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This study aims to explore the structure and social values contained in the short story Sekotak Cinta Bersampul Koran by Seno Gumira Ajidarma with a focus on how this short story describes the social conditions of society and the inner struggle of the main character. Through a literary analysis approach, this study analyzes the story structure, characters, themes, and storytelling techniques used in the short story. The results of the analysis show that this short story reflects the social alienation experienced by individuals in modern life, as well as the inner conflicts that arise due to social and economic injustice. It also highlights the values of love and sacrifice, friendship and solidarity, and social justice and injustice, leading to a critique of materialistic social norms. A clear plot structure, starting from introduction, conflict, climax, to resolution, supports the delivery of the theme, showing the inner struggle of the main character in finding the meaning of life and love in the midst of social limitations. This research is expected to provide deeper insights into the influence of literature in reflecting social issues and enriching readers' understanding of Indonesian literary works, as well as inviting readers to be more critical in assessing literary works as a reflection of existing social reality.

Pesantren in Indonesia play a crucial role in Islamic religious education. However, amidst the advancement of the times and the challenges of globalization, pesantren are faced with the need to transform in order to remain relevant. This journal aims to analyze the transformation of pesantren education, particularly in integrating religious education and general knowledge in the modern era. The method used is a descriptive qualitative approach with literature studies, relying on data from books, articles, and related journals. The research results show that modern pesantren have adopted curriculum changes by integrating religious subjects and general science, including the use of technology in the learning process. In addition, the introduction of practical skills and entrepreneurship has also become an essential part of preparing students to face global challenges. This transformation not only affects the quality of education but also its impact on society, which increasingly recognizes the importance of pesantren education in producing qualified young people who are ready to compete in the global world. This journal concludes that pesantren who successfully adapt to the advancement of the times have a vital role in creating competent and competitive human resources.

Land law politics in Indonesia plays a crucial role in realizing social justice and sustainable development through fair and sustainable management of agrarian resources. The primary legal foundation governing land matters is Law No. 5 of 1960 on Basic Agrarian Principles (UU Pokok Agraria), which asserts that all land, water, and air spaces are controlled by the state and utilized to the greatest extent for the welfare of the people. However, the implementation of land law politics faces significant challenges, including disparities in land distribution, agrarian conflicts, and misalignment between central and regional policies. Policy changes, such as the introduction of Land Management Rights and Land Banks through the Omnibus Law, add complexity and raise questions about their alignment with UU Pokok Agraria's fundamental principles. Resolving land disputes also becomes a critical issue, necessitating effective and inclusive legal mechanisms. Therefore, comprehensive reform in land law politics is required, encompassing regulatory harmonization, consistent law enforcement, and active public participation, to ensure fair and sustainable land management for the welfare of the people.

This community service activity aims to improve the creativity and English language skills of students at Plempukan Elementary School, Kembaran, Ambal, Kebumen through Ecoprint tote bag making training. The method used includes three stages, namely preparation, implementation, and evaluation. In the preparation stage, the team compiled a contextual learning module and prepared natural materials for Ecoprint. The implementation stage began with an introduction to relevant English vocabulary, followed by direct practice in making tote bags with the guidance of a facilitator. Evaluation was carried out through assessment of work results and joint reflection. The results of the activity showed that students were able to master basic Ecoprint techniques, understand and use English vocabulary contextually, and show increased self-confidence and active participation in activities. This activity proves that learning based on creative practice can be an effective medium in improving language competence and art skills in an integrated manner.

This study discusses the effectiveness of speed reading techniques in learning Arabic at the Darut Tauhid Patemon Islamic Boarding School. Speed ​​reading skills are very important for students to understand Arabic texts, such as classical books and other Islamic literature, in a shorter time. This study uses a qualitative method with data collection techniques in the form of interviews, observations, and documentation. The results of the study indicate that the speed reading techniques applied in this Islamic boarding school are divided into three levels: beginner, intermediate, and advanced. The technique for beginners emphasizes the introduction of letters and harakat, mastery of understanding using the flashcard method, and repeated reading exercises using the shadowing method. At the intermediate level, students are trained to use skimming and scanning techniques, reading in phrases using the eye movement control method, and understanding the context of the text. Meanwhile, the advanced level focuses on evaluating understanding, discussion, and oral speed reading tests. Although this technique has proven effective in improving reading skills, there are several obstacles, such as limited understanding of students and lack of intensive practice outside of formal class hours. Therefore, a more optimal mentoring strategy is needed, such as increasing comprehension exercises, using technology in learning, and additional training for students who experience difficulties. With proper application, speed reading techniques can improve students' competence in understanding the texts they have mastered.

The issue of waste management remains one of the significant environmental challenges in Indonesia, mainly due to the lack of awareness and understanding from an early age. This article discusses the implementation of a community service program through innovative interactive learning using educational games "Reresik" and "Bersihkan Sampah di Laut" designed to enhance elementary school students' interest and understanding of waste management. The implementation method includes teacher training, the introduction of waste material, the application of educational games, and the evaluation of program effectiveness through satisfaction surveys. The results indicate that game-based learning methods significantly increase student enthusiasm, simplify understanding, and foster positive habits in maintaining environmental cleanliness. Moreover, the training provided to teachers improved their ability to integrate educational technology into the learning process. This program is expected to serve as a sustainable innovative learning model to raise environmental awareness among younger generations.

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.

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.

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.

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.

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.