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This study aims to evaluate the quality of quail eggs sold in various traditional markets in Kediri City, East Java, Indonesia. The research was conducted from July to September 2024 at several traditional market locations, namely Mrican Market, Campurejo Market, Semen Market, Bandar Market, and Pahing Market. The quality parameters tested include the presence of Salmonella, Total Plate Count (TPC), pH, air cell depth, and shell thickness. The quality testing of quail eggs was carried out at PSDKU UB Kediri. The results of the study show that the quail eggs sold in these markets are safe for consumption, with no Salmonella contamination (0 cfu/ml) and TPC values within safe limits (2.1 x 10³ to 4.4 x 10³ cfu/ml). The pH values of the eggs range from 6.3 to 6.9, indicating good freshness. The air cell depth ranges from 1.54 mm to 2.36 mm, and the shell thickness ranges from 0.19 mm to 0.20 mm, indicating good and consistent physical quality of the eggs. Overall, the quality of quail eggs in the traditional markets of Kediri City can be categorized as good based on the parameters tested.

This study aims to see the effect between energy subsidies and electricity consumption on economic growth in Indonesia. This study uses secondary time series data for the period 2014-2023 with a quantitative approach using the Eviews 12 software analysis tool. The variables in this study are energy subsidies, electricity consumption and economic growth which are analyzed by multiple linear regression methods. The results showed that energy subsidies have a positive and insignificant effect on economic growth, electricity consumption has a positive and significant effect on economic growth in Indonesia. While energy subsidies and electricity consumption simultaneously have no significant effect on economic growth in Indonesia in the 2014-2023 period.

This research analyzes the consumption behavior patterns of the people of Blitar Regency and City in the context of national food efficiency from an Islamic economic perspective. The aim of the research is to identify people's consumption behavior patterns, the food efficiency strategies implemented, and the obstacles faced in national food efficiency efforts. The research method used is a descriptive qualitative approach with data collection techniques in the form of in-depth interviews, observation and documentation. The research results show that the consumption patterns of Blitar people tend to shift from staple food to non-food as prosperity increases. Food efficiency efforts are carried out through increasing production at low costs and optimizing income. However, there are obstacles in the form of uneven efficiency in the production to consumption chain. This study recommends increasing public awareness to avoid wasting the implementation and concept of maslahah in consumption patterns according to Islamic teachings.

The selection of agricultural and plantation products often relies on human perception of fruit color. Manual identification through visual observation has several drawbacks, such as time consumption, fatigue, and varying perceptions of quality. Digital image processing technology enables automatic sorting of products. This study applies the Perceptron learning method to identify tomato ripeness. Tomato images are captured using a webcam, analyzed through color histograms, and identified using artificial neural networks. The identification success rate reaches 43.33%, with outputs categorized as Unripe (10%), Half-Ripe (6.66%), and Ripe (26.66%).

The increasing consumption of short-form video content, such as TikTok, Instagram Reels, and YouTube Shorts, has raised concerns regarding its impact on cognitive functions, particularly short-term memory. This study aimed to examine the effect of short duration video exposure on short-term memory performance among students at Yayasan Irtiqo Kebajikan. An experimental method with a two-group design was employed, consisting of an experimental group that watched short duration videos for 180 seconds and a control group that received no video exposure prior to the memory test. The participants were 40 students selected through random sampling. Short-term memory was measured using the ME Test, a subtest of the Intelligenz Struktur Test (IST), which assesses the ability to recall a series of words. The results of statistical analysis indicated a significant difference between the experimental and control groups (p < 0.05), with the experimental group demonstrating lower short-term memory scores. These findings suggest that exposure to short-form video content may negatively affect individuals ability to store and process information in short-term memory, highlighting the importance of managing digital media consumption among children and adolescents.

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

This study investigates optimal retrofit strategies for buildings in tropical climates, focusing on energy efficiency, thermal comfort, and indoor air quality (IAQ). Given the unique challenges of high temperatures, humidity, and energy demands in tropical regions, traditional retrofitting methods often fall short of achieving a balance between these critical factors. By employing a multi-objective optimization approach, this research identifies the most effective combination of retrofit solutions, including insulation, natural ventilation, and high-performance window treatments. The results show that the proposed retrofit strategy significantly reduces cooling energy consumption, while maintaining or improving occupant comfort and IAQ. Insulation, particularly external insulation, proved to be the most effective in reducing heat transfer, while natural ventilation strategies and advanced materials further contributed to improving thermal regulation. The study demonstrates that integrating passive and active retrofit measures, tailored specifically to tropical climates, leads to optimal building performance. The multi-objective optimization algorithm (NSGA-II) allowed for the generation of Pareto-optimal solutions, offering a set of trade-offs between energy efficiency, thermal comfort, and IAQ. These findings are particularly relevant for policymakers and building professionals seeking sustainable retrofit solutions in tropical regions. The study also highlights the importance of integrating energy efficiency and IAQ considerations in retrofit strategies to avoid compromising occupant health. Further research is recommended to explore the integration of advanced materials, such as phase change materials (PCMs), and to enhance IAQ management in retrofitted buildings, ensuring long-term sustainability and occupant well-being in tropical environments.

The global clean water crisis is exacerbated by significant losses in water distribution networks (WDNs), resulting in inefficient use of both water and energy resources. Traditional methods of leak detection and pressure management often fail to address these inefficiencies, leading to substantial water wastage and high operational costs. This research aims to design a sustainable, smart water distribution system using advanced technologies such as Machine Learning (ML) for leak detection and automated pressure control. The system employs real-time monitoring through IoT sensors, which continuously gather data on water pressure, flow rates, and other critical parameters. This data is analyzed using various ML algorithms, including supervised and unsupervised learning models, to detect anomalies indicative of leaks. Additionally, the system integrates automated pressure control mechanisms that dynamically adjust pressure to prevent over-pressurization, reducing both water loss and energy consumption. By combining leak detection and pressure control, the proposed system offers a more efficient, sustainable solution to water resource management compared to traditional methods. The expected outcomes include a significant reduction in water loss, enhanced energy efficiency, and improved water service quality. However, the implementation of such a system in rural or small-town infrastructure faces challenges, including sensor maintenance, algorithm reliability, and regulatory issues. A cost-benefit analysis suggests that while the initial investment in smart technologies may be high, the long-term savings in water and energy costs outweigh these costs. This study underscores the potential of ML-based systems in enhancing water conservation, operational efficiency, and sustainability in water management.

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.

Background: Prevalence of obese adolescents in Indonesia has increased every year. In 2018, Indonesian adolescents suffering from obesity reached 8.8%. One of the causes of the increasing problem is an imbalance in nutritional intake. Sweet snacks and fatty snacks are popular snacks among adolescents. This snacking habit can risk the incidence of obesity in adolescents. Obesity in adolescents can have various negative impacts on adolescents, both in terms of health, and in terms of mental health which will also affect adulthood. Purpose: This study was to determine the relationship between the habit of consuming sweet snacks and fatty snacks with the nutritional status of adolescents at SMAN 18 Bekasi City. Methods: This study used analytic observational method with cross sectional design conducted at SMAN 18 Bekasi City. The sample of this study amounted to 100 respondents who were taken by consecutive sampling method. Data were collected using a 24-hour food recall questionnaire and analyzed using fisher's exact statistical test. Results: Based on the results of the analysis, the p-value of the variable consumption habits of sweet snacks with nutritional status is 0.771 (p>0.05) with OR 0.744 and the p-value of the variable consumption habits of fatty snacks with nutritional status is 1.000 (p>0.05) with OR 0.948. Conclusion: There is no significant relationship between consumption habits of sweet snacks and fatty snacks with nutritional status among adolescents at SMAN 18 Bekasi City.

Blockchain and cryptocurrencies have changed the way we transact and interact in the digital age. However, the rapid advancement of these technologies has resulted in major environmental impacts. Efficient implementation of blockchain requires the use of large amounts of energy and computing power, with consensus algorithms as the foundation. The purpose of this study is to investigate the environmental implications of blockchain and cryptocurrency implementation, as well as initiatives to mitigate these issues. The type of research is a library study (library research) using a qualitative method, namely by combining, collecting information or previous scientific papers on relevant topics. Along with the growing popularity of cryptocurrencies, the continuous mining process often results in large energy consumption and carbon emissions, sparking concerns about their long-term viability and environmental impact. Based on the results of previous research and research sources, the author found a solution to the problem of high energy consumption from the use of blockchain, namely: Proof of Stake (PoS), Proof of Authority (PoA), Sidechains and Layer-2 Solutions, Hardware Optimization, Implementation of Consensus Algorithms Based on RUST.

Blockchain and cryptocurrencies have changed the way we transact and interact in the digital age. However, the rapid advancement of these technologies has resulted in major environmental impacts. Efficient implementation of blockchain requires the use of large amounts of energy and computing power, with consensus algorithms as the foundation. The purpose of this study is to investigate the environmental implications of blockchain and cryptocurrency implementation, as well as initiatives to mitigate these issues. The type of research is a library study (library research) using a qualitative method, namely by combining, collecting information or previous scientific papers on relevant topics. Along with the growing popularity of cryptocurrencies, the continuous mining process often results in large energy consumption and carbon emissions, sparking concerns about their long-term viability and environmental impact. Based on the results of previous research and research sources, the author found a solution to the problem of high energy consumption from the use of blockchain, namely: Proof of Stake (PoS), Proof of Authority (PoA), Sidechains and Layer-2 Solutions, Hardware Optimization, Implementation of Consensus Algorithms Based on RUST.

This study examines the asbab al-nuzul of Q.S. al-Baqarah (2):220 and its relevance to the concept of orphan care in Islamic thought. Employing a library research method with a qualitative-descriptive approach, the study analyzes the Qur’anic text, classical tafsir works (such as al-Tabari, Ibn Kathir, and al-Qurtubi), authoritative asbab al-nuzul sources (al-Waḥidi and al-Suyuti), as well as contemporary scholarly literature and recent journal articles (2020–2024). The findings indicate that Q.S. al-Baqarah (2):220 was revealed as a corrective response to the excessive caution among the Companions following stern warnings against unjust consumption of orphans’ property. The verse emphasizes the principle of islaḥ (reform and welfare) as the primary criterion for interactions with orphans. A thematic reading, complemented by related verses such as Q.S. al-Nisa’ (4):2 and (4):10 and Q.S. al-Duha (93):9, demonstrates that orphan care in Islam integrates legal, ethical, psychological, and social dimensions, prioritizing dignity and social integration over isolation. Contemporary studies further affirm the relevance of this verse to modern child protection principles, particularly the best interest of the child and family-based care models. This study recommends the development of orphan care policies rooted in family and community-based approaches, guided by trustworthiness, transparency, and holistic welfare.  

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.

The healthcare industry is increasingly relying on medical textiles, particularly single-use items such as surgical gowns, masks, and drapes, to maintain hygiene and prevent infections. However, the widespread use of these single-use textiles raises significant environmental and health concerns. These items are primarily made from non-biodegradable materials, contributing to large volumes of waste and environmental pollution. The production and disposal of single-use textiles also generate carbon emissions, further exacerbating climate change. In response to these challenges, reusable medical textiles have emerged as a more sustainable alternative. Reusable textiles offer several environmental benefits, including reduced resource consumption, lower carbon emissions, and decreased waste generation. Additionally, reusable textiles can improve occupational health by reducing healthcare workers' exposure to harmful chemicals and irritants found in single-use textiles. This study compares the environmental impact and occupational health risks associated with reusable and single-use medical textiles, focusing on factors such as carbon footprint, waste generation, and chemical exposure. Life-cycle assessment (LCA) methodologies were employed to quantify the environmental impacts, while workplace exposure measurements assessed the health risks to healthcare workers. The results indicate that reusable textiles significantly reduce carbon emissions and waste compared to single-use textiles. Furthermore, reusable textiles were associated with lower levels of chemical exposure for healthcare workers. The study concludes with recommendations for healthcare systems to adopt reusable textiles to reduce environmental and health risks, while also suggesting areas for future research on sustainable textile innovations and the integration of reusable systems in healthcare facilities.

Micro, Small and Medium Enterprises (MSMEs) play an important role in the economy, but often find obstacles in coping with risks and adjusting to market changes. Lack of knowledge and skills in risk management can affect the sustainability of a business, especially in the midst of increasingly complicated market changes. This community service activity aims to strengthen the ability of MSME human resources (HR) to manage risks and formulate strategies to adapt to changes in the market. This activity was carried out in Central Cikarang MSMEs using interactive training and mentoring methods. The material presented consisted of an introduction to business risks, strategies to reduce risks, and adjustment actions to changes in the market, which include aspects of technology, regulations, and consumption patterns. The method applied was a combination of theory and case analysis related to the situation of MSMEs in the area. The results of the activity showed that there was an increase in the participants' understanding and awareness of the significance of risk management to maintain business continuity. Participants also gained practical skills in recognizing risks and designing adaptation plans that are suitable for the business situation they face. Through this activity, it is hoped that MSMEs can become stronger in the face of market uncertainty and be able to grow sustainably.

Inflation is a complex economic phenomenon and has a broad impact, including on a country's import policy. When inflation occurs, domestic prices of goods and services increase, thereby increasing production and consumption costs. As a result, producers must increase product prices to maintain profit margins, which can reduce domestic demand and increase demand for imports because local prices become more expensive than imported goods. In addition, inflation also weakens the value of a country's currency, increases the demand for foreign exchange to pay for imports, and worsens the exchange rate. Countries with high inflation rates often experience trade deficits due to a surge in imports and a decline in exports, which in turn depletes foreign exchange reserves because they are needed to pay foreign debt and import goods that are needed but can no longer be exported. To overcome inflation, countries can adjust their strategies. import with more effective measures. Several steps that can be taken include: (1) Optimizing the Import List, namely prioritizing essential goods that are difficult to re-export; (2) Negotiation of Import Tariffs, with the aim of reducing import costs and increasing trade flexibility; and (3) Investment in the Local Manufacturing Sector, in order to reduce dependence on imports and increase domestic competitiveness. With this strategy, import policies can be anticipated and prepared proactively to be more effective in dealing with inflationary conditions. This abstract discusses the impact of inflation on import policies and strategies to deal with it, such as optimizing import lists, negotiating import tariffs, and investing in the local manufacturing sector.

This study aims to examine the Current Ratio, Debt To Equity Ratio, and Total Asset Turnover on profit growth in manufacturing companies in the goods and consumption industry sector listed on the Indonesia stock exchange. The population in this study are manufacturing companies in the goods and consumer goods industry sub-sector listed on the Indonesia stock exchange for the period 2029-2022. The sample in this study is the Financial Statements of Manufacturing Companies in the 2019-2022 goods and consumption industry sub-sector which were taken using purposive sampling method, so that 15 companies were obtained as samples. And using the multiple linear analysis method, classical assumption test, t test (partial test), and the coefficient of determination with the SPSS (Statistical Product and Service Solution) v16 software. Based on the results of the research, it can be concluded that partially the Current Ratio has a positive and significant effect on profit growth, while the Debt to Equity Ratio has a positive and significant effect on profit growth as well as the Total Asset turnover has a positive and significant effect on profit growth in manufacturing companies in the goods and consumer goods industry sub-sector listed on the Indonesian stock exchange for the 2019-2022 period.

Instant noodle consumption in Indonesia has continued to increase in the last few years, which indicates that there are more business opportunities for instant noodle products in Indonesia. Proved by the number of instant noodle brands scattered on the market. This has led to increased competition among companies in order to be the best in the eyes of consumers. Marketing strategies are needed to win competition as well as increase sales, ranging from taste innovations, prices, product quality, promotions, and so on. In this study, game theory is used to investigate the competition between Mie Sedaap, Gaga, and Supermi. Using pure strategy is obtained game value that shows that the optimal strategy for Mie Sedaap is ease of purchase, the optimum strategy for Gaga is packaging strategy, and the optimum strategy for Supermi is price strategy.

School-aged children tend to prefer foods high in sugar, whether when choosing snacks at school or while shopping with their families. Attractive packaging and bright colors often draw children in, making them perceive such foods as tasty. However, excessive and long-term consumption of sugary foods can increase the risk of diabetes mellitus, a condition that is becoming more prevalent among children. Therefore, to mitigate this risk, it is important to provide education on selecting healthy snacks for school-aged children. This education aims to change children's behavior in choosing healthier snacks, which not only affects their health but also ensures they meet their nutritional needs optimally. This educational activity was held on October 11, 2024, at UPT SDN 060881, targeting 50 students. The program began with an explanation of how to choose healthy snacks and the impact of diabetes mellitus on children. The education session lasted for 60 minutes, followed by a question-and-answer session where five students actively asked questions and shared their experiences in choosing snacks in their daily lives.