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Background: Depression is the most common psychological disorder that occurs in the last years of an individual's life. Elderly depression has several impacts, including shortening life expectancy by worsening physical decline in the elderly, inhibiting the fulfillment of elderly developmental tasks, reducing the quality of life of the elderly, draining the emotions and finances of the affected person and their family and social support system. The physiotherapy program given to the elderly who experience depression includes listening to classical English music and murottal. Purpose: For this reason, this community service activity aims to socialize the provision of classical English music therapy and murottal to reduce the level of depression in the elderly. : This community service activity uses the lecture practice and question and answer method. The lecture method is carried out by delivering material about depression and English music therapy. After that, practice listening to classical English music and Murottal, while the question and answer method is carried out by asking participants about the material that has been presented. Results: The results of this community service activity showed that participants were able to understand and apply the material that had been presented. Conclusion: Based on the community service activities that have been carried out, many of the participants were enthusiastic about receiving the entire series of events starting from the presentation of the material, practicing listening to classical English music to question and answer interactions.

This research focuses on the development and evaluation of an Adaptive Edge-AI framework designed to optimize real-time data processing and decision-making in resource-constrained environments, specifically within smart city infrastructures. The primary problem addressed is the challenge of minimizing latency, reducing energy consumption, and ensuring the reliability of Cyber-Physical Systems (CPS) when using Internet of Things (IoT) devices. The objective of the study is to assess the effectiveness of this framework in real-world smart city applications such as traffic monitoring, environmental sensing, and smart utilities management. The proposed method integrates lightweight AI models, edge computing, and adaptive resource management techniques, including Federated Learning and Neural Architecture Search, to ensure optimal performance while addressing hardware constraints. The main findings reveal that the framework significantly improves real-time inference speed, reduces energy consumption of IoT devices, and enhances CPS reliability by minimizing communication delays and ensuring continuous system operation despite network disruptions. The application of this framework to smart transportation and urban utilities further demonstrates its potential to optimize city management processes. The study concludes that the Adaptive Edge-AI framework offers a promising solution for smart cities, enhancing operational efficiency, sustainability, and resilience. It is recommended for integration into smart city infrastructures to enable better resource management and decision-making in real-time applications.

This study explores the development and application of a digital twin-driven cybersecurity risk assessment model for Industrial Internet of Things (IIoT) networks. The increasing complexity and interconnectivity of IIoT systems have expanded the attack surface, making them vulnerable to a wide range of cyber threats. The digital twin model addresses this challenge by creating real-time virtual replicas of physical systems, which can simulate and predict network vulnerabilities and attack vectors. The model uses machine learning algorithms and real-time data to simulate cyberattacks, including Distributed Denial of Service (DDoS), malware, and data breaches. By providing continuous monitoring and dynamic risk predictions, the digital twin model enhances the resilience of IIoT networks compared to traditional cybersecurity frameworks. The findings indicate that the model's ability to predict potential cyber threats and simulate various attack scenarios provides a more proactive and accurate approach to cybersecurity in IIoT environments. Additionally, the study highlights key mitigation strategies, including adaptive security mechanisms, real-time anomaly detection, and the use of lightweight encryption for resource-constrained devices. Despite its effectiveness, challenges such as computational requirements, integration with legacy systems, and scalability were identified. This research underscores the strategic importance of digital twin models in securing IIoT systems and advancing Manufacturing 4.0 ecosystems. Future research should focus on enhancing model accuracy, expanding its application to diverse industrial sectors, and improving interoperability with legacy systems to further strengthen the security posture of IIoT networks.

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 was carried out to enhance the physical, emotional, and spiritual resilience of students (santri) at Pesantren Assyifa through integrated self-defense training. Recognizing the increasing psychological and social challenges faced by adolescents in pesantren, this program combined martial arts education with Islamic character development. Over the course of eight weeks, 36 santri participated in bi-weekly training sessions that included basic self-defense techniques, leadership drills, and reflective discussions on prophetic values such as patience (ṣabr), courage, and self-control. The program successfully improved student discipline, confidence, and peer cooperation, as measured through pre- and post-assessments and observational rubrics. Participants reported greater self-awareness and felt more empowered to respond to threats both physically and ethically. The pesantren administration expressed strong interest in continuing the initiative as part of the formal extracurricular curriculum. This activity not only strengthened the personal capabilities of santri but also aligned with the broader goal of fostering holistic Islamic education that nurtures the body, mind, and soul. The combination of physical practice and moral reflection proved to be a sustainable and transformative approach to santri empowerment.

This article discusses the implementation of movement and dance arts learning in Smart and Cheerful PAUD as an effort to optimize early childhood development. Movement and dance arts activities have been proven to have a positive impact on gross and fine motor skills, creativity, social-emotional, and children's self-expression. This study used observation and ability test methods on children's participation in art activities. The results showed that most children were able to follow simple dance movements, recognize musical rhythms, dare to perform, and demonstrate good body coordination. Movement and dance arts learning not only supports physical and emotional growth, but also strengthens children's love for local culture. Therefore, movement and dance arts need to be made an integral part of the PAUD curriculum in a structured and enjoyable way, so that they can have a holistic impact on children's development.

Adolescence is a critical phase in individual development, especially for adolescent girls who begin to experience menstruation as a sign of reproductive maturity. However, not all adolescents experience menstruation normally; some experience disorders such as menstrual pain, irregular cycles, and prolonged bleeding. This study aims to explore in depth the subjective experiences of adolescent girls with menstrual disorders at SMP Negeri 2 Bunta, Banggai Regency, focusing on the nature of the disorders experienced, their interpretation of these experiences, coping strategies, and the social support received. This study employs a qualitative approach with a phenomenological design. The primary informants were female adolescents in grades VII–IX who had experienced menstrual disorders in the past six months, selected purposively until data saturation was achieved. Data collection techniques included in-depth interviews, non-participatory observation, and document analysis. Data were analyzed using the Miles and Huberman model through data reduction, data presentation, and drawing conclusions. The results of the study indicate that menstrual disorders are viewed as normal by most informants, despite causing physical discomfort and psychological anxiety. Adolescents' responses to these disorders vary, ranging from the use of warm compresses and medication to no intervention at all. The primary sources of information are mothers and social media, while the roles of teachers and schools remain limited. Social support is most commonly provided by family, although some adolescents also feel supported by peers and teachers. This study emphasizes the importance of systematic reproductive health education, school involvement in supporting adolescents, and the creation of safe and stigma-free discussion spaces regarding menstruation-related issues.

Traditional games are an integral part of children's lives, providing not only pleasure but also serving as an educational tool that supports physical development, particularly in gross motor skills. This study aims to determine the effect of the traditional Kalari game on the development of gross motor skills in early childhood. The research method used is quantitative descriptive with observation techniques through checklist instruments in 9 children aged 4-5 years at Kiddi Care Kindergarten, Gorontalo City. The results showed that most children showed good gross motor development, where 10 children had met all motor indicators, such as the ability to jump, run zigzag, and maintain balance, 6 children met some of the indicators, and 2 children still showed limitations. Activities in the Kalari game provide opportunities for children to actively move, coordinate, and work together in a team, so that they can stimulate gross motor skills in a fun way. In addition, this game also instills character values ​​such as discipline, sportsmanship, and togetherness. Thus, the traditional Kalari game is very effective and worthy of being used as a learning medium to develop gross motor skills while strengthening children's character from an early age.

Traditional games play an important role in early childhood development, particularly in stimulating creativity and social skills. One such game from Gorontalo, Indonesia is Awuta, which is now rarely played but holds great potential in supporting children's growth. Awuta enhances fine and gross motor skills, encourages strategic thinking, and fosters teamwork. The game also incorporates cultural and philosophical values about the cycle of life and death. This study uses a qualitative literature approach to explore how Awuta supports cognitive, social, and physical development while strengthening cultural identity. Reviving traditional games like Awuta is crucial for balanced learning and character education in the digital era.

This study aims to examine the role of the traditional rope jumping game in stimulating the development of gross motor skills and social skills of early childhood at Kiddi Care Kindergarten. The method used is descriptive qualitative, with data collection techniques through direct observation and interviews with accompanying teachers. The results of the observation indicate that the rope jumping game can enhance children's motor coordination, balance, agility, and muscle strength, which are crucial components of gross motor development. In addition, this game also strengthens children's abilities in concentration, discipline, and cooperation. Children appear enthusiastic, can follow the rules, and show positive social interactions during the activity. Interviews with teachers support these findings, where teachers state that the rope jumping game is an effective means of training physical skills while shaping children's character. Based on these results, it can be concluded that the traditional rope jumping game is a worthy addition to early childhood learning as a fun and holistic educational medium.

Early childhood development is a crucial phase in human life, marked by rapid changes in physical, cognitive, social, and emotional domains. This study aims to explore in depth the growth process and unique characteristics of early childhood using a qualitative approach through literature review methods. The findings reveal that young children possess high curiosity, vivid imagination, and strong dependence on adults in learning and social behavior formation. Physical development progresses rapidly, while cognitive and socio-emotional development are significantly influenced by environmental stimulation, parenting style, and social interaction. Understanding these characteristics and developmental needs allows educators and parents to implement more effective approaches in supporting children's growth. This study emphasizes the importance of creating a safe, supportive, and responsive environment as a foundation for future educational success and character building.

Stunting is a growth disorder in children characterized by height-for-age below the standard due to prolonged nutritional deficiency. This condition affects physical development, learning ability, and metabolic health, and it tends to be persistent. In Indonesia, the prevalence of stunting remains high. This study was conducted to identify the causes of stunting during the first 1,000 days of life. The method used was a literature review with a narrative review approach. The results show that risk factors for stunting include prenatal conditions such as low birth weight, maternal nutritional status during pregnancy, and maternal height. In addition, low maternal education, limited access to healthcare services, lack of exclusive breastfeeding, infections, and poor dietary patterns also contribute. Strategies proven effective according to the literature include early nutrition education, nutritional supplementation, and technology-based growth monitoring. The most consistently identified determinant is low birth weight (LBW).

This study aims to analyze the nutritional status and dietary needs of students aged 7–10 years at SDN 3 Sesetan. Using a quantitative descriptive survey method, the research involved total sampling of all 86 second-grade students (40 boys and 46 girls). Data were collected using a stadiometer and weighing scale. Descriptive percentage analysis was used to interpret the data. The results showed that among the participants, 3 students (4%) were classified as severely obese, 2 students (2%) as mildly obese, 32 students (37%) had ideal nutritional status, and 49 students (57%) were underweight. The average daily calorie requirement was 1,935.50 kcal. Macronutrient analysis indicated an average daily requirement of 1,195.01 kcal from carbohydrates, 298.75 kcal from protein, and 497.92 kcal from fat. These findings reveal that a significant number of students have not yet reached optimal nutritional status. The variability in nutritional needs suggests the importance of attention and collaboration from both physical education (PJOK) teachers and parents to support students' health and development.  

This study aims to examine the relationship between healthy food consumption and character development in students. The research is based on the premise that healthy eating plays a vital role not only in physical well-being but also in shaping students' behavior and moral values from an early age. A quantitative descriptive approach was used, employing a theoretical and conceptual analysis design. The findings indicate a strong relationship between healthy eating habits and the development of positive character traits such as discipline, responsibility, and honesty. Based on a regression analysis simulation, healthy food consumption was found to contribute approximately 46% to character formation. These results highlight the importance of integrating healthy eating patterns into character education programs both in schools and at home. The study recommends collaboration among schools, parents, and government bodies to promote healthy eating as a foundation for building strong and positive character in young generations.

This community service activity was motivated by the need to create Physical Education, Sports, and Health (PJOK) learning that is more engaging, interactive, and suited to the characteristics of elementary school students in the digital era. The service team identified a significant potential to integrate print-based learning media with interactive websites as an innovative solution to address monotonous and less visual learning processes. This activity was carried out at SD Tahfidz Al-Jamiel, involving second-grade students as the primary subjects, while teachers acted as facilitators and observers of the learning process. The service method adopted the ABCD (Asset-Based Community Development) approach by utilizing local assets such as students' enthusiasm as digital natives, adequate school facilities, and the school's openness to educational innovation. The activity was implemented through several stages: initial observation, program planning, implementation of learning using interactive media, and a simple evaluation of the activity’s impact.The results of this activity indicated that integrating printed books and interactive websites could enhance students' interest and participation in PJOK learning. Students appeared more active, enthusiastic, and found it easier to understand locomotor movement material being taught. Teachers also responded positively to the media used. This activity demonstrates that digital-based learning transformation can be conducted in a simple and practical manner within the elementary school context and holds great potential for replication in other schools.

The ability to match thoughts with movement is a key component of kinesthetic intelligence, which is examined in this study in early childhood. This ability supports the development of motor, physical, emotional, and learning skills through firsthand experience. The research methodology employed by the researchers is a literature review that gathers information from a variety of sources, including journals, books, and related research.

At preschool age, the development of kinesthetic intelligence is strongly influenced by stimulation provided through varied physical activities and games. One approach that can be used by teachers is through games, especially obstacle games or handicap games. These games are designed to provide structured physical challenges, so that children are encouraged to develop gross motor skills, balance, agility, and overall body coordination. This study aims to determine the improvement of grossmotor skills through simple obstacle games. This research is a Classroom Action Research (PTK). The subjects in this study were children in the age range of 5-6 Years at ABA Bustanul 10 Medan Kindergarten ,namely 10 people .Datacollection was done by observation and non-test. This observation is used to determine the ability ofstudents in gross motor skills, the data is analyzed by the percentage formula. The result soft here searc hobtain edwere BB 30%, MB 40%,BSH 20%,BSB 10%.IncycleI and in cycle II BB 0%, MB 20%, BSH 20%, BSB 60%. Gross motor skills in developing kinesthetic intelligence of children aged 5-6 years through simple obstacle games in cycle I only reached completeness with a value of 10% (Less), and in cycle II it increased classically with a value of 60% (Very good). Thus the improvement of gross motor skills of children aged 5-6 years through simple obstacle games can improve gross motor skills in developing kinesthetic intelligence of children aged 5-6 years.

This study aims to determine the extent to which the school environment influences students’ interests and motivation in learning at SDN Maos Lor 04. The main research subjects were grade V students, and teachers as supporting informants. The school environment, which includes the physical condition of the building, social interaction, and availability of learning facilities, plays an important role in creating a positive and enjoyable lerning atmosphere, This study uses a descriptive qualitative method, with data collection techniques through observation, interviews, and documentation. The results of the study indicate that a clean, orderly, safe school atmosphere, as well as a harmonious relationship between teachers and students can encourage enthusiasm for learning and increase student involvement in the learning process. Conversely, a less supportive school environment tends to reduce student motivation and active participation. Students’ interests and desires in learning are also influenced by other factors such as family involvement, emotional support, and implementation of appropriate learning strategies. Therefore, synergy between schools, teachers, and parents is needed to create a conductive and meaningful learning environment for student development.

This study aims to analyze the management of the learning environment at RA Husna Al Fauzan Binjai in creating a conducive learning space for early childhood development. The method used is descriptive qualitative with techniques including observation, interviews, and documentation. The results indicate that the management of the learning environment at RA Husna Al Fauzan adheres to early childhood education (ECE) pedagogical principles, encompassing physical space arrangement, the availability of educational play equipment, and the establishment of a supportive social climate. However, several challenges were identified, such as limited space and resources, which need to be addressed through parent collaboration and enhanced teacher capacity. This study recommends the need for a more systematic and sustainable management strategy to create a holistic learning environment.  

Plyometric training is a physical training method aimed at improving explosive strength and movement speed, which are crucial in martial arts such as silat. This mini-research aims to analyze the effect of plyometric training on enhancing the quality of kicks in silat, particularly in terms of power, speed, and accuracy. The method used is qualitative, involving a plyometric training program over several weeks applied to individuals learning silat, with performance measurements of kicks taken before and after the intervention. The results show that plyometric training significantly improves lower limb explosive power, coordination, and kicking effectiveness. These findings suggest that plyometrics is an effective training approach and can be integrated into physical development programs, particularly to enhance kicking ability.