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Non-governmental organizations (NGOs) play an important role in public policy networks as representatives of community interests, government partners, and advocacy actors. This study aims to analyze the role of NGOs in public policy networks in Garut Regency, as well as the challenges faced in increasing their contribution to policy formulation and implementation. The study uses a qualitative approach with descriptive-analytical methods. Data were collected through in-depth interviews, observations, and documentation studies of actors involved in the policy network. The results show that NGO involvement is still symbolic, power relations between actors are not yet equal, NGO institutional capacity is limited, and coordination within the policy network is less than optimal. The lack of regulatory support also weakens the position of NGOs in the public policy process. This study concludes that strengthening the role of NGOs through institutionalizing their involvement, developing regulations, increasing capacity, and establishing equal partnership patterns are important steps to improve the effectiveness of public policy networks in Garut Regency.

This study was conducted with the aim of analyzing the difference invehicle traffic volume in the morning and afternoon on the Moch.Sruji-Jalan PB.Sudirman road section in Jember Regency. The survey was conducted through field observationby directly recording vehicle volume at 15-minute intervalsminutes, covering four categories of vehicles: heavy vehicles, light vehicles, motorcycles, and non-motorized vehicles. The data obtained was analyzedusing a quantitative approach assisted by the SPSS application, including a normality testand a mean difference test to determine the significance of the difference invehicle volume between the two observation times. Descriptively, traffic flowin the morning had a higher volume, especially during peak hoursaround 06.00-08.00 with a total of 450-500 vehicles, whilein the afternoon it was in the range of 250-350 vehicles. In addition, motorcycleswere the most dominant type of vehicle in traffic flow compared toother vehicle categories. The conclusion of this study is that the pattern ofcommunity activity, which is more intense in the morning, makes this perioda peak hour with the potential to cause congestion. The results of this studyare expected to be taken into consideration in the formulation of targeted traffic engineering policiesin the study area.

Digital transformation has brought about major changes in leadership patterns, especially in the public sector. In this context, digital leadership is key for leaders to drive innovation and adaptation to technological developments. However, the success of digital leadership is also inseparable from democratic leadership values that emphasize participation, openness, and collaboration. The synergy between these two values is an important foundation for building an effective and humanistic leadership style in the digital age. This study aims to analyze the role of Dedi Mulyadi's digital leadership in developing digital talent through the 2025 Jabar Istimewa Digital Academy (JIDA) program in West Java. The approach used is qualitative with a literature study method, sourced from 14 scientific journals and three official news reports. The results of the study show that Dedi Mulyadi applies a visionary, adaptive, and collaborative digital leadership style. Democratic values are also evident through a participatory approach that involves the community, educational institutions, and the industrial sector in the implementation of the JIDA 2025 program. This program has proven to strengthen digital literacy, expand access to technology training, and improve the readiness of West Java's human resources in facing the challenges of the digital economy. Thus, digital leadership combined with democratic principles plays an important role in realizing inclusive, competitive, and sustainable human resource development in the era of digital transformation.

The development of digital technology has made social media an integral part of children's lives, including students of Madrasah Ibtidaiyah (MI). This study aims to explore the impact of social media on the language patterns of class 5C students at MI Hasyim Asy'ari. Using a qualitative method with a case study approach, data were obtained through semi-structured interviews and participant observations of 14 students who regularly access social media. The findings show that platforms such as TikTok, Instagram, and YouTube are the main sources of new vocabulary acquisition, such as the terms "kepo", "narsis", and "anjir". These words reflect changes in students' language styles that are increasingly informal and often deviate from standard Indonesian language rules. Although social media can contribute to enriching vocabulary and increasing children's interest in communicating, negative impacts such as the dominance of slang, misuse of meaning, and reduced concern for the correct use of Indonesian are also very real. Therefore, the role of educators and parents in supervising and directing the use of social media is very important. The language learning curriculum in schools needs to be adjusted to the development of the digital era without abandoning appropriate linguistic values. With the right strategy, social media can be used as a useful language learning tool without reducing the essence of Indonesian as a national identity.

An answer to the worldwide need for solutions to food security, data fusion technology that combines climate data with satellite imagery greatly improves the accuracy of agricultural yield predictions; this study intends to examine the advancements, methods, and key contributions of this area. By sifting through 62 papers pulled from Scopus, this research employs the SLR methodology. Document type, data source, open access, subject area, and year of publication (2020–2024) are some of the categories filtered through by Boolean keywords in the selection process. To assess patterns in publications, the efficacy of machine learning models, and key contributions, bibliometric analysis was performed. An upward tendency in publication has been identified by the analysis, particularly beyond the year 2023. Integrating geographical and temporal data has been a great success with machine learning models like Random Forest, Random Forest, and Gradient Boosting. Data resolution, integration of data from several sources, and a real-time framework are still missing pieces to the puzzle when it comes to generalizing research outcomes. More complex data fusion approaches, multiregional datasets, and advanced machine learning models to back more accurate agricultural predictions are all things that this study notes as needing additional investigation in the future. To further innovate agricultural yield prediction, multidisciplinary collaboration is also crucial.

Application of Multi-Layer Perceptron neural network to fault classification in high-voltage transmission lines is demonstrated in this paper. Different fault types on protected transmission line should be detected and classified rapidly and correctly. This paper presents the use of Discrete Wavelet Transform energy features combined with zero sequence current magnitude as input features for neural network classifier. The proposed method uses eight extracted features to learn hidden relationship in fault signal patterns. Using proposed approach, fault detection and classification of all 11 fault types could be achieved with high accuracy. Improved performance is experienced once the neural network is trained sufficiently with 1188 fault samples, thus performing correctly when faced with different system conditions. Results of performance studies show that proposed neural network-based classifier achieves 96.18% average accuracy, which demonstrates that it can improve the performance of conventional fault classification algorithms, which in turn can provide more efficient solutions in the management and protection of high voltage electrical systems.

This community service (PKM) aims to improve the English language competency of students of SMK Negeri 3 Palangka Raya specifically English For Specific Purpose (ESP). The increasingly global needs of the fashion and textile industry, both for export and import and interaction with foreign clients, require graduates to have English communication skills that are not only general, but also specific according to the terminology of design, production, and marketing of fashion products. The methods used are interactive training, and Role-Play simulations, and direct practical assistance with a focus on design presentations, negotiations with clients or suppliers, and technical terminology for sewing patterns in English. The results of the PKM show an average increase in specific vocabulary mastery of 25% as well as a significant increase in student self-confidence in using English for work scenarios, as well as a better understanding of professional terms in the field of Fashion Design. This activity is recommended to be continued as a regular school program to bridge the gap between the general English curriculum and the demands of actual work competencies in the fashion industry

This study investigates the algebraic reasoning processes of university students when expanding mathematical expressions in the context of nonroutine problem-solving. The research adopts a qualitative approach to explore how students interpret algebraic structures, apply symbolic transformations, and construct logical explanations while working through unfamiliar tasks. Data were collected through written tests, task-based interviews, and detailed analysis of students’ solution strategies. The findings reveal significant variation in students’ ability to generalize patterns, recognize structural relationships, and justify algebraic procedures. Students with strong conceptual understanding demonstrated flexible reasoning, coherent explanations, and appropriate use of algebraic properties. In contrast, students who relied heavily on procedural rules often struggled with symbolic manipulation, produced fragmented reasoning, and exhibited misconceptions related to variables and distributive operations. These results highlight the importance of fostering conceptual understanding, metacognitive awareness, and reasoning-oriented instruction in university mathematics. The study provides insights for educators seeking to design learning environments that promote deeper algebraic thinking and enhance students’ ability to solve complex, nonroutine problems.

The development of digital technology has brought about significant transformations in the global entertainment industry, including in Indonesia. One manifestation of this change is evident in the presence of streaming platforms like Netflix, which have altered consumer consumption patterns for audio-visual content. This study aims to analyze how Netflix Indonesia utilizes Business Intelligence (BI) and Knowledge Management (KM) to maintain and increase customer loyalty. This research uses a qualitative descriptive method, collecting data from various scientific literature, industry reports, and relevant online sources. The results show that the implementation of BI enables Netflix to analyze user behavior, understand viewing preferences, and provide more personalized content recommendations. Meanwhile, KM plays a crucial role in internal knowledge management, content development, and service innovation. The synergy between BI and KM has been proven to support Netflix's strategy in improving user experience, retaining existing customers, and attracting new ones in the increasingly competitive Indonesian market.

The development of digital technology has changed consumer interaction and behavior patterns, including in purchasing decisions. Social media, especially TikTok, has become a strategic platform in marketing due to its interactive and visual content-based nature. Wardah, as a local cosmetics brand, utilizes TikTok through content marketing and Electronic Word of Mouth (E-WOM) strategies to strengthen brand awareness and encourage purchasing interest. This study aims to analyze the influence of content marketing and E-WOM on TikTok social media on the decision to purchase Wardah products. The research method used is quantitative with an associative approach. The research sample consisted of 97 respondents determined through purposive sampling. Data analysis was conducted using validity and reliability tests, descriptive analysis, classical assumption tests, hypothesis testing, multiple linear regression analysis, and the coefficient of determination R2. The results showed that content marketing had a positive and significant effect on purchasing decisions (t-count = 2.188; sig. 0.031). E-WOM also has a positive and significant effect (t-count = 15.020; sig. 0.001), with a more dominant effect than content marketing. Simultaneously, both social media have a significant effect on purchasing decisions (F-count = 119.690; sig. 0.001). The coefficient of determination (R²) of 0.718 indicates that 71.8% of the variation in purchasing decisions can be explained by both social factors, while 28.2% is influenced by other social factors outside the scope of this study. These findings confirm the importance of digital marketing strategies based on creative content and consumer reviews in increasing purchasing decisions for Wardah products on TikTok.

This study aims to reveal and describe the dramatic structure of the Retna Paniti play as performed by Mariyanto, a puppeteer from Ngawonggo, Klaten. The research was conducted because the performance presents a distinctive dramatic form that differs from the conventional structure of the Surakarta-style pakeliran. This study employs a qualitative approach with a descriptive-analytical method, focusing on the analysis of scene sequences and the interrelation among dramatic elements. Data were collected through literature review, observation of the 2018 performance recording, and in-depth interviews with informants familiar with Mariyanto’s puppetry style. The findings indicate that the dramatic structure of Retna Paniti in Mariyanto’s version follows a pattern close to Freytag’s Pyramid theory, yet adapted to the folk puppetry tradition of the Ngawonggo substyle. The performance opens with the battle scene between Gatotkaca and Baladewa, creating immediate tension, which contrasts with the Surakarta-style convention that typically begins with the jejer scene. The dramatic flow progresses from exposition to falling action and culminates in the achievement of harmony. The central theme emphasizes ethical values concerning harmony, loyalty, and self-control in social life, maintaining its relevance in contemporary society.

Rice production remains a strategic component in supporting local food security, yet its performance is strongly influenced by the heterogeneity of farmers' characteristics. This study aims to describe the characteristics of rice farmers in Tonra District and analyze their implications for the formulation of agricultural extension programs. Using a descriptive quantitative approach with 100 respondents selected proportionally from eleven villages, the research examines key variables including land size, seed use, fertilizer application, age, education level, and farming experience. The findings reveal clear variations in productivity among farmers, where higher production is generally associated with larger landholding, optimal input use, productive age groups, higher educational attainment, and moderate farming experience. These patterns highlight how farmers' demographic and agronomic characteristics shape their management capacity and adoption of recommended practices. The study emphasizes that extension programs must be designed based on farmers’ actual profiles to enhance relevance and effectiveness. Tailored strategies—such as visual communication for low-education groups, mechanization support for senior farmers, and input-use optimization training—are necessary to improve productivity outcomes. The results provide an important basis for developing more targeted, responsive, and sustainable agricultural extension programming at the district level.

This study investigates students’ perceptions of Smalltalk2Me, an artificial intelligence (AI)-powered conversational assistant designed to improve speaking skills in classroom learning. The main objective of this research is to explore how students perceive the tool’s effectiveness, usefulness, interactivity, and overall learning experience when using it for speaking practice. The research employed a qualitative descriptive method, with data collected through semi-structured interviews involving students who had used Smalltalk2Me as part of their English-speaking activities. The interview data were analyzed thematically to identify emerging patterns related to engagement, motivation, and skill development. The findings reveal that students view Smalltalk2Me as an effective and accessible tool that enhances speaking fluency and confidence since it allows practice anytime and anywhere. Students also appreciate its realistic conversation simulations and personalized feedback, which help them recognize pronunciation errors, improve vocabulary use, and refine sentence structure. Additionally, the AI assistant creates a supportive and low-anxiety learning environment, making learners more comfortable expressing themselves in English. Overall, the study concludes that Smalltalk2Me serves as a valuable supplementary tool for improving students’ speaking competence and fostering autonomous learning in technology-enhanced language classrooms.

This study aims to analyze the difference in the volume of motorcycle traffic in the morning and evening on Jalan Dahlia which leads from the Square. The data was collected through direct observation methods during a specific period during morning and evening rush hours, then analyzed to determine vehicle flow patterns, traffic density levels, and significant differences between the two time periods. In addition, this study also considers supporting factors such as community activities, working hours, and daily travel patterns of road users that affect traffic intensity. The results of the study showed that there was a significant difference in vehicle volume, where the volume of motorcycles in the morning tended to be higher than in the afternoon due to the dominance of trips to work and school. On the other hand, in the afternoon the traffic volume is relatively more spread due to variations in the return time of road users. These findings are expected to be a reference for related parties, especially local governments and transportation agencies, in traffic management planning, transportation operational timing, and efforts to improve the safety and comfort of road users in the area.

This study examines the strategic role of job satisfaction in shaping organizational commitment in the context of companies by synthesizing empirical evidence published between 2016 and 2025. Although it has been extensively researched, findings related to the consistency and determinants of the relationship between job satisfaction and organizational commitment are still scattered and have not been integrated, thus requiring comprehensive mapping. Therefore, this study aims to identify empirical patterns, conceptual issues, and theoretical foundations that explain how job satisfaction contributes to the formation of organizational commitment. Using the PRISMA based Systematic Literature Review (SLR) method, 35 articles were selected through the stages of identification, screening, quality assessment, and thematic synthesis. The review results show that job satisfaction is consistently a major predictor of organizational commitment in various corporate sectors. These findings are consistent with theories such as Social Exchange Theory, Equity Theory, Herzberg's Two Factor Theory, and Job Demands Resources Model, which explain the cognitive and affective mechanisms of commitment formation. In addition, variables such as work environment, job involvement, work life balance, internal CSR, and HR practices were identified as mediators or moderators that strengthen this relationship. This study concludes that increasing job satisfaction is an important strategy for strengthening commitment, reducing turnover intentions, and improving organizational performance. This review contributes to an integrative understanding of empirical developments and theoretical perspectives, and provides recommendations for future research to expand the data base and consider cross-cultural dynamics in organizations.

This study aims to analyze the strengthening of students' civic resilience through Civic Education (PKn) after the COVID-19 pandemic using qualitative methods based on literature review. The COVID-19 pandemic has changed students' social interaction patterns and learning methods, which have an impact on their social engagement and resilience as citizens. This study collects and evaluates literature related to the challenges of Civic Education learning and strategies for strengthening civic resilience in the post-pandemic context. The results show that participatory learning approaches, digital literacy, strengthening social values, and community service activities are key elements in strengthening students' cognitive and social resilience. Learning that integrates digital technology provides opportunities for students to participate more actively in social and political discussions. On the other hand, community service activities based on civic values ​​help students develop a stronger sense of social responsibility. The implications of this research encourage the development of a Civic Education curriculum that is adaptive to current social and technological dynamics so that students become resilient and active citizens. This study also recommends that Civic Education be continuously updated with a more interactive and relevant approach to current needs, to enhance students' ability to participate constructively in the global community.

This study aims to analyze the strategies used by business actors in facing local market competition through Porter's Five Forces Model approach, which includes: the threat of new entrants, the threat of substitute products, the bargaining power of suppliers, the bargaining power of consumers, and the intensity of competition between competitors. This research uses a qualitative method with a descriptive approach. Data collection techniques were conducted through in-depth interviews with three categories of informants, namely business owners, employees, and consumers. Data analysis was conducted by identifying patterns, differences, and linkages between the strategies applied and aspects of Porter's Five Forces Model. The results showed that the main strendgth in local competition lies in the high intensity of competitors and the increasing number of alternative products offered. The integration strategy between online and offline marketing is proven to help dealers reach consumers more widely and build customer loyalty. The use of social media, digital promotions, and direct-to-consumer services such as exhibitions and local community partnerships are key to adaptation in the digital era. By understanding Porter's five aspects in depth, businesses can formulate strategies that are more adaptive, innovative, and highly competitive in the local market.

This study investigates the influence of TikTok usage on the changes in interpersonal communication styles among university students in Indonesia. The rapid development of digital communication platforms, especially TikTok, has reshaped the way young people interact, express themselves, identify changes in their interpersonal communication styles, and analyze the effect of TikTok usage on those changes. Using a quantitative survey method with 100 active university students as respondents, data were collected through an online questionnaire. The results indicate that students’ TikTok usage is categorized as high, particularly in terms of frequency, duration, and engagement intensity. Findings also show a significant shift in communication styles, especially in language choice, expressive patterns, and interaction modes. Simple linear regression analysis confirms that TikTok usage has a strong and significant influence on changes in interpersonal communication styles (p < 0,001; R² = 0,944). These results demonstrate that TikTok not only serves as an entertainment platform but also plays a substantial role in shaping students’ communication behavior. The study highlights important implications for understanding digital communication trends among young adults in Indonesia.   

This study aims to analyze the differences in thermal conditions between coastal and riverside settlements, focusing on variations in temperature, humidity, and wind speed during day and night. The research sites include the coastal area of Dusun Karama Tengah (seaside) and Desa Salotengnga (riverside). Measurements indicate that the coastal area experiences more extreme daytime temperature fluctuations, reaching nearly 39 °C, with nighttime temperatures remaining warm and showing noticeable variation among points. In contrast, the riverside area displays more stable temperature patterns, with nighttime temperatures ranging between 28–30 °C. Relative humidity along the coast increases consistently at night, whereas in the riverside area it is heterogeneous, varying from saturated to very dry conditions. Wind speed serves as a key differentiating factor: the coastal area is still influenced by land–sea breezes, while the riverside environment tends to be stagnant with weak natural ventilation. These findings highlight distinct thermal comfort challenges in both settings—coastal areas are prone to daytime heat stress, whereas riverside areas face nighttime discomfort due to humidity and air stagnation. The results provide a foundation for adaptive architectural and spatial design strategies responsive to local microclimatic contexts.  

Digital transformation has revolutionized Islamic da'wah and counseling services, providing opportunities to reach a wider audience, especially millennials and Gen Z. This study aims to examine digital content innovation and creation that can improve the effectiveness of da'wah and counseling. The method used is a literature review with content-based data analysis, which identifies themes, patterns, and meanings from journals, books, and related digital documents. The results show that digital audiences tend to prefer content that is concise, visual, and easily accessible. Therefore, an effective content development model must encompass research, scripting, production, evaluation, and the selection of an appropriate distribution platform. In digital counseling services, aspects of ethics, privacy, and data security are crucial to maintain user trust. Furthermore, the integration of da'wah messages with counseling in a single platform is considered effective in simultaneously meeting the spiritual and psychological needs of the community. Challenges faced include information overload, misinformation, low digital literacy, and the risk of data breaches. In conclusion, the success of digital da'wah and counseling depends on understanding the audience and implementing a creative and ethical model, to provide a sustainable positive impact.