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Traditional food is a national asset. It not only serves as a source of energy for the community, but also serves as a form of food security, an economic driver, a source of healthy food, and a culture steeped in noble values. The widespread consumption of unhealthy foods by students, especially elementary school students, is one of the reasons for this outreach activity. The health issues surrounding junk food must be addressed by offering healthy alternatives, such as traditional foods. Traditional food is not only related to food, but can also be linked to ethnomathematics, where culture in the form of food is studied from a mathematical perspective. Elementary school students not only consume traditional foods but also interpret these foods in mathematical contexts, such as geometry and numbers. In this way, students will be able to visualize mathematical elements not only when reading math textbooks but also when consuming traditional foods that are part of their daily environment. Despite their traditional nature, students actually enjoy some traditional foods. This is a frequent conflict between the current generation and traditional culture. They better understand how to prepare traditional foods, appreciate the richness of local culture, and develop a love for their culture and homeland.

Early mobilization is an important component of postpartum midwifery care to prevent complications, accelerate physical recovery, and improve maternal comfort after delivery. However, not all mothers are able to perform early mobilization optimally due to fatigue, pain, and decreased energy after delivery. Sukari date palm juice (Extractum Phoenix dactylifera) is known to contain simple carbohydrates, minerals, and bioactive compounds that have the potential to increase energy and accelerate maternal recovery. This study aims to analyze the effect of consuming Sukari date palm juice on accelerating early mobilization of postpartum mothers from day 1 to day 3 in the working area of ​​the Sikui Community Health Center (UPT). The study used a quasi-experimental design with a pretest–posttest control group approach. The study sample consisted of 30 postpartum mothers divided into an intervention group (n=15) and a control group (n=15). Early mobilization ability was assessed based on the time the mother was able to sit, stand, and walk. The results showed that postpartum mothers in the intervention group experienced a significant acceleration in early mobilization compared to the control group, particularly in walking ability, with a time difference of up to 8–12 hours faster. The results of the Mann–Whitney statistical test showed a significant effect of date palm juice consumption on the acceleration of early mobilization (p < 0.001). Thus, Sukari date palm juice has been proven to be effective in accelerating early mobilization and can be recommended as a supporting nutritional intervention in postpartum midwifery care.

PT. Tirta Fresindo Jaya, specifically its Pasuruan plant as the producer of Pucuk Harum Tea beverage, requires a large supply of steam to support various production processes. This steam is used in the process of heating tea leaves, heating water through a heat exchanger, and heating chemicals and water in the cleaning in place (CIP) process. Steam pressure of 5 bar that is flowed to the process equipment will undergo condensation to produce condensate. To separate steam and condensate, steam traps are used, consisting of several types, namely mechanical, thermostatic, and thermodynamic. However, in operational practice, steam trap malfunctions often occur, either in the form of steam leaks that are wasted with condensate or failure to drain condensate from the system. This condition causes a decrease in the efficiency of the steam piping system and increases the workload of the boiler. As a result, fuel consumption and boiler feed water requirements become greater than ideal conditions. Therefore, this study aims to analyze the energy and operational losses caused by steam trap malfunctions, as well as evaluate their impact on boiler system performance and steam utilization efficiency at PT. Tirta Fresindo Jaya Pasuruan plant.      

Background: The development of modern manufacturing systems requires production scheduling strategies that not only improve productivity but also optimize energy utilization. Multi-machine production systems with job-shop configurations exhibit high complexity due to dynamic interactions between machines, job queues, and varying processing times, making conventional scheduling methods less effective in handling changing operational conditions. Objective: This study aims to develop and evaluate a reinforcement learning based production scheduling approach to improve production efficiency while reducing energy consumption in multi-machine manufacturing systems. Methods: This research employs a job-shop based multi-machine production simulation model as the experimental environment. The scheduling problem is formulated as a Markov Decision Process, enabling the implementation of reinforcement learning algorithms, namely Q-learning and Deep Q-Network, to learn optimal scheduling policies through interaction with the simulation environment. Energy consumption parameters are incorporated into the reward function so that the learning agent can consider energy efficiency in the scheduling decision-making process. System performance is evaluated using three main metrics, namely energy consumption, throughput, and makespan. Results: The experimental results show that the reinforcement learning based scheduling approach achieves better performance compared to conventional scheduling methods, resulting in lower energy consumption, higher job completion rates, and shorter production completion times within the multi-machine manufacturing system.

The digital economy and e-commerce are rapidly transforming global markets, driving efficiency, inclusivity, and innovation. However, these developments also produce unintended consequences, particularly regarding environmental sustainability. This study aims to examine the relationship between digital transformation, the expansion of e-commerce, and their impact on carbon emissions and socio-economic outcomes. Using bibliometric analysis and VOS Viewer to map and analyze research trends from leading academic databases, this paper identifies key themes, knowledge clusters, and research gaps in the intersection of digital economy, logistics, and sustainability. The findings indicate that technological advances foster economic growth and greater accessibility but simultaneously contribute to rising energy consumption, logistics intensity, and carbon footprints. These results highlight the dual nature of digitalization as both a catalyst for inclusive development and a driver of environmental pressures. The study argues that an integrated policy framework is crucial to leverage the benefits of digital transformation while mitigating its environmental costs. It emphasizes the importance of green innovation, sustainable infrastructure investment, and inclusive e-commerce practices as key strategies for ensuring long-term socio-economic resilience. Ultimately, the paper contributes to the policy discourse by positioning innovation, inclusivity, and environmental stewardship as complementary rather than competing forces, thereby offering a pathway for future digital economy development that is both equitable and sustainable.

Physical fitness is a fundamental determinant of athletic performance and is strongly influenced by dietary intake and lifestyle behaviors. Adequate protein consumption is essential for muscle development and energy metabolism, whereas smoking has detrimental effects on lung function and aerobic capacity. This study aimed to explore the relationship between protein intake and smoking habits with physical fitness, measured by maximal oxygen uptake, among athletes of Persela Football Academy under-eighteen. A quantitative approach with a cross-sectional design was applied, involving adolescent male athletes. Protein intake was assessed using a semi-quantitative food frequency questionnaire, smoking habits were obtained through structured interviews, and maximal oxygen uptake was measured using the multistage fitness test. Findings revealed that the average daily protein intake of athletes was relatively high, while the mean maximal oxygen uptake score fell within the good category. Correlation analysis demonstrated a significant association between protein intake and aerobic fitness, as well as between smoking habits and aerobic fitness. The results indicate that lower protein intake and higher smoking frequency are linked to reduced physical fitness capacity. This study highlights the importance of nutritional interventions and healthy lifestyle promotion as integral components in the development of youth athletes to optimize performance and prevent decline in fitness.

This study analyzes the strategic role of digital transformation in accelerating the development of the green economy in Azerbaijan. As global economic systems shift toward sustainability-oriented models, Azerbaijan has begun integrating digital technologies—such as smart energy systems, geographic information platforms, and digital monitoring tools—into its environmental and economic policies. These initiatives are designed to reduce carbon intensity, enhance resource efficiency, and modernize industrial sectors in alignment with international climate standards. The study employs a qualitative library-based approach supported by content analysis to assess state programs, institutional reforms, and policy documents related to digital governance and renewable energy deployment. The findings indicate that digital solutions facilitate transparent decision-making, optimize energy consumption, and support ecological innovations, making them essential components of Azerbaijan’s national development agenda. However, the transition remains constrained by infrastructural disparities, limited technological competencies, and regulatory gaps. The study argues that sustainable development goals cannot be fully realized without comprehensive digital integration, institutional coordination, and capacity-building initiatives. Thus, digitalization is not merely a supportive tool but a foundational mechanism for the advancement of the green economy and long-term socio-economic transformation in Azerbaijan.

This study discusses the phenomenon of digital entrepreneurship in the era of global climate awareness, focusing on the integration of artificial intelligence (AI) ethics, sustainable technology, and green innovation. The main issues raised are the fragmentation of analysis between digital business ethics, green economic opportunities, and technological challenges such as greenwashing, high AI energy consumption, and the digital divide. The purpose of this study is to formulate an interdisciplinary framework that combines ethical, technological, and sustainability dimensions to strengthen the role of digital entrepreneurs in achieving low-carbon development. The methods used include critical literature analysis, bibliometrics of 200 publications (2018-2025) using VOSviewer, and fuzzy logic-based simulations using the UNESCO AI ethics framework (2021) and the sustainable business model of Bocken et al. (2014). The results show four main research clusters: AI for Sustainable Innovation, Ethical Digital Business, Blockchain for Green Supply Chain, and Circular Digital Economy. The application of AI ethics increases the efficiency of green business decisions by up to 20%, consumer trust by 17%, and MSME participation by 14%. The synthesis of findings confirms that AI ethics acts as a conceptual mediator that strengthens the link between technological innovation and sustainability. In conclusion, ethical digital entrepreneurship has great potential as a driving force for Indonesia's green economy, but it requires digital ethics audit policies and the adoption of low-carbon technologies to address ethical and environmental risks in the AI era.

Digital transformation through adoption cloud technology has become catalyst in effort efficiency energy and reduction greenhouse gas emissions glass (GHG). Research This aim for analyze contribution cloud technology against efficiency operational and impact the environment in framework economy green. With use approach studies literature and secondary data analysis from report institution international and journals scientific, research This find that migration to cloud computing can reduce consumption energy up to 84% and emissions carbon up to 88% compared to with traditional IT infrastructure. These results show that cloud computing is not only solution technology, but also important strategy in support development sustainable.

The oil and gas industry plays a crucial role in meeting global energy needs, with crude oil from production wells being the primary product of upstream operations. Prior to further processing, crude oil requires pretreatment at the production site, one of the key stages being phase separation using a flash separator. This study examines the effect of variations in cooling temperature on the performance of liquid phase separation and energy requirements in the flash separation process of light hydrocarbons. The analysis was conducted through process simulation using Aspen HYSYS version 14.2 with the Peng Robinson property package. The feed stream had a mass rate of 10,000 kg per hour, a temperature of 50°F, and atmospheric pressure, with compositions of ethane, propane, isobutane, and normal butane. The process configuration included compression, cooling, and phase separation in a flash separator at a constant pressure of 50 psia. Variations in cooling temperature were applied at 20, 10, and 0°C. The simulation results indicated a thermodynamic critical point at 10°C. At 20°C, no liquid phase was formed, while at 10°C, significant liquid yield was obtained with moderate energy consumption. Lowering the temperature to 0°C dramatically increases liquid recovery, but the cooling energy requirement also increases sharply. Sensitivity analysis confirms a strong inverse relationship between temperature and condensation yield, as well as a surge in energy consumption at low temperatures. The optimal operating condition is set at 10°C, providing a balance between separation efficiency and energy efficiency in accordance with sustainable manufacturing principles.

The International Maritime Organization (IMO), as one of the key organizations contributing to the reduction of carbon emissions in the maritime sector, offers several options that maritime industry stakeholders can utilize to measure carbon emissions, one of which is calculating the Energy Efficiency Operational Indicator (EEOI). The statistical x-bar control chart, employed as a monitoring instrument for the EEOI quality parameter, indicates that one container ship trip recorded an EEOI value of 0.00104, which exceeded the upper control limit of 0.00098. The results of process capability analysis on the initial dataset sample revealed that the value of Cp < 1, indicating that energy efficiency performance was not satisfactory. Process control was subsequently applied by eliminating anomalous data, which demonstrated a potential reduction in fuel consumption and EEOI by approximately 25%, as reflected in the improvement of the Cp value. The potential for enhancing the ship’s operational capability, however, still requires further control measures to improve energy efficiency performance. The reduction in fuel consumption directly contributes to lower emission levels, thereby supporting the realization of a sustainable shipping industry.

Given the great benefits of electrical energy, the availability of electrical energy sources is limited. Currently, the availability of electrical energy sources is not able to meet the increasing demand for electricity in Indonesia. The high use of electrical energy in daily life will have a negative impact on the environment. Therefore, to maintain the sustainability of energy sources, it is necessary to pursue strategic steps that can support the provision of electrical energy optimally and affordably, This study aims to find out how much total energy is used by the Energy Consumption Index (IKE) on electrical energy from the influence of electrical power and the length of time of use of electrical energy at SMK Negeri 2 Lubuk Basung, Lubuk Basung District, Agam Regency. This study aims to determine the value of energy consumption used or Energy Consumption Index (IKE) and energy saving opportunities at SMK Negeri 2 Lubuk Basung, Lubuk Basung District, Agam Regency. The results of this study are for the IKE value of the first floor which is 1.71 kWh/m2, for the IKE value of the second floor which is 0.03 kWh/m2, for the IKE value of one building, which is with a value of 1.74 kWh/m2, for the annual IKE of 0.022 kWh/m2/year and for the value of energy-saving opportunities of IDR 651 646/month IDR 7 819 755/year.

Nutritional problems during the growth phase of adolescent are mostly caused by consumption patterns. The most commonly used eating patterns during adolescent are foods that are high in calories, fat, sugar and salt. The habits of an unhealthy eating pattern can affect nutritional status. The foods most consumed by adolescent are often junk food and caffeinated beverages. All kinds of food and drinks are easily found around campuses surrounded by student. The purpose of this study was to determine the relationship between junk food consumption and caffeinated beverages to the nutritional status of students of the Faculty of Technology and Food Industry at Slamet Riyadi University, Surakarta. The respondents involved were students aged 18-24 years. Data was collected using a questionnaire and interview to the student. Data were analyzed using Chi-Square test. The results showed that factor affecting the nutritional status of student was mother’s education (p=0,000) and father’s education (p=0.000). Factors that do not affect nutritional status were energy intake (p=0.545), protein (p=0.085), fat (p=0.204) and carbohydrate (p=0.112), the amount of pocket money (p=0.310), the consumption level of junk food (p=0.671) and caffeinated drinks (p=0.535). The results showed that there was no significant relationship between the consumption patterns of junk food and caffeinated drinks on the nutritional status of students of the Faculty of Food Technology and Industry at Slamet Riyadi University, Surakarta. Permasalahan gizi yang terjadi saat pertumbuhan fase remaja lebih banyak disebabkan karena pola konsumsi.  Pola makan yang sering diterapkan pada masa remaja adalah makanan tinggi kalori, lemak, gula, dan garam. Pola makan yang tidak sehat dapat mempengaruhi status gizi seseorang. Makanan yang paling banyak dikonsumsi oleh kalangan remaja masuk dalam kategori junk food dan juga minuman berkafein. Makanan dan minuman kategori ini mudah ditemukan di sekitar kampus yang dikelilingi mahasiswa. Tujuan pada penelitian ini ialah menentukan hubungan pola konsumsi junk food dan minuman berkafein terhadap status gizi mahasiswa Fakultas Teknologi dan Industri Pangan di Universitas Slamet Riyadi, Surakarta. Responden yang terlibat ialah mahasiswa berusia 18-24 tahun. Pengumpulan data menggunakan kuesioner dan wawancara kepada mahasiswa. Analisis data menggunakan uji Chi-Square. Hasil penelitian menunjukkan bahwa faktor yang mempengaruhi status gizi mahasiswa adalah pendidikan ibu (p=0.000) dan pendidikan ayah (p=0.000). faktor yang tidak mempengaruhi status gizi ialah asupan energi (p=0.545), protein (p=0.085), lemak (p=0.204) and karbohidrat (p=0.112), jumlah uang saku (p=0.310), tingkat konsumsi junk food (p=0.671) dan minuman berkafein (p=0.535). Hasil penelitian menunjukkan tidak terdapat hubungan signifikan antara pola konsumsi junk food dan minuman berkafein terhadap status gizi mahasiswa Fakultas Teknologi dan Industri Pangan Universitas Slamet Riyadi, Surakarta.

Diabetes mellitus is one of the health problems whose incidence is increasing and is often complained about by people around the world. Globally, Indonesia ranks fifth in the number of diabetes mellitus cases with 19.5 million people. Dietary patterns, including energy intake, carbohydrates, protein, fat, and nutritional status, play a role in the incidence of diabetes mellitus. The purpose of this study was to determine the relationship between dietary patterns and nutritional status with the incidence of diabetes mellitus at the Bahteramas Regional General Hospital in Southeast Sulawesi Province. The study design used a cross-sectional method with purposive sampling. The study respondents were inpatients aged ≥ 20 years. Data analysis used the chi-square test. The study was conducted in April-May 2025. The results of the analysis showed that there was a significant relationship between dietary patterns (p=0.008) and the incidence of diabetes mellitus. However, no significant relationship was found between nutritional status (p=0.421) and the incidence of diabetes mellitus. Thus, it is important to pay attention to nutrient consumption patterns and nutritional status in the prevention and management of diabetes mellitus.

The increase in the population of Medan City has a direct impact on the increasing demand for housing and settlements, which is not always in line with environmental carrying capacity and the fulfillment of livable housing standards. Residential buildings contribute significantly to energy and water consumption, as well as environmental degradation, thus requiring a sustainable design approach. This study aims to formulate criteria and principles for the design of simple, livable houses by applying the concept of green buildings. The research method used is descriptive qualitative with a focus on the design of class 1a residential buildings. The study was conducted through a review of relevant regulations and standards, including the Ministry of Public Works and Public Housing's Green Building principles, the GREENSHIP Homes assessment system by the Green Building Council Indonesia, and livable housing indicators from the North Sumatra II Housing Provision Implementation Center. The results of the study show that the application of green building concepts in Small Houses can be realized through proper site management, optimization of natural lighting and ventilation, efficient use of energy and water, sustainable waste and wastewater management, and the selection of environmentally friendly building materials. The application of these principles can produce Small Houses that not only meet livable standards but also contribute to environmental sustainability.

This experiment investigates the heat transfer characteristics of an ice bag gel phase change material (PCM) incorporated within bricks. The study seeks to investigate the performance of ice bag gel as PCM in improving thermal behavior of building material. The experiment consisted of subjecting brick samples with and without ice bag gel PCM to thermal cycles in a semi-automated laboratory setup. The results indicate that ice bag gel PCM incorporated in bricks exhibited minimal changes and better heat transfer as compared to the dry bricks. It was observed that the ice bag gel PCM registered lower peak temperature and slower rates of temperature drop which means their heat storage and release characteristics were efficient. Furthermore, the ice bag gel system produced a steady radiation flux, indicating that it was able to minimize the effects of temperature variations. These results imply that ice bag gel PCM has the potential to be a green and economical option for enhancing thermal comfort and decrease energy consumption in buildings.

Background: Adolescence is a crucial stage of human development, during which adequate and balanced nutrition plays an important role in supporting growth and maintaining long-term health. At this age, eating habits begin to form, yet many adolescents tend to choose fast food, which generally has low nutritional value. Such foods are typically high in fat, sugar, and salt, but low in fiber from fruits and vegetables, potentially affecting their nutritional status. This study aims to examine the relationship between the frequency of Junk Food consumption and fiber intake with the nutritional status of students at SMP Negeri 9 Palu. This research employed an analytical quantitative approach using a cross-sectional design, involving a population of 97 students. Data were collected through the SQ-FFQ questionnaire to assess Junk Food consumption, 3×24-hour dietary recalls to measure fiber intake, and anthropometric measurements to determine nutritional status. Data analysis was conducted using the chi-square test. The results indicated a significant relationship between Junk Food consumption and nutritional status (p < 0.05). In contrast, fiber intake showed no meaningful association (p > 0.05), possibly because most respondents had similarly low fiber intake, resulting in insufficient variation to influence nutritional status. Other factors such as total energy intake, physical activity, and sleep patterns may also contribute to adolescents’ nutritional conditions. These findings highlight the importance of nutrition education in schools and the role of parents in monitoring adolescents’ eating habits. Further research with a larger sample size and more detailed dietary assessment methods is recommended to obtain more comprehensive results.  

Power transformer theft, a pervasive issue disrupting critical infrastructure, necessitates the development of cost-effective and energy-autonomous security solutions. This paper presents the design and implementation of a detection-focused anti-theft framework that integrates a Raspberry Pi Zero W, camera module, and passive infrared (PIR) motion sensors powered by a solar system for continuous monitoring. The system is designed for remote, off-grid deployment, utilizing a headless Raspberry Pi powered by a 5V solar panel and power bank to ensure energy autonomy. Upon motion detection, captured images are processed on the edge device using OpenCV’s Haar Cascade classifier, optimized for upper-body detection to minimize false positives and verify human presence. Captured images are processed locally on the edge device using OpenCV’s Haar Cascade classifier to confirm human presence before an alert is sent to the mobile application, emphasizing real-time operation and low latency. Once an intrusion is confirmed, the images are saved locally and uploaded via the Secure File Transfer Protocol to a custom-developed Android application. The app provides a dedicated remote monitoring interface, enabling secure file transfer and system access, while providing users with immediate notifications and image management capabilities. The system emphasizes low power consumption, real-time operation, and low deployment cost. Tests over 200 triggered events under varied environmental conditions achieved 90% detection accuracy with an average latency of 4.5 s. Solar autonomy was maintained for approximately 24 h under normal operation. It is concluded that the integration of solar power, edge computing of images, and mobile monitoring provides a feasible, scalable, and financially viable framework for securing transformers, especially in resource-constrained environments.

Food waste generated from the household sector is one of the largest contributors to environmental degradation in Indonesia. Food waste generated from the household sector is one of the main contributors to the increasing volume of organic waste in Indonesia. This issue not only creates social and economic problems but also poses a serious threat to environmental sustainability. This study aims to analyze the contribution of household food waste to environmental degradation and to review sustainable management strategies. This study employs a Systematic Literature Review (SLR) method guided by the PRISMA 2020 Statement to review relevant national research conducted during the period 2018-2025. The results of the literature selection show that the impacts of household food waste on environmental sustainability can be categorized into three main dimensions: (1) ecological impacts, including pollution and the increase of greenhouse gas emissions; (2) resource impacts, such as the wastage of energy, water, and land; and (3) social-environmental impacts, including the increasing burden of regional waste management and the declining quality of life for communities living near landfills. The findings emphasize that the management of household food waste plays a crucial role in achieving environmental sustainability, particularly in supporting the attainment of Sustainable Development Goal (SDG) 12, which focuses on responsible consumption and production. Therefore, it is necessary to implement strategies of reduction, reuse, and recycling of food waste at the household level to minimize the negative impacts on environmental sustainability in Indonesia.

This research focuses on analyzing the performance of a vacuum pan automation sistem using solenoid valves at PT. Duta Sugar International as an effort to improve the efficiency and quality of refined sugar production. The vacuum pan is the main tool in the sugar crystallization process that functions to evaporate the sugar solution under low pressure. Problems faced in the manual sistem are temperature instability and high dependence on operators, which impact time inefficiency and decrease product quality. The purpose of this research is to design and analyze the implementation of an automatic control system based on a Distributed Control Sistem (DCS) with the integration of solenoid valve actuators to optimize temperature stability and cooking process efficiency. The research method was carried out using qualitative and quantitative approaches through direct observation, technical interviews with the automation team, and supporting literature studies. The results showed that the automatic system was able to maintain a stable cooking temperature in the range of 78°C–85°C, lower and more efficient than the manual system which fluctuates between 90°C–100°C. In addition, cooking time was reduced by 10–15 minutes per cycle, and the crystallization process became more uniform with more efficient energy consumption. The results showed that the implementation of DCS-based automatic control with solenoid valves significantly improved operational stability, productivity, and energy efficiency. Thus, this automation sistem proved to be an effective solution for optimizing vacuum pan performance in the modern sugar industry.