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This study evaluates the effectiveness of a hybrid citizen–AI legal monitoring system in enhancing urban environmental governance. The hybrid system integrates citizen-driven reporting platforms with AI-powered legal monitoring tools to address the challenges of weak public oversight in urban environmental management. By implementing the system in three metropolitan areas, the study explores how real-time data collection through citizen reports, combined with AI-driven analysis, can improve the accuracy, speed, and responsiveness of identifying environmental violations. The results showed a 45% improvement in oversight effectiveness, demonstrating the potential of hybrid systems to enhance monitoring capabilities beyond traditional methods. The AI system, capable of analyzing large datasets and providing timely insights, enabled quicker identification and categorization of violations such as pollution and waste management issues. The integration of citizen involvement through digital platforms allowed for more inclusive data collection, enhancing the quality and volume of information available for decision-making. This synergy between human participation and AI-driven analysis improved the speed of response to urban environmental challenges, making the system more adaptive and efficient. However, challenges such as data reliability and variable citizen participation rates were identified, suggesting the need for strategies to encourage consistent engagement and ensure the accuracy of reported data. The study concludes that hybrid citizen–AI systems can significantly improve urban governance by enhancing transparency, accountability, and responsiveness, offering a promising solution for cities seeking to address environmental issues more effectively.

This research aims to examine the role of environmental management in supporting the development of sustainable tourism at Asstro Highland Ciater. Apart from that, this researcher aims to find out and evaluate the concept of environmental management in order to preserve the environment. The background of this writing is because this tourist attraction relies heavily on nature. so environmental management is very important to study, several problems that want to be discussed include: 1. waste management that is not yet optimal 2. increased use of natural resources such as water and energy that is not controlled 3. as well as low awareness of tourists and local communities which has an impact on damage to local ecosystems, the method used includes in-depth interviews with tourist attraction managers and local communities to identify policies and managerial practices implemented in environmental management. Apart from that, field observations were carried out to assess environmental conditions and interactions between visitors and the natural surroundings. The main results obtained from this research were: 1. Efforts to reduce plastic waste 2. Conservation measures which include the use of water-saving equipment and energy use 3. Management can provide education to tourists regarding the importance of maintaining cleanliness and preserving nature, from this research it can recommend the development of ecotourism and strengthening sustainable tourism branding through preserving nature. 

Rainfall monitoring is an important aspect of meteorology and water resources management. The development of a microcontroller-based rainfall monitoring device that can transmit data in real-time through the Telegram application offers an effective and efficient solution to overcome the constraints of manual monitoring. This research aims to design and build a rainfall monitoring system that uses a microcontroller as the main controller and the Twilio platform as a data transmission service via Telegram. This tool is designed to measure rainfall intensity using a hall effect sensor, which is then processed by a microcontroller. The rainfall data obtained will be sent to the user's device via Telegram message. This system is expected to provide accurate and timely information to users, so that it can be used in various applications such as agriculture, flood monitoring, and water resource management. The test results show that this rainfall monitoring tool is able to send data quickly, this tool is expected to increase efficiency and effectiveness in rainfall monitoring and make a significant contribution in the field of meteorology and environmental management.

This research aims to evaluate the use of organic waste as biowash by PKK members in the village and to find factors that support and hinder the implementation of the program. This research was conducted qualitatively with a descriptive case study approach. Data was collected through participant observation, in-depth interviews, and document study. Research shows that the success of the program is greatly influenced by the level of knowledge of PKK cadres regarding organic waste management. While limited tools and lack of community awareness are obstacles that need to be overcome, an effective training process and support from the village government are the main supporting factors. This research found that this program not only benefits the environment, but can also improve the local economy. The results also show that this program can be used as a model for other villages.

Big data has revolutionized the landscape of natural sciences by providing extensive datasets that enable deeper insights and more accurate predictions. However, effectively analyzing such vast and complex data requires optimized machine learning algorithms tailored to specific applications. This study focuses on enhancing the performance of machine learning models in big data analysis for applications in natural sciences. The research aims to identify key optimization techniques, including feature selection, hyperparameter tuning, and algorithm customization, to improve model accuracy and computational efficiency. A combination of supervised and unsupervised learning approaches was applied to real-world datasets in fields such as climate science, genomics, and ecology. The findings demonstrate significant improvements in predictive accuracy and processing speed, highlighting the potential of optimized machine learning techniques in solving complex problems in natural sciences. The implications of this research extend to more efficient resource utilization and improved decision-making in scientific exploration and environmental management.

This study aims to identify morphological and reproductive characters in Thallophyta and Bryophyta in UIN Sunan Gunung Djati Bandung. Bryophytes have high species diversity and are known as the second largest group of plants after flowering plants. They play an important role in maintaining ecosystems, especially water balance and nutrient cycles, and serve as bioindicators due to their sensitivity to environmental changes. The study was conducted by taking samples of leaf lichens and crustose lichens on various substrates such as rocks, soil, and trees, then observed using a stereo microscope and binocular microscope. The results showed that Thallophyta, such as crustose lichens, have unique morphological structures and can reproduce through ascospores, while Bryophyta, such as leaf mosses, have a life cycle that includes gametophyte and sporophyte stages. Reproduction in leaf mosses occurs sexually through the antheridium and archegonium, and asexually through stolon fragmentation. In addition to their ecological role, lichens also provide important habitat for a variety of organisms and help maintain the balance of tropical forest ecosystems. The adaptation of lichens to a wide range of environmental conditions allows them to survive in various substrates and extreme situations. This study provides new insights into the role of lichens in ecosystems and their potential applications for environmental conservation and restoration. The results of this study can serve as a basis for biodiversity conservation efforts and sustainable environmental management. Therefore, it is important to take appropriate conservation measures to preserve the vital role of lichens in ecosystems and the overall health of the environment.

One of the government's efforts to protect the environment in the Indonesian industrial sector is by establishing laws and regulations that become a reference for the public and business actors and/or activities related to the environment. The government, through the Ministry of the Environment, issued regulations in the form of PROPER as an evaluation of industrial performance in environmental management. Based on the PROPER program mentioned above, the East Java Provincial Government is implementing the Environmental Trust Business/Activity Development Program or known as PUSAKA, which aims to provide environmental management guidelines based on environmental permits held by businesses and/activities (non-PROPER) in East Java. The PUSAKA mentoring program is used to prepare business actors and/or activities in East Java to achieve PROPER. Apart from that, it can also improve environmental management performance in business entities and/or activities in East Java Province, especially PT X. The PUSAKA development program has been successful in becoming a trigger for evaluating PT X's environmental management. Because it succeeded in increasing compliance with PPA and PLB3 by 85.7% and 3.75%.

  This journal discusses the influence of external and internal factors on delays in implementing environmental pollution approval and control at PT Royal Coconut. Through a case analysis approach, this research explores the impact of factors such as changes in environmental regulations, public pressure, and internal company policies on the timing of environmental approval implementation. We also consider internal organizational factors, such as risk management, corporate commitment, and technical capacity in the context of pollution control. This research explores the complex interactions between these factors and their impact on the implementation process of environmental agreements, providing in-depth insights for practitioners, policy makers and researchers interested in the field of industrial environmental management. Based on the research results, it shows that the basis for evaluating the implementation of environmental pollution control at PT Royal Coconut in West Limboto District is not in accordance with the approval, when viewed from Article 1338 of the Civil Code. The research results show non- compliance in the implementation of the agreement, which includes environmental violations and non- compliance with agreed obligations. In addition, there are several identified problems related to factors inhibiting the implementation of environmental pollution control agreements originating from internal and external factors of the company. such as, lack of legal and ethical awareness in business, lack of awareness of the impact of environmental pollution, lack of government education with the community regarding the dangers posed by factory waste, and lack of openness between the community and the management of PT Royal Coconut. So in realizing implementation it must require participation from the community and local government.

The fabric printing industry makes a major contribution to various kinds of textile products, its by-products, liquid waste, require special attention in environmental management. Most of the liquid waste originating from the fabric printing industry consists of dyes, solvents and other processing chemicals. To prevent negative effects on water quality and the surrounding environment, managing this waste is very important. To achieve sustainability, advances in liquid waste processing technology are very important. The solution to reduce the impact of liquid waste from the fabric printing industry is an advanced purification process. PT. X to reduce polutan parameter such BOD, COD , TSS, Ammonia and Total Colidform by. 90%, 95%, 95%, 85%, 20%, 90% And meets the specified quality standards. Because the pH parameters still meet existing quality standards, processing is focused on reducing the organic parameters which are quite high. The results of the process will be used again for flushing activities in green open spaces and for washing operational vehicles.