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This study aims to analyze the use of implications and patterns of violations and compliance with the principle of Grice's cooperation in Prabowo Subianto's political speech. This study uses a qualitative descriptive method with data in the form of transcripts from the YouTube video "Closing of the Third Congress of the Nasdem Party" on August 25, 2024. Data collection was carried out using the free listening technique and the recording technique. The results of the study showed that in the political speech analyzed there were 39 implicit speeches, consisting of 16 conventional implicit speeches (41%) and 23 unconventional implicit speeches (59%). In addition, it was also found that S 37 maximum violations and 13 maximum compliance. The most dominant violations were the maximum quantity (43%), followed by the maximum quality (16%), the maximum relevance (22%), and the maximum method (19%). Meanwhile, compliance with the maxim occurred most in the maxim of quality (31%), followed by maxim of relevance (23%) and maxim of means (15%). These findings suggest that politicians often use communication strategies by providing exaggerated information, conveying implicit messages, or shifting the topic of conversation to shape an image and influence public opinion.

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.

Indonesia is currently very dependent on fossil energy, the availability of which is limited and has an emission effect on the environment. To sustain the availability of electrical energy, alternative energy sources are needed in the form of renewable energy, one of which is the Solar Power Plant (PLTS). This research discusses the design of an On Grid PLTS system in the park at Campus II, Pamulang University using Pvsyst 7.2 software by taking into account technical and economic aspects in three scenarios. In scenario 1, the On Grid PLTS is designed to suit the energy needs of the Pamulang University Campus II park, while in scenario 2 it uses an OFF Grid system and in scenario 3 it uses a Hybrid PLTS system (PLN+Batteries). Economic aspects are calculated using the Net Present Value (NPV) and Discounted Payback Period (DPP) methods. Technically, the Performance Ratio obtained was 83.59% and 83.53% respectively with Solar Fraction of 62.64% and 70.15% respectively. Economically, the NPV value obtained is positive and the investment return period is 7.78 years and 7.8 years respectively. So, designing an On Grid PLTS in the park of Pamulang University's Campus II is considered feasible.

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: 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.

This study aims to analyze the marketing strategies implemented by Enauto Café to enhance customer attraction and loyalty in Nabire. A descriptive qualitative method was employed through direct observation, interviews with the café manager and customers, and questionnaires distributed to 40 respondents. The findings indicate that social media-based marketing strategies, strong visual branding, and consistent customer service contribute significantly to customer loyalty. However, there are notable weaknesses in direct promotion and menu variety. Therefore, strengthening local promotion efforts and product innovation are recommended as strategic improvements.

Leadership in ministry is very important, especially in today's digital era with various target congregations in a church. Gen Z, which is the generation that dominates the population in Indonesia, is certainly of interest for the author to be able to know more about the various transformations that have occurred. The author is aware that the study of this transformation is very broad so that the challenge of pastoral leadership in the ministry of gen z in this digital era is the focus of this study. With this study, it is hoped that the author can participate in providing comprehensive information about the challenges of pastoral leadership in the ministry of gen z in the digital era, the factors that influence and how solutions can be done to face these challenges.

This Community Service Activity aims to provide a solution for equitable and affordable internet access for residents in the Griya Ciledug Housing area. In today's era, internet connectivity has become a basic need that not only supports communication activities, but also education, economy, and social services. Through a participatory approach, this activity actively involves residents in the planning, installation, and management of a shared internet network system. The results of the activity show a significant increase in the availability of internet access in the area, strengthening collaboration between residents, and increasing digital literacy. In addition, the active involvement of residents in network management also encourages a sense of ownership and collective responsibility. This activity is a model of technology-based community empowerment that can be replicated in other environments with similar needs.

The death of a child is one of the most profound and difficult forms of grief to deal with, especially for a mother who never imagined losing her child suddenly, where the death often triggers a prolonged grief process. To achieve self-acceptance, according to Kubler-Ross, a person will go through five stages, namely denial, anger, bargaining, depression, and acceptance. Whereas in an Islamic perspective, self-acceptance is seen through the concept of ikhlas and rida which become a guide in dealing with grief. This study aims to determine the stages of mother's self-acceptance after death, the psychological impact caused, and the Islamic perspective on self-acceptance. This study uses a qualitative approach with a phenomenological research type. This study involved three mother informants who lost their youngest child to a traffic accident. The results of this study indicate that the three informants have not achieved self-acceptance and did not fully pass through the stages of the Kubler-Ross theory, such as the first informant passing through the stages of anger, bargaining, and depression, the second informant passing through the stages of denial, anger, bargaining, and depression, and the third informant only passing through the stages of denial and depression. The psychological impacts felt by the three informants include numbness, deep sadness, longing, stress, and trauma. In an Islamic perspective, ikhlas and rida are only understood verbally by informants, which is due to the strong bond between mother and child, so that to achieve complete self-acceptance, a spiritual approach such as therapy with ustadz/ustadzah or Islamic therapists is needed, as well as family support that consistently accompanies and listens, which can help mothers accept these events with sincerity.  

This article discusses the lyrics of the song “Rasa Ini” by Vierratale as a representation of hidden feelings of love, emotional wounds, and doubts in relationships. Through a qualitative descriptive approach and Roland Barthes’ semiotic theory and Grice’s implicature theory, this article analyzes the figurative meaning in the song lyrics, especially the use of metaphor, symbolism, signs, connotation, denotation, and emotional narrative structures that emerge through a first-person perspective. The findings show that the lyrics of this song not only convey messages verbally, but also describe a strong inner mood through visualization of imagery, melody, musical nuances, and supporting poetic emotions. The presence of the background of the songwriter, Kevin Aprilio, also enriches the intertextual meaning that is manifested in the authenticity of emotions. This song is also a mirror of popular culture that reflects the dynamics of love in Indonesian society, especially love that is not conveyed directly, internalized in personal experiences, the psychology of the listener, and expressions of cultural identity.

This research aims to develop an interactive web dashboard to support data analysis for vending machine sales. The dashboard is designed to facilitate the management of large datasets through intuitive visualizations and interactive features such as filtering, searching, and pagination. The development process involves several stages, including data collection, data cleaning, analysis, visualization, web design, implementation, and deployment using GitHub Pages. Technologies like HTML, CSS, JavaScript, Chart.js, and Grid.js are utilized to ensure efficiency and accessibility. The results of the research show that the dashboard effectively presents key information, such as sales trends, best-selling products, and payment method preferences, thereby supporting more accurate and data-driven strategic decision-making. However, the research has limitations in integrating predictive analytics. Future development is recommended to include predictive algorithms and test system performance on large-scale data. This solution is expected to contribute significantly to optimizing vending machine management and serve as a development model for similar applications in other business sectors.

The advancement of networking and communication technologies has escalated the IoT and edge computing integration by leaps and bounds. This paper provides a review of the current trends, technologies and issues concerning IoT and edge computing. Looking at the key application areas of smart cities, healthcare, industrial IoT and smart grids this paper demonstrates how edge computing solves the problems of cloud computing such as latency, bandwidth and privacy. The survey also reveals present day constraints such as the lack of standards for scalability, integration problems, and lack of strong data protection measures. This work can be considered as a reference source for researchers and practitioners since it reveals the relationship between IoT and edge computing and gives an idea of further advancements.

Young women's political participation is the main focus in the context of inclusive and representative democracy. However, there are significant challenges in encouraging their participation in the political process, especially in general elections such as the 2024 Presidential Election. Although young women have great potential to influence the outcome of general elections, factors such as their political orientation can influence their level of participation. This research uses qualitative methods with a case study approach to understand the influence of political orientation on the political participation of young women, especially PPKn Stambuk 2023 students. The focus of this research is to explore the perspectives, experiences and views of female students regarding their participation in the 2024 presidential election. Political orientation refers to views , attitudes, and individual values ​​towards politics, which can greatly influence young women's political participation. In the context of the 2024 presidential election, young women's political orientation can influence how they decide to get involved in the political process, such as voting, campaigning or political discussions. Young women with a strong and informed political orientation tend to be more active in participating because they feel that their participation can make a difference. In contrast, young women with a weak or apathetic political orientation may be less involved due to a lack of belief that their participation will have an impact.    

This study aims to evaluate the effectiveness of the book lending policy at the Digital Library of the State University of Medan (UNIMED) and explore student responses to the policy. The method used is a qualitative descriptive approach, with data collection through interviews and observations in the Digital Library building. The results of the study show that most students understand and feel helped by the new policy that requires the use of digital applications for book borrowing, which is considered to improve accessibility and convenience. However, there are concerns about the security of personal data, as well as dissatisfaction regarding the withdrawal of physical library cards. Overall, while this policy is effective, there is still a need for improvement, especially in the aspects of data security and better socialization. The proposed recommendations include improving security systems, more intensive policy socialization, and the development of additional in-app features to improve the user experience.

Trauma healing programs for child victims of violence are crucial because they can help them recover physically, emotionally, and psychologically. Children who experience sexual violence are at risk of experiencing long-term trauma that impacts their mental and social development. This study aims to determine the implementation of the Trauma Healing Program for child victims of sexual violence, which was implemented by the Pekanbaru City Department of Women's Empowerment, Child Protection, and Community Empowerment (DP3APM) in 2023. This study used a qualitative approach with in-depth interviews. Seven informants participated in this study: the Head of DP3APM, the Head of the UPT PPA, community members, and a psychiatrist. This study found that the trauma healing program encompasses three main stages. First, the security and stabilization stage (establishing safety), carried out by providing compassionate therapy and support to the victim's parents. Second, the remembering and grieving stage (remembering and grieving), carried out by gathering information from the victim and providing healing therapy to restore their mental state. Third, the connecting and integrating stage (reconnection), which helps victims accept their condition and return to normal life. For victims whose condition remains unstable, the healing program will continue. The main obstacle to implementing this program is budget constraints, particularly for logistical needs such as accommodation, food, and transportation. Despite this, the trauma healing program conducted by the Pekanbaru DP3APM has been well-implemented and has provided victims with a gradual and structured response and recovery effort. The main obstacle to implementing this program is budget constraints, particularly in providing facilities such as housing, daily meals, and transportation.

Character is a trait possessed by an individual that is embedded in the soul and body, which is implemented through actions. In this day and age Christian character education is very minimal in Christian students, this can happen due to a lack of provision from parents regarding Christian character. If this continues to happen and is not resolved, it will become one of the obstacles in growing the nation's successors who have the potential to advance the nation. Therefore, the school has a very big role in teaching this to students, so that students have the correct Christian character, especially in dealing with the social life of children in the present. In solving this problem, the authors use the stages which include: Observation, implementation of PKM, and evaluation. The result of this PKM activity is to increase students' awareness of themselves not to continue to be in bad conditions so that the potential they have can be developed properly

This study aims to provide legal protection for production houses as copyright holders and offer knowledge about unlawful acts that can be committed by production houses regarding the economic losses caused by the illegal distribution of films on the Telegram app. It is hoped that this research will raise awareness in society that piracy or the illegal distribution of films can cause harm to production houses as well as infringe on the copyright holder’s rights. This study uses a normative legal research method with a statutory approach to analyze the applicable regulations in protecting copyright. The results of this study show that parties involved in piracy and the distribution of someone’s copyrighted work have committed unlawful acts, violating both the economic and moral rights of the copyright holder, one of which is the production house. Parties involved in piracy and distribution can be prosecuted in accordance with the provisions outlined in Article 1365 of the Civil Code and Article 113 of Law No. 28 of 2014 on copyright. This study is expected to contribute to the development of legal protection for copyright holders in Indonesia.

A hernia is a protrusion of the abdominal wall into another body cavity (hip or pelvis, chest or thorax). One of the procedures performed in cases of hernia is surgery called herniorrhaphy. Surgery is an invasive treatment procedure through incisions to open the part of the body that will be treated surgically, which will cause pain. The pain felt after surgery is acute pain. Acute pain can complicate the healing process which can hinder the patient's ability to mobilize, rehabilitate and be hospitalized. One of the non-pharmacological therapies used to reduce pain is finger-hold relaxation therapy. Finger grip relaxation is a simple technique that combines breathing and holding a hand on each finger which can help control emotions and stress. It is hoped that this method can stimulate the brain to produce positive hormones and reduce cortisol secretion so that pain is reduced. Finger grip therapy intervention can help patients reduce the scale of pain felt after surgery. The case study used a descriptive method with a nursing process approach which was carried out on 3 respondents aged 67 - 76 using a One Group Pretest Posttest research design which was measured using the NRS instrument for 3 days. The results showed that there was a decrease in the pain scale in respondents after being given finger grip relaxation therapy.

Dangerous chemicals are always used when building new fiberglass boats which can have a negative impact on human safety and health. Fiberglass boat building also involves the use of potentially dangerous work equipment. Because the risk aspects that cause work accidents have not been identified, work accidents often occur at this fiberglass boat manufacturing company, with an average of 15 work accidents per year. With this background, the author identifies the risk of work accidents, determines the risk value and identifies alternative solutions. Identification of work accident risks is carried out using the Job Safety Analysis (JSA) method and calculating risk values ​​according to ISO 45001:2018. After identifying the risk of work accidents in the process of building new fiberglass ships at this shipbuilding company, 25 potential risks were found. The risk score calculation according to ISO 45001:2018 classifies 11 potential risks into medium risk and high risk levels. The potential risk of work accidents when cutting wood to make molds is the occurrence of scratches and limbs being cut and lacerations and even permanent physical disability due to the grinding blade coming loose while the grinding process is in progress. This shows that there is a potential risk that has reached the High Risk level and must be followed up as quickly as possible.