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Martial arts training centers are essential facilities that support the technical, physical, and mental development of athletes. This study aims to identify the facility requirements and architectural design criteria for martial arts training centers in Surabaya. A qualitative descriptive method was employed, utilizing literature reviews, field observations, and interviews with relevant stakeholders. The findings indicate that the required facilities include a main training area, supporting spaces, and operational support facilities, all of which must be designed in accordance with the specific characteristics of each martial art discipline. Furthermore, the implementation of appropriate zoning systems and design criteria—such as flexibility, safety, comfort, and functional integration—plays a significant role in enhancing the effectiveness of the training environment. Properly designed facilities not only accommodate diverse training needs but also contribute to optimizing athlete performance. Therefore, a comprehensive architectural approach is necessary to ensure that martial arts training centers can function efficiently and sustainably in supporting long-term athlete development.

The rapid development of digital technology has significantly transformed social interaction and learning processes in rural communities. Uncontrolled smartphone usage has led to low digital literacy and heightened risks of social media misuse among children and adolescents. This community service program, through the Community Service Program (KKN), aimed to improve digital literacy and establish a Learning Center (Pondok Belajar) as an educational space within the village. The methods included observation, socialization, digital literacy training, and academic mentoring for children. The results demonstrated an increase in community awareness regarding the responsible use of smartphones and enhanced learning motivation among children through the Learning Center activities. This program illustrates that the synergy between digital education and learning support can be a concrete step toward building a smart and competitive village in the digital era. The initiative highlights the importance of combining technology education with community-based programs to foster a more informed and empowered population in rural areas.

The tourism industry's rapid growth has intensified competition in the accommodation sector, making human resource (HR) quality a decisive factor in guest house service excellence. This study examines the competitive HR characteristics of Rumah Tamu Romana in Kewapante District, Sikka Regency, based on direct field observation. Five key indicators were assessed: competence, adaptability to change, innovation and creativity, integrity and work ethics, and communication skills. Results indicate that staff demonstrate adequate operational knowledge and consistent adherence to standard operating procedures. However, gaps remain in digital technology adoption, particularly online booking systems. Adaptability is satisfactory, supported by open internal communication. Innovation potential exists in room decoration and independent problem-solving. Integrity and discipline stand out as the strongest indicators, with high attendance and guest privacy protection. Communication skills are effective for domestic guests, with basic English competency for international visitors. The study recommends structured training programs, innovation forums, mentoring, and institutional partnerships to develop more competitive HR capabilities.

Surabaya is one of the metropolitan cities in Indonesia with significant potential for the development of sports performance and the improvement of public health quality. The advancement of modern sports requires a sport science–based approach that integrates training, health, technology, and research aspects. However, the lack of integrated sport science facilities remains a major challenge. Therefore, proper site selection is a crucial factor in the design of a Sport Science Center. This study aims to formulate appropriate site selection criteria for the design of a Sport Science Center in Surabaya. The research method used is descriptive qualitative, employing literature studies, site observations, and comparative analysis of alternative sites based on predetermined criteria. The results indicate that the main site selection criteria include accessibility, proximity to supporting facilities, compliance with spatial planning regulations, environmental conditions, land area, and future development potential. Based on the analysis, the Middle East Ring Road (MERR) area in Surabaya is considered the most suitable location for the development of a Sport Science Center.

This research is motivated by the urgency of effective Islamic Education Management (MPI) as a prerequisite for enhancing the role of Islamic Education (PAI) teachers in shaping students’ religious character amid the challenges of digitalization and institutional coordination constraints. The purpose of this study is to analyze the implementation of MPI experienced by PAI teachers, the interaction among stakeholders, and the teachers’ perceptions of its effectiveness at PKPPS Minhajurrosyidin, East Jakarta. Using a descriptive qualitative method with a case study and phenomenological approach, data were collected through triangulation (interviews, observations, and document studies) and analyzed using the Miles and Huberman interactive model. The findings indicate that MPI is an essential structural mediating variable. The optimization of MPI—particularly in terms of digital facility support and professional training—significantly enhances the effectiveness of PAI teachers as Uswah Hasanah and as facilitators of adaptive and scientific learning. However, the main obstacle lies in the lack of horizontal coordination among teachers in holistically integrating Values-Based Education. The implications of this study emphasize the need for formal managerial policies to ensure collective responsibility in character formation.

Digital revolution and the disruption of the global labor market have made public organizations, especially vocational training institutions, even more complicated. This study seeks to examine the impact of dynamic skills on institutional resilience, with innovative leadership serving as a mediating variable. The study employed a quantitative methodology, utilizing data collected from 180 employees at the Medan Vocational and Productivity Training Center (BBPVP). We used Structural Equation Modeling based on Partial Least Squares (SEM-PLS) to look at the data. The findings indicate that dynamic capabilities exert a positive and significant influence on institutional resilience, underscoring the necessity for an organization to identify, capitalize on opportunities, and adapt to change. Dynamic qualities also have a big effect on inventive leadership, which is very important for making organizational change happen. Innovative leadership demonstrably influences institutional resilience and serves as a partial mediator between dynamic capabilities and institutional resilience. This research offers a theoretical advancement by synthesizing institutional theory, dynamic capacities, and innovative leadership to elucidate public organizational resilience. In practical terms, the findings of this study have significant significance for enhancing the adaptive capacity of vocational training institutions in the context of digital disruption.

Management of hazardous and toxic waste (B3) in hospitals is an important aspect of maintaining environmental health and preventing pollution risks. RSUD Jenderal Ahmad Yani Metro has implemented hazardous waste management using the reduce, reuse, recycle (3R) concept; however, its implementation has never been comprehensively evaluated. This study aimed to evaluate the management of hazardous waste using the 3R concept at RSUD Jenderal Ahmad Yani Metro based on the Regulation of the Minister of Environment and Forestry No. P.56/Menlhk-Setjen/2015 and to identify the supporting factors. This research used a qualitative design with a case study approach. The research informants consisted of 23 participants selected using purposive sampling, including the hospital director, ward heads, IPCN, sanitation officers, 3R waste management officers, and sanitation operators. Data were collected through observation, in-depth interviews, and document review using interview guidelines and checklists. Data analysis was conducted using the Miles and Huberman model, including data reduction, data display, and conclusion drawing. The results showed that the transportation, storage, and processing stages of hazardous waste management were in accordance with the Regulation of the Minister of Environment and Forestry No. P.56/Menlhk-Setjen/2015. However, the sorting and containerization processes were not fully compliant because recyclable waste was still mixed with other hazardous waste. In addition, several supporting factors were identified, including the lack of training and certification among human resources, inadequate infrastructure, and the absence of technical guidelines and standard operating procedures for the 3R waste bank. Therefore, improving human resource capacity, infrastructure, and internal hospital regulations is necessary to optimize 3R-based hazardous waste management.

Micro, Small, and Medium Enterprises (MSMEs) play a strategic role in promoting economic growth and improving community welfare, particularly at the regional level. In Nagekeo Regency, the ikat weaving craft sector represents an important local economic potential that also carries significant cultural value. However, weaving entrepreneurs still face several challenges, including limited business capital, restricted market access, and low utilization of digital technology for product marketing. This study aims to analyze the role of the Department of Cooperatives, Industry, and Trade of Nagekeo Regency in empowering MSME actors, particularly ikat weaving groups. The research employs a qualitative approach with a descriptive research design. The study involved 18 informants consisting of local government officials, MSME actors, and institutional partners selected through purposive sampling. Data collection techniques included observation, in-depth interviews, and documentation, while data analysis was conducted through data reduction, data presentation, and conclusion drawing. The findings indicate that the department performs facilitative, educative, and technical roles in empowering weaving groups through production training, digital marketing assistance, provision of business facilities, and technical guidance on product innovation. These programs contribute to improving weavers’ skills, product quality, and market opportunities, although their implementation still faces limitations related to budget constraints and uneven program coverage.

Bureaucratic reform in Indonesia has encouraged the strengthening of civil service management oriented toward performance through the policy of appointing Government Employees with Work Agreements (PPPK) in order to improve the effectiveness of public organizations. This study aims to analyze the performance of PPPK in supporting the implementation of tasks at the Environmental Agency of Jambi City by using Mangkunegara’s performance theory as the analytical framework. This research employs a qualitative approach with a descriptive method. Data were collected through in-depth interviews and documentation, and then analyzed using data reduction, data display, and conclusion drawing techniques. The results show that the performance of PPPK is generally in the good category and contributes positively to organizational effectiveness. This is reflected in the aspects of work quality, work quantity, and responsibility as explained in Mangkunegara’s performance theory. The alignment between job placement and competence, increased work motivation due to employment status certainty, and organizational support through training and coaching are the main factors supporting performance optimization. However, there are still constraints, particularly the suboptimal understanding of main duties and functions, thus requiring strengthened organizational communication and continuous capacity development. This study confirms that competency-based management and systematic development of PPPK play an important role in improving the effectiveness of task implementation in the public sector.

The purpose of this study was to determine the characteristics of livestock farmers and analyze livestock farmers' preferences for the breed of beef cattle raised in Benus Village, Naibenu District, TTU Regency. This study employed a survey method. The research location determination technique used a purposive technique (intentionally) with Benus Village as the village with the highest beef cattle population in Benus District, North Central Timor Regency. The sample of livestock farmers consisted of 60 farmers. The research data consisted of primary and secondary data. Data analysis was descriptive quantitative. The results of the study showed that the majority of livestock farmers were 18-64 years old (83%), male farmers (56.67%), the highest level of education was elementary school (55%), all farmers had their own livestock ownership status (100%), the dominant livestock ownership was 1-4 heads, with the majority of farmers also working as farmers (57%), 90% of farmers had livestock farming experience of more than 1-10 years, the largest number of family dependents was 4-6 people (61.67). The type of beef cattle raised is Bali cattle (100%), breeders prefer female cattle (68%), the age of adult female cattle is 2-4 years (40%), the dominant coat color is brick red and white (76.67%), and the body weight is medium (61.67%). The conclusion of this study is that there is a need for improvements in the characteristics of breeders in the form of training and breeder preferences can be used as a guideline in increasing the number of beef cattle populations.

The hospital laundry installation is a non-medical supporting unit with a high risk of occupational health and safety (OHS) hazards due to direct exposure to chemicals, machinery, and contaminated linen. Potential hazards in this unit include physical (heat, noise), chemical (detergents and disinfectants), biological (viruses and bacteria from linen), and ergonomic (improper working posture) risks. This study is a descriptive quantitative research with a semi-quantitative approach. The aim is to identify, assess, evaluate, and control OHS risks in the laundry unit. Data were collected through observation, interviews, and document review with seven laundry staff members. Risk assessment was conducted using a risk matrix based on the AS/NZS 4360:2004 standard. The results show that several risks ranged from low to very high levels, including infection from linen, chemical exposure, noise, and injury from machinery. Risk control measures implemented include applying the hierarchy of controls, starting from elimination, substitution, engineering controls, Administratif controls, and the use of personal protective equipment (PPE). It is concluded that improvements in supervision, staff training, and facility upgrades are necessary to minimize occupational accidents in the laundry installation.

Micro, Small, and Medium Enterprises (MSMEs) constitute the backbone of Indonesia's national economy, contributing approximately 61% of GDP and absorbing 97% of the total workforce; however, the majority of MSME actors, particularly in eastern Indonesia, continue to face structural barriers in digital technology adoption and capital access that constrain optimal business performance. This study aims to analyze the partial and simultaneous effects of marketing digitalization and business capital on MSME performance in Ambon City. A quantitative approach with associative-causal design was employed, involving 30 respondents selected through purposive sampling from active MSME operators in Ambon City. Data were collected via a five-point Likert scale questionnaire and analyzed using multiple linear regression with IBM SPSS version 26, preceded by validity, reliability, and classical assumption tests. Results demonstrate that marketing digitalization exerts a positive and significant partial effect on MSME performance (t = 8.060; sig. = 0.000; β = 1.061), establishing it as the most dominant predictor in the model. Conversely, business capital shows no significant partial effect (t = 0.746; sig. = 0.462), attributable to the homogeneity of capital access among MSME actors in archipelagic regions. Simultaneously, both variables significantly influence MSME performance (F = 287.070; sig. = 0.000), with an exceptionally high R Square of 0.955, indicating that 95.5% of performance variance is collectively explained by the two predictors. These findings underscore the critical role of digital marketing capabilities over financial resources alone in archipelagic contexts. It is recommended that the Ambon City Government integrate digital marketing literacy training programs synergistically with inclusive financing schemes to comprehensively strengthen MSME competitiveness across the Maluku archipelago.

Object detection plays a crucial role in intelligent transportation systems, particularly for outdoor traffic monitoring applications that require accurate and real-time performance under limited computational resources. Recent developments in YOLO-based architectures have introduced multiple model variants; however, their practical performance under constrained training conditions remains insufficiently explored. This study presents a comparative evaluation of YOLOv5, YOLOv7, and YOLOv8 for outdoor traffic object detection using a real-world dataset and identical experimental settings. The main objective of this research is to analyze the robustness and detection quality of different YOLO variants when trained with a limited number of epochs, reflecting practical deployment scenarios. All models were trained and evaluated using the same dataset, preprocessing pipeline, and hardware configuration to ensure a fair comparison. Performance evaluation was conducted using multiple metrics, including precision, recall, mAP@50, Precision–Recall curves, area under the curve (AUC), and peak F1-score. Experimental results indicate that YOLOv5 outperformed YOLOv7 and YOLOv8 in terms of overall detection stability and robustness. The merged Precision–Recall analysis shows that YOLOv5 achieved a higher effective AUC and superior mAP@50, reflecting better global detection performance. In addition, YOLOv5 exhibited a higher peak F1-score, indicating a more balanced trade-off between precision and recall. In contrast, YOLOv7 and YOLOv8 showed performance degradation under limited training conditions despite their more advanced architectures. These findings suggest that YOLOv5 remains a reliable and efficient solution for outdoor traffic object detection, particularly in resource-constrained environments. The study highlights the importance of comprehensive evaluation metrics and practical experimental settings when selecting object detection models for real-world applications.

Object detection plays a crucial role in intelligent transportation systems, particularly for outdoor traffic monitoring applications that require accurate and real-time performance under limited computational resources. Recent developments in YOLO-based architectures have introduced multiple model variants; however, their practical performance under constrained training conditions remains insufficiently explored. This study presents a comparative evaluation of YOLOv5, YOLOv7, and YOLOv8 for outdoor traffic object detection using a real-world dataset and identical experimental settings. The main objective of this research is to analyze the robustness and detection quality of different YOLO variants when trained with a limited number of epochs, reflecting practical deployment scenarios. All models were trained and evaluated using the same dataset, preprocessing pipeline, and hardware configuration to ensure a fair comparison. Performance evaluation was conducted using multiple metrics, including precision, recall, mAP@50, Precision–Recall curves, area under the curve (AUC), and peak F1-score. Experimental results indicate that YOLOv5 outperformed YOLOv7 and YOLOv8 in terms of overall detection stability and robustness. The merged Precision–Recall analysis shows that YOLOv5 achieved a higher effective AUC and superior mAP@50, reflecting better global detection performance. In addition, YOLOv5 exhibited a higher peak F1-score, indicating a more balanced trade-off between precision and recall. In contrast, YOLOv7 and YOLOv8 showed performance degradation under limited training conditions despite their more advanced architectures. These findings suggest that YOLOv5 remains a reliable and efficient solution for outdoor traffic object detection, particularly in resource-constrained environments. The study highlights the importance of comprehensive evaluation metrics and practical experimental settings when selecting object detection models for real-world applications.

The digital era demands a fundamental transformation in the role of early childhood educators, shifting from passive technology consumers to active architects of digital literacy. However, the dominance of technocentric views often acts as a substantial psychological and pedagogical barrier for teachers in regional areas. This collaborative community service project aims to reconstruct the paradigm of 50 kindergarten teachers in Bulukumba Regency by integrating "unplugged coding" logic and deep learning into play-based learning. Utilizing a Product-Based Intensive Training method with a "Logic over Laptop" strategy, the program focused on deconstructing technology-related stigmas and reconstructing teachers' ability to transform abstract concepts into safe, concrete media for children. Data analysis revealed a significant shift in teacher paradigms; while the majority were initially in the "less successful" category, 100% of participants reached positive categories (successful and very successful) post-intervention. Statistically, the program's effectiveness was evidenced by a dramatic increase in mean scores from 18.04 to 31.24 (p < 0.05) and an N-Gain score of 0.778, classified as highly effective. Furthermore, the partner satisfaction index reached 4.82 (very satisfied), confirming that the tri-campus collaboration model (STAI Al-Gazali, UNM, and Unismuh) is highly relevant to the implementation of the Merdeka Belajar curriculum. This project concludes that strengthening digital literacy through non-digital algorithmic reasoning effectively dismantles technical barriers for teachers while ensuring the safety of child development in the digital age.

The agricultural sector plays a strategic role in meeting food needs while maintaining environmental sustainability and community welfare. However, conventional farming practices that rely on chemical inputs have caused various problems, such as soil degradation, loss of biodiversity, and environmental pollution. This condition has encouraged the adoption of the Sustainable Agriculture concept, which emphasizes a balance between ecological, economic, and social aspects. Its successful implementation is strongly influenced by farmers’ perceptions as the main actors. This study aims to analyze rice farmers’ perceptions of the implementation of Sustainable Agriculture in swampy areas of Tebas District, Sambas Regency. The research was conducted from October to November 2025 using a survey method involving 95 farmers selected through the Slovin formula and proportional random sampling technique. Data were collected through observation, interviews, and Likert-scale questionnaires, and analyzed using descriptive analysis and binary logistic regression. The results show that farmers’ perceptions are generally positive, particularly regarding water management, variety selection, and cropping patterns. However, the use of organic fertilizers, environmentally friendly pest control, and post-harvest management are still considered difficult. Education level and non-farming occupations significantly influence farmers’ perceptions. Therefore, enhancing extension services, training, and support for business diversification is necessary to promote the adoption of Sustainable Agriculture.

Gillnet fisheries play an important role in supporting the local economy and the welfare of coastal communities. However, fishermen still face challenges related to unequal access to livelihood assets and high vulnerability to external factors such as seasonal changes, catch fluctuations, market pressures, and environmental conditions. This study aimed to analyze the level of vulnerability, identify livelihood assets, and formulate strategies for sustainable livelihood development among gillnet fishing communities. The study was conducted in Margasari and Muara Gading Mas Villages in September 2025 using a mixed-method approach, combining questionnaires, in-depth interviews, and field observations. Samples were selected through purposive sampling, and data were analyzed using descriptive quantitative and qualitative methods supported by a Likert scale. The results showed that fishermen’s vulnerability is relatively high (54.5%), affecting income stability. Social (81.4%) and natural (78.7%) assets are relatively strong, while human (38.6%), physic (48.3%), and financial (43.20%) assets remain relatively low. Limited education, lack of training, and restricted access to financial resources are the main constraints, leading to low adaptive capacity and limited livelihood diversification. Recommended strategies include improving human resource capacity, strengthening access to financial capital, and developing livelihood diversification based on local potential. These efforts are expected to enhance household economic resilience and support sustainable livelihoods among gillnet fishing communities.

The Sunter C Polder/Pump construction project is a strategic effort to address flooding issues by increasing drainage system capacity. This project involves various high-risk construction activities that have the potential to cause workplace accidents and health issues. This study aims to identify hazards, assess risk levels, and determine control measures. The HIRADC (Hazard Identification, Risk Assessment, and Determining Control) method involves a systematic identification of potential hazards at the project site, risk assessment based on impact and probability, and the formulation of appropriate control recommendations. This is a descriptive study designed to illustrate Occupational Health and Safety (OHS) hazards and risks, located at the Sunter C polder/pump construction project. The research was conducted from January to May 2025. Data were collected through interviews, observations, and information obtained directly from internal company documents. The results indicate that the application of the HIRADC method accurately identifies various primary hazards, such as the risk of falls, being struck by materials, chemical exposure, and ergonomic issues. The risk assessment suggests that most activities fall under the medium to high-risk categories, necessitating controls such as the use of Personal Protective Equipment (PPE), OHS training, and routine monitoring of working conditions. The implementation of the HIRADC method in this project is proven to enhance the culture of occupational health and safety and can serve as a reference for other construction projects in managing operational risks effectively.

Mojorejo Village has the potential to develop oyster mushroom cultivation. However, with increasing production, mushroom baglog waste also increases and often becomes an environmental problem. Local residents lack the knowledge to utilize this waste optimally. To this end, outreach and training were conducted on making charcoal briquettes from mushroom baglog waste. This processing process allows baglog waste to be converted into a value-added product, namely charcoal briquettes. In addition to providing an effective waste management solution, this training also opens up new business opportunities for the community. The approach used in this activity is the ABCD (Asset Based Community Development) method, which focuses on empowering local potential. The results of the outreach showed that the resulting charcoal briquettes have good combustion quality and have the potential to be an environmentally friendly fuel. It is hoped that this training will reduce the accumulation of baglog waste and provide economic and environmental benefits for the residents of Mojorejo Village.

This community service activity aims to analyze the effectiveness of Time and Motion Study in the production process at PT. Adis Dimension Footwear and provide recommendations for improving work methods. This study employed a qualitative descriptive approach using observation, interviews, and documentation. The results show that implementing Time and Motion Study can enhance work time efficiency, optimize operator movements, and increase productivity by up to 15%. Reducing unnecessary movements, optimizing workflow, and training operators significantly improve production performance. The success of this method depends heavily on socialization, training, and management support. These findings confirm that Time and Motion Study serves not only as a tool for measuring time and movements but also as a strategic instrument for improving efficiency, reducing waste, and increasing overall productivity.