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Introduction: Achieving carbon neutrality in industrial systems is essential for mitigating climate change and promoting sustainability. The increasing demand for energy optimization and carbon emission reduction has driven the development of advanced technologies, particularly hybrid machine learning (ML) models. These models, combining ensemble learning and reinforcement learning (RL), offer significant promise in optimizing industrial processes, reducing energy consumption, and improving environmental performance. This study explores the application of hybrid ML models in achieving carbon neutral goals through dynamic process optimization and energy control in industrial settings. Literature Review: Hybrid ML models integrate different machine learning techniques to handle complex and dynamic environments effectively. Ensemble learning methods, such as boosting, bagging, and stacking, combine multiple algorithms to improve predictive performance and robustness. Reinforcement learning (RL), on the other hand, enables real time decision making and adaptation based on trial and error interactions with the environment. In energy optimization, these models are used to reduce energy intensity and carbon emissions, enhancing overall operational efficiency. Previous studies have demonstrated the effectiveness of ML models in energy management, but challenges such as data quality, model integration, and computational complexity remain. Materials and Method: The study applies hybrid ML models combining ensemble learning and RL to optimize energy consumption and minimize carbon emissions in industrial processes. Data from real time sensors and operational parameters are used to train the models. The ensemble learning component improves the accuracy of energy predictions, while RL ensures dynamic process adjustments in response to fluctuating energy demand. The models were tested in various industrial settings, including manufacturing processes, smart grids, and microgrid systems. Performance metrics such as energy efficiency, carbon emissions reduction, and operational costs were evaluated to assess the effectiveness of the models.  Results and Discussion: The hybrid ML models achieved significant reductions in energy intensity (15-20%) and carbon emissions (18-25%). The real time adaptability of the RL component allowed the models to adjust energy consumption patterns dynamically, improving energy efficiency and reducing waste. The models demonstrated their ability to adapt to varying operational conditions, ensuring optimal energy use. A cost-benefit analysis showed that the hybrid models provided substantial energy savings and reduced operational costs, with a return on investment (ROI) of 30-35% within the first year of deployment. However, challenges such as computational complexity and data quality issues were identified, highlighting the need for further refinement in model development.

Introduction: The integration of Digital Twin (DT) technology and the Internet of Things (IoT) into Building Energy Management Systems (BEMS) offers a transformative approach to optimizing energy consumption in buildings. This study explores the development of a Digital Twin based BEMS prototype, which leverages real time data collection, predictive analytics, and machine learning to enhance energy efficiency, reduce costs, and support sustainability goals in modern buildings. The research also addresses key gaps in current energy management systems, including real time adaptive control and integration with smart grid platforms. Literature Review: Previous research highlights the limitations of traditional BEMS, which often rely on static control strategies and lack real time adaptability. Recent advancements, including predictive maintenance and machine learning integration, have improved energy optimization. However, challenges such as data interoperability, scalability, and cybersecurity remain. This review consolidates current approaches and identifies opportunities for enhancing BEMS through the integration of DT technology, IoT, and machine learning. Materials and Method: The methodology employed involves the design of a Digital Twin based BEMS prototype, incorporating IoT sensors for real time data collection on variables such as HVAC load, occupancy, and environmental factors. The system uses time series forecasting and adaptive control strategies to optimize energy consumption. A case study building is used for validation, with performance metrics such as energy savings, CO₂ footprint reduction, and peak load reduction assessed to evaluate the system's effectiveness. Results and Discussion: The results demonstrate a significant reduction in energy consumption (up to 50%) compared to traditional BEMS, along with improved forecasting accuracy and sustainability performance. The prototype achieved a high R² score in predicting energy usage, validated through real world application in the case study building. The economic feasibility analysis showed substantial cost savings and a strong return on investment, making the system a financially viable solution for energy efficient building management.

Citizenship education from an Islamic perspective plays a significant part in shaping students' character and social mindfulness. By coordination sharia values such as equity, tolerance, and social duty into the educational programs, it is anticipated to make a era that's not as it were scholastically cleverly but too ethically upright. This think about points to analyze how sharia values can be actualized in citizenship instruction and their affect on shaping a harmonious national identify. This investigate employs a qualitative strategy with a descriptive-analytical approach. Information were collected through in-depth interviews, participatory perceptions, and record investigation of instructive approaches and relevant educating materials. The research subjects include teachers, students, and stakeholders included within the usage of an Islamic values-based educational programs. Information investigation takes after the Miles and Huberman demonstrate, which comprises of information reduction, information introduction, and conclusion drawing. The comes about show that sharia-based citizenship instruction can reinforce national personality and foster a more concordant and capable society. The integration of sharia values into the educational programs moreover upgrades students' mindfulness of their rights and duties as citizens based on Islamic morals. In this manner, a systematic effort is required to create a significant and feasible educational programs, in conjunction with back from different partners to guarantee the compelling execution of sharia values in citizenship education.

This study explores the integration of Artificial Intelligence (AI) with thermal optimization in Waste-to-Energy (WtE) systems to enhance both energy recovery and emission control. Introduction: The growing need for sustainable urban waste management has highlighted the importance of optimizing WtE systems. AI technologies, including machine learning and deep learning, have shown potential in improving the efficiency of WtE processes, especially in reducing emissions and enhancing energy recovery. Literature Review: Previous research indicates that AI has been successfully applied to various WtE technologies such as pyrolysis, gasification, and incineration, yet the integration of AI specifically for thermal optimization remains underexplored. Most studies focus on predictive models for emission reduction rather than real time thermal optimization. Materials and Method: The study proposes the development of an AI-driven framework that integrates real time data collection from IoT sensors, predictive modeling, and real time control algorithms. The system optimizes key parameters such as combustion temperature and fuel flow to enhance energy recovery and minimize emissions. The method includes data collection from operational WtE plants, followed by model development using machine learning algorithms. Results and Discussion: Initial simulations and pilot testing showed significant improvements in energy efficiency and emission reduction. AI-driven systems outperformed conventional WtE systems by optimizing operational parameters in real time. The study identifies gaps in AI integration for thermal optimization and suggests future research directions, including the integration of AI with smart grids and carbon credit systems for more sustainable WtE operations.

Introduction: Cocoa farmers are prone to experiencing neck muscle pain due to repetitive physical activities with prolonged duration. Neck muscle pain can reduce productivity and quality of life. This study aimed to analyze the effect of static stretching exercises on reducing neck muscle pain among cocoa farmers in Candikusuma Village. Methods: This research used a pre-experimental design with a pre-test and post-test approach. The sampling technique was consecutive sampling with a total of 62 respondents. The static stretching exercise intervention was conducted for 1 week with a frequency of 2 sessions and a duration of 30 minutes per session. The research instrument used the Numeric Rating Scale (NRS). Results: Data were analyzed using the Wilcoxon Signed Rank Test, resulting in a p-value of 0.001 (p<0.05), indicating a significant effect of static stretching exercises on reducing neck muscle pain among cocoa farmers. Discussion: Static stretching exercises can be recommended as a non-pharmacological therapy to reduce neck muscle pain in the cocoa farmer population.    

Introduction: Low back pain is one of the most common musculoskeletal disorders encountered in the work environment and is categorized as a disease caused by work activities. Methods: This study used health promotion counseling method on stretching exercise for low back pain (LBP). The counseling was held on March 15, 2025 at Bening's Clinic Pamekasan which is located on Jl. Trunojoyo no. 325-327, Pocok, Laden, Kec. Pamekasan, Pamekasan Regency, East Java. A total of 21 workers participated in this counseling. The promotional media used in this activity was a leaflet, and pre-test and post-test were applied as instruments to measure the effectiveness of the counseling. Results: The results of the evaluation of 21 participants showed that their understanding of Low Back Pain (LBP) and stretching exercise increased to 100%. Conclusion: Based on the results evaluation results, the counseling conducted at Bening's Clinic Pamekasan successfully increased participants' understanding of stretching exercise for low back pain (LBP).

The Kebun Soka Sari Women Farmers Group in Sukaraja Village is a group that empowers women in agriculture to support food security and the family economy. Its members are housewives around Griya Asoka who manage small farms in their yards. They develop pakcoy cultivation with a hydroponic system. The women farmer group not only provides healthy food, but also adapts to modern agricultural technology. They are active on social media and sell hydroponic pakcoy vegetables to supplement their income. The purpose of this journal is to determine the adoption of digital technology and introduce a website for marketing agricultural products. The research method used is quantitative method by distributing questionnaires. The questionnaire aims to determine the level of knowledge of farm women's groups and the use of digital in product marketing. The use of digital in product marketing in the Women Farmers Group has no difficulty in adopting digital technology. They have used digital applications to share activities and promote products. Their customers come from local residents and outside the village. They are also enthusiastic about the introduction of websites in product marketing.

Limitated of infrastructure is one of the issues affecting the continuity of education in Indonesia. The unequal distribution of facilities in schools undoubtedly makes the learning process less effective and impacts students' learning outcomes. This is particularly evident in physical education, sports, and health lessons, which require equipment for the learning process. The lack of equipment prevents the expansion of sports education and the introduction of other sports as part of the curriculum. One example is handball, which is rarely taught in schools due to the lack of balls. As a result, some schools resort to using other balls, such as volleyballs, to teach handball. Using a volleyball in handball lessons is ineffective, especially when it comes to shooting. This issue led the researcher to consider modifying the handball with a rubber ball, which is easy to find and resembles the size of a real handball. The researcher then implemented this modification in a two-cycle action research study. The results from the pre-cycle assessment showed that only 2 out of 35 students passed the shooting test. In terms of percentage, this means only about 6% of the students were able to shoot well. Following this, the researcher took action in the first cycle, and 19 students passed, about 54% of the sample. Since the results were still considered suboptimal, the researcher proceeded with the second cycle, where 32 students passed, around 91% of the sample.

Oyster mushroom cultivation is one of the non-timber forest products that is underutilized by farmers. Oyster mushrooms have quite promising business opportunities to be developed well and do not require large amounts of capital. This activity aims to introduce and provide training on oyster mushroom cultivation to farmers in Watu Village, Marioriwawo District, Soppeng Regency. The service method is carried out in several stages. First, introduction and presentation of material regarding the prospects and cultivation techniques as well as the benefits of oyster mushrooms. Second, mushroom cultivation training is carried out by filling the planting media (baglog), sterilization, inoculation, and incubation. Third, interactive discussions with the farmers involved. Data collection by monitoring the mushrooms that have been maintained to see the growth of the fungus and any contamination in the baglog during the incubation period. The participants are trained to manage baglog production through to the harvest process, to ensure sustainability and profits from cultivating this mushroom. This initiative is expected to support the development of alternative livelihoods and contribute to the economic resilience of local communities while introducing environmentally friendly agricultural practices. It is hoped that the success of this training can become a model for similar rural development projects in other region.

The Ecological Literature Batik Making Project with PKK Women and the Batik Workshop Community of Sawojajar Village, Malang City is a community service activity carried out in the framework of the PPG Teacher Candidate Leadership Project Wave 2 Year 2024. This program aims to integrate the art of batik with the concept of ecological literature, as well as introduce natural dyeing methods as an environmentally friendly alternative in batik production. This activity began with an observation that found that the use of synthetic dyes in the batik industry in Malang City is still dominant, thus potentially polluting the environment. In addition, the involvement of PKK mothers in productive activities oriented towards economic sustainability and environmental conservation is still limited. The implementation of this project was conducted through a series of trainings and workshops that included an introduction to hand-drawn batik techniques as a cultural heritage, an understanding of ecological literature in batik motifs, and the practice of making natural dyes using indigofera. Participants were also trained to apply the concept of ecological literature in batik designs made in various products, such as totebags, cushions and tablecloths. The results of this activity show that the active participation of the community in batik training with natural dyes can increase awareness of more environmentally friendly textile production practices. It is hoped that this project can become a sustainable movement in the use of natural dyes in the batik community in Malang City and open up new economic opportunities for the community, especially PKK mothers. In addition, through the introduction of ecological literature in batik motifs, this activity also contributes to educating the public about the relationship between humans and the environment through textile art.

The workshop on the preparation of Higher Order Thinking Skills (HOTS) questions at MI Islamiyah Palangka Raya aims to improve the competence of educators in designing problems that challenge students' high-level thinking skills. This study uses a qualitative descriptive method with a participatory approach, which involves interactive lectures, group discussions, hands-on practice in the preparation of questions, and integration of learning technologies. The results of the activity showed that participants gained a better understanding of the concept of HOTS, active learning strategies, and problem preparation techniques that can develop students' critical, creative, and analytical thinking skills. Practice sessions involving the creation of questions and presentation of the results provide an opportunity for teachers to share experiences and constructive feedback. In addition, the introduction of educational applications and digital media opens up new insights into the importance of technology in supporting the learning process. Despite the challenges in mastering technology, the enthusiasm of the participants to implement technology in their learning was very high. In conclusion, this workshop makes a positive contribution to improving the professional competence of teachers, and to ensure the sustainability of the workshop results, follow-up is needed in the form of further training and support from the school.

The era of digital transformation demands that the younger generation acquire technology-based entrepreneurship skills, or technopreneurship. However, in the context of Vocational High Schools (SMK), many students still lack understanding and skills in developing structured and applicable business models. This Community Service Program (PKM) was carried out to address this challenge, particularly at SMK Negeri 1 Mengwi, Badung, Bali, by leveraging local potential such as tourism and traditional culinary products. The training program focused on the use of the Business Model Canvas (BMC) as a visual tool for business planning, alongside the introduction of trending technologies such as digital marketing. The activities were implemented in four stages: pre-test, socialization, intensive training, business idea presentation, and post-test evaluation and reflection. A total of 36 students participated in this program. The results of the pre-test and post-test showed an increase in understanding of 53.85% in the aspect of technopreneurship and 58.33% in understanding the elements of the BMC. These findings indicate that practical and visual-based approaches are effective in fostering students’ strategic thinking, collaboration, and creativity in developing business ideas based on local potential and technology. This program also made a measurable and impactful contribution to strengthening vocational students' technopreneurship competencies

Introduction: Diarrhea is one of the most common diseases affecting children worldwide. Diarrhea is a condition when the sufferer defecates more often than usual, namely defecating more than 3 times a day and the diarrhea sufferer's stool is thinner than usual. Puskesmas Tarus is one of the Puskesmas in Kupang Regency with the highest data on diarrhea cases in 2021 compared to other Puskesmas, namely 132 cases of diarrhea in toddlers. In 2022 diarrhea cases increased, namely 139 until 2023 it continued to increase to 145 diarrhea patients in children under five. Methods : This type of research and research design is quantitative research with Cross Sectional design. the population in this study were all mothers of toddlers in the Tarus Puskesmas Working Area. The population of mothers who have toddlers is 2,110 people. The sampling method is determined by simple random sampling, with mothers or respondents who have toddlers totaling 66 people. Data analysis was performed with the Chi-Square statistical test. Results: The results showed that there was a significant relationship between maternal knowledge (ρ=0.034), hand washing behavior (ρ=0.022), ownership of healthy latrines (ρ=0.007), availability of clean water (ρ=0.029) with the incidence of diarrhea in toddlers in the Tarus Health Center Working Area. Conclusion: It is recommended for mothers to maintain personal hygiene before doing or giving activities to toddlers.

This study is based on the importance of Mathematics Learning based on Computational Thinking in Asy-Syifa Islamic Schools, Jambi City, because some students at Asy-Syifa Islamic Schools, Jambi City have difficulty understanding the concept of learning mathematics, lack of practice, and even motivation factors. Therefore, the purpose of this study is to determine the planning, implementation and evaluation of Mathematics Learning Based on Computational Thinking in the Era of Independent Learning Curriculum in class IV of Asy-Syifa Islamic School, Jambi City. To achieve these goals, the researcher used qualitative research with the method used Phenomenology. The data collection techniques used in this study were observation, interviews and documentation. The data source selected was snowball sampling using respondents from the principal, class IVA mathematics study teachers and class IV students. The data analysis techniques used in this study were data reduction, data presentation and data conclusions. The results of this study are 1) Planning of Mathematics Learning Based on Computational Thinking in the Era of Independent Learning Curriculum in grade IV of Asy-Syifa Islamic School, Jambi City includes Introduction to Computational Thinking, Determining learning objectives, Mathematics learning design based on Computational Thinking, Development of media or learning tools, Learning activities, Learning assessment and improvement. 2) Implementation of Mathematics Learning Based on Computational Thinking in the Era of Independent Learning Curriculum in grade IV of Asy-Syifa Islamic School, Jambi City includes Decomposition (Problem Deconstruction), Implementation of technology, Collaboration and Discussion and evaluation and reflection. 3) Evaluation of Mathematics Learning Based on Computational Thinking in the Era of Independent Learning Curriculum in grade IV of Asy-Syifa Islamic School, Jambi City includes Understanding the basic concept of Computational Thinking, Implementation in learning, Assessment of Computational Thinking skills, Learning outcomes and feedback from students and teachers.

Currently, in the era of globalization, the world is becoming increasingly connected and interdependent with one another, rapid developments have occurred in the field of information technology, especially in terms of the use of word processing applications. Teachers at TKIT ASHOPA Praya Central Lombok need adequate skills in using information technology, especially the Microsoft Word application, to improve the quality of human resources. However, the development of Microsoft Office applications that occur every year makes it difficult for teachers to keep up with these developments. Therefore, training activities were carried out which aimed to provide basic knowledge about the Microsoft Word application to TKIT ASHOPA teachers. This training includes an introduction to icons and their functionality, as well as the use of applications in module creation and documentation management. This training lasted for 2 days and was attended by 12 teachers. The ASHOPA TKIT teachers responded enthusiastically to this training, as seen from their active participation in asking questions and discussing the material with the presenters. It is hoped that with this basic training, the understanding of teachers at TKIT ASHOPA Praya Central Lombok can increase.

Today's in digital era, graphic design skills have become one of the essential competencies, especially for students of Vocational High Schools (SMK) who are prepared to enter the workforce. However, challenges such as limited access to professional design software and a lack of adequate training often hinder students' creative development. Therefore, this training program is designed to enhance the graphic design skills of students at SMK Tri Sakti Lubuk Pakam by utilizing Canva. Canva was chosen as the main platform due to its ease of use, availability of various creative features, and accessibility in both free and paid versions. This program implements various methods, including theoretical and practical training, interactive workshops, and evaluation of students' design results. The activities will be conducted in stages, starting with an introduction to basic graphic design, exploring Canva features, and then applying them in creating various design works such as posters, promotional materials, and digital content. It is expected that through this training, students will improve their graphic design skills, making them more prepared to face the creative industry or develop their own business. Additionally, this program also aims to enhance the competitiveness of SMK Tri Sakti Lubuk Pakam graduates in the workforce and foster an innovative and creative culture among students.

The study looks at how elections in Nigeria and other countries set the stage for political succession. They once gave dishonest people and organizations the chance to carry out crimes of rigging to harm the electorate and other competitors. Stakeholders and the electorate are marginalized by unchecked manipulation, which results in their losing the election or having their votes stolen or canceled, all without their fault. This was the case prior to the introduction of smart card readers and permanent voter cards. The use of technology in Nigerian elections made it very difficult for results to be altered, either by dishonest people or by changing figures in an arbitrary and fraudulent manner. This electronic device is very difficult to copy or compromise due to its transparent application and built-in security mechanisms. Therefore, the purpose of this study is to examine the reasons why the smart card reader was necessary, the arguments against its usage, and its effectiveness in the 2015 presidential elections, as well as the possibility of more elections in the future.

This article discusses the evaluation of the effectiveness of Aqidah Akhlak learning through a literature review that focuses on lecture and discussion methods. In learning Aqidah Akhlak, choosing the right method is the key to success in delivering material and shaping students' character. The lecture method is effective in conveying basic information in a systematic manner, while the discussion method emphasizes more on the active involvement of students and the development of critical thinking skills. This article examines various scientific literature to analyze the advantages, disadvantages, and relevance of these two methods in the learning of Aqidah Akhlak. The results of the study show that the use of both methods in an integrated manner can provide more optimal results, with lectures as an introduction and discussions as a deepening of the material. These findings provide a theoretical perspective for educators in designing effective learning strategies.

Introduction to School Field (PLP) is an academic program designed to provide students with direct experience in the world of education. This program aims to enable students to understand the real situation in schools, improve their teaching skills, and hone their professional abilities as prospective educators. In the implementation of PLP at SMKN 6 Pekanbaru, four students participated in this activity from January 13 to February 22, 2025. They were given the opportunity to teach English to students in grades 10 (RPL 1 & 2), 10 (TE 1 & 2), and 11 (MEKA 1 & 2). Through this program, students can gain valuable experience in managing classes, compiling learning tools, and interacting directly with students and educators. In addition, the PLP program also provides benefits for schools in improving the quality of learning. This article will discuss the implementation of PLP in detail, starting from the methods used, the results obtained, to the benefits felt by students and learners.

Introduction to School Field (PLP) is an academic program designed to provide students with direct experience in the world of education. This program aims to enable students to understand the real situation in schools, improve their teaching skills, and hone their professional abilities as prospective educators. In the implementation of PLP at SMKN 6 Pekanbaru, four students participated in this activity from January 13 to February 22, 2025. They were given the opportunity to teach English to students in grades 10 (RPL 1 & 2), 10 (TE 1 & 2), and 11 (MEKA 1 & 2). Through this program, students can gain valuable experience in managing classes, compiling learning tools, and interacting directly with students and educators. In addition, the PLP program also provides benefits for schools in improving the quality of learning. This article will discuss the implementation of PLP in detail, starting from the methods used, the results obtained, to the benefits felt by students and learners.