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Anemia in adolescent girls remains a significant public health problem in Indonesia, particularly in island regions with limited access to health information and services. One of the main factors contributing to the high incidence of anemia is the low level of knowledge and attitudes among adolescent girls regarding the importance of consuming iron (Fe) tablets. Nutrition education is seen as a promotive-preventive strategy that has the potential to improve the determinants of anemia prevention behavior. This study aims to analyze the effect of nutrition education on the knowledge and attitudes of adolescent girls regarding the importance of consuming iron tablets in community health centers in the Morotai Islands. This study used a quasi-experimental design with a one-group pretest-posttest approach. The study sample consisted of 30 adolescent girls selected using a total sampling technique. Data were collected using a structured questionnaire to measure knowledge and attitudes before and after the nutrition education intervention. Data analysis was conducted descriptively and inferentially using paired statistical tests appropriate to the data distribution. The results showed an increase in the level of knowledge and attitudes of adolescent girls towards consuming iron tablets after being provided with nutrition education. Statistical tests showed a statistically significant difference between the conditions before and after the intervention in both knowledge and attitude variables. In conclusion, nutrition education significantly impacts adolescent girls' knowledge and positive attitudes toward iron tablet consumption. Structured and sustainable integration of nutrition education into primary healthcare services, particularly in island regions, is crucial to support anemia prevention efforts from adolescence onward.

This study aims to address the challenges and propose solutions for the Optimization of Blockchain-Based Cybersecurity Systems to Enhance Resilience Against Ransomware Attacks using a Systematic Literature Review (SLR) approach. Blockchain is increasingly recognized as a transformative technology in cybersecurity due to its decentralized structure, transparency, and robustness in securing data. Despite these advantages, its widespread adoption is hindered by several challenges, including scalability, interoperability, high energy consumption, and limited access to representative ransomware datasets. This research highlights that integrating blockchain with advanced technologies such as data analytics, machine learning, and Explainable AI (XAI) can significantly enhance its effectiveness in combating ransomware.The findings reveal that Graph Convolutional Neural Networks (GCN) enable real-time detection of ransomware patterns in network traffic with an accuracy of up to 95%. Furthermore, Layer-2 solutions like the Lightning Network and sharding effectively alleviate the load on main blockchains, thereby increasing transaction throughput. Efficient consensus mechanisms, including Proof of Stake (PoS) and Delegated Proof of Stake (DPoS), address energy consumption issues, making blockchain more adaptable to IoT and resource-constrained environments. These approaches have proven successful in enabling early detection, mitigation, and prevention of ransomware in IoT systems, cloud infrastructures, and smart grid networks. The implications of this study underscore the potential of blockchain as a critical component of proactive and adaptive cybersecurity systems. However, overcoming existing challenges requires further development of hybrid frameworks that integrate blockchain with data analytics and machine learning technologies. In addition, efforts should focus on standardizing global security protocols to enhance interoperability and creating robust, diverse ransomware datasets to support more accurate detection systems. Future research should also explore methods to minimize latency and improve blockchain efficiency in real-time cybersecurity applications.

Coffee is a drink that the Indonesian people have long favored. Coffee can affect blood pressure because polyphenols and potassium lower blood pressure, while caffeine increases blood pressure. The World Health Organization (WHO) has estimated that by 2025, 1.5 billion people in the world will suffer from hypertension per year. Blood pressure in adolescents who experience hypertension can have a higher risk of morbidity and mortality, not only that the more severe hypertension experienced in adolescents can lead to a fairly severe risk of complications such as heart attack, stroke, and coronary artery disease. This study aims to provide broad insights related to nutrition and hopes that our education can at least change the mindset of adolescents regarding the importance of frequent coffee consumption without clear reasons. This study used the Wilcoxon Signed Ranks Test method.This nutrition education was conducted at SMK Harapan Massa, Beji, Depok. On January 25, 2024. Using Descriptive Research type. Based on Wilcoxon analysis, 45 students experienced a decrease in scores, 3 students experienced an increase and 16 students had similar scores in the post-test and pre-test. Conclusion. there is an influence on the results of students' understanding before exposure to the material (Post-test) and after exposure (Pre-test).

As 6G networks promise unprecedented speeds and ultra-low latency, AI-based resource allocation plays a crucial role in optimizing network performance. This study explores AI-driven techniques for spectrum management, energy efficiency, and real-time data processing. By leveraging machine learning and deep learning models, AI enhances network adaptability, reduces congestion, and improves overall efficiency. The proposed approaches enable intelligent decision-making, dynamic resource allocation, and predictive analytics to meet the growing demands of future wireless communication. The findings highlight the potential of AI in revolutionizing 6G networks, ensuring seamless connectivity, and maximizing network capacity while minimizing power consumption. These advancements contribute to the development of more sustainable and intelligent telecommunication infrastructures.  

This research investigates the potential of integrating waste heat recovery and geothermal exchange within district heating systems as a carbon-neutral energy solution tailored to tropical urban settings. Tropical climates present unique challenges for heating, ventilation, and air conditioning (HVAC) systems, including high humidity, temperature fluctuations, and increasing energy demands, particularly for cooling. This study aims to address these challenges by proposing a hybrid district heating system that combines renewable energy sources to improve energy efficiency and reduce carbon emissions. The methodology includes thermal and hydraulic modeling, performance simulation of the hybrid system under tropical climate conditions, and emission and energy efficiency analysis. The results indicate that the hybrid system significantly reduces energy consumption and carbon emissions compared to traditional heating systems, with waste heat recovery optimizing energy use and geothermal exchange enhancing system efficiency. The comparison with conventional systems and other environmentally friendly alternatives reveals that the hybrid system offers a cost-effective, sustainable solution for tropical urban areas. The study concludes that integrating waste heat recovery and geothermal exchange is feasible and can contribute to the creation of carbon-neutral cities. Future research should focus on optimizing geothermal systems in tropical climates and exploring further integration with other renewable energy sources to enhance system performance and sustainability.

Microplastic pollution, particularly from textile waste, has become a significant environmental concern, especially in urban runoff systems. These pollutants pose a considerable threat to water quality, aquatic life, and human health. Traditional wastewater treatment methods often fall short in addressing the complexities of microplastic contamination. This research explores the integration of advanced biodegradable polymer coatings with solar-powered textile waste treatment to reduce microplastic pollution in urban runoff systems. Biodegradable polymers, such as polylactic acid (PLA) and polyhydroxyalkanoates (PHA), are highlighted for their potential to efficiently filter microplastics while providing an eco-friendly alternative to conventional filtration technologies. By combining these materials with a small solar-powered unit, the prototype enables an off-grid, low-energy solution to treat textile wastewater in urban environments. The study includes testing the prototype in simulated urban runoff conditions with varying concentrations of microplastics, evaluating key performance indicators such as microplastic removal efficiency, energy consumption, and operational sustainability. Results demonstrate a significant reduction in microplastic concentration, indicating the effectiveness of biodegradable polymer coatings and solar-powered systems in treating urban runoff. The discussion addresses the feasibility of using local biodegradable materials, performance in real-world urban environments, and operational challenges such as maintenance and scalability. This innovative approach is compared with existing microplastic filtration methods, such as membrane filtration and adsorption, highlighting its advantages in terms of sustainability and cost-effectiveness. The findings suggest that this integrated system could offer a viable, low-cost solution for addressing microplastic pollution in urban drainage systems, with potential for widespread urban implementation.

Nutritional knowledge is knowledge about food and nutrients, sources of nutrients in food, food that is safe to consume so that it does not cause disease and how to process food properly so that the nutrients in food are not lost and how to live healthily. One of the factors that influences eating patterns is the level of nutritional knowledge. A person's level of nutritional knowledge influences eating behavior in choosing food which determines whether it is easy for a person to understand the benefits of the nutritional content of the food consumed. The aim of this research is to determine the relationship between nutritional knowledge and instant noodle eating patterns among Papuan students at Halu Oleo University. This research uses quantitative research and the type of research is observational analytics with a cross sectional design. The results showed that the majority of respondents had a poor level of nutritional knowledge (75%), while only 25% of respondents had high nutritional knowledge. This shows that even though students are in a higher education environment, their knowledge about nutrition still needs to be improved. Most respondents (52%) consume instant noodles 2-3 times a week, with the main reasons being ease of preparation (65%) and affordable price (20%). This consumption is more dominant among students who live in boarding houses or dormitories compared to those who live with their families. It is hoped that this research will be useful for subjects to balance their eating patterns and have self-control because the majority of subjects have uncontrolled eating patterns due to living in boarding houses or dormitories so that their body health continues to be maintained. Apart from that, subjects can also pay more attention to nutritional balance in consuming food in order to achieve optimal nutritional status.  

This study evaluates the impact of an AI-driven nutritional monitoring system in hospital settings, focusing on its effectiveness in reducing food waste and improving the accuracy of dietary assessments. Traditional food waste management and nutritional tracking methods in hospitals often suffer from inefficiencies, inaccuracies, and time constraints. In contrast, the AI-based system utilizes advanced technologies, including 3D scanners, digital scales, and image recognition, to optimize food production, minimize waste, and provide more accurate and timely nutritional assessments. The results of this study show a 31% reduction in food waste and a 40% improvement in the accuracy of nutritional assessments after implementing the AI system. This system enhances meal planning, portion control, and real-time tracking of food intake, offering personalized recommendations based on patient needs. The AI system also streamlines the nutritional assessment process, reducing labor-intensive procedures and providing real-time feedback to clinicians, which helps improve patient care and reduce errors associated with traditional methods. Furthermore, the environmental and financial implications of adopting AI technologies in healthcare are significant. The reduction in food waste not only helps lower hospital costs but also contributes to sustainability goals by reducing resource consumption, including water, land, and energy. This study underscores the potential of AI-driven systems to improve healthcare operations, support sustainability, and enhance patient outcomes. Future research should focus on expanding the application of AI in other healthcare sectors and further exploring its integration with other technologies for comprehensive healthcare solutions.

Water is one of the things that is very influential in the mining process, mining water is water that is at the location and/or comes from the process of mining activities, both mining and processing, including runoff water in the mining area. Surface runoff water is rainwater that overflows into mining areas and is not a result of mining activities. The open pit mining method will cause the formation of a large basin so that it has the potential to become a water storage area, both from surface runoff and groundwater. During extreme weather conditions with high rainfall, water from surface runoff can inundate the ground floor and cause the mining front to become muddy, which can hamper mining activities. Handling waterlogging in mining forts requires good pumping performance, as well as re-planning the mine drainage system for the mine progress area. So that mining activities run smoothly and the mining front is free from puddles of water after rain, the drainage system must be well designed. Based on research that has been carried out, the total area of ​​the Catchment Area is 52.14 Ha with a runoff discharge of 82,567.79 m³/month. The planned discharge using the MF-290 Pump with RPM 1600 is, 290.00 m³/hour or 123,540.00 m³/month. After comparing the MF-290, MF-385 and DND-200 pumps, the MF-290 pump was selected for use. This is because the fuel consumption of the MF-290 is smaller so it saves costs and it is also deemed sufficient to use the MF-290 pump. Pump Ratio on the MF-290 pump April 6.71. May 3.93, June 6.44, July 6.36 and August 8.83, which means the pump is safe to use because the ratio is >1.    

The rapid development of multimedia technology has significantly advanced 3D animation techniques, enabling the production of high-quality visual content across industries such as film, gaming, architecture, and product visualization. Rendering, as the final stage of the 3D production pipeline, plays a crucial role in determining both visual realism and production efficiency. This study compares the performance of three rendering engines—Eevee, Cycles, and Radeon ProRender—by evaluating rendering speed, visual quality, and memory efficiency in Blender. The objective is to provide practical insights for designers and digital content creators in selecting the most suitable rendering engine based on project requirements. In this research, three identical 3D scenes were rendered using each of the three rendering engines under controlled experimental conditions. The comparison was conducted based on several parameters, including rendering time, output file size, shadow accuracy, lighting effects, and overall visual realism. Quantitative measurements were used to evaluate render speed and memory consumption, while qualitative analysis assessed differences in shadow detail, global illumination behavior, reflection accuracy, and material realism. The results indicate that Eevee outperforms the other engines in terms of rendering speed, making it highly suitable for real-time applications and projects requiring fast previews. Cycles produces the highest level of visual realism due to its physically based path-tracing algorithm, although it requires longer rendering time and higher computational resources. Meanwhile, Radeon ProRender demonstrates competitive performance, particularly in shadow quality and lighting effects, offering a balanced alternative between realism and efficiency. Based on the findings, Blender remains a flexible and effective platform. The choice of rendering engine should depend on whether speed, graphic quality, or memory optimization is prioritized.

This article examines various aspects related to khamar, including its linguistic meaning, definitions, impacts, and the Islamic legal perspective on it. In Arabic, khamar means something that conceals or covers, referring to intoxicating beverages that impair rational thinking. Scholars provide various definitions of khamar, encompassing intoxicants derived from fermented grapes and other substances. From an Islamic perspective, khamar is considered to have more harmful effects than benefits, affecting social, economic, and health aspects. Although the trade of khamar may provide worldly profits, it is deemed contrary to Islamic teachings due to its potential to promote immorality and corrupt morals. The impact of khamar consumption on minors is particularly damaging, affecting their physical and mental health as well as causing broader social repercussions. Islamic legal sanctions against the consumption of khamar emphasize strict prohibition to prevent its use, although specific worldly punishments are not elaborated upon. This study highlights that despite the financial advantages it might offer, the negative consequences of khamar far outweigh its benefits and should therefore be avoided for the well-being of society.    

Pension funds are an important instrument in financial planning designed to provide financial security for individuals after entering retirement. The main function of pension funds is as a reliable source of income to meet living needs in old age, as well as contributing to the quality of life and individual welfare. Research shows that pension funds can reduce financial risks, such as job loss and unexpected conditions that can interfere with work ability]. In addition, employees who prepare well for their retirement funds tend to experience lower levels of anxiety as they approach retirement, which shows that good planning can improve the quality of life]. The existence of pension funds also contributes to social and economic welfare, with adequate pension guarantees that can increase household consumption and support economic growth.. In the context of sharia pension funds, fund management is carried out based on sharia principles which prohibit the practice of usury and gharar, and implement transparency and social responsibility. The application of sharia contracts in the management of sharia pension funds, such as murabahah contracts, allows management in accordance with Islamic ethical principles. Sharia financial literacy is also a key factor in increasing public participation in sharia pension fund programs. Thus, effective retirement fund planning not only meets basic needs in old age, but also contributes to social and economic well-being, and improves the quality of life of individuals.

Chronic diseases are degenerative conditions that significantly impact an individual's quality of life. Various degenerative diseases, such as diabetes mellitus, hypertension, and heart stroke, require immediate attention. Indonesia faces a dual burden in healthcare, grappling with both rampant infectious diseases and the rising prevalence of chronic degenerative illnesses. Therefore, health promotion efforts are crucial in preventing degenerative diseases among adolescents. This initiative targets teenagers due to their unhealthy lifestyle choices, which are evident in their smoking habits, poor dietary practices, insufficient consumption of fruits and vegetables, and a lack of physical activity. The primary objective of this initiative is to enhance awareness regarding the prevention of degenerative diseases among youth and to address the emergence of such conditions in this age group. The results of the community service activities indicate a notable increase in average knowledge from 6.61 to 13.80 and an improvement in attitudes from 9.61 to 14.47. The community service activities were successfully executed, as evidenced by the smooth conduct of the events and the active participation of the adolescents. To improve health quality, it is essential to foster awareness and enhance education among teenagers about the prevention of degenerative diseases.

The human body cannot work properly without water. Therefore, it is essential to conduct testing and monitoring of drinking water quality to ensure its safety and suitability for consumption. This has prompted researchers to develop more efficient systems compared to traditional methods. This study employs a systematic literature review approach by analysing various published articles to identify and evaluate the application of different types of sensors capable of detecting physical and chemical parameters for assessing drinking water quality. The findings indicate that the integration of sensors, microcontrollers, and Internet of Things (IoT) technology can provide accurate data that is accessible in real-time and remote locations. Furthermore, to enhance the reliability of the system, it is necessary to further develop data processing algorithms by applying artificial intelligence (AI) and/or machine learning technique to create smart systems with improved predictive capabilities. The implementation of these technologies is expected to support the Indonesian government’s Sustainable Development Goals (SDGs) by providing safe and affordable access to drinking water for all its citizens.

Deficiency in energy and nutrient intake in athletes can disrupt physiological functions, hinder muscle growth, cause fatigue and illness, and result in suboptimal performance. It is crucial for athletes to carefully manage their food intake during training, competition, and recovery, while also considering eating behaviors that include perception, knowledge, and habits related to food selection and consumption. This study aims to identify the factors influencing eating behaviors in non-elite athletes with a history of macro-nutrient intake deficits in the UNESA Basketball UKM. The research employs a qualitative methodology. Data were collected from key and supporting informants selected based on inclusion criteria established by the researcher. The number of research informants was determined based on the information obtained which was deemed to have reached saturation point, resulting in 7 key informants and 8 supporting informants. The collected data were analyzed through transcription and then categorized into relevant codes and themes. The findings of this study identified two main themes influencing the eating behaviors of non-elite athletes in the UNESA Basketball UKM: internal and external factors. Internal factors, including food preferences, self-discipline, self-confidence, state of mind, gastrointestinal discomfort, body image, sleep time, past eating habits, physical activity level, nutritional knowledge, and food allergies. Meanwhile, external factors include social influence, food availability, food prices, and social media.

Artificial sweeteners are widely present in food and beverages consumed in daily life. However, many consumers remain unaware of the potential negative impacts of artificial sweetener consumption. This study aims to evaluate the public's understanding of the adverse effects associated with artificial sweeteners. The method used involves active participation through direct education, incorporating pre-test and post-test questionnaires. The pre-test results show that 6 respondents, accounting for 37% of the total 20 respondents, were unaware of the long-term negative impacts. In contrast, the post-test results indicate that all respondents agreed to reduce their consumption of artificial sweeteners to mitigate potential adverse effects.

The consumption of snacks sold outside of school environments contains a lot of sugar, such as artificial sweeteners. Environmental and social factors in schools, like unsupervised off-campus cafeterias, can influence children's food consumption patterns and oral health habits. This study aims to analyze the relationship between snack consumption and dental caries in school children. The research method used is correlation with a cross-sectional approach. A total sampling technique is applied to 80 respondents. Based on the research results, snack consumption is found to be 86.3% in the sufficient category, while 73.8% of respondents are categorized with dental caries. The Spearman rank correlation test resulted in p-value of 0.168 (p > 0.05), indicating that there is no significant relationship between snack consumption and dental caries among third and fourth-grade students. This study suggests that good oral hygiene and promoting healthy snacks should be targeted for preventing dental caries in children.

The anemia prevention program for pregnant women provides 90 Iron tablets during pregnancy to reduce anemia, but the incidence of anemia is still high. Failure to get iron tablet coverage is due to forgetting, nausea and laziness to take iron tablets. The purpose of the study was to find out the knowledge and support of families towards respect for the consumption of iron tablets by pregnant women in the Tere Margaret Hospital work area in 2023. This study only uses family knowledge and support as independent variables while compliance with iron tablet consumption is the dependent variable. The research design is an analytical investigation with a cross-sectional approach. Data collection using secondary and primary data. The research sample only consisted of pregnant women. pregnant women 28-40 weeks in the Tere Margaret Hospital work area in 2023, with a total of 48 people. pregnant women. the results of the study, especially respondents (54.2%) have less knowledge of iron tablets (Fe), most respondents (68.8%) do not receive support from their families or husbands to consume iron tablets (Fe), there are also respondents (64.6%) are not consistent in consuming iron. The results of the multiple t-test showed that there was a significant relationship between knowledge and family support regarding pregnant women who consume iron tablets in the Tere Margaret Hospital work area in 2023. Health services must increase the dissemination of information through public awareness through the role of leaders in increasing knowledge about the importance of routine consumption of iron tablets for pregnant women every day.

In an effort to improve early nutrition, the Indonesian government has introduced the "Movement to Promote Fish Consumption" (GEMARIKAN) program, aimed at increasing fish consumption among the public. This program is expected to educate the community on the importance of consuming fish as a source of protein and to raise awareness of the health benefits associated with eating fish. This study aims to explore in depth the role of the East Jakarta government's public relations in campaigning for the GEMARIKAN program. The research employs a qualitative method with a library research approach. The reason for conducting this study is to understand the role of government public relations in promoting the GEMARIKAN program. As part of efforts to reduce stunting rates, the East Jakarta City Administration is actively promoting the GEMARIKAN 2024 campaign among elementary school children in East Jakarta public schools. And the results obtained were that the role of government public relations in the Gemarikan campaign in East Jakarta had gone quite well, even though the implementation was not optimal, through two approaches, namely a persuasive and educative approach and a collaborative approach.

This article discusses the phenomenon of prosumption and commodification in the context of online media platforms. By leveraging digital technology and the internet, online media not only transforms the patterns of information consumption but also involves audiences in the content production process. This phenomenon creates a new form of capitalism, known as prosumer capitalism, where the boundaries between producers and consumers become blurred. Online media exploits user-generated content without providing adequate compensation, turning it into a commodity that supports media operations. The commodification process involves content, audiences, and workers through various strategies, including clickbait, social media integration, and community-based marketing. This article highlights the social, economic, and exploitative impacts of these practices while emphasizing the potential for further transformation with the advancement of digital technology.