E-Learning as a distance learning method rooted in information technology, web-based system development, and an interactive technology integration approach to increase effectiveness and engagement in learning. The method used is the Waterfall model system development life cycle (SDLC), which includes the stages of needs analysis, system design, implementation with PHP and MySQL using the CodeIgniter framework, and function testing. The research findings show that the designed web-based E-Learning system successfully provides features for managing student and teacher data, distributing teaching materials, scheduling lessons, giving assignments, and interaction through discussion forums. This system is considered capable of supporting a more organized and interactive online education process.The implementation of this systemis expected to a long-term solution to overcome the limitations of traditional learning methods and become a foundation for the development of digital learning platforms in the futur.

This study examines the implementation of the Duolingo application in teaching English skills to eleventh-grade students at SMA Negeri 1 Tasifeto Timur. With the increasing integration of technology in education, this research aims to evaluate the effectiveness of Duolingo as a tool for enhancing language acquisition and engagementt among learners. Through a mixed-methods approach, the study analyzes student performance, engagement levels, and overall satisfaction with the application compared to traditional teaching methods. The results indicate a significant improvement in vocabulary retention, grammatical proficiency, and conversational skills among students utilizing Duolingo. Additionally, qualitative feedback highlights the app's user-friendly interface and gamified learning experience as motivating factors.

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 study aims to examine the opportunities, challenges, and strategies for integrating technology into the learning process. The research is based on the reality that digital technology has significantly transformed the educational landscape. The study employed a literature review and content analysis method using a qualitative approach. Data were collected from various secondary sources such as academic journals, research reports, and relevant literature. The findings indicate that integrating technology into learning offers several opportunities, including improved access to information, support for independent and collaborative learning, and enhanced efficiency in assessment. However, there are notable challenges, including digital inequality, limited infrastructure, and low digital literacy among educators. Therefore, effective strategies such as teacher training, infrastructure reinforcement, the adoption of flexible learning models, and continuous evaluation must be implemented to optimize technology use in education. In conclusion, well-planned and inclusive technology integration has the potential to significantly improve the quality of education.

This study uses a qualitative method to examine the effect of the use of interactive learning media on elementary school students’ learning motivation. The focus of this study is to understand how learning media that involves active interaction can increase students’ interest and enthusiasm in the learning process. Data were collected through observation, in-depth interviews with teachers and students, and documentation of learning activities. The results of the study indicate that interactive learning media can create a more interesting and enjoyable learning atmosphere, thus triggering a significant increase in student learning motivation. In addition, the use of this media also helps students understand the subject matter more easily and effectively. This study provides an overview that the integration of technology in learning can be an effective strategy to improve the quality of education in elementary schools. These findings are expected to be a reference for teachers and curriculum developers in optimizing the use of interactive learning media to improve student motivation and learning achievement.

Background: The rapid advancement of digital technologies in the Industry 4.0 era has transformed industrial mechanical systems into highly interconnected and data driven environments through the integration of sensors, the Internet of Things (IoT), data analytics, and cyber physical systems. This increasing complexity requires more adaptive and accurate monitoring and prediction methods than conventional simulation approaches, which often face limitations in capturing real time dynamic system behavior. Objective: This study aims to develop a predictive performance model for industrial mechanical systems by integrating Digital Twin technology with Physics Informed Machine Learning in order to improve monitoring accuracy and support predictive maintenance strategies. Methods: This research adopts a data driven modeling and simulation approach by developing a digital representation of an industrial mechanical system that is connected to real time sensor data. The prediction model is constructed using a Physics Informed Neural Network (PINN), which integrates operational data with physical principles governing system dynamics. The research process includes the development of a Digital Twin model, integration of sensor data, training of the PINN model, model validation using experimental data, and evaluation of prediction performance using statistical metrics. Results: The results indicate that the integration of Digital Twin technology and PINN significantly improves the prediction accuracy of industrial mechanical system performance compared with conventional simulation methods and purely data driven machine learning models. The proposed model is capable of representing system dynamics more consistently, accurately following sensor data patterns, and providing strong potential for supporting machine condition monitoring and predictive maintenance strategies in modern industrial environments.

This community service program focuses on transforming financial management at Pharmacare Pharmacy Ciputat through the integration of digital accounting and strengthening human resource (HR) management. The background to this activity stems from the problem of partners who still rely on manual recording for financial transactions, inventory management, and report preparation. This condition results in inefficiency, late reporting, potential recording errors, and difficulties in strategic decision-making. In addition, limited HR competency in the use of digital accounting technology and the absence of financial standard operating procedures (SOPs) are major obstacles to improving organizational performance. The main objective of this activity is to implement an integrated digital accounting system capable of producing real-time financial reports, increasing inventory management efficiency, and building transparent financial governance. Simultaneously, employee competency is improved through intensive training and mentoring in the use of accounting software and the preparation of financial SOPs. The involvement of students and faculty in this activity aligns with the spirit of Independent Learning and Independent Campus (MBKM) and supports the achievement of the university's Key Performance Indicators (IKU), particularly in providing off-campus experiences and utilizing work results for the community. Through this program, it is hoped that Pharmacare Ciputat Pharmacy can improve operational efficiency, strengthen business sustainability, and provide more optimal healthcare services. More broadly, this activity contributes to community economic empowerment by strengthening the capacity of small businesses in the healthcare sector.

This study explores the integration of blockchain technology with federated learning (FL) to enhance cross-organizational healthcare analytics while ensuring privacy and data security. Federated learning allows multiple institutions to collaboratively train machine learning models without sharing sensitive patient data. Instead, local data is used to train models, and only model parameters are exchanged. However, privacy concerns and data sharing inefficiencies have hindered broader healthcare collaboration. Blockchain, a decentralized ledger technology, addresses these concerns by ensuring data integrity and transparency, providing an immutable and tamper-proof record of all transactions. This study investigates how the combination of blockchain and federated learning can overcome these challenges, facilitating secure and efficient data sharing between healthcare institutions. The study uses synthetic multi-institution healthcare datasets to simulate real-world collaboration scenarios. The blockchain-enabled federated learning system ensures that no raw patient data is shared, significantly reducing the risk of privacy breaches while still allowing healthcare institutions to collaborate on predictive model development. The results show that while there is a slight decrease in model accuracy compared to centralized methods, the trade-off is outweighed by the privacy and security benefits. Blockchain’s integration ensures that model updates are transparent, enhancing trust between institutions and reducing concerns about data integrity. Moreover, the use of blockchain’s smart contracts automates and enforces compliance, further streamlining collaboration. This research contributes to the field by demonstrating how blockchain-integrated federated learning can create a secure, scalable, and privacy-preserving framework for collaborative healthcare analytics. The findings underscore the potential for this approach to enhance healthcare outcomes and improve decision-making across institutions while ensuring patient data protection.