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The construction industry is one of the sectors that has a significant impact on environmental damage due to high energy consumption, exploitation of natural resources, and carbon emissions. In response to these challenges, this study aims to analyze the potential for implementing sustainable construction materials to support the development of green infrastructure. Using qualitative methods through literature studies, documentation, observation, and in-depth interviews, this study evaluates the advantages, challenges, and economic and environmental impacts of various innovative materials, such as foam glass, green wall systems, bamboo composites, eco-cement, and mycelium-based blocks. The results show that these materials are able to reduce carbon emissions, increase building energy efficiency, and offer long-term cost savings. Mycelium-based blocks, in particular, are recorded as the most effective material in reducing construction costs by up to 25% and CO₂ emissions by 250 kg per project. However, the implementation of sustainable materials in Indonesia still faces obstacles such as cost, material availability, and technical regulations. Therefore, synergy is needed between the government, academics, and industry in encouraging research, preparing technical standards, and public awareness campaigns to expand the adoption of environmentally friendly materials in the national construction sector.

This study presents the development and evaluation of an automatic passenger counting system for public buses using the YOLOv8 algorithm based on Convolutional Neural Networks (CNN). Accurate passenger counting plays a crucial role in optimizing public transportation operations, as it enables effective capacity management, reduces operational costs, and improves overall passenger comfort. Conventional manual counting methods are often inefficient, time-consuming, and prone to human error, particularly in high-density urban transportation environments. Therefore, an automated and intelligent solution is required to support real-time monitoring and operational decision-making. The proposed system employs deep learning-based object detection to identify and count passengers from video streams captured by cameras installed inside buses. Two camera positions, namely front and rear views, were evaluated to assess system performance under different visual conditions. The experimental results show that the system achieves high detection accuracy in the front camera view, with a confidence score of 0.82, indicating reliable performance in scenarios with minimal object occlusion. In contrast, the rear camera view demonstrates slightly lower accuracy, with a confidence score of 0.76, mainly due to increased object overlap and variations in lighting conditions. These findings emphasize the importance of appropriate camera placement and environmental consideration in improving detection reliability. In addition, the implementation of the proposed system enables real-time monitoring of passenger flow, which supports dynamic scheduling, demand-based route planning, and efficient fleet management. Accurate passenger data allows transportation operators to optimize service allocation, reduce congestion, and enhance overall service quality. Overall, this study contributes to the development of intelligent transportation systems by demonstrating the practical applicability of deep learning-based passenger counting solutions. The proposed approach offers strong potential for real-world deployment in smart city environments, supporting the creation of more sustainable, efficient, and passenger-oriented public transportation services.

Every business requires effort to start thinking about its business. Most businesses have a primary goal of making a profit, but now, they must         shift to thinking comprehensively about other aspects beyond profit, namely people. Preparing a cost budget is a crucial component in a sustainable business, because this business does not only focus on financial profits, but also pays attention to social and environmental impacts. Challenges in budgeting for business sustainability include high initial costs for environmentally friendly technologies, measuring non-financial impacts, rapid regulatory changes, and limited resources. This article discusses these challenges and offers practical solutions, such as a phased approach, leveraging government incentives, and collaboration with sustainable partners. With the right strategy in place, businesses can strike a balance between profitability and immortality goals, building a strong foundation for the long term.

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.

The plan for the construction of the Kra Canal has emerged since 1977, initiated by King Narai. The Kra Canal will connect the Gulf of Thailand and the Andaman Sea, making it an alternative to the congested and vulnerable Strait of Malacca. Despite its great potential and benefits and having been planned for a long time, the canal has yet to be built. This paper aims to discuss the reasons behind the difficulties in constructing the Kra Canal. The method used in this paper is qualitative descriptive by conducting library research. The theories applied are Security Dilemma and Maritime Diplomacy. The data used are secondary data sourced from books, journals, credible official news, and relevant trustworthy websites. The findings indicate that there are complex geopolitical and economic aspects. Major challenges include high costs, risks of damage, environmental concerns, and Thailand’s unstable internal political situation. The presence of the Kra Canal has the potential to complicate the security situation in the Southeast Asian region with the involvement of major powers such as China, India, and the United States.

Adopting the knowledge of total quality management, which is one of the vital factors in improving the quality of products and services by adopting continuous methodologies for development and improvement when integrating this knowledge with green costs, which focus on measuring the cost of the product while taking into account the environmental impacts, and the importance of the study lies in the fact that the phenomenon of environmental pollution and global warming has become a topic of global interest from the political, economic and financial aspects, and most industrial companies in Sudan do not care enough about measuring green costs. This study aims to provide a scientific theoretical framework by identifying the criteria and rules for determining and measuring green costs and obtaining practical results from the study for the possibility of applying them in Sudanese industrial companies. One of the most important results reached by the study is that adopting the culture of total quality management in measuring green costs improves the indicators of growth and continuity in industrial companies in Sudan.

The use of fossil energy in the maritime industry has become a major source of carbon emissions and vulnerability to fuel price fluctuations. In an effort to overcome these challenges and move towards a more sustainable future, the use of solar energy has emerged as a significant potential solution. Batam City, with its strategic location and rapidly growing maritime interests, has great potential to adopt solar energy in its maritime operations. This study aims to investigate the potential and challenges of developing solar-based sustainable electrical energy in the maritime sector in Batam City. We identify the most suitable locations for solar panel installations, explore efficient energy storage technologies, and analyze reliable maritime grid system integration. Additionally, we discuss personnel training and environmental awareness efforts necessary to support this transition. This study also reviews the role of policy and regulation in encouraging investment in solar energy and encouraging collaboration with relevant stakeholders. The research results show that the use of solar energy in maritime governance in Batam City can reduce carbon emissions, increase energy security and reduce operational costs in the long term. This study provides valuable insights for decision making and strategic planning for local governments, industry players and academic institutions interested in realizing sustainable and future-oriented maritime governance.    

Purpose– The objective of this research is to develop an integrated operational management model for Smart & Green Villages (SGVs), combining the principles of smart villages and green villages to promote sustainable, inclusive, and adaptive rural development. This research emphasizes operational efficiency, environmental sustainability, digital technology utilization, and community participation as key pillars. Design/Methodology/Approach – A mixed-methods approach was adopted, involving surveys of villages in Indonesia that have begun adopting SGV principles, in-depth interviews with village officials and key stakeholders, and case studies of villages that have successfully implemented smart technologies and environmentally friendly practices. Data triangulation was applied to strengthen the validity of the findings. Findings – The study shows that integrating functional organizational structures, optimizing digital technologies such as the Internet of Things (IoT) and village information systems, and building participatory community mechanisms significantly improve public service delivery, reduce operational costs, enhance environmental management, and strengthen socio-economic well-being. The study also identified new operational variables, including cost-effective innovation, digital local governance, inter-village shared resources, and socio-environmental audits as a multidimensional evaluation tool. Practical implications – These findings provide a practical framework for policymakers, local governments, and community leaders to implement and evaluate SGV. The multidimensional indicators proposed in this study enable continuous monitoring and adaptation of village operations to local conditions and resource constraints. Originality/Value – This study is one of the first to propose a concrete and replicable SGV operational management model by introducing new variables and multidimensional evaluation indicators. It enriches the theoretical discourse on smart and green village integration while offering actionable strategies for sustainable rural governance.

Climate change is increasingly recognized as a significant financial risk factor, particularly in developing countries where financial systems are often less resilient to environmental shocks. This study explores the relationship between climate-related financial risks, Foreign Direct Investment (FDI), and economic stability in developing nations. It highlights how both physical risks, such as extreme weather events (e.g., floods and droughts), and transition risks, including regulatory changes and shifts toward a low-carbon economy, deter FDI and contribute to economic volatility. The findings show that developing countries, which are more vulnerable to these risks, experience reduced FDI inflows due to the increased costs of adaptation and the potential for operational disruptions. Additionally, the study finds that countries with weaker financial institutions and governance structures are more susceptible to the economic instability induced by climate risks. The analysis suggests that climate risk mitigation strategies, such as strengthening financial sectors, improving governance, and implementing effective climate policies, can help reduce these risks and create a more stable investment environment. The research also identifies gaps in the literature, particularly the combined effect of climate risks and financial instability on FDI, which warrants further exploration. The study calls for more comprehensive research, particularly focusing on regional case studies and sector-specific impacts, to guide policymakers in fostering a climate-resilient economic environment that attracts sustainable foreign investment.

The development of digital technology and the need for energy efficiency are two important elements in advancing the village economy, especially through the Micro, Small and Medium Enterprises (MSME) sector. The digitalization of MSMEs opens up great opportunities for village business actors to expand markets, increase productivity and integrate technological innovation in their operations. Meanwhile, electricity efficiency not only has an impact on reducing production costs, but also contributes to environmental sustainability. This research aims to analyze the impact of digitalization and electricity efficiency on village economic progress through the development of MSMEs. This study examines how digitalization can increase market access and competitiveness of MSMEs in villages, as well as how implementing energy efficiency practices can reduce the burden of operational costs faced by business actors. Apart from that, this research also discusses the challenges faced by MSMEs in villages in adopting digital technology and energy efficiency practices, as well as solutions that can be implemented to overcome these challenges. The research results show that the integration of digitalization and electricity efficiency can make a significant contribution to improving the performance of MSMEs in the village, which in turn has a positive impact on improving the overall village economy. Successful implementation requires strong support from governments, technology providers and local communities to ensure the sustainability of these initiatives

Waste is a serious problem in Indonesia, including in Medan Belawan Regency. The Waste Bank Program is presented as a solution for waste management and community economic empowerment. This study aims to determine the role of the Waste Bank in community income. The research method used is descriptive statistics presented in the form of frequency distribution tables, histograms, steam and leaf (stem and leaf diagrams) or box plots (box line diagrams). Data collection was carried out through interviews, questionnaires and observations. The data analysis technique used is statistical analysis. The Waste Bank Program in Medan Belawan Regency has provided economic, social and environmental benefits. Economic benefits include increasing community income, creating jobs, and saving waste transportation costs. Social benefits include increasing public awareness of the importance of good waste management, and increasing public concern for the environment. Environmental benefits include reducing rubber production, reducing environmental pollution, and preserving natural resources. The Waste Bank Program in Medan Belawan Regency is one example of the application of an effective and sustainable green economy concept. This program can be a model for other waste management programs in Indonesia.

This research aims to determine the application of environmental cost accounting in the Super Jaya tofu factory industry.   This research uses qualitative methods. In this research, the data sources used are primary data and secondary data. The data collection technique uses observation, interviews and documentation. By conducting direct interviews with the owners of the Super Jaya tofu factory industry. The data analysis technique uses data collection, data reduction, data presentation, conclusions and data verification. The research results obtained from the application of environmental cost accounting are still not effective because they have not prepared financial reports and have not implemented cost accounting in presenting financial reports because the costs traced are only general costs related to the tofu production process. Such as raw material costs, labor costs, general capital costs and special capital costs, while the costs for waste management are only labor costs for the filtering section and environmental cleaning equipment costs.

Garbage is a serious problem in Indonesia, including in Medan Belawan District. The Rubbish Bank Program is present as a solution for Rubbish management and economic empowerment of the community. This research aims to analyze the concept of green economy through the Rubbish Bank program in Medan Belawan District.The research method used is qualitatively descriptive with a case study approach. Data is collected through observation, interview, and documentation. The data analysis technique used is thematic analysis. The Rubbish Bank Program in Medan Belawan District has provided economic, social, and environmental benefits. Economic benefits include increased community income, job creation, and savings in Rubbish transportation costs. Social benefits include increasing public awareness about the importance of good Rubbish management, and increasing public concern for the environment. Environmental benefits include reducing Rubbish generation, reducing environmental pollution, and preserving natural resources. The Rubbish Bank Program in Medan Belawan District is an example of the implementation of an effective and sustainable green economy concept. This program can be a model for other Rubbish management programs in Indonesia.

The artisanal shipping industry in Indonesia, particularly in Batam and Tanjungpinang, has experienced significant stagnation and decline due to the aging fleet and fleet extinction. The background of this study is based on the importance of the artisanal shipping industry in supporting the local and national maritime economy, as well as the major challenges facing the sector in maintaining efficient and sustainable operations. The purpose of this research is to analyze the juridical factors that cause the non-development of the people's shipping industry in the area, as well as identify legal measures that can support the development of this industry.  The research method applied combines normative and empirical approaches through case studies in Batam and Tanjungpinang. Data was collected through in-depth interviews with boat owners, fishermen, government officials, and maritime law experts, as well as analysis of relevant documents. The research integrates John Austin's positive law theory, Lawrence M. Friedman's legal system theory, and systems theory to analyze interactions within the maritime legal system. The results show that burdensome regulations, lack of access to financing, declining competitiveness, as well as environmental impacts and socio-economic factors are the main causes of the underdevelopment of the community shipping industry. Strict regulations and high operational costs make it difficult for small boat owners to comply with regulations, while limited access to financing hinders fleet rejuvenation and upgrades. An aging and inefficient fleet lowers the industry's competitiveness, and environmental pollution from old vessels worsens operating conditions. Suggestions include revising regulations to simplify and reduce administrative burdens, providing accessible financing and subsidy schemes, improving port infrastructure, and training and certification programs for ship owners and crew. In addition, international cooperation is also needed to adopt technology and best practices in the shipping industry. The implementation of these recommendations is expected to support the development of the small-scale shipping industry in Batam and Tanjungpinang, improve competitiveness, and make a greater contribution to Indonesia's maritime economy.    

The increasing use of conventional medical supplies has led to significant environmental challenges due to waste accumulation and the chemical exposure risks faced by healthcare workers. Despite ongoing efforts to adopt environmentally friendly materials, there is a lack of comprehensive studies that combine Life-Cycle Assessment (LCA) with direct monitoring of worker exposure. This study aims to compare the environmental and health impacts of biodegradable versus conventional medical supplies by assessing their life-cycle stages, energy consumption, carbon footprint, and hazardous exposure risks. A novel comparative approach was adopted, integrating LCA to evaluate raw material extraction, production, usage, and disposal processes, alongside monitoring the occupational exposure to chemical residues from medical supplies. The results indicate that biodegradable medical supplies reduce environmental footprint by approximately 40%, lower energy consumption, and generate less waste compared to conventional plastics. Additionally, the study shows that biodegradable materials pose a significantly reduced risk of chemical exposure to healthcare workers, offering a safer alternative. However, biodegradable materials present limitations, such as availability, durability, and higher initial costs, which need to be addressed for widespread implementation. The findings emphasize the importance of integrating sustainable practices in healthcare settings, offering actionable insights for hospital management and regulatory bodies. Future research is recommended to further explore the cost-effectiveness of biodegradable materials, conduct large-scale trials, and investigate alternative material types. This study contributes to the growing body of knowledge on environmental sustainability and occupational safety in healthcare, providing a valuable framework for future policy and operational decisions.

Urban sustainability presents considerable challenges, especially in the management of energy and wastewater treatment systems. Rapid urbanization intensifies the demand for water and energy, leading to increased pressure on existing infrastructure and resources. Wastewater management is essential for urban water sustainability, as untreated wastewater poses significant environmental and health risks. Moreover, wastewater treatment processes are energy-intensive, complicating the balance between environmental goals and energy consumption. To address these challenges, integrating decentralized renewable energy systems, such as solar, biogas, and wind, with wastewater treatment plants (WWTPs) offers a promising solution. This integration can reduce reliance on centralized power grids, enhance energy self-sufficiency, and promote sustainability. The application of Circular Economy principles, which emphasize resource recovery and system decentralization, is key to this integration. However, technological, economic, and regulatory barriers exist, limiting widespread adoption. This study explores the feasibility of coupling renewable energy with WWTPs, focusing on energy flow simulations, environmental impacts, and economic evaluations. The results indicate that integrating renewable energy can significantly reduce greenhouse gas emissions, lower operational costs, and improve the resilience of urban water systems, making it a viable option for sustainable urban development.

The basic materials sector company is one of the sectors that is expected to have bright prospects in the future and is one of the sectors that has a sizable role in contributing raw materials. If we look at the stock prices of several basic materials companies, they have experienced erratic increases and decreases. The high and low stock prices are influenced by how the company's financial performance is. The data used in this research is secondary data, namely in the form of annual reports of companies in the basic materials sector for 2017-2021. This research is descriptive with a quantitative approach. The statistical method used is simple regression analysis, panel data regression method, F test, t test, and analysis of the coefficient of determination. The results showed that environmental costs had a partial positive and significant effect on the financial performance of basic materials sector companies listed on the Indonesian Sharia Stock Index. Environmental performance had a partial positive and significant effect on financial performance in basic materials sector companies listed on the Sharia Stock Index. Indonesia. Then environmental costs and environmental performance have a positive and significant simultaneous effect on financial performance in basic materials sector companies listed on the Indonesian Sharia Stock Index.

As environmental concerns grow, companies are increasingly adopting green innovation and sustainable business practices to meet both regulatory requirements and consumer demand. This paper investigates the drivers of green innovation in Indonesian manufacturing firms and assesses its impact on environmental performance. Using survey data from 100 firms, the study finds that government incentives and consumer pressure significantly influence companies' sustainability strategies. However, the research also identifies challenges in implementing sustainable practices, particularly related to costs and limited technical knowledge. Policy implications include strengthening incentives for green technology and creating partnerships for knowledge sharing.

Vehicle electrification is becoming a growing trend in the transportation industry due to environmental concerns. Therefore, various global efforts are being made to develop electric-driven ships using environmentally friendly energy sources such as batteries. In the implementation of electric and solar-powered shipbuilding, there is always the potential for delays in completion. This is very detrimental to shipyard owners and even ship owners because it is not to the initial plan. Shipyard owners and shipowners must bear greater or unexpected costs due to delays in work. Other risks also have the potential to arise when electric and solar-powered ships are completed until operation. Delays in the completion of electric and solar-powered shipbuilding can be caused by various things. Through this research, the risk analysis of the development of the electric and solar-powered ship industry is discussed in terms of several aspects, namely market, legal, technical, socio-economic environmental, and financial aspects.

Environmental accounting, also known as “Green Accounting” or “Evironmental Accounting”, refers to the process by which businesses or companies incorporate environmental costs into their accounting procedures. Environmental costs are the result of actions that have an impact on the quality of the environment, whether financially or not. The aim of this research is to look at the function, application and impact of environmental accounting on environmental and business sustainability. This research method was carried out using a Systematic Literature Review (SLR). This approach is used to examine and review all research. A total of 52 articles were analyzed in this research. Research Results Environmental accounting has a positive impact on a number of factors related to the sustainability of a business entity, especially company performance through the use of social responsibility as a mediator. Research on environmental accounting Even though Indonesia is a strong country, it still needs improvement because there is not much research there and the topics discussed are limited. The results of this research have consequences for environmental management initiatives and actions that are based on green innovation or environmentally friendly principles and can develop further.