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The pollution of the Ciliwung River caused by urban and commercial activities has become an increasingly critical environmental issue, reflecting the weak effectiveness of environmental law enforcement in urban areas. This condition is evident in the area surrounding Seasons City Mall, where ecological pressure resulting from domestic waste and commercial activities has contributed to the deterioration of river water quality. This study aims to analyze the implementation of environmental law enforcement, identify the obstacles to controlling pollution in the Ciliwung River, and formulate strategies for optimizing sustainable environmental protection. The research employs a qualitative approach using normative juridical and empirical methods through observation, interviews, documentation, and literature review. The findings reveal that environmental law enforcement has been implemented through administrative supervision and waste control mechanisms; however, its effectiveness remains limited due to weak inter-agency coordination, inadequate monitoring capacity, low compliance among business actors, and limited public participation. This study concludes that strengthening integrated supervision, enforcing consistent legal sanctions, and enhancing collaboration among government institutions, business sectors, and communities are essential to achieving sustainable pollution control and environmental protection of the Ciliwung River.

The Indonesian capital market has become a vital pillar of the national economy, providing opportunities for companies to obtain funding while simultaneously providing an investment vehicle for the wider community. In this context, stocks are the most sought-after instrument due to the potential returns they offer. However, stock investment is constantly faced with uncertainty, with fluctuating stock prices often presenting challenges for investors, especially those without a thorough understanding of the company's fundamental performance. An interesting phenomenon, the starting point of this research, is the quite extreme price movements of BIPI shares over the past decade. From 2015 to 2021, BIPI's share price remained stagnant at Rp 50 per share, a condition often referred to by market participants as "gocap" (goat capit). This condition reflects low investor interest in the company's shares, possibly due to high risk perceptions or unconvincing fundamental performance.

Hypertension is a non-communicable disease often referred to as a silent killer because it generally does not present noticeable symptoms. Several risk factors contribute to the development of hypertension, including high body mass index (BMI) and low levels of physical activity. However, data regarding the association between BMI, physical activity, and hypertension at Pakuan Baru Public Health Center, Jambi City, remain limited. Therefore, this study aimed to determine the relationship between body mass index and physical activity with hypertension among adults at Pakuan Baru Public Health Center, Jambi City. This study employed a quantitative approach with a cross-sectional design. The research was conducted at Pakuan Baru Public Health Center, Jambi City, from November 19 to December 6, 2025. The study population consisted of all adult patients with hypertension at Pakuan Baru Public Health Center, totaling 2,797 individuals. A sample of 93 respondents was selected using an accidental sampling technique. Data were collected using observation sheets through measurements of height and weight to calculate BMI, as well as the Global Physical Activity Questionnaire (GPAQ). Data analysis was performed using univariate and bivariate analyses with the chi-square statistical test. The univariate analysis showed that 27 respondents (29.0%) were classified as severely obese, 42 respondents (45.2%) had a low level of physical activity, and 28 respondents (30.1%) were categorized as having stage 2 hypertension at Pakuan Baru Public Health Center, Jambi City. The bivariate analysis revealed a significant relationship between body mass index and physical activity with blood pressure among patients with hypertension (p = 0.000). It is expected that healthcare providers at Pakuan Baru Public Health Center will continue to provide education regarding the importance of controlling body mass index and engaging in regular physical activity, as these factors contribute to increased blood pressure among patients with hypertension.

Regular physical activity is known to play an important role in maintaining overall health, including improving immune system function and mental health. Lack of physical activity remains a public health issue, making it important to understand the impact of physical activity on the immune system and mental health. This study aimed to review the effect of regular physical activity on the immune system and mental health using a literature review method. The literature sources were obtained from publications within the last five years using databases such as Google Scholar, PubMed, and ScienceDirect. The articles were then screened and selected based on inclusion and exclusion criteria, resulting in nine relevant articles for analysis. The selection results indicate that regular physical activity can increase the mobilization and activity of immune cells such as lymphocytes, neutrophils, and natural killer cells, and also modify the adaptive immune system through changes in T cells and B cells. In addition, physical activity also improves mental health through neurobiological mechanisms such as increased endorphin, dopamine, and serotonin levels, which can reduce stress, anxiety, and depression, as well as improve sleep quality and psychological well-being. Therefore, regular physical activity has a positive effect on the immune system and mental health and can be used as a promotive and preventive strategy to maintain overall health.

The elderly are a vulnerable group to experience decreased physical and cognitive function, such as hypertension and dementia, which can affect their quality of life. The Activity Therapy Program aims to improve the well-being of the elderly through laughter therapy, listening to music, and playing guess the word. The method used is group dynamics, which involves fun activities to stimulate the cognitive and social of the elderly. This activity is expected to increase social interaction, sensory stimulation, and improve the cognitive function of the elderly. The implementation of therapy was carried out involving 60 elderly people, with stages that included orientation, work, and termination. Evaluations showed that 60% of participants actively participated in laughter and guess therapy, as well as being able to express their feelings. This program has shown success in improving the quality of life of the elderly by encouraging them to be more active and social. In conclusion, TAK can be an effective solution to improve the quality of life of the elderly through physical and cognitive stimulation. It is recommended that this program be carried out regularly to maintain the memory and social health of the elderly.

The increase in the number of elderly residents demands the provision of residential facilities that not only meet physical needs, but also support the psychological and social well-being of their users. This study aims to formulate the concept of behavioral architecture-based nursing home design by focusing on the relationship between elderly activity patterns, privacy levels, and spatial relationships of space in the local context of Indonesia. This study uses a qualitative-descriptive approach in the framework of architectural design, with data collection through observation of elderly activities, site analysis, and documentation studies. Activity data was analyzed to identify space needs and usage patterns, then synthesized with site characteristics to formulate the concepts of zoning, circulation, and behavior-based spatial relationships. The results of the study show that the activities of the elderly form a layered behavioral structure, including residential and health activities as primary needs as well as social, productive, and educational activities as support for psychosocial welfare. Hierarchically arranged space zoning based on privacy levels has been proven to improve the readability of the space, sense of security, and comfort of the elderly. The integration of green open spaces as part of the activity system also strengthens support for light physical activity and social interaction. This study confirms that the application of behavioral architecture allows the translation of data on elderly behavior and site conditions into a contextual, humanist, and quality-of-life-oriented design concept. These findings provide practical implications for designers and policymakers in the development of sustainable elderly housing.

Industrial development in Indonesia has significantly contributed to national economic growth; however, it also poses potential risks of environmental pollution when corporate waste management is not conducted properly. Environmental pollution resulting from corporate waste activities may cause harm to surrounding communities, including health problems, ecosystem degradation, as well as material and immaterial losses. In this context, the class action mechanism serves as a relevant legal instrument to collectively advocate for the rights of affected communities. This study aims to analyze the implementation of the class action mechanism in environmental pollution cases based on Decision Number 29/Pdt.G/2023/PN.Skh and to evaluate its effectiveness in providing legal protection and restoring the rights of affected communities. This research employs normative legal research using statute approach, case approach, and conceptual approach. The findings indicate that the class action mechanism in the aforementioned decision fulfilled the requirements of numerosity, commonality, typicality, and adequacy of representation as regulated under Supreme Court Regulation (PERMA) Number 1 of 2002. Procedurally, the class action proved effective in enhancing access to justice, ensuring judicial efficiency, and strengthening the protection of the constitutional right to a good and healthy environment. However, its substantive effectiveness remains dependent on the fulfillment of formal requirements, the quality of evidence presented, and the consistent application of environmental law principles by judges. Therefore, the class action mechanism constitutes an important instrument in environmental law enforcement, yet it requires consistent regulatory support and judicial practice to achieve optimal ecological justice.

Learning media is a tool that can be used to help students learn better and more efficiently. The media used in SMP Negeri 23 Pekanbaru is a teacher-centered picture/poster media so that students quickly get bored, and because of the limited media from the school. Most students prefer learning that involves them directly such as the element of games. The learning models used are discovery, PBL, and lecture models, and student learning activities are still lacking or less active in science learning. The purpose of this study is to develop learning media in the form of a cooperative-based snakes and ladders game with the Teams Games Tournament (TGT) type which aims to train student learning activities. The research method used is Research and Development (R&D) by implementing the ADDIE model which consists of five stages, namely Analyze, Design, Development, Implement, and Evaluation. Based on the validation results obtained, media experts were 94% with very feasible criteria, material experts were 92% with very feasible criteria, teachers gave a practicality assessment of 95% with very practical criteria, and students' responses were 85% with very interested criteria. This shows that the snakes and ladders media based on Teams Games Tournament (TGT) is very reasonable, very practical to use, and very interesting for students during the learning process. The results of observations on all student learning activities showed that 79% got a good interpretation.

The phenomenon of moral degradation and the increase in negative activities among children during the crucial hours between dusk and evening have become serious challenges for the community in Ujung Negeri Kahan Village. This community service research aims to evaluate and optimize the role of the "Maghrib Mengaji" program as a preventive instrument to shield children from unhealthy environmental influences and gadget dependency. The method employed in this service is participatory mentoring using the Asset-Based Community Development (ABCD) approach, involving religious leaders, parents, and village officials. Through the restructuring of activities in mosques and prayer rooms, this program focuses not only on Qur'anic literacy but also on the cultivation of noble character (akhlakul karimah). The results indicate a significant transformation in behavior; children who previously engaged in counterproductive outdoor activities are now more focused on positive spiritual and social endeavors. The success of the program is indicated by a decrease in the intensity of nighttime wandering and an increase in learning discipline. The conclusion of this activity confirms that community synergy through structured religious programs is effective in reducing the potential for juvenile delinquency and strengthening the moral resilience of the younger generation at the rural level.

Etos kerja dan kewirausahaan ialah aspek penting dalam membangun kesejahteraan individu dan masyarakat, namun dalam praktiknya belum sepenuhnya berlandaskan nilai-nilai keislaman. Oleh karena itu, diperlukan pemahaman yang lebih mendalam mengenai konsep kerja dan kewirausahaan yang bersumber dari ajaran Islam. Artikel ini bertujuan untuk mengkaji konsep etos kerja dan kewirausahaan berdasarkan tafsir al-Qur’an dan hadits Nabi sebagai landasan moral dan spiritual dalam aktivitas ekonomi. Studi ini memakai metode kualitatif dengan pendekatan studi kepustakaan melalui penelaahan berbagai literatur berupa buku tafsir, kitab hadits, serta artikel jurnal ilmiah yang relevan dengan tema penelitian. Data yang diperoleh kemudian dianalisis secara deskriptif dan tematik untuk menemukan nilai-nilai utama yang terkandung dalam ajaran Islam terkait aktivitas kerja dan usaha. Hasil kajian memperlihatkan bahwa Islam menekankan nilai kerja keras, kejujuran, tanggung jawab, kemandirian, disiplin, serta orientasi keberkahan sebagai prinsip utama dalam bekerja dan berwirausaha. Kesimpulannya, etos kerja dan kewirausahaan dalam perspektif Islam tidak hanya berorientasi pada pencapaian materi, melainkan juga pada pembentukan akhlak mulia sekaligus kepatuhan kepada Allah sebagai tujuan utama kehidupan.

Private vehicles are a frequently used mode of transportation because they are considered more practical. However, using private vehicles carries several risks, such as traffic accidents due to drivers losing focus on the road due to other activities, such as making calls on smartphones, drinking, or operating the radio. Approximately 90% of accidents are caused by human error. Convolutional Neural Network (CNN) is a type of neural network commonly used on image data. CNN is often used for image classification due to its high performance and accuracy. Therefore, this study aims to analyze the performance of CNN for the classification of distracted driving activities. The results show that the CNN model is able to effectively classify images of distracted driving activities, with an accuracy of approximately 99% across all datasets and across all input image size variations. Furthermore, the results of this study also show that differences in right-hand and left-hand drive datasets do not significantly affect model accuracy. Variations in input image size also do not significantly affect model accuracy, but do affect the training duration.

Background: Hand grip strength is an essential indicator of physical capacity and nutritional status that can identify obesity risk. Adipose tissue accumulation in central obesity contributes to decreased hand grip strength quality through impaired muscle force transmission. Previous studies showed inconsistent results regarding the relationship between waist circumference and hand grip strength, especially in populations with high physical activity. Objective: To analyze the relationship between waist circumference and hand grip strength in male construction workers with high physical activity in Medan City. Methods: This descriptive-analytic study with cross-sectional design involved 100 male construction workers aged 30-39 years selected using purposive sampling technique. Waist circumference was measured using measuring tape, while hand grip strength was measured using handgrip dynamometer. Data analysis used Chi-Square test with significance level α=0.05. Results: The majority of respondents had normal waist circumference (64%) with mode 70 cm and normal grip strength category (53%) with mode 41.7 kg. Chi-Square test showed significant relationship between waist circumference and hand grip strength (p=0.039). Conclusion: There is a significant relationship between waist circumference and hand grip strength in construction workers. High physical activity does not completely prevent central obesity, therefore nutritional management and health education programs are needed for optimization of body composition and muscle functional capacity.

Introduction: Maximal oxygen volume (VO2max) is the capability of the cardiorespiratory system to deliver oxygen to muscle mitochondria, which is directly proportional to the level of stamina and is obtained from physical activity. Central obesity, which is characterized by excessive accumulation of visceral fat, can cause decreased stamina, so individuals with central obesity tend to have lower VO2max values. VO2max values can be determined by body composition, such as waist circumference, which is an indicator of central obesity. Methods: This study used an observational analytical design with a cross-sectional approach and involved 54 male respondents with high physical activity jobs who worked as building construction workers in Medan City, North Sumatra Province. Waist circumference measurements were carried out using a measuring tape, while VO2max was assessed using a 6-minute walk test. Statistical analysis was performed using the Spearman correlation test with a significance level of 0.05. Results: A total of 47 respondents (87%) had a normal waist circumference, 31 respondents (57.4%) had a fair VO2max, and 16 respondents (29.6%) had an average VO2max. The analysis showed a significant relationship between waist circumference and VO2max, with a P value of 0.000 (P<0.05) and R = -0.658. Conclusion: There is a strong and significant negative correlation between waist circumference and VO2max. This indicates that a larger waist circumference results in a lower VO2max, and a smaller waist circumference results in a higher VO2max.

The community service program conducted by students during the Field Work Practice (PKL) at TPQ Nurul Huda, Riam Mengelai Village, is implemented as a tangible contribution to student guidance, focusing on enhancing religious competence, discipline, and worship skills. This program was motivated by the need to improve the quality of religious education systematically and according to the skill level of each student, making learning more effective and targeted. The objective of this service is to optimize student guidance by improving Quran reading skills, daily prayer memorization, moral development, and active participation in religious activities according to each class’s ability. The implementation method includes initial observation, planning a guidance program based on skill levels, direct teaching and learning, individual and group mentoring, and periodic evaluation. Students are divided into four classes according to their ability: Class 1 for students at IQRA’ levels 1 and 2, Class 2 for IQRA’ 3 and 4, Class 3 for IQRA’ 5 and 6, and Class 4 for students who can read the Quran fluently. Each class receives materials tailored to their level, ranging from introduction to Arabic letters, Quran reading, daily prayer memorization, to moral development and worship practices. This class-based guidance approach allows PKL students to provide focused attention, ensuring optimal learning outcomes. The results show significant improvements in students’ discipline, learning motivation, Quran reading skills, prayer memorization, and moral understanding. Class-based guidance according to skill levels provides each child with an appropriate learning experience, enabling maximal development. PKL students gain practical experience in early childhood religious education, lesson development, and classroom management. This program is expected to serve as a systematic, effective, and sustainable model for student guidance at TPQ Nurul Huda.

Background: Hyperuricemia represents a medical condition marked by elevated concentrations of uric acid within the bloodstream, potentially triggering gout alongside various metabolic disorders. Central obesity has been identified as a contributing factor to rising uric acid concentrations, measurable through waist circumference assessment. Methods: An analytic observational design utilizing a cross-sectional approach was employed in this investigation, encompassing 100 male participants characterized by sedentary lifestyles who were employed as office workers in Medan City, North Sumatra Province. Waist circumference measurements were obtained using a flexible measuring tape, while uric acid concentrations were determined through Point of Care Test (POCT) devices. Statistical evaluation was conducted via the Chi-Square test, applying a significance threshold of 0.05. Results: Among all participants, 64 individuals (64%) exhibited waist circumference measurements indicative of central obesity, whereas 56 individuals (56%) demonstrated hyperuricemic conditions. Statistical evaluation revealed a significant association between waist circumference measurements and uric acid concentrations, evidenced by a p-value of 0.000 (p < 0.05). Conclusion: A meaningful correlation exists between waist circumference and uric acid concentrations among males engaged in sedentary occupations.

This study aims to examine the impact of tourism activities on environmental sustainability and the culture of the Tengger tribe in Ngadas Village, Poncokusumo District, Malang Regency. Ngadas Village is one of the traditional villages located in the Bromo Tengger Semeru National Park area and is a growing natural and cultural tourist destination. The research method used is a qualitative approach with data collection techniques through observation, in-depth interviews, and documentation studies. The results of the study show that tourism activities have a positive impact in the form of economic improvement for the community and the preservation of several cultural traditions through tourist attractions. However, there are also negative impacts such as environmental degradation due to increased waste volume and land use change, as well as the commercialization of culture, which has the potential to diminish the sacred meaning of the Tengger tribe's traditions. This study recommends the need for sustainable and participatory tourism management, involving the indigenous community in decision-making so that environmental and cultural sustainability is maintained amid the development of the tourism sector.

This research aims to analyze student learning activities in Mathematics through observational studies at SD Inpres 1 Koya Timur. Student learning activities are an essential aspect in determining the success of learning, particularly in Mathematics, which requires active student involvement in the processes of thinking, reasoning, and problem-solving. This study uses a qualitative approach with observation methods and a systematic literature review. Data were obtained through observations of fifth-grade students' learning activities during Mathematics lessons, supported by relevant literature analysis. The results show that student learning activities include visual, verbal, writing, mental, and emotional activities. Some students displayed active involvement through activities such as asking questions, answering questions, discussing, and completing assignments; however, there were still students showing passive involvement. Factors influencing student learning activities include the role of the teacher, teaching methods, the use of media and learning materials, the classroom environment, and student characteristics. This research concludes that the student learning activities in Mathematics classes at SD Inpres 1 Koya Timur are categorized as fairly active, but improvements are necessary by implementing student-centered learning strategies to make Mathematics learning more effective and meaningful.

The increasing use of Learning Management Systems (LMS) in higher education generates large amounts of student activity data that have the potential to provide deeper insights into learning processes. However, in practice, these data are still rarely analyzed systematically to understand variations in students’ learning activity patterns, limiting their practical use in supporting teaching and learning. This study aims to explore students’ learning activity patterns in an LMS using a clustering approach based on activity data.This research utilizes the publicly available Open University Learning Analytics Dataset (OULAD), focusing on a single course and a single academic term. LMS activity data were processed through data cleaning and feature extraction, followed by student clustering using the K-Means algorithm. The quality of the clustering results was evaluated using the Silhouette Score, and visual analysis was applied to support the interpretation of the results.The results indicate that students’ learning activities can be grouped into two main patterns, namely a group of students with high learning activity and a group with lower or moderate activity levels. These findings highlight the existence of heterogeneous learning behaviors among students, even within the same learning context.The identified learning activity patterns provide an initial foundation for utilizing LMS data to monitor student engagement and to support the development of more responsive, data-driven learning approaches in higher education.

Soursop leaves (Annona muricata L.) are known to contain secondary metabolites such as alkaloids, flavonoids, tannins, saponins, and polyphenols, which have antibacterial potential. This study aimed to formulate soursop leaf extract into a gel dosage form and to evaluate its antibacterial activity against Pseudomonas aeruginosa. This research was conducted as an experimental laboratory study. Soursop leaf extract was obtained using the maceration method with 96% ethanol as the solvent and then formulated into gel preparations with extract concentrations of 5%, 10%, and 15%. Physical evaluation of the gel preparations included organoleptic test, homogeneity, pH, spreadability, and viscosity. Antibacterial activity was evaluated using the well diffusion method on Nutrient Agar medium. The results showed that all gel formulations met the physical requirements for topical preparations. The antibacterial activity test demonstrated that the soursop leaf extract gel inhibited the growth of Pseudomonas aeruginosa, with the 15% concentration producing the largest inhibition zone of 10 mm compared to other concentrations. In conclusion, soursop leaf extract gel has potential to be developed as a topical antibacterial agent against Pseudomonas aeruginosa.

This study is motivated by the increasing need for accurate modeling and classification of one-dimensional signal data in intelligent systems. The rapid development of deep learning has led to the adoption of more adaptive and complex neural network architectures capable of capturing both temporal dependencies and local patterns in sequential data. This research aims to analyze and compare the performance of several deep learning models, namely Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and a hybrid Convolutional Neural Network–GRU (CNN–GRU) model for signal data classification. The research method employs a quantitative experimental approach involving data preprocessing, windowing, model training, and performance evaluation. Model performance is evaluated using accuracy, precision, recall, and F1-score metrics. The results indicate that the hybrid CNN–GRU model outperforms the other models, particularly in capturing local features and long-term temporal dependencies within signal data. These findings suggest that the integration of convolutional layers and recurrent mechanisms enhances feature representation and learning stability. This study is expected to contribute both theoretically and practically to the development of deep learning models for signal processing and time-series-based intelligent applications.