This research aims to explore the effectiveness of a joint healthy exercise habit program in increasing children's awareness of the importance of exercise for health. With the increasing prevalence of health problems related to a sedentary lifestyle among children, fun and educational interventions have become increasingly important. The program involves a series of exercise sessions designed to encourage active participation in children, accompanied by education about the benefits of exercise for physical and mental health. This study aims to evaluate the influence of the habit of healthy exercise together on children's awareness at SDN Tumaritis regarding the importance of exercise for health. The method used in this research is a direct approach in the field, where exercise sessions are held every Saturday for eight weeks. During the activities, observations were made to assess the children's level of participation and changes in their behavior regarding physical activity. The results of the study showed a significant increase in children's awareness about the benefits of sport after participating in the gymnastics program. In addition, there was a clear improvement in children's physical fitness as measured through physical fitness tests. These findings indicate that healthy exercise habits can be an effective strategy in increasing children's awareness and interest in physical activity.

This article discusses the implementation of negotiation strategies and lobbying techniques as participatory communication approaches in the context of community service in Parigi Village, Cikande Sub-district, Serang City. Through intensive community organizing, this activity aims to strengthen the capacity of residents in facing the challenges of cross-interest communication and collaboration, especially in terms of policy advocacy and local resource management. The service subjects consisted of local community groups who had been less involved in the decision-making process at the village level. The service process is carried out through several stages, starting from joint problem mapping, training in negotiation and lobbying techniques, to the preparation of collaborative action plans that involve active participation of residents. The findings from this activity show that interest-based negotiation and ethical lobbying can strengthen the community's bargaining position towards external actors such as the government and local stakeholders. The dynamics of the activity also resulted in initial social changes, such as the formation of an internal advocacy group, increased participation in public forums, and the emergence of collective awareness of the importance of strategic communication.

In the era of Industry 4.0, optimizing fluid flow systems in smart factories is essential to improve energy efficiency and operational stability. Traditional Computational Fluid Dynamics (CFD) simulations provide accurate fluid flow analysis but require extensive computational resources and long processing times, making real-time applications challenging. To address this limitation, this study aims to develop an AI-based predictive model for CFD simulations, utilizing Convolutional Neural Networks (CNN) and Extreme Gradient Boosting (XGBoost) to accelerate the estimation of fluid flow characteristics in industrial environments. The research methodology involves generating CFD simulation datasets, preprocessing data, and training AI models to predict key fluid parameters such as pressure, velocity, and temperature. The evaluation results show that CNN achieves a Mean Squared Error (MSE) of 0.0025 and a Root Mean Squared Error (RMSE) of 0.05, outperforming XGBoost, which records an MSE of 0.0030 and an RMSE of 0.055. Moreover, CNN predicts fluid dynamics in just 15.2 seconds, while XGBoost achieves results in 10.5 seconds, compared to the 1200.5 seconds required by traditional CFD simulations. These findings highlight the potential of AI in reducing computation time by over 98%, making real-time fluid flow analysis feasible in industrial settings. This study contributes to the advancement of AI-integrated CFD modeling, demonstrating that AI can significantly enhance the efficiency of fluid dynamics analysis without compromising accuracy. Future research should focus on expanding AI models to handle more complex flow conditions and integrating AI with smart factory design tools for real-time optimization

Sudoku is a digital game that is included in the type of logic-based puzzle game where the goal is to fill in the puzzle with random numbers. Therefore, in this research it is proposed to use Artificial Intelligence which contains the Depth First Search Algorithm to track the number of possible solutions that lead to only one so that it becomes efficient. This game has different levels of difficulty such as easy, medium and difficult. The time and complexity of execution will vary depending on the difficulty so it is proposed to use Android Studio software. The experimental results prove that there is an increase in playing the Sudoku game quickly and accurately by applying the Depth First Search Algorithm method. This is proven by the ability to complete this game using the Depth First Search Algorithm using the Android Studio programming language. The average time at the easy level is 11:04 minutes, at the normal level is 10:52 minutes, at the hard level is 25:46 minutes, and at the extreme level is 38 minutes.

This article discusses "Contemporary Islamic Education Problems and Development Strategies," highlighting the various challenges faced by the Islamic education system in Indonesia. Issues such as value crisis, unclear educational goals, and curriculum inconsistency are the main focus of the analysis. The author emphasizes the importance of returning to the sources of Islamic teachings, such as the Qur'an and Hadith, to ensure that education is not only academically intelligent, but also rooted in moral and ethical values. In an effort to overcome these problems, educational development strategies that include curriculum innovation, improving teacher quality, and instilling spiritual values ??are suggested. With a holistic approach, this article aims to provide guidance in a more relevant and effective Islamic education reform, which is able to produce a superior generation with noble character and is ready to face global challenges.

The study aims to determine the species of fish caught by bottom longline and the composition of the number of fish species. The implementation time was carried out on December 11, 2024 - January 11, 2025 at Brondong Port, Lamongan Regency. The method used in this study is the method eksperimental fishing by conducting direct observation of the catch of bottom longline fishing gear. then conducting direct observation of the number of tails and weight of the catch and conducting direct interviews with bottom longline fishermen who operate their longline fishing gear in the waters of Brondong. The results of the bottom longline catch during the research at PPN Brondong which was landed in December 2024, there were 4 types of species caught by the bottom longline fishing gear, namely the swordtail shark ( rhizoprionodon acutus), Manyung Fish (arius thalassinus), Flower Ray (Taeniura lymma) and Remang (congresox talabonoides).

This activity aims to increase awareness of children, parents, and teachers about the importance of choosing healthy snacks for the health and development of children at Wadi Fatimah Kindergarten.. The counseling program involved 73 children and utilized interactive methods such as PowerPoint presentations, educational animated videos, food replicas, group discussions, and practical simulations. The results showed a significant increase in children's understanding of healthy snacks, from 35% to 82%, as well as increased parental and teacher involvement in guiding snack choices. The methods used proved effective in creating an engaging and meaningful learning experience. This study recommends periodic evaluations and further collaboration to sustain long-term impacts.

The implementation of Environmental, Social, and Governance (ESG) regulations in Indonesia is still in its developmental stage and faces several challenges in enforcement and compliance. Compared to developed countries, Indonesia's ESG framework lacks strong incentives and adequate regulatory oversight, leading to inconsistencies in corporate adherence. This study aims to analyze the effectiveness of ESG regulations in Indonesia from a legal perspective and evaluate their impact on corporate compliance. A normative juridical approach was used, supplemented by case studies of companies that have implemented ESG principles. Data were collected through document analysis of regulatory frameworks, sustainability reports, and interviews with key stakeholders. The findings indicate that while the number of companies adopting ESG practices has increased significantly from 45 in 2018 to 675 in 2023, only 38% fully comply with ESG standards. Moreover, statistical analysis reveals a strong correlation (r = 0.78, p < 0.05) between regulatory strictness and corporate adherence. Weak enforcement mechanisms and the voluntary nature of ESG reporting remain major obstacles to effective implementation. The study also highlights that firms integrating ESG principles tend to attract more investment and demonstrate better financial stability. The findings contribute to the ongoing discourse on ESG regulation by emphasizing the need for policy reforms, including stricter enforcement, standardized reporting mechanisms, and economic incentives to enhance compliance. This research provides a foundation for future comparative studies on ESG regulation and suggests integrating technology-based monitoring tools such as blockchain and artificial intelligence to improve corporate accountability and sustainability practices.

The increasing adoption of artificial intelligence (AI) in decision-making processes has raised significant concerns regarding algorithmic bias and legal accountability. This study examines the regulatory challenges and enforcement gaps in addressing AI bias, with a particular focus on Indonesia’s legal landscape. Through a comparative analysis of AI governance frameworks in the European Union, the United States, China, and Indonesia, this research identifies key deficiencies in Indonesia’s regulatory approach. Unlike the EU’s AI Act, which incorporates risk-based classification and strict compliance measures, Indonesia lacks a dedicated AI legal framework, leading to limited enforcement mechanisms and unclear liability provisions.The findings highlight that transparency mandates alone are insufficient in mitigating algorithmic discrimination, as weak enforcement structures hinder effective regulatory oversight. Furthermore, the study challenges the notion that global AI regulatory harmonization is universally applicable, emphasizing the need for a context-sensitive hybrid model tailored to Indonesia’s socio-legal environment. The research suggests that Indonesia must adopt a comprehensive AI legal framework, strengthen regulatory institutions, and promote interdisciplinary collaboration between legal experts and AI developers. Future research should focus on empirical case studies, the development of context-specific AI accountability models, and the role of public engagement in AI bias mitigation. These efforts will be essential in shaping effective AI governance strategies that ensure fairness, transparency, and accountability in Indonesia’s digital transformation.

Digital literacy is one type of literacy that must be mastered by Indonesian citizens. Strengthening digital literacy is inseparable from fostering a culture of literacy. The implementation of digital literacy in schools is a must in the form of informatics learning media. Information technology (informatics) subjects in schools are one of the compulsory subjects. Analysis of the application of digital technology-based informatics learning media in schools is needed. This study aims to determine and analyze ICT learning facilities in schools and the extent to which the utilization of informatics learning media is implemented at SMK Askhabul Kahfi Semarang in supporting digital literacy. Using qualitative research methods and analyzed with the Creswell model. The results showed that the informatics learning media used made students learn happily and helped educators. The impact is expected to be that students understand digital literacy as a whole so that students get benefits.