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Bullying is a serious problem that can disrupt the learning process and mental development of students, including in Islamic boarding schools. Early detection of bullying is essential to creating a safe and conducive learning environment. This study aims to apply the You Only Look Once (YOLO) algorithm to automatically detect bullying through video recordings in the environment of the SMK Skill Village Islamic School Business Boarding School. The method used involves collecting a video dataset representing various types of bullying behavior, labeling the data, and training an object detection model using the YOLOv5 algorithm. The developed system is capable of detecting and classifying bullying behavior in real- time with detection accuracy reaching [accuracy value if known]. The implementation of this system is expected to assist school authorities and boarding school administrators in monitoring, preventing, and addressing bullying incidents more quickly and effectively, while also serving as an initial step in leveraging artificial intelligence technology to create a safer and more comfortable educational environment.

QRIS (Quick Response Code Indonesian Standard) has become a widely used national digital payment standard. User satisfaction with this service needs to be monitored continuously to ensure its sustainability. This study aims to predict the level of QRIS user satisfaction based on their experiences and perceptions expressed organically on the Twitter social media platform. The method used is sentiment analysis with the Naive Bayes classification algorithm implemented using RapidMiner software. The research data was obtained from Twitter user comments collected through web scraping techniques. The text data then went through a preprocessing stage that included cleansing, stopword filtering, stemming, and tokenizing to be prepared as features ready to be processed by the model. The data was divided into training (80%) and testing (20%) subsets for model training and validation. The results showed that the Naive Bayes model was able to predict user satisfaction sentiment with an accuracy of 80.99%. These findings indicate that the model is highly accurate in identifying satisfied comments and sufficiently sensitive in detecting dissatisfaction. This study concludes that sentiment analysis of Twitter UGC data using Naive Bayes is an effective and efficient approach for predicting QRIS user satisfaction in real time. The practical implication of this study is to provide an automatic feedback system for service providers to monitor public sentiment and take targeted corrective actions.

This study aims to analyze the skills gap in the era of the Industrial Revolution 4.0 and the factors influencing it. The research employed a descriptive-analytical approach based on literature studies and the author’s analysis of the dynamics of formal education curricula and the development of industrial needs. The findings indicate that formal education curricula that are less adaptive to technological developments are the main factor causing the skills gap. In addition, the slow adaptation to technology in educational and industrial environments, as well as the unequal distribution of skills development across various regions in Indonesia, further widen the gap between graduates’ competencies and labor market demands. This condition affects the low readiness of the workforce in facing digital transformation and global competition. The study concludes that the skills gap is a strategic issue requiring serious attention from the government, educational institutions, and the industrial sector. Curriculum reform that is responsive to technological advancements, strengthening digital literacy, and ensuring equal access to training and skills development are essential steps to improve the competitiveness of Indonesian human resources. These efforts are expected to support poverty reduction, reduce social inequality, and achieve the long-term national development goals toward Indonesia Golden Vision 2045.

Effective communication is essential for teamwork effectiveness in healthcare, particularly in inpatient units where patient care requires coordination among multiple professionals. Internal data from Hospital X showed that more than 50% of medical incidents in the last two years were related to miscommunication among healthcare workers. In addition, the 2024 employee satisfaction survey reported that workplace communication satisfaction was only 62%, below the hospital target of 75%. This study aimed to examine the influence of effective communication on teamwork effectiveness with interprofessional collaboration as an intervening variable at Hospital X.This study used a quantitative cross-sectional design involving 226 healthcare workers, including doctors, nurses, and medical support staff. Data were analyzed using the Three-Box Method and PLS-SEM. The findings revealed that effective communication significantly influenced teamwork effectiveness both directly and indirectly through interprofessional collaboration. Interprofessional collaboration also acted as a significant mediating variable between communication and teamwork effectiveness. These results indicate that communication is a key foundation for strengthening collaboration and improving teamwork in hospitals. Therefore, hospitals should enhance communication training and interprofessional collaboration programs to improve healthcare quality and patient safety

This study aims to analyze the role of teachers’ personality competence in shaping students’ learning environments through a literature review approach. Personality competence reflects teachers’ stable, mature, and authoritative character, enabling them to serve as role models for students and influencing the creation of a conducive learning environment both psychologically and socially. The method used is a literature review by analyzing various sources such as books, academic journals, and relevant official documents. The results show that teachers with positive personality traits are able to build harmonious relationships, create a comfortable classroom atmosphere, and enhance students’ learning motivation. Therefore, teachers’ personality competence is an important factor in supporting the quality of the learning environment and the success of the learning process. In addition, findings from various studies indicate that personality competence not only affects classroom interactions but also contributes to the development of students’ attitudes, discipline, and emotional stability. Teachers who demonstrate consistency, empathy, and integrity tend to foster a sense of trust and respect among students, which further strengthens classroom engagement. Moreover, a positive teacher personality helps reduce learning barriers such as anxiety, lack of confidence, and lack of participation in classroom activities. In the context of modern education, where student-centered learning is increasingly emphasized, teachers’ personality competence becomes even more essential in facilitating active learning and meaningful student involvement. Thus, strengthening teachers’ personality competence through training, reflective practice, and continuous professional development is crucial to improving overall educational quality and achieving optimal learning outcomes.

This study aims to develop a sentiment classification method for YouTube user comments related to the game Love and Deepspace using the Naïve Bayes algorithm, focusing on improving the text data processing and understanding user perceptions. Comment data were collected through scraping from YouTube videos, followed by preprocessing including text cleaning, normalization, stopword removal, stemming, and translation into English. Initial labeling was conducted using TextBlob, then the data were randomly sampled for training the Naïve Bayes model. Evaluation involved comparing sentiment distributions and visualization using Word Cloud and bar charts. The Naïve Bayes model achieved an accuracy of 77.36% in sentiment classification. The sentiment distribution shows differences between TextBlob (positive: 1,011, neutral: 1,312, negative: 575) and Naïve Bayes (positive: 901, neutral: 1,627, negative: 370), with Naïve Bayes being more conservative. The Word Cloud visualization identifies dominant words such as "bang," "game," and "main," while the bar chart shows the largest proportion of neutral sentiment. Naïve Bayes is effective for sentiment classification on informal comment data, with significant differences from rule-based methods like TextBlob. This research contributes to the development of text data processing techniques and user perception analysis, as well as opening up optimization opportunities with other algorithms like SVM for better accuracy.

Social media has evolved into a significant platform where consumers freely express their opinions, experiences, and levels of satisfaction regarding various products, including those offered by Micro, Small, and Medium Enterprises (MSMEs). The comments and reviews shared by customers on these platforms contain diverse sentiments that can serve as valuable indicators of how consumers perceive product quality. Understanding these sentiments is crucial for MSME owners, as it allows them to evaluate their products and adapt to market expectations more effectively. This study aims to analyze customer sentiment toward MSME products on social media by utilizing the Naïve Bayes algorithm, a widely used classification method in text mining. The data used in this research consist of customer comments collected from various social media platforms. The research process involves several stages, including data collection, manual labeling of sentiments, text preprocessing (such as tokenization, case folding, and stopword removal), and splitting the dataset into training and testing subsets. Subsequently, the classification process is carried out using the Naïve Bayes algorithm to categorize sentiments into positive, negative, and neutral classes. The results of this study demonstrate that the Naïve Bayes method is effective in classifying customer sentiments with a satisfactory level of accuracy. These findings provide a comprehensive overview of consumer perceptions regarding the quality of MSME products. Furthermore, this research is expected to assist MSME business owners in understanding customer feedback more systematically and using it as a basis for improving product quality and enhancing customer satisfaction in a competitive digital marketplace.

this study aims to evaluate the impact of capacity building for village officials in Anjir Seberang Pasar I Village on the effectiveness of village administrative and financial management following the implementation of Law No. 6 of 2014. The primary focus of the study is to measure changes in the competencies of village officials before and after the implementation of technical guidance, as well as the use of the Village Financial System (Siskeudes) application and Internet Banking Business. The research method used is qualitative with a case study approach, in which data collection was conducted through observation, interviews, and the completion of pre-test and post-test questionnaires by respondents consisting of the Village Secretary, Kaur, and Kasi. The results of the study indicate a significant increase in three key variables: perceived usefulness, perceived ease of use, and attitude toward using. Quantitatively, the average validation score from respondents reached 4.53 (on a 5.0 scale), which falls into the “Agree” category regarding the system’s effectiveness. Based on data analysis, the success rate of capacity building for village officials was recorded at 29.23%, with a final understanding rate reaching 91.33%. These findings indicate that practice-oriented and participatory training is capable of improving the technical skills and accountability of village officials in managing digital-based government administration. The integration of Siskeudes and digital banking has proven to have a positive impact on a safer and more transparent payroll system at the village level.

This study examines the role of halal tourism in enhancing destination competitiveness and strengthening the Islamic economy within the tourism sector. This research employs a systematic literature review to synthesize findings from relevant academic sources. The results indicate that halal tourism contributes significantly to destination competitiveness by increasing tourist arrivals and encouraging product diversification. In addition, it supports the development of micro, small, and medium enterprises (MSMEs) and promotes local economic growth through a multiplier effect. Halal tourism also fosters ethical business practices and sustainable tourism development aligned with Islamic principles. However, its implementation faces key challenges, including limited infrastructure, complex halal certification procedures, and perceptions of exclusivity among non-Muslim tourists. Therefore, strategic efforts are required to improve Muslim-friendly infrastructure, streamline certification processes, strengthen MSME capacity through training and digitalization, and adopt inclusive branding strategies. These measures are expected to enhance the competitiveness, resilience, and sustainability of halal tourism destinations in the global market.

This study aims to analyze the effectiveness of corporate zakat management in reducing economic inequality from the perspective of muamalah. The research employs a library research method with a qualitative-descriptive approach by examining various literature sources, empirical data, and regulations related to corporate zakat in Indonesia. The findings reveal that corporate zakat management achieves optimal effectiveness when zakat funds are distributed through a productive zakat scheme. This scheme is implemented through six main stages: preliminary surveys of beneficiaries, regular assistance, provision of business capital, business partner guidance, motivational training, and periodic evaluations of beneficiaries’ business development. However, practical implementation still faces several challenges. The allocation of funds for business capital among economically disadvantaged communities has only reached approximately 0.4%, while the majority of zakat funds, around 97.1%, are still utilized for consumptive assistance. This condition indicates that the economic empowerment function of zakat has not yet been fully optimized. Therefore, integrative solutions are required, including institutional strengthening through the establishment of Islamic microfinance units such as Baitul Maal wat Tamwil (BMT) internally, as well as stronger government regulations through tax deductible incentive policies externally to support the sustainable optimization of corporate zakat distribution.

The emergence of Large-Format Printing (LFP) technology has transformed global visual communication by enabling the production of large-scale, high-quality printed materials, significantly influencing Nigeria’s graphic design industry. This study aims to examine the impact of LFP on graphic design practice (GDP) in 21st-century Nigeria and propose strategies for sustainable development while addressing emerging challenges. A mixed-method approach was employed, with a primary qualitative focus through interviews and participant observation, supported by quantitative data collected using a Likert-scale questionnaire to assess designers’ perceptions of LFP’s influence. The findings reveal a dual impact. On the positive side, LFP has enhanced design scale, print quality, creative flexibility, and production efficiency, effectively overcoming the limitations of earlier methods such as letterpress printing, manual clamp offset printing, and hand-painted signboards. However, several challenges persist, including the oversaturation of practitioners, increased design piracy, and issues of color inconsistency, which undermine quality outcomes. These challenges highlight gaps in professional standards and regulation within the industry. The study concludes that while LFP has driven innovation and growth in Nigeria’s graphic design sector, its optimal benefits are constrained by the proliferation of unaccredited freelance designers. Therefore, the study recommends the implementation of targeted training programs and stricter professional accreditation systems through relevant regulatory bodies to ensure sustainable development and maximize the transformative potential of LFP technology.

The Village Fund Direct Cash Assistance Program (BLT-DD) is a social protection instrument designed to help low-income families meet their basic needs. However, its implementation often faces challenges such as targeting inaccuracies, limited data, and varying administrative capacity at the village level. This study aims to evaluate the implementation of BLT-DD using William N. Dunn’s six policy evaluation criteria through a Systematic Literature Review (SLR) approach, covering effectiveness, efficiency, equity, responsiveness, conceptual alignment, and implementation. The findings indicate that BLT-DD is fairly effective in helping households maintain consumption, yet its effectiveness and adequacy remain constrained by the amount of assistance and the quality of data collection. Program efficiency and responsiveness are relatively good in villages with sufficient governance capacity, while equity emerges as the weakest aspect due to inaccurate data verification. Conceptually, BLT-DD aligns with the needs of low-income communities, but implementation accuracy still requires reinforcement. Furthermore, the study highlights the need for more systematic monitoring mechanisms, cross-sectoral data integration, and administrative training for village officials to enhance service quality. Overall, BLT-DD provides valuable support but requires improvements in governance and data systems to optimize outcomes, including regular evaluation strategies and refinement of supporting regulations.

The results of the study show that pricing strategy contributes dominantly to increasing sales, but the lack of digital promotion causes limited market reach. Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in driving national economic development and providing employment. However, in facing an increasingly competitive market, MSMEs need to implement efficient marketing strategies to ensure sustainability and sustainable growth. This community service activity aims to provide knowledge and assistance to Indonesian Es Teh MSMEs regarding the implementation of flexible marketing strategies, both through digital and traditional channels. The activity took place at the Es Teh Kampung Solo outlet in Kramatwatu Square. The methods used included counseling, training, and assessment of marketing strategy implementation, with a primary focus on optimizing social media as an interactive and competitive digital promotional tool. The results of this activity demonstrated a significant increase in MSMEs' understanding of strategic marketing planning, promotional innovation, and the use of digital platforms to expand market reach. Thus, it is hoped that digital-based marketing strategies can strengthen the competitiveness and sustainability of MSMEs. This activity is expected to contribute to increasing the competitiveness and sales volume of the Kampung Solo Es Teh MSME in a sustainable manner through the implementation of a modern marketing approach that is responsive to technological changes.

This study aims to examine the effect of HR Analytics, competency development, and leadership support on employee performance with organizational agility as a moderating variable among employees of the Department of Industry and Trade of Lampung Province. This research employed a quantitative approach by distributing questionnaires and analyzing the data using SEM-PLS. The results show that competency development and leadership support have a positive and significant effect on employee performance, while HR Analytics has no significant effect. Organizational agility does not moderate the relationship between HR Analytics, competency development, leadership support, and employee performance. These findings suggest that while HR Analytics may not directly influence performance, the development of competencies and strong leadership support remain critical to enhancing employee outcomes. Furthermore, the lack of a moderating effect from organizational agility indicates that factors beyond agility, such as employee training programs and leadership practices, play a more crucial role in driving performance. This study highlights the importance of strengthening employee competencies and leadership support to improve employee performance in government institutions. Further research could explore other potential moderating factors in this context.

This study aims to analyze the effectiveness of legal capacity-building for Temporary Land Deed Officials (PPATS) in the preparation of land deeds in Aceh Besar Regency, Aceh Province. The research employs an empirical juridical method with a qualitative approach, utilizing data collection techniques including interviews, observation, and document analysis. This approach enables a comprehensive examination of both the normative framework and its practical implementation in the field. The findings indicate that the effectiveness of capacity-building for PPATS remains suboptimal, as the existing programs are largely administrative, incidental, and insufficient in addressing substantive legal aspects. Several factors influence this condition, including the non-legal educational background of PPATS, prevailing community legal culture, limitations in training programs, weak institutional coordination, and social pressures encountered in the practice of land deed preparation. These challenges contribute to a low level of material competence and legal prudence among PPATS in carrying out their duties. Accordingly, there is a need for a more sustainable, contextual, and competency-based capacity-building model to enhance the professionalism of PPATS. Such an approach is essential to strengthen their substantive legal understanding, improve the quality of land deeds, and ultimately support the realization of legal certainty in land administration services.

This study examines the influence of technology utilization, records management, infrastructure, and training on employee performance at the Regional Financial and Asset Management Agency (BPKAD) of Batam City. A quantitative approach with an associative design was employed to identify relationships between variables and measure their effects. The study involved 89 employees as respondents using a saturated sampling method to ensure all members of the population were included. Data were collected through structured questionnaires and analyzed using multiple linear regression along with F-test and t-test to assess both simultaneous and partial effects. The findings reveal that all independent variables simultaneously have a significant impact on employee performance, while individually technology, records management, infrastructure, and training also demonstrate significant positive effects. These results indicate that the effective use of digital systems, well-organized archival practices, adequate and supportive facilities, and continuous training programs play a crucial role in enhancing employee performance and productivity, as well as improving efficiency, accuracy, and overall organizational effectiveness. The study suggests that organizations should strengthen technological implementation, improve document management systems, provide sufficient work facilities, and conduct sustainable training programs to achieve optimal and long-term organizational outcomes.

This research was conducted to describe the condition of displaced communities who experience limitations in meeting basic needs, such as decent housing, access to education, and health services. Socio-economic inequality is the main factor that affects the quality of life of vulnerable groups, including children, adults, and the elderly. The Rumah Asa program is designed as an effort to provide protection, psychological support, and economic empowerment through skills training and health services according to needs. The research used a qualitative approach through interviews, field observations, and questionnaire dissemination to gain an in-depth understanding of the respondents' living situation. The research population consisted of displaced individuals who had the potential to become beneficiaries of the program. The data obtained were analyzed to identify patterns of vulnerability and intervention needs. The results showed that each respondent faced unstable socio-economic conditions, with limited income, lack of family support, and high health risks. The discussion showed that neglect is multidimensional and requires comprehensive interventions that include material, emotional, social, and health aspects. The conclusion of the study confirms that the Rumah Asa Program has great potential as a model of effective social intervention in improving the quality of life of vulnerable groups, as long as it is supported by the collaboration of the community, government, and social institutions.

Based on the analysis, (1) the support aspect has been implemented effectively, as evidenced by strong leadership commitment, policy support, the availability of facilities and infrastructure, adequate budget allocation, and solid inter-agency coordination, although technical constraints such as network disruptions remain. Further, (2) the capacity aspect is categorized as relatively adequate, reflected in the readiness of human resources, the availability of technological infrastructure, clear standard operating procedures, and the implementation of training programs, despite the need for further enhancement of technical competencies and network quality. Lastly, (3) the value aspect demonstrates highly positive outcomes, as the Warkop Samsat program provides significant benefits, including improved service quality, time and cost efficiency, service convenience, increased user satisfaction, and enhanced public compliance with motor vehicle tax payments In conclusion, public service innovation through the Warkop Samsat program in Gorontalo City has been effectively implemented, generating positive impacts for the community. However, further strengthening of technical aspects and capacity development is required to ensure the program's sustainability.

Digital transformation in the public sector encourages civil servants to utilize technology not only for administrative purposes but also to improve efficiency, accuracy, and work performance. This study examines the influence of Intelligent Learning-Based Training and Digital Training Components on the Digital Productivity of civil servants at the Bureau of Economic Affairs of the Regional Secretariat of Lampung Province, with Adaptive Competence serving as a mediating variable. A quantitative approach with a non-experimental survey design was applied, and data were collected through structured questionnaires distributed to employees engaged in digital-based work activities. The data were analyzed using structural model testing procedures. The findings reveal that Intelligent Learning-Based Training does not significantly influence Adaptive Competence or Digital Productivity. Conversely, Digital Training Components positively and significantly affect both Adaptive Competence and Digital Productivity. Adaptive Competence also has a positive impact on Digital Productivity and mediates the relationship between Digital Training Components and Digital Productivity. However, Adaptive Competence does not mediate the relationship between Intelligent Learning-Based Training and Digital Productivity. These results indicate that civil servants’ digital productivity is more effectively improved through practical, relevant, accessible, and well-evaluated digital training programs than through intelligent learning systems alone. Therefore, public institutions are encouraged to develop digital training initiatives that align with employees’ daily work demands while strengthening their adaptive competence in responding to technological changes.

Digitalization in the healthcare sector is a strategic step to enhance efficiency, accuracy, and service quality. One of the key innovations gaining significant attention is the use of Electronic Medical Records (EMR). Purpose: This study aims to analyze nurse competence, social influence, and usability on actual use electronic medical record with perceived ease of use as intervening variable at Satya Negara Hospital. Methods: The research method used a quantitative approach with a cross-sectional design, involving 108 nurses as respondents selected through a saturated sampling technique. Data were collected using a questionnaire and analyzed using a Structural Equation Model (SEM) based on Partial Least Squares (PLS). Findings: The results indicate that nurse competence, social influence, and usability significantly affect the actual use of EMR. Additionally, perceived ease of use mediates these relationships, enhancing the adoption and utilization of EMR systems. Implications: The managerial implications of this study include the need to enhance nurse competency training, strengthen social support in the workplace, and improve the usability of the Electronic Medical Records (EMR) system to encourage more optimal use. This study also contributes to the development of literature on health information technology implementation by integrating human, social, and technical factors into the analytical model.