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Industry 4.0 has brought significant changes to human life across various sectors, including education. The education sector serves as a fundamental pillar for the growth and development of future generations, requiring collaboration from all stakeholders. Effective regulations and measures are essential to improve the quality of education and teaching.One activity within the education sector generates domestic wastewater that must be treated. Domestic wastewater refers to water waste from household activities, such as washing, kitchen use, and toilets. This study employs a quantitative method using secondary data on wastewater flow rates and parameters. The research stages include preparation, data collection (both primary and secondary), data analysis, and the preparation of environmental documents.Domestic wastewater is categorized into grey water and black water. The treatment of wastewater using anaerobic and aerobic biofilters has proven effective in reducing organic pollutant levels. The treated wastewater will be repurposed for irrigating Green Zone in school buildings.

The growing number of vehicles in major cities has posed significant challenges in parking lot management. Motorists often have difficulty finding empty parking slots quickly, which not only wastes time but also aggravates traffic congestion and increases air pollution. This research develops a Python-based smart parking system by utilizing the OpenCV library to detect the status of parking slots in real-time. The system uses a camera as the main sensor and processes the image using techniques such as grayscale, Gaussian blur, and adaptive threshold to identify the parking slot status, whether empty or occupied, with good accuracy. The parking slot coordinate data is stored in CSV format to ensure efficient data management. Experimental results with video recordings show that the system is able to operate well in various parking conditions. The system proved to be cost-effective and easy to implement, making it an ideal solution for parking managers who want to improve management efficiency without being burdened with high costs. This research offers a practical solution to help motorists and parking managers optimize parking space usage, reduce search time, and minimize negative impacts such as congestion and carbon emissions.

Blue carbon ecosystems play a strategic role in mitigating climate change through their ability to absorb and store carbon significantly. However, uncontrolled exploitation of marine resources, such as overfishing, destructive fishing methods, and fishing gear waste, have threatened the sustainability of blue carbon ecosystem. Penangkapan Ikan Terukur (PIT) policies implemented by the Indonesian government aims to realize sustainable fisheries by regulating fishing quotas based on zoning. This reserach aims to identify the urgency of integrating blue carbon ecosystems into PIT policies in Indonesia to maintain the sustainability of marine resources and support climate change mitigation. Using qualitative descriptive methods based on literature studies, this research found that integrating blue carbon ecosystems into PIT policies can provide significant ecological benefits. Strict monitoring, restoration of blue carbon ecosystem habitats, and implementation of scientific data-based policies are needed to ensure the success of this policy. This integration is expected to be able to maintain marine ecosystems, support sustainable fisheries, and contribute to global climate change mitigation targets.

This study evaluates the effectiveness of using infographics in conveying environmental issues, such as waste management and climate change. Quantitative methods were used to measure the level of public understanding before and after exposure to infographics. The findings show that attractive and simple data visualization significantly increases public knowledge and awareness of the importance of environmental conservation.

This study aims to develop and implement Problem-Based Learning (PBL) and Project-Based Learning (PJBL) learning models in mathematics learning at SD Negeri No. 18 Bababulo, Majene Regency. The main objective of implementing these two models is to increase student involvement, as well as critical, analytical, and creative thinking skills in solving mathematical problems. The implementation procedure began with an introduction to the theme of the impact of plastic waste on the environment. Students were divided into six groups to discuss problems, develop project plans, and conduct observations. The results showed that students were actively involved, with significant increases in motivation and critical thinking skills. Enthusiasm was seen during discussions and presentations, although there were challenges related to self-confidence during presentations, which were overcome through practice from the teacher. The conclusion of this study states that the implementation of PBL and PJBL is effective in improving students' understanding of mathematical concepts and social skills. Suggested follow-ups include consistent implementation of both models and periodic evaluation to improve the quality of learning.

The use of liquid organic fertilizer (POC) is an innovative solution to increase crop productivity in drylands that face challenges in soil fertility and water availability. This study aims to evaluate the effect of various types of POC, including moringa, kirinyu, rabbit urine, fermented fruit waste, and local microorganism-based (MOL) POC, on plant growth and yield. The method used was literature review and analysis of literature from various journals, theses, theses, and dissertations, which were analyzed descriptively and quantitatively.  The results showed that all types of POC increased plant productivity with an average increase of 20-40% compared to the control, with rabbit urine recording the highest increase of 40%. The effectiveness of POC comes from the content of nutrients, bioactive compounds, and microorganisms that improve soil structure, increase water retention, and spur nutrient absorption. The discussion underscored the importance of utilizing local resources to reduce environmental pollution and improve agricultural sustainability.  In conclusion, POC proved to be an effective alternative to increase crop yields in drylands while supporting sustainable agriculture. Recommendations for further research include further exploration of local organic materials and application of POC on a field scale.

Community empowerment in the formation and management of waste banks and used cooking oil waste in RW 03, Medokan Semampir Village, Sukolilo District, Surabaya City, aims to increase community awareness and participation in protecting the environment. This program was initiated as a response to the problem of solid and liquid waste which is often ignored, even though it has the potential to be managed into a resource with economic value. Through the waste bank, residents are involved in the process of managing household waste, sorting organic and inorganic waste, and utilizing it into valuable or recyclable items. Meanwhile, for used cooking oil waste, collection and education are carried out regarding the negative impacts of careless disposal of oil on the environment, as well as its use as raw material for biodiesel or other environmentally friendly products. The community empowerment approach is carried out through outreach, training and mentoring by the driving team. This program not only aims to improve the environment, but also opens up economic opportunities for local communities through a savings system from the sale of collected waste and used cooking oil. The results of this activity show an increase in environmental awareness among the community, as well as real economic benefits felt by the residents of RW 03.

This research focuses on the development of automatic waste classification by applying the Convolutional Neural Network (CNN) method in a web-based application. This system is designed to help the waste management process through automatic sorting between organic and inorganic waste, so that it can support recycling efforts and reduce environmental impacts. In its application, this application utilizes the CNN algorithm to analyze images and recognize the type of waste with good accuracy. The development uses technologies such as Python and OpenCV to ensure efficient processing of image data, with the CNN model trained using a dataset of 22,564 images. Test results show excellent accuracy, reaching 99.27% for organic waste and 98.72% for inorganic waste.

Environmental sanitation is an important factor in public health. Sanitation problems are one of the biggest challenges facing developing countries. According to the World Health Organization (WHO), one child dies from diarrhea every 15 seconds worldwide due to lack of access to sanitation. The purpose of this study was to determine the description of environmental sanitation in coastal communities in Tateli Village. The method used is quantitative research using descriptive methods. The population in this study were all houses in Tateli Village. The sample studied in this study used a total sampling technique where all populations were sampled, namely 48 houses as respondents. Data were collected using a questionnaire, then analyzed univariately. The results show that the description of environmental sanitation of coastal communities in Tateli village is, Healthy housing conditions that do not meet the requirements are more with a percentage of 77.1% compared to those that meet the requirements, Clean water supply conditions that meet the requirements are more with a percentage of 58.3% compared to those that do not meet the requirements, Family toilet conditions that do not meet the requirements are more with a percentage of 83.3% compared to those that meet the requirements, Wastewater drainage channels are more qualified with a percentage of 79.2% compared to those that do not meet the requirements, Waste bin facilities that do not meet the requirements are more with a percentage of 77.1% compared to those that meet the requirements.

Waste is leftover material that is considered to have no economic value, but its existence cannot be avoided in people's social life. In Karanglangon Hamlet, the increase in population that occurs every year increases the volume of waste produced. As the population increases, household waste production and other activities also increase, thereby exacerbating waste management problems in the region. If not managed properly, the increasing amount of waste can have various negative impacts, both on public health and the surrounding environment, such as air, land and water pollution. This problem demands more attention from various parties to find appropriate and sustainable solutions. This research aims to identify in more depth the problems related to waste management at the Dusun Karanglangon TPS using the PAR (Participatory Action Research) approach method. The research results revealed that the condition of the waste at the TPS had a significant negative impact on the surrounding environment. The main causes are limited facilities, minimal budgets, and inadequate waste management standards, resulting in the accumulation of waste and increasingly severe environmental pollution.

Eco enzyme is a fermentation liquid from organic waste, namely fruit or vegetable peels stamped with brown sugar or molasses and water. The ratio between brown sugar or molasses, organic matter (BO), and water is 1:3:10.  There are many benefits of eco enzymes, from the results of research and testimonials of eco enzyme users in the field.  The benefits of eco enzymes include soil fertilization, water purification, for disinfectants, hand soap, and detergents, to nourish hair, floor cleaners, healers for injuries, and so on. The implementation of this community service activity was carried out 2 times, namely: 1) Tuesday, July 19, 2022, with socialization material and the practice of making eco enzymes. 2) Thursday, November 10, 2022, with socialization material and practice of making Eco Enzyme Detergent.    The results of the development of one of the benefits of eco enzymes are Eco Enzyme Detergents, which are followed up with research related to the quality test results of EE Detergent washing results, SEE Detergents, and Chemical Detergents.  Development of community service activities related to eco enzymes to advanced eco enzyme products will continue to be developed and researched, to provide optimal benefits to the community.  

The increase in population without the support of adequate waste management facilities, such as the availability of Temporary Shelters (TPS), has caused the people of Blitar Regency to have the habit of throwing rubbish carelessly in rivers or the habit of burning rubbish. This can cause various negative impacts on the environment and health. This research highlights the importance of the "Bacem Berseri" Waste Bank program to create public awareness in managing waste in a healthier and more sustainable way. The aim of this research is to analyze the implementation of collaborative governance in waste management in Bacem Village, Sutojayan District, Blitar Regency. The research method used was descriptive qualitative, data collection was carried out through in-depth interviews with stakeholders, including Environmental Service officials, village heads, administrators of the "Bacem Berseri" Waste Bank, and local residents. Data analysis techniques include data collection, data condensation, data presentation, and drawing conclusions. The results of this research show that collaboration between parties, including government, society, NGOs and the private sector, can increase the effectiveness of waste management through collaborative governance mechanisms. Key findings include the importance of face-to-face dialogue, facilitative leadership, commitment to process, and shared understanding in increasing community participation and building trust. The Waste Bank system implemented has had a positive impact in reducing waste accumulation and providing financial benefits for residents. However, the challenge lies in efforts to increase public awareness in all RTs to participate actively.

Oxygen breaks down chemicals in water into simpler parts. As a result of oxygen's ability to oxidize with pollutants, such as organic components, the pollutants are not harmful. Environmental pollution, also known as pollution, is when living things, energy substances, and/or other elements enter the environment, or when the environmental order is changed by human activities or by natural processes so that the quality of the environment decreases to a certain level that causes the environment to be less or unable to function according to its function (Basic Law on Environmental Management No. 4 of 1982). Environmental pollution events are called pollution. Pollutants are substances or materials that have the ability to pollute the environment. When a substance meets the requirements to be a pollutant, it is called a pollutant. For illustration, the level of carbon dioxide in the air of 0.033% is beneficial to plants, but higher levels can cause damage. When air quality exceeds the set standard quality values, namely emission and ambient air quality, it is called "polluted air". If the air quality worsens due to activities, but is still below the quality standard, then "Air is not polluted, only a decrease in air quality". The air quality standard limits the levels of CO2 and CO gases, as well as the boezem itself, which produces an unpleasant odor in the environment. This odor comes from the boezem itself, where there is a lot of garbage, perhaps most of it from the domestic waste of the surrounding residents. The health of AAL personnel is not affected by the presence of the Morokrembangan Boezem. The results of measurements carried out on November 8, 2019 at 08:55, with the AAL position at 7 ° 3'38.40 "E 112 ° 42'51.91, showed that there were several variables that exceeded the quality standard which would certainly have a negative impact on the environment, such as the content of sulfur dioxide, carbon dioxide, nitrogen oxides, and ammonia which are still on the threshold.

Fly density is an indicator of environmental sanitation assessment. Fly density is influenced by waste management, the National Waste Management Information System (SIPSN) shows that waste generation in Jambi City reaches 159,688.01 tons/year. The aim of this research is to determine factors related to the level of fly density in Temporary Waste Storage Sites (TPSS) in Telanaipura District, Jambi City 2023. This research is a quantitative research with a cross sectional method research design. This research was conducted in the Telanaipura District community with a sample of 94 people. Data analysis was carried out using univariate and bivariate methods using correlation tests. The results of this study indicate that knowledge (p=0.027), action (p=0.029), monitoring (p=0.017), sorting (p=0.016), collection (p=0.027), and transportation (p=0.026) have relationship with the level of fly density, while attitude (p=0.245) had no relationship with the level of fly density. Knowledge, action, monitoring, sorting, collection and transportation are factors related to the level of fly density in temporary waste storage sites in Telanaipura District. It is hoped that the public will pay attention to managing household waste properly.

This study examines community participation in chemical waste management in urban areas, aiming to understand the extent of community involvement in protecting the environment from the harmful impacts of hazardous waste. The introduction outlines the importance of managing chemical waste in densely populated urban areas and the risks arising from a lack of public awareness and knowledge. This research employs a qualitative approach, utilizing in-depth interviews, questionnaires, and direct observations. Interviews were conducted to explore community perspectives and motivations, questionnaires were used to assess their level of participation and understanding, and observations were carried out to examine real actions in waste management practices. The results indicate that community participation remains low, influenced by limited outreach, awareness, and support facilities. This study highlights the need for improved education, facility provision, and partnership programs between the government, community, and private sector for more effective and sustainable chemical waste management.

Sculpture is a field of three-dimensional fine art that has dimensions of height, width, and length. According to M. Susanto in his book Diksi Seni Rupa (2002) Miniature is a model, replica, prototype, and scale model as well as various forms of fine art made in small sizes. The author uses the Assembly Technique which in the manufacturing process uses a tool, namely Solder to melt Plastic Waste. Waste is a very important environmental problem, especially in urban areas to create this work, the author uses the Sp. Gustami creation method. The stages of the process of creating a work of art from this method include: 1.Exploration Stage 2. Improvisation/Experimentation Stage 3. Formation/Manifestation Stage. The results of the creation of this Deer miniature statue produced 12 three-dimensional sculptures of various sizes. The process of creating this sculpture began with determining the design, assembling the frame, wrapping plastic around the frame and then melting it, after that forming the details and footing of the statue so that the statue can stand. after that coloring using a spray car, the last step is to give clear to the statue

The 2023 Surabaya City Waste Bank Competition, which was opened by the Mayor of Surabaya himself, included many villages that placed first, including Gunung Anyar Tambak Village. The government and local community of Gunung Anyar Tambak Village, Surabaya, have taken an ecologically conscious approach to solving the garbage issue via the garbage Bank Program. Reducing trash sent to the TPA (Final Disposal Area) and raising public awareness about the need for proper waste management are the primary goals of this campaign. Located in the Mangrove region, Gunung Anyar Tambak Village lies on the seashore. The researcher use a qualitative descriptive methodology, gathering data via interviews, documentation, and observation. Data collecting takes done at the research site. An individual's capacity to influence their own social, economic, and political circumstances is crucial to their advancement in society, and community empowerment provides that opportunity. In order to address waste issues and use available resources, the trash bank program was developed as a community and environmental empowerment initiative. An individual's capacity to influence their own social, economic, and political circumstances is crucial to their advancement in society, and community empowerment provides that opportunity. The Bintang Mangrove trash bank offers a variety of community empowerment activities, including as savings and loans, power payment, medical treatment, recycling, replanting, and environmental care.

This study examines the implementation of a wetland-based circular economy in South Kalimantan, which integrates local wisdom and sharia values ​​for sustainable natural resource management. The purpose of this study is to understand how the principles of ta'awun (mutual cooperation), maslahah, and istihsan can encourage organic waste management, ecosystem conservation, and improve community welfare through a circular economy. The method used is an ethnographic study, with a qualitative approach to explore the experiences, views, and practices of local communities in implementing this concept. The results of the study indicate that a wetland-based circular economy not only provides economic and environmental benefits, but also strengthens social and religious values ​​through cross-sector collaboration involving the community, government, and the private sector, as well as the implementation of sharia instruments such as productive waqf and environmental zakat for sustainable development in South Kalimantan.

Energy efficiency has become a critical focus in manufacturing plants due to rising operational costs and increasing environmental concerns. The growing importance of energy management is driven by the need to reduce energy consumption, lower emissions, and enhance overall operational efficiency. Traditional maintenance practices, such as reactive and preventive maintenance, often lead to unnecessary downtime, high repair costs, and inefficient energy usage. In contrast, predictive maintenance (PdM), supported by Internet of Things (IoT)-enabled sensor networks, offers a proactive approach to minimizing energy waste by predicting equipment failures before they occur. This study develops a predictive maintenance framework using IoT-based sensor networks to optimize energy usage and reduce energy losses in manufacturing plants. The research begins with an overview of IoT sensor network architectures and their applications in industrial automation, including sensors such as temperature, vibration, and pressure sensors. It explores predictive analytics techniques, such as machine learning and artificial intelligence, used for failure prediction, which are key to enhancing energy efficiency. The study emphasizes how predictive maintenance contributes to industrial sustainability by reducing carbon footprints and optimizing energy consumption. The research methodology involves the installation of IoT sensors in critical machinery, real-time data analysis using machine learning algorithms for failure prediction, and energy consumption measurement before and after implementing IoT-based interventions. The results show significant improvements in energy consumption efficiency and operational productivity. Predictive maintenance led to reduced unplanned downtime, increased equipment reliability, and a more sustainable manufacturing process. However, challenges such as sensor integration, initial setup costs, and data security concerns were identified. The study concludes with recommendations for integrating IoT-based predictive maintenance systems into manufacturing plants to further optimize energy usage and promote sustainability.

This study investigates the impact of Islamic education on promoting environmental awareness and sustainable economic behavior among youth. As environmental issues continue to pose significant global challenges, fostering eco-conscious behavior among the younger generation is essential for ensuring long-term sustainability. Islamic education, with its emphasis on ethical responsibility, stewardship, and accountability as outlined in the Quran and Hadith, provides a unique framework for shaping pro-environmental attitudes and behaviors. This experimental study compares two groups of students: the treatment group exposed to green-Islamic content and the control group receiving general civic education. The research measures students' environmental awareness, knowledge of sustainability, and behavior before and after the intervention, using pre-test and post-test questionnaires, as well as qualitative interviews. The results indicate that the treatment group exhibited a significantly greater improvement in environmental awareness and sustainable behavior compared to the control group. These findings suggest that Islamic education, by integrating religious and ethical principles into environmental education, can effectively encourage sustainable behaviors such as resource conservation, waste management, and ethical consumption. The study highlights the importance of incorporating Islamic values into educational curricula as a means to foster a more environmentally responsible generation. Additionally, the research emphasizes the need for further studies to explore the long-term effects of eco-conscious Islamic education across different cultural and educational contexts. The results of this study contribute to the growing body of knowledge on the role of religious education in addressing global environmental challenges and promoting sustainable development.