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The air quality index in Depok City has declined over the past three years based on data from the Depok City Environmental Agency. In response to this condition, the Depok City Government implemented a Car Free Day (CFD) policy every Sunday along Jalan Margonda Raya. The CFD program aims to improve environmental quality and air conditions while encouraging public participation in healthy activities. The success of this policy depends on how effectively information regarding the rules and objectives of CFD is disseminated to the public by the Depok City Government Public Relations Office. This study aims to analyze the communication strategy employed by the Depok City Government Public Relations Office in disseminating the Car Free Day policy and to identify obstacles encountered during the dissemination process. This research uses a descriptive qualitative approach through media monitoring, direct observation, and analysis of government documents.

Social media provides significant benefits in life, one of which is as a communication and promotional tool. Instagram, as the platform with the second most users in the world, is a strategic medium for promotion. This study analyzes RFAS Music's strategy in utilizing Instagram to promote the song "Berona" by Rizky Febian. This study uses a descriptive qualitative approach with structured interviews, observation, and documentation methods. The collected data are analyzed through the process of data reduction, data presentation, and drawing conclusions. The theories used are the Technology Acceptance Model (TAM) which emphasizes technology acceptance and Quesenberry's Theory which emphasizes marketing communications. The results of the study indicate that RFAS Music successfully implemented an Instagram social media marketing strategy to create interaction and attract the attention of the target audience. This strategy not only increases audience awareness of the new song but also strengthens RFAS Music's position in the music industry. Thus, this study can be concluded that RFAS Music's strategy is a social media promotion strategy that pays attention to the level of efficiency and the times. By implementing the strategy and linking it to marketing communications, RFAS Music successfully promoted the launch of Rizky Febian's song "Berona." The study suggests that it would be better if this promotional activity also used other platforms that are currently equivalent and as widely used as Instagram. and continue to improve interesting strategies.customers

The relationship between religious doctrine and national identity remains a critical discourse in the Muslim world. The object of this research is Wasathiyatul Islam (Islamic Moderation) in Indonesia, which serves as a theological framework for balancing religious observance with social justice. However, the emergence of rigid transnational ideologies poses a significant challenge to this harmony, creating a potential disconnect between religious doctrine and local culture. To address this issue, this research aims to analyze how the values of Wasathiyatul Islam are transformed and harmonized within the dialectics of Indonesian society. The study employs a descriptive qualitative method with a phenomenological approach. Data were collected through literature reviews and social observations, then analyzed using an interactive model to interpret the "lived experience" of moderation. The results reveal that the harmonization process is manifested through four key indicators: national commitment, tolerance, anti-violence, and accommodation of local culture. A synthesis of these findings demonstrates that moderation in Indonesia is not merely a top-down state policy but an organic, bottom-up cultural practice where local wisdom serves as a vessel for religious values. In conclusion, Wasathiyatul Islam successfully functions as a unifying instrument, creating a "State of Consensus" where Indonesian Muslims practice their faith devoutly while maintaining unwavering loyalty to the nation.

The readiness of graduates to face the world of work is a crucial challenge amidst the increasingly competitive job market. This community service activity aims to improve student job readiness through job readiness training and strengthening soft skills. The methods used include needs analysis, CV preparation training, job interview simulations, strengthening soft skills, and pre- and post-training evaluations. The results of the activity show a significant increase in students' understanding of the world of work, self-confidence, and readiness to face the recruitment process. This activity is expected to become a model of sustainable service in increasing the competitiveness of graduates, by providing relevant and applicable provisions to face the challenges of the ever-evolving world of work. Strengthening soft skills is also expected to be a determining factor in students' success when entering the world of work. The sustainability of this program is expected to have a long-term positive impact on the development of graduates' competencies in various fields of work. In the future, the sustainability of this program is expected to have a long-term positive impact on graduates' competencies, strengthen their position in the job market, and support the development of skills needed in various fields of work that continue to evolve.

K-Pop has developed into a key instrument of South Korean cultural diplomacy with global reach, including in Indonesia. Behind its success as a soft power tool, K-Pop harbors complex dynamics of gender representation, particularly regarding the position and role of women. This study aims to analyze women's representation and agency in South Korean cultural diplomacy through K-Pop in Indonesia during the 2022–2023 period. This study uses a qualitative approach with a descriptive-interpretive design, combining a poststructuralist feminist perspective and cultural diplomacy theory. Data were collected through a documentary study of K-Pop cultural products and in-depth interviews with K-Pop fans in Indonesia. The results show that women play a central role in K-Pop's global success, both as idols and as active fans. However, women's representation in K-Pop is still dominated by standardized beauty standards and images of femininity. On the other hand, women's agency emerges through fandom practices that allow female fans to actively interpret, critique, and negotiate the meaning of gender representation. This study also found that gender issues have not been explicitly integrated into South Korean cultural diplomacy policies. These findings confirm that cultural diplomacy through K-Pop is dynamic and involves active interaction between the country, industry, and the recipient society.

 Autonomous robot navigation in dynamic and unstructured environments remains a critical challenge due to unpredictable obstacles, sensor uncertainty, and limited adaptability of traditional planning algorithms. Although conventional navigation methods such as graph-based, potential field–based, and sampling-based approaches have been widely adopted, their performance under real-time dynamic conditions is still constrained. This study aims to design and implement a comprehensive experimental framework to evaluate the effectiveness and limitations of conventional navigation algorithms for autonomous mobile robots operating in dynamic unstructured environments. The research adopts an experimental and comparative methodology by implementing A*, Dijkstra, Artificial Potential Field (APF), and Rapidly-Exploring Random Tree (RRT) algorithms in simulated static and dynamic scenarios. Performance is assessed using quantitative metrics including path length, computation time, success rate, collision rate, and path smoothness. The experimental results demonstrate that graph-based algorithms achieve high success rates and optimal path efficiency in static environments but exhibit limited adaptability to dynamic changes. APF offers fast computation but suffers from high collision rates due to local minima, while RRT shows better adaptability in dynamic environments at the cost of longer and less smooth paths. These findings confirm that conventional navigation methods are insufficient for robust autonomous navigation in highly dynamic and unstructured environments. The study highlights the necessity of adaptive and learning-based navigation frameworks, such as deep reinforcement learning, to enhance real-time decision-making, robustness, and autonomy in future robotic systems.

This article aims to describe the teaching methods and practices of the Philosophy of Islamic Education course at STAI Darussalam. This research uses a qualitative descriptive approach with a field study method that focuses on the learning process, the competencies to be achieved, teaching methods, assignment formats, evaluation systems, and obstacles encountered during the course. Data were obtained through observation and information gathering related to the implementation of the Philosophy of Islamic Education course. The results show that the teaching of the Philosophy of Islamic Education at STAI Darussalam focuses on understanding the nature of Islamic education, developing students' critical thinking patterns, improving educational literacy, and linking philosophical studies to social and political realities. The lecture method remains the dominant method used by lecturers, with an emphasis on students' ability to define and explain basic philosophical concepts accurately as an indicator of understanding. Learning success is measured by changes in students' thinking, which becomes increasingly critical, reflective, and contextual in responding to educational issues and social justice issues.

Employee performance is a key factor in determining organizational success in achieving its strategic objectives. Various management studies indicate that employee performance is not solely influenced by individual factors, but is also significantly affected by organizational factors, particularly organizational planning and organizational structure. Effective organizational planning provides a clear direction and strategic framework that guides employees in performing their tasks, while an appropriate organizational structure facilitates coordination, clarifies authority, and supports the efficient execution of work. This study aims to analyze the influence of organizational planning and organizational structure on employee performance through a systematic literature review approach. The research method employed is a systematic literature review by examining relevant national and international journal articles published within the last ten years. Data were collected from reputable academic databases to ensure the credibility and relevance of the sources. The selected studies were analyzed qualitatively to identify patterns, relationships, and key findings related to the research variables. The results of the literature review indicate that systematic and well-formulated organizational planning contributes positively to improving goal clarity, work coordination, and employee motivation. Furthermore, an organizational structure that is aligned with organizational strategies plays an important role in clarifying task distribution, authority lines, and overall work effectiveness. The findings also reveal that organizational planning and organizational structure are interrelated and mutually reinforcing in shaping employee performance. This study concludes that the integration of organizational planning and organizational structure is a crucial factor in enhancing sustainable employee performance. The results of this study are expected to provide both theoretical contributions to organizational management studies and practical references for organizations in designing effective management systems.  

The analysis methods used in this study include a case study on the use of closed-loop recycling and an evaluation of biopolymer performance across various industries, both of which are important components in the transformation of the manufacturing industry toward a circular economy. The research findings indicate that recycled materials can reduce carbon emissions by thirty to fifty percent and save production costs by fifteen to twenty-five percent. Artificial intelligence-based sorting technology improves sorting efficiency to 95 percent, and closed-loop recycling maintains the mechanical properties of materials up to 90 percent after four cycles. The degradation rate of biopolymers like PLA and PHA reaches 60-80% within six months, although production costs are still 2-3 times higher. The integrated approach increases resource efficiency by 45% and reduces waste by 60%. To achieve successful implementation, Extended Producer Responsibility (EPR) policies, strategic infrastructure investments, and collaboration from various parties thru the triple helix model must work together.

The increasing demand for rapid software delivery has led to the widespread adoption of Continuous Integration (CI) and Continuous Deployment (CD) pipelines. These pipelines automate the processes of code integration, testing, and deployment, significantly improving the speed and reliability of software development. However, traditional CI or CD pipelines often overlook security testing, leading to vulnerabilities in the deployed software. To address this gap, this study proposes an integrated framework that embeds automated security testing within the CI or CD process. The framework incorporates security testing tools such as Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), and Vulnerability Assessment and Penetration Testing (VAPT) to ensure continuous security checks throughout the development lifecycle. The experimental results show that the proposed framework enhances early vulnerability detection, with detection rates increasing from 30% to 70%. Additionally, the framework reduces deployment failures from 50% to 20%, demonstrating its effectiveness in improving software dependability. While the integration of automated security testing adds a slight 5% increase in pipeline execution time, this minimal impact does not significantly affect the overall speed of the pipeline. The proposed approach successfully balances security and efficiency, ensuring that software is both secure and delivered at high speed. This research highlights the importance of integrating security into CI or CD pipelines and demonstrates that it is possible to achieve high security without sacrificing the speed of software development. The study also discusses the practical implications for software development teams and suggests areas for future research, including the integration of advanced AI-driven security testing tools and the expansion of the framework's applicability across different software projects.

This study aims to analyze teachers' teaching strategies in improving the quality of science learning for upper grade students (IV, V, and VI) at the SD Inpres Perumnas II Makassar. The results show that teachers implement various strategies including selecting approaches that suit students' needs, using a variety of learning methods, actively involving students in learning activities, utilizing media that support conceptual understanding, and implementing continuous evaluation to assess learning success. All of these strategies complement each other and help create more engaging, understandable, and relevant science learning for students. Research findings also revealed that the choice of teaching strategy is influenced by several important factors: student characteristics, the characteristics of the science material being taught, the availability of learning media and facilities, the learning environment, and the desired learning objectives. These five factors serve as the basis for teachers to determine the most appropriate strategy, ensuring a more effective, focused learning process that enhances students' understanding of the material. Furthermore, this study identified several challenges teachers face in implementing science teaching strategies, such as diverse student abilities, time constraints, a lack of supporting media and facilities, sub-conducive classroom conditions, and uneven student motivation. These challenges require teachers to be creative and adapt strategies to ensure learning objectives are achieved and the quality of science instruction continues to improve.

This study investigates the incorporation of Sufi-oriented values into the management practices and production processes of MADA Drinking Water operated by the Ahlus Shafa Wal Wafa Islamic Boarding School Foundation. The research focuses on the Syafi’i ethical concept known as Giti–Gito, which encompasses spiritual and moral values including sincerity, patience, inner richness, holistic physical and spiritual well-being, as well as fairness in sharing resources. The main aim of this study is to examine how these values are implemented within pesantren-based business management and to assess their impact on employees’ work attitudes, leadership styles, and interpersonal relations in the workplace. This research employs a qualitative case study method. Data were gathered through semi-structured interviews, participant observation, and a review of relevant institutional documents. The findings reveal that the implementation of Giti–Gito values has successfully shaped a work environment grounded in religious ethics, social harmony, and humanistic principles. The Giti aspect strengthens employees’ commitment to sincerity, patience, and accountability in carrying out their responsibilities, while the Gito aspect contributes to enhancing employee welfare and fostering a sense of social responsibility. Although challenges remain in reconciling spiritual values with modern management demands, the integration of both spiritual and professional dimensions has demonstrated its effectiveness in creating a productive, ethical, and sustainable organizational environment.

The elderly are highly susceptible to ascariasis infection because, in addition to the occurrence of immunosenescence, helminths possess the ability to evade host immune responses, making them difficult to eradicate. This community service activity aimed to improve health literacy and early detection of diseases among the elderly in Pejaten, South Jakarta, with a specific focus on Ascariasis. The program was successfully attended by approximately 70 residents, where a medical team from the Faculty of Medicine and Health conducted comprehensive health history assessments and free medical check-ups. This education proved vital as a catalyst for behavioral change, shifting the community's initial perception that worm infections only affect children to an understanding that adults and the elderly are also at high risk. Through health screenings, residents also gained critical insights into their physical condition, including blood pressure, heart, lung, digestive, and skin health, as well as identifying personal risk factors for Ascariasis.

Reading is a must-have skill for students, regardless of proficiency level. Reading skills are used in all subjects in school. By using reading, they can understand what they learn and obtain information about subjects that help develop their skills. In this term, reading strategies play an important role in defining the success of reading. Many researchers have found that using strategies can help students read effectively and efficiently. This issue is fascinating because success in reading is supported by the strategies readers use. Therefore, the researcher is interested in finding out what reading strategies high school students use. This study aims to examine the reading strategies used by Senior High School students while comprehending descriptive text and their perception of reading strategies. The research design was a qualitative approach based on the theory of case study. The informant consists of tenth-grade students of the eleventh-grade Senior High School. Observation and individual interviews are instruments used by the researcher to collect data, and then the data is analyzed by triangulation, which consists of reducing data, displaying data, and drawing. The results of this study show that there were 7 strategies used by participants namely repeated reading, taking notes, imagine the content, summarizing, bottom up, guessing, getting the purpose of reading, each participant uses more than one strategy in reading, The result also showed that the strategies the students used while reading greatly helped them understand the text and made the reading process more effective and efficient.

This research explores the role of human algorithm interaction mechanisms in enhancing trust, reliability, and user confidence in Decision Support Systems (DSS). Traditional DSS models often focus solely on algorithmic accuracy and performance, neglecting crucial factors such as transparency and user engagement, which are essential for building trust. By incorporating explainable AI (XAI) techniques like SHAP and LIME, real-time feedback mechanisms, and user-friendly interfaces, the study develops structured interaction models that improve the interpretability of AI-driven decisions. The results show that transparent decision-making processes and interactive features significantly enhance user trust, making DSS more reliable and easier to adopt. Users interacting with systems that provide clear, understandable explanations of decisions, along with real-time updates on the system’s confidence, reported higher levels of decision-making confidence, especially in high-stakes scenarios. These improvements lead to greater user engagement and adoption of the system in various domains, including healthcare and finance. The study also highlights the importance of balancing interpretability with efficiency in user interface design to ensure both trust and usability. The findings contribute to the design of more user-centric DSS that prioritize trust, interpretability, and cognitive factors, providing a framework for the successful integration of intelligent decision support systems in complex decision-making environments. Future research should focus on refining interaction models and exploring the broader applicability of these systems in different sectors.

Digital transformation in public service delivery encourages government to implement service innovations that are effective, efficient, transparent, and accountable. This transformations is realized through the adoption of innovations capable of responding to public needs in a timely and accurate manner to improve service quality. The Regional Civil Service Agency of East Java Province developed the Rumah ASN Application as a digital-based personnel service innovation to support the needs of civil servants of the East Java Provincial Government and the general public. This study aims to analyze and describe the implementation of the Rumah ASN Application as an innovation in personnel services at the Regional Civil Service Agency of East Java Province. This research employs a qualitative descriptive. The analytical framework is based on the public sector process innovation theory proposed by Khodadad-Saryazdi (2022), which consists of seven key success factors: strategic alignment, governance, leadership, culture, information technology and information system, process actors, and performance evaluation. Data were collected through interviews, observations, and documentation. The findings indicate that the implementation of the Rumah ASN Application has generally been conducted well, but it has not yet reached optimal. Challenges identified for optimizing this service including the needs for continuous user socialization during system updates, optimization of service features for civil servant capacity building, strengthening administrative capacity and cross-sectoral coordination, and the developing the application into a mobile application version.

Muara Takus Temple is a valuable historical heritage in Riau Province and a testament to the glory of ancient civilization in the Indonesian archipelago. However, the environment around the temple often faces problems such as litter, vegetation damage, and declining public awareness. Clean-up and environmental preservation activities in this area demonstrate the involvement of the younger generation and the community in preserving the historic site. Through a participatory approach, this community service program aims to describe the process, results, and social impact of preservation activities in the Muara Takus Temple area. The results of the community service program demonstrate increased public awareness, the formation of cross-institutional collaboration, and the strengthening of the value of mutual cooperation in preserving cultural heritage and the environment. The results demonstrate that the involvement of the community, students, and site managers has successfully raised collective awareness of the importance of maintaining cleanliness and preserving cultural heritage. Furthermore, this activity strengthened the synergy between historical and environmental preservation through tree planting, waste management, and the provision of educational boards. This activity demonstrates that cultural heritage preservation can be revitalized through active participation and cross-generational collaboration.

This research aims to develop a multiclass flower image classification system using the Convolutional Neural Network (CNN) algorithm with the EfficientNet architecture. The main problem addressed is the difficulty of manual identification of flower species that share high visual similarity. The research stages include collecting 17,299 flower images across 19 classes, performing data preprocessing such as image resizing, pixel normalization, and augmentation, followed by model training using the EfficientNet transfer learning approach. The model was trained for 10 epochs with an 80:20 training-validation data split. The evaluation results show that the model achieved a validation accuracy of 98.05% with a loss value of 0.0968, and an average precision, recall, and F1-score of 0.98. The trained model was then implemented into a web-based application built using the Next.js framework, enabling users to upload flower images and obtain real-time classification results via the Hugging Face API. The system successfully identified flower species with a confidence level of 99.87%. These findings demonstrate that combining a modern CNN architecture with transfer learning provides efficient and highly accurate flower classification performance, which can be effectively implemented for educational and digital conservation purposes.

This study aimed to analyse the mineral water inventory management practices and improve production cost efficiency at PT. Pintar Sumber Mineral. The research utilized a quantitative descriptive method, with data collected through interviews, documentation reviews, and literature studies. The findings demonstrated that the company had successfully and effectively implemented the Economic Order Quantity (EOQ) model. This effective implementation was evidenced by: The increase in the EOQ value corresponding with the growth in annual demand. The implementation of specific inventory management strategies that supported cost efficiency. While significant demand growth led to an increase in ordering and holding costs, the strategy of adjusting the EOQ model was able to optimally mitigate the impact of these rising costs. This study concluded that the application of the EOQ model had made a positive contribution to the company's operational efficiency.

This study investigates the integration of computational thinking (CT) principles with adaptive curricula to enhance problem-solving skills in undergraduate programming education. Traditional programming curricula often emphasize syntax and basic concepts, neglecting critical problem-solving strategies. The adaptive curriculum framework used in this study combines CT skills such as decomposition, pattern recognition, abstraction, and algorithmic thinking with personalized learning experiences. A mixed-method approach, combining qualitative and quantitative research, was employed to assess the effectiveness of this integrated approach. The results show significant improvements in students' problem-solving abilities, conceptual understanding, and engagement compared to a control group following a traditional curriculum. Students in the experimental group, which received the adaptive curriculum, demonstrated better performance in applying algorithms and debugging code. Additionally, students expressed higher levels of engagement and motivation, suggesting that the personalized learning environment fostered greater academic involvement. The study highlights the importance of integrating CT principles with adaptive learning frameworks to create a more inclusive and effective learning environment that accommodates diverse learning needs. The findings suggest that adaptive curricula can bridge gaps in traditional education by providing personalized support and ensuring that students progress at their own pace. This approach is especially beneficial for programming education, where both conceptual understanding and practical problem-solving skills are critical for success. Future research should explore the long-term impact of adaptive learning frameworks and investigate how these technologies can be integrated with traditional teaching methods to maximize their effectiveness.