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This study explores the application of green hydrogen technology for industrial decarbonization, focusing on its techno-economic and environmental feasibility. A quantitative approach was used, incorporating system modeling of a solar-based hydrogen production system combined with electrolyzers. The techno-economic assessment involved calculating the Levelized Cost of Hydrogen (LCOH), estimating capital and operational expenditures (CAPEX and OPEX), and evaluating the system's energy efficiency and hydrogen output. The environmental impact was analyzed using Life Cycle Assessment (LCA), comparing the carbon footprint of green hydrogen with fossil-based hydrogen. The results reveal that green hydrogen can reduce carbon emissions by up to 60% compared to fossil hydrogen, primarily due to the use of renewable energy for production. Additionally, the study found significant improvements in energy efficiency as electrolyzer performance and solar capacity increased. The LCOH is expected to decrease steadily as solar panel and electrolyzer prices continue to fall, enhancing the competitiveness of green hydrogen in the energy market. The findings also highlight the potential for heavy industries, such as cement and steel production, to transition from fossil fuels to green hydrogen, contributing to a cleaner industrial energy mix. This transition presents both environmental and economic benefits, with long-term savings from reduced fossil fuel dependency and lower production costs.

Energy efficiency has become a cornerstone in industrial optimization, reducing operational costs and contributing to sustainability. This paper reviews key innovative approaches in mechanical systems used to enhance energy efficiency within industrial applications. It covers advances in system design, smart technologies, automation, and predictive maintenance. By understanding these techniques, industries can make strides toward greener production processes, lower energy costs, and reduced environmental impact.

This study focuses on optimizing electric vehicle (EV) battery recycling through the use of green chemical processes and circular economy principles. The research aims to enhance the recovery of valuable metals lithium, cobalt, and nickel from used lithium-ion batteries (LIBs) in an environmentally sustainable manner. Green solvents were employed as a safer alternative to conventional, toxic chemicals, minimizing hazardous waste emissions and improving the efficiency of the recycling process. Experimental results showed that the green solvent-based process achieved high recovery rates of 90% for cobalt, 87% for nickel, and 85% for lithium, with metal purity levels exceeding 95% for all three metals. The study also examined the scalability of the green solvent method, revealing its potential to offer more sustainable and cost-effective solutions compared to traditional methods, which typically involve high temperatures and toxic chemicals. Despite the promising results, challenges such as solvent recovery and the adaptation of the process for large-scale industrial applications remain. Nonetheless, the study demonstrates that integrating green solvent-based recycling into the global EV supply chain can significantly reduce environmental impacts, conserve resources, and support the transition to a circular economy. The findings highlight the potential of this recycling method to provide a more sustainable and efficient solution for EV battery recycling, ultimately contributing to the development of a more sustainable EV industry.

Background: Management of physical waste (solid and liquid) is an important aspect in maintaining environmental sustainability. In recent years, innovative technology has become a major focus in efforts to increase the effectiveness of physical waste management. The aim of this research is to examine the effectiveness of physical waste processing using innovative technology for each type of waste. Method: The research method that will be used in this research includes a literature review. The research method that will be used in this research is a key step to test and evaluate the effectiveness of innovative technology in physical waste processing. Results: Physical waste, such as plastic, electronics, and paper, has become an increasing global environmental problem. The impacts include soil, water and air pollution as well as human health risks. Effective physical waste management is important to reduce its negative impacts. Solutions include public education, government-industry collaboration on policy, and technological innovation. With good collaboration, it is hoped that effective solutions can be created to maintain environmental sustainability and human health. Innovative technologies in solid and liquid waste management provide advantages such as solutions to environmental problems, increased efficiency, and the creation of new, better products. However, challenges such as high investment costs, inadequate infrastructure and limited regulation need to be overcome. To overcome these challenges, cooperation between government, companies, academics and society is needed.

Population growth in Indonesia continues to increase every year. If the rate of population growth in Indonesia is currently stagnant. It is estimated that Indonesia's population will double every 5 years. The increase in population has an impact on issues of food security, meeting energy needs, environmental control, and the low level of Indonesia's Human Development Index (HDI). Meanwhile, in the health sector, the increase in population also has an impact on the high Maternal Mortality Rate (MMR). The aim of the research was to determine the relationship between maternal knowledge and the use of injectable contraceptives for 1 month at the Lahusa South Nias Community Health Center in 2023.The type of research carried out was Descriptive Analytical with a cross sectional approach, the sample in the study was 43 people using a Random Sampling System. The data collected in the research is primary data, namely data obtained directly from respondents. The data analysis used is chi square The results of the cross-tabulation research showed that the majority of mothers' knowledge was good in using contraceptives as many as 12 people (92.3%) with Chi-Square showing a p value of 0.000. So Ho is rejected and Ha is accepted, which means there is a relationship between the mother's knowledge and the use of injectable contraceptives for 1 month at the Lahusa Health Center, South Nias in 2023. The conclusion is that it is hoped that providing a 1-month injectable contraceptive will make it easier and reduce the costs of carrying out contraception at the Lahusa South Nias Community Health Center in 2023.

This study seeks to create a system for monitoring the environment using the Internet of Things. It aims to help farmers manage their rice fields in a way that is both effective and sustainable. The system will provide farmers with real-time data on soil moisture, air temperature, and rainfall, allowing them to make informed decisions. Sensors will collect this information, which will be analyzed and presented simply through a web or mobile app. Early simulations suggest that this system could boost crop yields by as much as 15% and cut water use and costs by 20%. These findings point to the IoT monitoring system as a practical means to enhance rice farming's efficiency and productivity. Yet, there are hurdles. Issues like poor network infrastructure, high costs of implementation, and the farmers' ability to adapt to this technology need to be overcome for the system to work properly. This study aspires to make a real difference in promoting sustainable farming practices while paving the way for more advanced IoT solutions in the future.

This study aims to analyze the effect of Corporate Social Responsibility (CSR) disclosure, Environmental Costs, and Company Size on the Financial Performance of mining sub-sector manufacturing companies listed on the Indonesia Stock Exchange. In this study using the type of quantitative data with the acquisition of secondary data derived from financial statements. Sampling using Purposive Sampling technique with 32 samples in this study. The method used in this study adopts the Partial Least Squares Structural Equation Modeling (PLS-SEM) method to analyze the relationship between CSR disclosure, Environmental Costs and Company Size. The results of this study indicate that Corporate Social Responsibility (CSR) has a positive but insignificant effect on financial performance. While Environmental Costs and Company Size have a negative and significant effect on Financial Performance.

This paper examines the adoption of sustainability practices in startups, comparing those in developed and developing economies. With a growing emphasis on sustainable development, startups play a crucial role in driving environmental and social change. The study analyzes the challenges and opportunities faced by startups in both contexts, focusing on resource management, green innovation, and social responsibility initiatives. The findings reveal distinct approaches between the two groups, with startups in developed economies leveraging more advanced technologies, while those in developing economies rely on cost-effective, local sustainability practices. Recommendations are provided for fostering sustainability in the startup ecosystem.

The rapid urbanization and industrialization of cities have significantly contributed to the rising pollution levels, especially in urban rivers, where water quality is often compromised. Monitoring water quality in real-time is essential for mitigating the adverse effects of water contamination. This research aims to design and implement an Internet of Things (IoT)-based system for real-time monitoring of water quality in urban rivers, focusing on the continuous collection and analysis of environmental data. The system utilizes a range of sensors to measure critical water quality parameters, including pH, temperature, dissolved oxygen (DO), turbidity, and various contaminants, all of which transmit data wirelessly to a central server for further processing. The study evaluates the accuracy, reliability, and efficiency of the IoT system in detecting water pollution and its ability to deliver real-time insights. Findings demonstrate that the IoT system offers a higher level of precision and faster detection compared to conventional monitoring methods, making it an effective tool for real-time pollution detection and decision-making. Additionally, the integration of the IoT system with a user-friendly visualization platform enhances the accessibility of the data for stakeholders, enabling them to monitor the water quality effectively. The study suggests that IoT-based water quality monitoring systems present a sustainable long-term solution for urban water management, offering cost and time savings. Moreover, the research highlights the importance of cross-sector collaboration to support the development and deployment of IoT technologies and recommends further advancements in sensor technologies to monitor additional water quality parameters.  

This research explores the potential of local bio-composites made from bamboo and coconut fiber as sustainable building materials in Indonesia. The construction sector in Indonesia faces significant environmental challenges, particularly the high carbon emissions associated with conventional materials like concrete and steel. The primary objective of this research is to evaluate the environmental and economic benefits of substituting these traditional materials with bio-composites, using Life Cycle Assessment (LCA) and energy optimization simulations. The LCA methodology evaluates the environmental impact of bio-composites across their entire life cycle, comparing them with conventional materials in terms of carbon emissions, energy consumption, and waste. Energy optimization simulations focus on assessing the thermal performance and overall building efficiency when using bio-composites in construction. The main findings suggest that bio-composites exhibit a significantly lower carbon footprint and better thermal insulation properties than concrete and steel, contributing to reduced energy consumption in buildings. Additionally, the use of locally sourced materials like bamboo and coconut fiber offers economic advantages, such as lower transportation costs and support for local economies. The research concludes that bio-composites can serve as viable alternatives to traditional materials, providing both environmental and economic benefits. For successful adoption, the research recommends policy support, technological advancements, and educational initiatives to promote the use of bio-composites in Indonesia’s construction industry.

E-waste has become a critical global issue due to the rapid growth of electronic product consumption and the environmental risks associated with improper disposal. Traditional disposal methods, such as landfilling and incineration, are no longer sustainable as they lead to environmental degradation, health hazards, and loss of valuable resources. In contrast, remanufacturing, a key component of the circular economy, offers a more sustainable solution. This study explores the effectiveness of remanufacturing as a strategy for e-waste management, focusing on its ability to reduce waste generation and improve material efficiency in the electronics industry. The research utilizes a case study approach, examining industrial-scale remanufacturing processes, including material input-output analysis to track resource flows and waste streams. The findings reveal a significant reduction in e-waste generation, with up to a 50% decrease in waste volume, and substantial improvements in material recovery, particularly in metals like gold and copper. Additionally, the study highlights the economic and environmental benefits of remanufacturing, such as cost savings and resource conservation. However, the study also identifies barriers to the widespread adoption of remanufacturing, including technological, financial, and regulatory challenges. The results underscore the potential of a circular-economy-based remanufacturing model as a sustainable solution for the electronics industry. The study calls for further research into improving remanufacturing technologies, enhancing policy frameworks, and expanding circular economy practices across various industries.

Renewable energy microgrids integrated with smart control systems are emerging as a sustainable solution for electrifying rural industrial zones, offering substantial improvements in energy efficiency and reductions in carbon emissions. This study explores the implementation of hybrid renewable energy systems, combining solar and wind energy, and the integration of Internet of Things (IoT) sensors to optimize energy consumption in real-time. The findings highlight that the combination of solar and wind energy in microgrids leads to up to a 30% increase in energy efficiency, with a significant reduction in CO₂ emissions, reaching up to 50% compared to traditional grid systems. IoT sensors play a crucial role in load forecasting, optimization, and system stability, enabling real-time monitoring and proactive adjustments to energy distribution. Additionally, the implementation of these systems in rural industrial zones not only provides reliable, clean energy but also reduces reliance on fossil fuels, making them economically viable and environmentally sustainable. However, challenges such as high initial investment costs, integration complexities, and the need for skilled technicians remain. Despite these barriers, the long-term benefits of reduced energy costs, improved energy security, and lower carbon footprints make renewable energy microgrids a promising solution. The study suggests that these systems can be scaled to other rural regions facing similar challenges in energy access and carbon emissions, offering a path to sustainable development. Further research is recommended to explore alternative renewable energy combinations and advancements in IoT applications to improve system scalability and efficiency.

This study evaluates the effectiveness of natural materials as antimicrobial agents in the treatment of freshwater fish diseases, with the aim of offering a safer and more sustainable alternative to synthetic chemicals and antibiotics. Using the literature review method, this study analyzed relevant current scientific articles. Results showed that extracts of betel leaf, neem leaf, cinnamon essential oil, basil essential oil, aloe vera, and propolis had significant antimicrobial activity against freshwater fish pathogens such as Flavobacterium columnare and Aeromonas hydrophila. Betel leaf extract and cinnamon essential oil showed inhibition rates of up to 85% and 82%, respectively. The advantages of using natural ingredients include environmental safety, reduced risk of antimicrobial resistance, and immunostimulating effects in fish. However, challenges such as ingredient availability, cost, and standardization still need to be addressed. This study suggests the development of natural ingredient-based products, standardization and quality testing, further research, and training for fish farmers. Collaboration between stakeholders is also important to reduce dependence on antibiotics. In conclusion, natural ingredients have great potential as effective and environmentally friendly antimicrobial agents in freshwater fish health management.    

This study investigates the performance and sustainability of a hybrid solar-biomass drying system for agricultural products, focusing on its efficiency, environmental impact, and economic feasibility. The hybrid system combines solar energy and biomass combustion to create a continuous and reliable drying process. The key findings reveal that the hybrid system achieves over a 20% improvement in drying efficiency compared to solar-only and biomass-only dryers. This efficiency gain is attributed to the synergistic use of solar energy during the day and biomass energy during periods of low sunlight or at night, ensuring consistent drying conditions and reduced drying time. Additionally, the hybrid system significantly reduces CO₂ emissions, contributing to a more sustainable approach to agricultural processing. The environmental benefits of using renewable energy sources, as opposed to fossil fuels, align with the growing need for energy-efficient and eco-friendly agricultural technologies. Economic analysis suggests that the hybrid system is a cost-effective solution for small- to medium-scale farmers, particularly in rural areas where access to grid electricity is limited. The use of locally available biomass fuels further enhances the system’s sustainability and affordability. This study also discusses the practicality of implementing hybrid dryers in rural farming communities, emphasizing their potential to improve drying efficiency, reduce environmental impacts, and boost economic opportunities for farmers. Future research should focus on optimizing system integration, expanding biomass fuel options, and exploring automation to enhance the performance and scalability of hybrid drying systems.

This paper presents an optimization approach for a hybrid photovoltaic (PV)-wind-battery energy system tailored for remote areas in Indonesia. Due to the archipelagic nature of the country, many remote areas lack access to the national power grid, making renewable energy solutions crucial. This study utilizes a genetic algorithm to optimize system configurations, balancing energy production, storage requirements, and cost efficiency. Results indicate that the proposed hybrid system can meet local demand with high reliability and at lower costs compared to diesel generators. The study also addresses environmental and social impacts, proposing sustainable energy strategies for Indonesia's underserved regions.

The integration of Green Internet of Things (Green IoT) systems in agriculture presents a promising solution for addressing critical challenges in water and energy usage. This study investigates the impact of real-time monitoring and data-driven irrigation control on resource optimization in precision agriculture. By incorporating soil moisture sensors, solar-powered IoT devices, and data analytics, the system aims to reduce water and energy consumption, enhancing sustainability in farming practices. The research finds that the Green IoT system can reduce water usage by up to 40% compared to traditional methods, while energy consumption is decreased by approximately 25% through the use of solar energy. The study also explores the advantages of implementing IoT-enabled systems, which ensure precise water delivery, preventing over-watering and under-watering, thereby improving crop yields and reducing waste. Despite these positive outcomes, the research identifies key challenges such as high initial costs, limited infrastructure in rural areas, and concerns related to data security. These barriers hinder the widespread adoption of Green IoT systems, especially in developing agricultural regions. Nonetheless, the findings highlight the potential of Green IoT to foster sustainable agricultural practices by promoting efficient resource use and reducing environmental impact. The study suggests that further research should explore the long-term economic implications of Green IoT adoption and investigate ways to overcome technical and financial challenges. Additionally, expanding the scope of Green IoT to other agricultural sectors, such as livestock farming, could enhance its applicability and overall impact on agricultural sustainability.

The aim of this research is to determine the level of understanding and concern of food and beverage canteen MSME business actors at Muhammadiyah University of Riau regarding the application of environmental accounting in their business operations. Environmental accounting is a field of accounting that is developing by voluntarily including environmental costs in company financial reports. Research data was collected through questionnaires. Using a random proportional technique, three canteen MSMEs selling food and drinks at the Muhammadiyah University of Riau were selected. In this qualitative descriptive research, data analysis was carried out using the Miles and Huberman data analysis model in Sugiyono (2017): reducing data, presenting data, and making conclusions. The research results show that two out of three food and beverage MSME business owners in the Muhammadiyah University of Riau canteen have a good understanding and concern about the importance of implementing green accounting (environmental accounting). They do not yet understand the details of business and environmental costs, but they know that environmental costs are included in their business financial statements.

PT. Varia Usaha Beton Sidoarjo is a manufacturing company that produces concrete products and provides services, where the products produced definitely produce a high environmental impact. The application of environmental accounting itself is needed to support the company's operational activities to identify, measure, evaluate and report environmental accounting as control over the responsibility for negative impacts from the company's operational activities. The triple bottom line concept is also a theory that looks not only from the profit aspect but also from the people and planet aspect.  This research aims to find out how environmental accounting is implemented in relation to the triple bottom line concept towards a green economy in order to achieve sustainability at PT. Varia Usaha Beton Sidoarjo.  This research uses a qualitative descriptive research design with a case study approach.  The data in this research was obtained from observations and interviews by researchers with parties related to the research.  Based on the results of research at PT. Varia Usaha Beton, it is known that the company has implemented environmental accounting, but the recording carried out does not yet have a separate account.  The company has been responsible for managing and minimizing environmental costs to improve company performance, which is related to the triple bottom line concept towards a green economy in order to achieve company sustainability through managing waste and the products produced.

Regency roads are local roads which do not include roads connecting the district capital to other districts, but their network is diverse as a link for local activities, namely connector roads between villages, between sub-districts, production center roads and environmental roads in residential areas. This research focuses on roads in Kaur Selatan District and Maje District, Kaur Regency, Bengkulu Province with a total length of 128.50 km with a total of 68 sections. There are several sub-district roads which are a road network that is integrated with national roads. In general, this road section is often used by various types of vehicles, from light to heavy vehicles. Utilization of roads that do not match their class and the influence of the weather climate in areas that are quite extreme result in landslides so that the road body becomes narrow and heavily damaged. As a result of damage to existing roads, community activities are hampered. The purpose of this research is to provide information to the Bengkulu Regency government in preparing priority planning, determining the type of pavement that is appropriate to the location of the road section and determining the calculation of the costs required. The results of research and calculations show that the cost required for road repairs is IDR. 70,788,844,000 for a period of 5 years. The priority scale consists of 17 sections with a cost of Rp. 57,541,204,000.

This research aims to analyze the judge's decision regarding environmental crimes committed by corporations through Decision Number 190/Pid.B/LH/2020/PN Plw. This research uses a type of normative research with three approaches for the purposes of legal analysis and explanation, namely the case approach, statutory approach and conceptual approach. In contrast to previous research, this research specifically describes how judges interpret judges' interpretations in deciding cases of environmental crimes committed by corporations in more detail, not only from a criminal law perspective but also from the perspective of environmental law itself. The results of this research show that the Defendant in the "a quo" case is not a human being/person who can physically act and speak in front of the court, but rather a corporation with a legal entity, so in this case the Defendant PT. APAI must be represented by its administrator, namely Mr. GKE who is the Director of PT. WHAT. The defendant's actions were categorized as gross negligence because they reflected very serious negligence because they had a significant impact and were detrimental to the wider community. The defendant was not sentenced to prison but was only sentenced to a minimum fine in accordance with the provisions of Article 99 Paragraph (1). The defendant was also sentenced to additional punishment or disciplinary action in the form of reparation for the consequences of the criminal act even though this article was not included in the prosecutor's indictment. The additional punishment imposed is in the form of the amount of costs required to improve the environment in the amount of land that has been determined by taking into account the polluter pays principle and the precautionary principle. For this reason, the imposition of additional criminal sanctions should be decided by considering the concept of sustainable and environmentally sound development by taking into account various aspects including social, economic and environmental.