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Rapid urbanization in major cities has led to the decreasing availability of green spaces, exacerbating urban challenges such as the Urban Heat Island (UHI) effect, high energy consumption in buildings, and air pollution. In response, green architecture innovations like green roofs and vertical farming present opportunities for reducing carbon footprints and improving urban sustainability. This study explores the potential for life-cycle carbon footprint reduction through the integration of green roofs and vertical farming systems in high-rise buildings, focusing on energy savings, environmental impact, and air quality improvements. Using Life-Cycle Assessment (LCA) methodology, the research evaluates carbon emissions reduction, operational energy savings, and ecosystem benefits from different building scenarios. Simulation models were developed for conventional high-rise buildings and those incorporating green roofs and vertical farming. EnergyPlus, SketchUp, and SimaPro software were used for energy consumption calculations and carbon emissions modeling. The study analyzes various intervention scenarios-baseline (no vegetation), green roof only, vertical farming only, and a combined system-based on tropical climate data from cities like Jakarta, Surabaya, and Kuala Lumpur. Results reveal that the integration of both green technologies significantly reduces cooling demand, lowers CO₂ emissions, and improves urban microclimates by reducing surface temperatures and enhancing air quality. Policy recommendations and guidelines for adopting green construction practices in tropical regions are provided, alongside suggestions for future research on optimizing these technologies, conducting economic modeling, and evaluating multi-building approaches at a district scale.

Energy is an essential requirement for civilisation, and due to the rapid expansion of the population in Indonesia, energy consumption has also experienced a substantial rise. Hence, it is crucial to utilise and enhance the capacity of sustainable energy resources present across the archipelago, including geothermal, hydropower, wind, bioenergy (including bioethanol, biodiesel, and biomass), ocean current energy, nuclear, and solar energy. Indonesia's energy strategy is currently focused on the use of renewable energy to decrease carbon emissions. This is backed by legislation that promotes the development of renewable energy programs under the National Energy strategy. This article evaluates the regulatory factors associated with the advancement of new renewable energy and its influence on the establishment of sustainable energy infrastructure in Indonesia. This research provides a comprehensive legal analysis of the changing regulations surrounding renewable energy. It examines how these regulations affect the establishment of sustainable energy infrastructure and investigates the current legal consequences. The study aims to understand how the regulatory framework can either support or impede the progress of renewable energy development. This research offers valuable insights on the role of legislation in facilitating the shift towards sustainable energy sources in Indonesia. It also sheds light on the potential obstacles and advantages that may arise during this transition.

This paper was presented based on a clustering method to minimize power consumption in underwater wireless sensor networks. The main objective of the proposed method is to choose an energetic path. The proposed clustering scheme operates with the round, so that each round consists of two phases the cluster head selection and the data transmission. After the end of each round which is called a tround, the cluster head selection phase begins again. The obtained simulation results showed that the efficiency of the proposed method was better than L2ABF in terms of energy consumption and end-to-end delay.

Tower 1 at Institut Teknologi Sepuluh Nopember Surabaya is a high-rise building (High Risk Building) in the education and office sectors, experiencing an annual increase in energy consumption. Therefore, regular and thorough energy audits are necessary to save electricity consumption and ensure that usage aligns with the Indonesian Ministry of Energy and Mineral Resources Regulation No. 13 of 2012. An energy audit is a method to calculate the energy consumption level of a building and determine potential energy savings through energy conservation. The Electrical Energy Consumption Intensity (IKE) is used as a parameter to determine whether the building's energy consumption is efficient or wasteful. The initial energy audit of Tower 1 was conducted quantitatively with on-site measurements over one year, covering the building's electrical system and area. The measurements indicated that the IKE of Tower 1 is 50.86 kWh/m²/year. Subsequently, the total installed electrical energy consumption load was calculated, yielding an IKE of 166.15 kWh/m²/year. Based on the initial energy audit results, energy conservation measures were recommended, including upgrading the lighting system with higher lumen lamps and adjusting air conditioning (AC) to the established standards. Implementing these recommendations resulted in an increased IKE of 176.04 kWh/m²/year, which is still considered efficient compared to the ASEAN-USAID standard of 240 kWh/m²/year.  

This research aims to determine the influence of interest rates, consumption, investment, unemployment and renewable energy on inflation and gross domestic product (GDP) in Indonesia. The variables in this research are Interest Rates, Consumption, Investment, Unemployment and Renewable Energy as independent variables, while the variables Inflation and Gross Domestic Product (GDP) are the dependent variables. The research period is 1993 - 2023. The data analysis technique used is the Simultaneous model, with testing using Eviews 10. Based on the results of the simultaneous analysis, the variables Interest Rate, Consumption and GDP have a positive and significant effect on Inflation. Meanwhile, the Investment Variable does not have a positive and significant effect on Inflation. The Renewable Energy and Inflation variables have a positive and significant effect on GDP. Meanwhile, the unemployment variable does not have a positive and significant effect on GDP.  

This research aimes to find out the perceptions of Senior high school students and their reasons for applying Merdeka Curriculum in English subjects. In completing this qualitative research, the researcher adopted a phenomenological case study approach. Data was collected by distributing questioners to respondents and conducting in-depth interviews with selected students. The data was found by researchers were processed using thematic analysis techniques. This research involved senior high school students from 5 different schools in Medan, North Sumatra, totaling 38 students as respondents. From this study, researchers found five perceptions related to the application of the Merdeka Curriculum in English language subjects, namely a. Merdeka Curriculum provides freedom in learning; b. students are more active and creative, c. concise and simple material; d. energy consumption that is quickly drained or tiring; and e. Merdeka Curriculum is better than Curriculum 2013. In addition, five reasons were found from the students' perceptions, namely a. freedom to choose appropriate learning methods and strategies; b. students do a lot of activities in learning; c. the material in English books is more on points with minimal explanation; d. the assignments given are many and concurrent; and e. The Merdeka Curriculum is more student-centered than the 2013 Curriculum. Furthermore, a detailed explanation related to this will be described in detail in this study.    

The continued advancements in Internet of Things (IoT) and Machine Learning (ML) technologies have led to their adoption in various domains including in industries for predictive maintenance among other applications. Given the resource constraints of IoT devices, they cannot process the resource-intensive ML algorithms hence data collected by the devices are first sent to the cloud where the algorithms are hosted for processing and inference with the results being sent back to the devices for action and/or notifications. The need to transmit data to the cloud for processing leads to increased costs, energy consumption, and high latencies affecting the implementation of the solution. Interestingly with Tiny Machine Learning (TinyML), it is possible to develop algorithms enabling edge inference on resource-constrained devices. From existing review papers, the researchers were not able to find, a comprehensive review with a focus on this area showing the need for a targeted review that can shed light on how TinyML can be tailored for predictive maintenance tasks in industries. This study therefore presents a systematic literature review of the application of TinyML in predictive maintenance in industrial settings. TinyML overview and its benefits are presented, a TinyML process flow is proposed and various use cases and their classifications have been presented. Through this exploration, the study shows the critical need for TinyML-driven solutions in predictive maintenance, identifies the existing challenges, and proposes a roadmap for future research.

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 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.

Changes in social conditions and lifestyle change people's consumption patterns, so there is a need for innovation in making food by utilizing vegetables to increase nutritional complexity. Stuffed Chicken is a processed product made from the main ingredient of chicken meat with the addition of vegetable puree. These problems became the objectives of this study to determine: 1) Sensory quality results which include shape, color, taste, aroma, texture and level of preference; 2) Nutritional content which includes energy, carbohydrates, protein, fat, fiber, and vitamin A; 3) Selling price of stuffed chicken per 250 gram package. This research used observation method through a sensory quality test with 30 panelists. Data result were processed with a single anova test followed by a Duncan’s test. Nutritional content (energy, carbohydrate, protein, fat, fiber, and vitamin A) was tested in the laboratory. The results showed: 1) the addition of vegetable puree proportion (carrots, sweet corn, and peas) affects the criteria of taste and aroma, while the criteria of shape, color, texture and level of liking have no significant effect. The nutritional content of stuffed chicken is energy of 294.85 kcal, carbohydrates 42.90g, protein 14.96g, fat 7.24g, Fiber 3.23g, and vitamin A 67.10 μg. The selling price of stuffed chicken is known to be Rp.36,500 per package weighing 250 grams.

Green energies are more adapted to the environment, and their production and production are less polluted. Moreover, since there is no end to this energy category, green energies are taking on an ever-increasing share of the world's energy supply system, even in countries with fossil fuels. The current study aims to examine the factors affecting green energy consumption in Group 7 countries using a table-based data approach (Panel data quantile regression) from 1996-2022. The study examined how financial impacts such as the Good Governance Index (GGI), Human Capital (MYS), Trade Openness (TO), Income (GDP), Inflation (INFL) and Non-Financial Fixed Capital Formation (GFCF) are affected. Thus, assuming the stability of other factors, by an increase of one unit in GGI, MYS, TO, GDP, INFL, and GFCF, green energy consumption (GEC) increases between 0.24 and 0.59%, 2.46 to 7.12%, 0.98 to 1.53%, 0.73 to 1.03%, 0.42 to 0.62% and 1.07 to 1.73%. Given the positive and meaningful impact of the Good Governance Index and Human Capital on green energy consumption, it is proposed to double attention to the quality of laws and regulations, the rule of law, and the design and enforcement of laws in protecting the environment and developing more clean energies. The results can be an outstanding lesson for creating and developing countries.  

Snack bars are bar-shaped products that contain carbohydrates and proteins from flour, nuts, dried fruits, and other ingredients that are processed into whole pieces and combined into one ready for consumption. Snack bar innovation with the proportion of grated coconut and tuna pindang. The purpose of this research is to meet the nutritional needs of the community by fulfilling daily protein and can be an entrepreneurial product so that it is necessary to know the organoleptic quality, nutritional content and selling price of the product. The methodology in the research is an experimental approach with quantitative analysis to fulfill the sensory quality and nutritional content of snack bars. The best proportion of snack bars with different proportions of grated coconut and pindang ikan tongkol from the sensory test was obtained from the 50:50 ratio with characteristics of rectangular shape; yellowish brown color with white spots from rengginang; grated coconut and pindang ikan tongkol aroma; crunchy texture; and taste of grated coconut and pindang ikan tongkol. Laboratory analysis of the nutritional content of the best snack bar per 100 grams contained 17.15% protein, 11.55% water content, 1.05% ash, 3.14% fat, 284.10kcal/100g energy, 64.72% carbohydrate, and 2.42% crude fiber. The selling price of snack bars with the proportion of grated coconut and tuna pindang with a percs weight of 15 grams is known to be IDR 3,000.  

As electric vehicles (EVs) gain popularity, understanding the demand for EV charging infrastructure becomes essential for effective urban planning. This paper develops mathematical models to predict EV charging demand based on various factors, including population density, traffic patterns, and energy consumption data. The models provide valuable insights for city planners regarding the optimal placement and capacity of EV charging stations to meet future demand, facilitating the transition to a more sustainable urban environment.

Data transmission efficiency is crucial in wireless sensor networks (WSNs), where limited battery life and signal reliability are significant concerns. This research explores various machine learning algorithms aimed at optimizing data transmission in WSNs, focusing on reducing energy consumption and enhancing network stability. Simulation results indicate marked improvements in efficiency, making WSNs more viable for long-term deployment across diverse environments.

This research aims to determine the effect of the government expenditure model and green growth based on green energy consumption in Indonesia which has 4 variables, namely carbon emissions, energy consumption, economic growth and government expenditure. The analytical method used in this research is the Vector Auto Regression (VAR) model with the Impulse Response Function (IRF) test, Forecast Error Varince Decomposition (FEVD), stationarity test, cointegration test, structural lag stability test, and optimal lag length test. . The results of the Vector Autoregression research using lag 1 as the basis show the contribution of each variable to the variable itself and other variables. The results of the Vector Autoregression analysis also show that the past variable (t-1) contributes to the current variable, both the variable itself and other variables. From the results of the analysis, there is a reciprocal relationship between one variable and another variable. Response Function Analysis shows the response of other variables to changes in a variable in the short, medium and long term, and it is known that the stability of the response of all variables is formed within a period of 5 years or the medium term. and long term. Variance Decomposition Analysis shows that there are variables that have the largest contribution to the variable itself in the short, medium and long term, such as CO2, EC, and GOV. Meanwhile, another variable that has the greatest influence on the variable itself in the short, medium and long term is CO2 which is strongly influenced by GOV and GDP.

The purpose of this study is to determine the effect of energy consumption on economic growth in Indonesia, as well as to investigate stakeholder perceptions and attitudes regarding energy consumption and its impact on economic growth. The research method employed is a descriptive qualitative approach based on literature, observation, and media studies involving stakeholders including government officials, experts, academics, and the general people. The study's findings indicate that increased domestic energy use can boost economic growth. Increased energy consumption promotes the expansion of home economic industries. Second, stakeholders have diverse perceptions and attitudes regarding energy usage and its impact on economic growth. Some stakeholders think that energy consumption is vital for economic progress, while others claim that excessive energy consumption has a negative impact on environmental and economic sustainability. The importance of collaborating with all stakeholders to promote energy consumption and Indonesian economic growth. The study focuses on stakeholder views of energy usage, which has an impact on economic growth. The study suggests that more research on energy usage should be conducted in order to broaden and fully improve economic growth. This research also assists to offering insights and true pictures of stakeholders regarding the conditions of energy use and economic growth.

The government's policy to increase the price of subsidized fuel in September 2022 has affected the economy in Indonesia. Tulungagung Regency as one of the regions in East Java also felt the impact of this policy. The increase in the price of subsidized fuel makes household consumption expenditure also increase. This study aims to fill the gap in the literature and to determine the effect of the increase in the price of subsidized fuel oil (BBM) on household consumption expenditure in Tulungagung Regency. The approach used in this research is a quantitative approach with the type of research used is associative research. The data source used in this research is secondary data derived from the official websites of the Ministry of Energy and Mineral Resources, Pertamina and BPS Tulungagung Regency in the period 2008-2023, as well as other supporting references such as books, research journals, articles, theses, and news. Data collection techniques in this study are literature studies and documentation with data analysis techniques using simple linear regression. The results of this study indicate that there is a significant influence between the increase in subsidized fuel prices on household consumption expenditure in Tulungagung Regency, with a coefficient of determination of 74,7%.

This study explores the use of graphene-based nanofluids in enhancing the performance of solar-powered desalination systems. A laboratory-scale desalination system was developed to simulate the evaporation process, powered by solar energy, with the integration of graphene-based nanofluids to improve thermal efficiency. The experimental setup measured evaporation rates, energy consumption, and temperature profiles under varying solar radiation conditions (400–800 W/m²). Results revealed that the system with nanofluids demonstrated up to a 35% increase in evaporation rates compared to the baseline system without nanofluids, indicating enhanced heat transfer properties. Moreover, energy consumption was reduced by up to 20%, highlighting the improved energy efficiency of the system with nanofluids. The system with nanofluids exhibited higher temperatures in the evaporator, confirming more effective thermal utilization. Statistical analyses, including t-tests and regression analysis, confirmed the significant impact of nanofluids on both evaporation rates and energy consumption. This study demonstrates that graphene-based nanofluids offer a sustainable and energy-efficient solution for solar-powered desalination, particularly in areas with abundant solar radiation. The integration of nanofluids not only enhances the efficiency of the desalination process but also reduces operational costs, making it a promising alternative for addressing water scarcity in a sustainable manner. Further research is needed to optimize nanofluid formulations and assess their long-term feasibility for large-scale applications.

This study presents the development of a smart grid system designed to efficiently integrate renewable energy sources into the existing electrical grid. The proposed system employs advanced communication technologies and real-time data analytics to optimize energy distribution and consumption. A simulation model was created to evaluate the system's performance under various scenarios, demonstrating significant improvements in energy efficiency and reliability. The findings indicate that the smart grid system can enhance the stability of the electrical network while promoting the use of sustainable energy sources.

Air pollution and greenhouse gas emissions produced by motorized vehicles are one of the main problems in big cities. This encourages the development of more energy efficient and environmentally friendly vehicles, such as electric vehicles. This journal discusses the development of energy-efficient electric vehicles for urban transportation, with a focus on battery technology, vehicle design, and charging infrastructure. This research aims to develop energy-efficient electric vehicles that can meet city transportation needs. This research focuses on several aspects, namely: Lightweight and aerodynamic vehicle design: This design can reduce energy consumption and increase vehicle efficiency. Efficient propulsion system: An efficient propulsion system can increase mileage and reduce exhaust emissions. Advanced battery technology: Advanced battery technology can increase energy density and battery life. It is hoped that the results of this research will produce energy-efficient electric vehicles that are environmentally friendly and can help reduce air pollution in big cities.