Environment Facility Research Articles

Customised Methodology to Assess and Measure Effectiveness of Integrated Landscape Management Relevant Multi-Stakeholder Transformative Governance, Incorporating Rights-Based Planning and Tenure Aspects, Applied in Kenya, Nigeria, and Viet Nam

Different thinking and strategies are needed to transform our food systems at different scales. Food systems can be changed towards a more sustainable path through multi-stakeholder transformative governance at the landscape level because that is where national-level visions, objectives, and policies meet with local practice, priorities, and actions. Concrete and practical guidance on how to effectively put a multi-stakeholder transformative governance process into practice is missing. Through the Global Environment Facility (GEF) funded ‘Food Systems, Land Use and Restoration Impact Programme’, led by the World Bank, countries are supported in integrated landscape management (ILM) to ensure that production systems are embedded within wider landscapes to safeguard the natural capital and ecosystem services on which they depend. A customised methodology to assess and measure the effectiveness of ILM-relevant multi-stakeholder transformative governance, incorporating rights-based planning and tenure aspects, has been developed that makes governance explicit in the ILM process. This methodology aims to improve landscape-level institutional coordination, coherence, and collaboration through enhanced horizontal and vertical coordination and network dynamics. The conceptual framework of the customised methodology and how to operationalise it are explained and illustrated with the application in the country projects in Kenya, Nigeria, and Viet Nam. Making transformative governance explicit within the ILM process at the landscape level will require investments in time and capabilities, but allows governance to act as a catalyst towards more sustainable pathways.

Exploring the Link Between Social Media Engagement, Social Anxiety, and Environmental Preferences in University Students

As mental health issues become increasingly prominent, social anxiety is prevalent among university students and significantly affects their social behaviors and environmental preferences. With the increasing reliance on social media, understanding how these behaviors shape preferences for physical social environments is crucial for designing supportive campus spaces. This study investigates the relationship between social anxiety, social media usage, and environmental preferences in campus settings. We aim to identify the key environmental factors that can promote healthier social interactions for students with varying levels of social anxiety and social media use. Data were collected from university students through a structured questionnaire assessing demographic characteristics, online and offline behavior, social media usage intensity, social anxiety level, and environmental preferences. Using K-means clustering, participants were grouped into four clusters based on their social media usage and social anxiety levels. ANOVA and Multivariate Multiple Regression (MMR) were conducted to examine differences in environmental preferences across these clusters. Significant differences in environmental preferences were observed across the four clusters. Gender and grade influenced social anxiety levels, with females and undergraduate students reporting greater anxiety. Individuals with high social media use, regardless of their anxiety levels, generally exhibited stronger preferences for various environmental dimensions, including openness, convenience, facility provision, safety/comfort, and cultural landscape. However, individuals with higher social anxiety tended to prefer enclosed, facility-rich, and more controlled environments. The relationship between social anxiety and preferences for convenience, safety/comfort, and cultural landscape was minimal or non-significant. This study highlights the importance of considering both behavioral and psychological factors when designing university social environments. By identifying specific environmental preferences of students with high social anxiety, the findings offer evidence-based recommendations for creating more inclusive and supportive campus spaces that promote positive social interactions and well-being.

Path of Co-control of Pollution and Carbon Emissions Reduction in Typical Parks of Pharmaceutical and Health Industry in Beijing

The agglomeration of carbon emissions from the pharmaceutical and health industry has been growing gradually in Beijing. Conducting research on the path of co-control of pollution and carbon emission reduction in industrial parks is essential to realize synergy between economic development, pollution reduction, and green low-carbon. Based on the production activity data in 2020 of two typical parks of manufacturing and R&D, we selected six measures for co-control of pollution and carbon emission reduction and set up a synergistic development scenario to explore the collaborative development path of different types of parks. The results showed that： ① The primary carbon emission source in the two parks was energy consumption, such as natural gas and electricity, whereas the major pollution source was from key polluting enterprises. The emissions in the R&D park were significantly lower than those in manufacturing parks, with atmospheric pollutant emissions accounting for 25% of the manufacturing park's emissions. ② Energy structure and intensity, along with pollutant emission reduction measures, contributed 62.6% and 37.4% to pollution and carbon emission reduction for the R&D park and 81.6% and 13.5% for manufacturing park, respectively. ③ Adjusting the energy structure of the park and prioritizing the management of key polluting enterprises could achieve synergistic emission reduction, with the rate of emission reduction primarily reflecting atmospheric pollutants. Reducing energy intensity could also facilitate synergistic emission reduction, with a rapid rate of carbon emission reduction. Optimizing the industrial structure could lead to different degrees of pollution and carbon emissions increasing synergistically or not synergistically, owing to the particularity of the industrial structure of the park. ④ Applying measures to adjust the energy structure and reduce energy intensity and pollutant emissions into the collaborative path should be a priority. The governance scope of key polluting enterprises should be appropriately expanded in manufacturing parks. The synergistic effect of public environmental protection facilities of R&D parks should be focused on, in addition to reducing corporate pollutant emissions. Measures to optimize industrial structure at the park level should be adjusted to local conditions and scientifically guide industrial transformation and the settlement of high-tech enterprises.

Cloud-Based Service for Fingerprint Image Matching

Fingerprint matching is one of the most important services that related to the issue of identifying individuals, as it can be used to verify the validity of contracts, documents or in other security fields such as criminal investigations. Fingerprints are also one of the most common and accurate forms, as they are easy to obtain, it also has a unique features and cannot be identical to any individuals. The proposed service exploits the advantages provided by cloud computing, such as ease of use, availability of the service anytime and anywhere, and no need to own expensive devices with high specifications, in addition to being low cost. In this service, all fingerprint image preprocessing operations and images enhancement, in addition to the matching, verification and decision-making process are done with the help of tools which provided by cloud computing environment. While the client's role in this service is limited to feeding the system with the fingerprint to be matched. The experimental results proved that this service has achieved high accuracy in matching fingerprint images, in addition to greatly facilitating the matching process for the user, and it can be used anytime and anywhere thanks to the cloud environment facilities adopted by this service.

Remote Exercise Engagement Among Individuals With Cardiovascular Disease

Purpose: To systematically review the literature regarding barriers and facilitators to remote exercise among individuals with cardiovascular diseases (CVD). Review Methods: Six databases were searched (inception—December 2023). Studies including barriers and facilitators for remote exercise reported by individuals living with CVD were considered. Quality was rated using the Mixed Methods Assessment Tool (MMAT). Results were synthesized following a thematic analysis approach. Characteristics of interventions were reported using the Template for Intervention Description and Replication (TIDieR). Summary: From an initial pool of 8543 records, 18 studies met the inclusion criteria. Among these, 13 were qualitative studies, with individual interviews being the most frequent data extraction method. Nine studies received 5/5 MMAT scores (ie, high quality). Twelve studies reported remote exercise interventions, mostly delivered within cardiac rehabilitation, by physiotherapists, nurses, and dietitians, predominantly via telephone calls or videoconferences, with only one study incorporating text messages. Five key themes influencing remote exercise interventions were identified: technology (encompassing access and literacy, self-monitoring/motivation, and security concerns), individual health considerations (health/personal aspects and coronavirus disease-2019), social factors (support from health care team and family/social support), environment (facilities), and logistical factors (time and displacement). Several themes served as both facilitators and barriers. Key insights for remote exercise interventions included mobile accessibility, interactive chat sessions, minimal click interactions, short sessions, personalized feedback, and flexible timing. Results emphasize the importance of promoting social interaction and support between participants and health care teams to mitigate barriers and enhance facilitators in remote exercise interventions for individuals with CVD.

Ecological State of Environmental Facilities in the Zone of Influence of the Lipetsk Industrial Agglomeration

It has been found that the accumulation of heavy metals (HM) in environmental facilities of the Lipetsk industrial agglomeration varies significantly and may depend on the technological mode of the companies, the composition of aerosol fallout, soil properties, distance and direction from the emission plume, biological characteristics of plants and other factors. In the area where the Novolipetsk Iron and Steel Works (NLMK) is located, the excess levels of kerosene, gasoline and hydrocarbons in the atmospheric air were detected, as well as increased dust concentrations in the area of the Lipetsk Tractor Plant. At that, the concentrations of gaseous hazardous chemicals in the air of other areas of Lipetsk and agricultural lands at different distances and directions from NLMK did not exceed the established maximum values. The maximum content of HM was recorded in the upper layers of virgin undisturbed soils in the near zone of influence of industrial companies. It was noted that on arable soils the content of HM does not exceed the standard values, with the exception of a number of cases where the content of Fe, Cr, Ni in the grass stand exceeds the permissible level. It was concluded that the research carried out made it possible to identify the main patterns and factors influencing the pollution of environmental facilities, including components of agroecosystems.

Understanding parental preference for childcare: a cross-sectional study in Chongqing, China.

This study analyzed the factors influencing childcare preference and the relationship between childcare preference and childcare service demand scale, using data collected from a questionnaire survey of 3,921 parents of infants and toddlers in Chongqing, China. The results indicate that parents with higher incomes, higher education levels, older ages, multiple infants, and dual-career living in urban areas have a stronger preference for childcare. In the shared or grandparent care model, the childcare preference is not obvious. Parents of infants tend to choose childcare institutions that provide reception services, early education, and convenience services. Higher quality environmental facilities tend to reduce the preference of parents for childcare.

Measuring unit for synchronously collecting air dose rate and measurement position

This paper describes a measuring unit for synchronously collecting the air dose rate and measurement position for efficient dosimetry surveying and data logging. The developed prototype comprises a three-dimensional light detection and ranging-based mapping part and dosimetry part, which are integrated into a single measuring unit through an embedded computer that installs a ROS (robot operating system) framework. The unit can function as a standalone system with embedded batteries. Since it is portable, on-line data gathering in the workspace can be realized, thereby maintaining consistency between the air dose rate and measurement position. In this paper, we describe the functional requirements for the measuring unit, the prototype system configuration, and the experimental results obtained in the mockup environment and nuclear facility to discuss its performance.

Guideline for Developing Glamping Tourism in China: A Case Study of Gansu

Background and Aim: In China, glamping is experiencing rapid growth. With its unique advantages, Gansu Province has created opportunities for the development of glamping tourism. Despite challenges such as inadequate facilities and low service standards, glamping tourism in the province holds immense potential. This study aims to analyze tourism development in Gansu Province and propose recommendations for the advancement of glamping tourism. Materials and Methods: This study employed a quantitative research approach. A questionnaire survey was conducted among 400 glampers aged 18 and above who had visited Gansu Province and stayed at ten glamping sites over the past three years. The survey covered demographic information, travel habits, motivations, and tourist satisfaction. Descriptive statistical analysis, mean, and variance analysis were conducted using SPSS to quantify the relationships between different factors. Results: The research findings indicate that Gansu's unique natural beauty and rich cultural heritage contribute to high levels of tourist satisfaction with the abundance of nature and cultural landscapes. However, significant differences in satisfaction were observed in various aspects of glamping, including the glamping site environment, shower and toilet facilities, power and drainage infrastructure, emergency medical assistance, and security assurance, suggesting the need for further improvement. Additionally, external traffic and internal route planning were identified as significant factors influencing tourist satisfaction. Conclusion: The survey results indicate that glampers have high satisfaction with natural and cultural landscapes. However, there are significant differences in satisfaction regarding the campground environment, sanitation facilities, power and drainage infrastructure, transportation, emergency medical assistance, and safety measures. Analyzing the data, the following development guidelines are derived: enriching experiences, improving facilities, enhancing safety measures, reducing costs, promoting environmental conservation, integrating cultural heritage, fostering cooperation, and establishing feedback mechanisms. These measures aim to facilitate the sustainable development of glamping, attract more visitors, and promote economic prosperity.

Changes in the composition of grass and shrub layer plants in common oak stands since the closure of leaf canopy

Nowadays, there are threats of extinction of plant communities and individual plant species. Therefore, it is important to investigate the possibilities of restoring the composition of plants of different levels of forest phytocoenoses after clear-cutting in specific types of forest conditions. The purpose of the study was to establish the possibilities and features of restoring the species composition of plants of the grass and shrub layer, new growth and undergrowth after closing of canopies on common oak stands in fresh sugruds. Methods used: species accounting, comparison of species diversity at different sites, assessment of species abundance. It was established that the grass and shrub layer in closed forest stands consists of 54-57 species and it has a significant foliage cover – 60%. The base of the layer consists of 18-20 species. There is an increase with age in the value of the foliage cover of the main types of grass and shrub layer from 57-58% to 63-68%. It was found that the largest number of plants of the grass and shrub layer belongs to the forest ecological and coenotic group: in 9-10-year-old stands, 53.5% of species belong to the group, in 20-40-year-olds – 66.0%, and in 50-60-year-olds – 69.2%. It was found that the undergrowth consists of 4-6 species with a total closeness of 20-30% in crops of all age groups. The new growth consists of 6-8 species in forest stands of all age groups and their foliage cover ranges from 20-25%. The ratio of plants of different ecological and coenotic groups in oak stands of 50-60 years is quite close to overripe (130-140 years) natural stands. The practical significance of the study lies in the possibility of using the results in the practice of creating environmental protection facilities and justifying the systems of harvesting for the general use

Comprehensive vulnerability assessment for environmental facility depending on spatial characteristics in South Korea

Among environmental facilities, wastewater treatment facilities have a crucial role in sustaining human life, and any occurrence of an earthquake or flood within these facilities can result in various social, economic, and environmental issues, either directly or indirectly. Therefore, a quantitative vulnerability assessment of wastewater treatment facilities is necessary to minimize and prevent damage from earthquakes and flood disasters. For this reason, this study introduces a novel indicator to assess the susceptibility of disasters, considering aspects of exposure, sensitivity, and adaptive capacity. The newly proposed indicator encompasses numerous evaluation criteria, topography, natural surroundings, hydraulic systems, structural composition, and non-structural features. Also, Weights derived using the combined weight calculation (CWC) method, which combined the analytic hierarchy process (AHP) and entropy weight method were applied to the indicator. It was tested across 23 cities to validate its efficacy, revealing a substantial correlation between the vulnerability index and the specific attributes of the city's wastewater treatment facilities. Therefore, this study analyzed wastewater treatment facilities by comparing the attributes of the urban areas under investigation, such as topological characteristics, urbanization levels, population density, infrastructure quality, and disaster preparedness resources available. The suggested methodology can facilitate the development of strategies aimed at averting damage caused by earthquakes or floods and reducing the adverse impact on wastewater treatment facilities while considering the unique characteristics of the urban setting in question.

Craniometric determinants of the fitted filtration efficiency of disposable masks.

Exposure to harmful aerosols is of increasing public health concern due to the SARS-CoV-2 pandemic and wildland fires. These events have prompted risk reduction behaviors, notably the use of disposable respiratory protection. This project investigated whether craniofacial morphology impacts the efficiency of disposable masks (N95, KN95, surgical masks, KF94) most often worn by the public to protect against toxic and infectious aerosols. This project was registered with ClinicaltTrials.gov (NCT05388201; registration May 18, 2022). One-hundred participants (50 men, 50 women) visited the Environmental Protection Agency's Human Studies Facility in Chapel Hill, NC between 2022-2023. Craniometrics and 3D scans were used to separate participants into four clusters. Boosting and elastic net regression yielded five measurements (bizygomatic breadth, nose length, bizygomatic nasal arc, neck circumference, ear breadth) that were the best predictors of filtration efficiency based on overall model fit. Fitted filtration efficiency was quantified for each mask at baseline and when tightened using an ear-loop clip. The mean unmodified mask performance ranged from 55.3% (15.7%) in the large KF94 to 69.5% (12.3%) in the KN95. Modified performance ranged from 66.3% (9.4%) in the surgical to 80.7% (12.0%) in the KN95. Clusters with larger face width and neck circumference had higher unmodified mask efficiency. Larger nose gap area and nose length decreased modified mask performance. We identify face width, nose size, nose shape, neck circumference, and ear breadth as specific features that modulate disposable mask fit in both unmodified and modified conditions. This information can optimize guidance on respiratory protection afforded by disposable ear-loop masks.

The impact of environmental education, knowledge, and facility on pre-service teachers’ intention toward waste separation and recycling on campus: teacher education institution in Indonesia case study

The impact of environmental education, knowledge, and facility on pre-service teachers’ intention toward waste separation and recycling on campus: teacher education institution in Indonesia case study

Effects of Community Assets on Major Health Conditions in England: A Data Analytic Approach.

The broader determinants of health including a wide range of community assets are extremely important in relation to public health outcomes. Multiple health conditions, multimorbidity, is a growing problem in many populations worldwide. This paper quantified the effect of community assets on major health conditions for the population of England over six years, at a fine spatial scale using a data analytic approach. Community assets, which included indices of the health system, green space, pollution, poverty, urban environment, safety, and sport and leisure facilities, were quantified in relation to major health conditions. The health conditions examined included high blood pressure, obesity, dementia, diabetes, mental health, cardiovascular conditions, musculoskeletal conditions, respiratory conditions, kidney and liver disease, and cancer. Cluster analysis and dendrograms were calculated for the community assets and major health conditions. For each health condition, a statistical model with all community assets was fitted, and model selection was performed. The number of significant community assets for each health condition was recorded. The unique variance, explained by each significant community asset per health condition, was quantified using hierarchical variance partitioning within an analysis of variance model. The resulting data indicate major health conditions are often clustered, as are community assets. The results suggest that diversity and richness of community assets are key to major health condition outcomes. Primary care service waiting times and distance to public parks were significant predictors of all health conditions examined. Primary care waiting times explained the vast majority of the variances across health conditions, with the exception of obesity, which was better explained by absolute poverty. The implications of the combined findings of the health condition clusters and explanatory power of community assets are discussed. The vast majority of determinants of health could be accounted for by healthcare system performance and distance to public green space, with important covariate socioeconomic factors. Emphases on community approaches, significant relationships, and asset strengths and deficits are needed alongside targeted interventions. Whilst the performance of the public health system remains of key importance, community assets and local infrastructure remain paramount to the broader determinants of health.

Automated external defibrillator location selection considering myocardial infarction risk and medical resources

AbstractThe effective deployment of medical emergency equipment, such as automated external defibrillator (AED), is essential to myocardial infarction (MI) patients. However, there are shortcomings in current studies that simultaneously consider the risk of MI and the availability of medical resources when siting the AEDs. In this study, an AED site recommendation framework was proposed to address the lack of consideration for both the MI risk and medical resources when siting the AEDs. It conducts the AED sitting under different scenarios considering the spatial distribution of MI risk and healthcare accessibility in Chinese cities. First, an automated machine learning framework data is proposed to estimate the MI risk at the community scale based on multi‐source spatio‐temporal. Second, the accessibility of medical resources was calculated by an improved Gaussian two‐step moving search algorithm. Finally, the AED siting in multiple scenarios is conducted based on the coverage model. The performance of the AED siting model was evaluated at Wuhan city. The results show that MI risk is impacted by both socioeconomic and cultural characteristics (municipal utilities, streetscape environment, educational and commercial facilities). There is a strong spatial heterogeneity in the distribution of both MI risk and medical resources in Wuhan, and an unreasonable match between the two was detected in some regions. Medical resources need to be strengthened in some high‐risk areas, such as rural areas and tourist attractions. In addition, 1015 AED candidate sites were identified by the location set covering problem model, with a 15‐min accessibility rate of 96.5%. Given the limited resources, mobile AEDs which have about 15‐min service range can be deployed based on the maximum covering location problem model to meet the demand in central urban areas efficiently. This study can contribute to more rational selection of AED sites and the prevention of myocardial infarction among residents, particularly when supported by policies that promote balanced regional development of pre‐hospital medical emergency networks.

Environmental Facility of Food Products as a Factor of Market Positioning

The purpose of the article is to analyze the reactions of consumers to the quality characteristics of food products, in particular related to the level of their environmental friendliness, in order to develop proposals for improving the communication programs of manufacturers of these products in Ukraine. The authors describe the reactions of consumers to the qualitative characteristics of food products based on the results of a sociological study. 1269 people participated in the study, including 539 (42.5%) men and 730 (57.5%) women. The distribution of respondents by age is as follows: from 18 to 20 years old - 68 people or 5.4%; from 21 to 30 years old - 367 people or 28.9%; from 31 to 40 years old - 705 people or 55.5%; over 40 years old – 129 people or 10.2%. The age structure of respondents shows that about 90% of respondents belong to generations Y and Z, according to the well-known American classification. The intensifying competition among food manufacturers in Ukraine requires them to improve their own communication programs and positioning strategies by identifying significant emotional and functional attributes of the specified products. The conducted sociological study of the purchasing behavior of consumers on the food market in Ukraine contributes to the solution of this problem. The authors identified a number of factors influencing the formation of stereotypes of food quality perception. Indicators of environmental friendliness and safety for human health turned out to be the most important attributes in market positioning. The results of the study serve as a methodological basis for improving the communication programs of food manufacturers, contribute to the development of healthy competition among them. The findings of this study can be considered important as a guide for future research.

COVID-19 Pandemic and Sustainable Urban Transformation: Perspectives on City-Level Actions and a Framework for the Future

Cities were at the center of the COVID-19 pandemic due to the concentration of affected populations and economic activities that needed to be revived to support global recovery. While cities offer strong economic and social benefits due to density, proximity, and global connectivity, the pandemic had a tremendous impact on their vital functions. It resulted in lost lives and livelihoods and deepened economic and social divides. Furthermore, the pandemic exacerbated many existing environmental challenges in cities. This presented an opportunity to tackle these interlinked challenges in an integrated manner. Evidence suggests that many city leaders integrated environmental sustainability as an important element to complement their emergency responses. Drawing from experiences in cities around the world, particularly those participating in the Sustainable Cities Program supported by the Global Environment Facility (GEF), this paper describes how integrated solutions were applied to tackle the COVID-19 pandemic. Consistent with a Healthy Planet Healthy People concept, a framework is proposed for sustainable urban transformation and to build cities that are resilient to shocks and stresses. With global environmental benefits at the core, the framework highlights the importance of integration, inclusion, and innovation as key approaches in steering the future green growth and prosperity of cities.

The Influence of Green Work Environment and Work Facilities on Employee Performance

This research aims to determine the simultaneous influence of the work environment, green work environment, and work facilities on employee performance, as well as the partial influence of these factors on employee performance at the Mojoroto District Office in Kediri City. This is a quantitative study with a descriptive approach. The population in this study consists of all employees of the Mojoroto District Office in Kediri City, totaling 36 people, with the sample taken being 36 respondents or the entire population. The analysis method used in this study is multiple linear regression analysis with the help of SPSS software version 23. The results of this study indicate that the work environment, green work environment, and work facilities simultaneously affect employee performance with an F-test significance value of 0.000 < 0.05. The T-test results indicate that the work environment, green work environment, and work facilities have a positive and significant effect on employee performance with significance values for the work environment, green work environment, and work facilities all being less than 0.05. The multiple linear regression model in this study is Y = 6.527 + 0.085X1 + 0.451X2 + e.

Optimizing environmental costs and economic benefits in new energy vehicle production: A case study of FAW Hongqi in China

This study focuses on the environmental cost accounting and economic benefit optimization of China’s FAW Hongqi New Energy Vehicle manufacturing enterprise under uncertain conditions, within the context of the emission permit system This study calculates the pollution situation throughout the manufacturing and production process of FAW Hongqi new energy vehicles, and constructs a multi-level environmental cost evaluation system for FAW Hongqi new energy vehicle manufacturing projects. Through the interval fuzzy model of FAW Hongqi new energy vehicle manufacturing projects, the maximum economic benefits of the enterprise are simulated. The research results indicate that the pollution emissions of enterprises are mainly concentrated in the three processes of welding, painting, and final assembly. Enterprises use their own exhaust gas and wastewater treatment devices to meet the standards for pollution emissions. At the same time, solid waste generated during the automobile manufacturing process is handed over to third-party companies for treatment. Secondly, based on the accounting results of enterprise pollution source intensity and a multi-layer environmental cost evaluation system, the environmental costs of enterprises are accounted for, and the environmental costs are represented in interval form to reduce uncertainty in the accounting process. According to the accounting results of enterprise environmental costs, the main environmental costs of enterprises are environmental remediation costs caused by normal pollution discharge and purchase costs of environmental protection facilities. Pollutant emission taxes and routine environmental monitoring costs are relatively low. Enterprises can adopt more scientific solutions from the aspects of environmental remediation and environmental protection facilities to reduce environmental costs. After optimization by the fuzzy interval uncertainty optimization model, the economic benefits of the FAW Hongqi new energy vehicle manufacturing project were [101,254.71, 6278.5413] million yuan. Compared with the interval uncertainty optimization model, the lower bound of economic benefits increased by 57.68%, and the upper bound decreased by 12.08%, shortening the results of the economic benefits interval. Clarify the current environmental pollution situation of FAW Hongqi’s new energy vehicle manufacturing enterprise, provide data support for sustainable development of the enterprise, and provide reasonable decision-making space for enterprise decision-makers.

Pengabdian Masyarakat Melalui Kegiatan Bakti Sosial Di Kelurahan Kepuh Ciwandan

Social service is a form of Community Service, aimed at helping others in a cooperative manner without expecting any reward. This social service was carried out by KKM 46 students in Kepuh Village, Ciwandan District, Cilegon City. The method of implementation in community service in the form of social service is by carrying out mutual cooperation activities, namely; environmental and worship facility cleaning activities, helping to implement the grand tabligh activity and helping to implement the election of the RT head. 05/01 Kepuh. The implementation of the basic food distribution activity was carried out in two activities, namely; distribution of basic food during the commemoration of the Islamic New Year 1446 H. and distribution of basic food in Kepuh Village in the form of distribution of Social Assistance basic food for the poor in the Kepuh Village environment. This social service was carried out by students going directly to the field to help the community in these activities. The conclusion is that the social service that has been carried out can help and its benefits can be felt by the community around Kepuh Village, Ciwandan.