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This paper was written with the aim of analyzing the role of stevedoring workers (TKBM) in loading and unloading activities carried out by the Loading and Unloading Company (PBM) FT. Gelora Perkasa Belawan. In collecting data, the author utilized two approaches, namely field research and library research. Labor efficiency is a key factor in increasing operational productivity in the port sector, however, various problems are often found such as delays, low productivity, and work inefficiencies caused by weak monitoring and performance monitoring systems. In this study, a qualitative approach was used through field methods and library methods, on the operational activities of TKBM in the company. The results of the study indicate that the implementation of structured work and periodic evaluations can improve work discipline, accelerate loading and unloading times, and reduce operational costs. In addition, the role of management in providing constructive feedback and periodic training has also proven effective in supporting labor efficiency. Thus, optimizing the role of TKBM will have a direct impact on improving the performance of PBM PT. Gelora Perkasa Belawan, which ultimately contributes to the smooth flow of goods and economic growth in the Belawan port area.

This study evaluates the effectiveness of the Free Nutritious Meal Program (MBG) in improving students' cognitive abilities based on nutritional status in Brangsong Village, Indonesia. The research used a mixed-methods approach, combining quantitative and qualitative designs. Quantitative data were collected from 30 student beneficiaries via questionnaires and analyzed using descriptive statistics and Pearson correlation coefficients. Qualitative data were gathered through in-depth interviews with managers of the Nutrition Fulfillment Service Unit (SPPG), school authorities, students, and parents, and analyzed thematically. The results show a positive and significant relationship between nutritional status and academic achievement, but no significant relationship with students' cognitive ability. Nutrient intake, however, was positively and significantly associated with both cognitive ability and academic achievement. The strongest relationship was observed between cognitive ability and academic achievement. These findings suggest that the MBG program effectively supports academic achievement by improving nutrient intake and cognitive ability. However, its impact on students’ nutritional status has not been uniformly distributed.

This study aims to analyze the public relations strategy of the Dinas Komunikasi and Informatika Kabupaten Sragen in promoting “Jelajah Sukowati” on the Sragenkab.go.id website. This study uses a descriptive qualitative approach. The data source for this study is the Sragenkab.go.id website. The data in this study consists of interviews with informants and photo documentation uploaded to the Sragenkab.go.id website. Data collection techniques include observation, interviews, and documentation. The data analysis technique uses four data analysis techniques based on the Miles and Huberman model, namely data collection, data reduction, data presentation, and conclusion drawing (verification). The results of the study show that the Public Relations Dinas Komunikasi and Informatika Kabupaten Sragen has implemented these four strategies through problem identification, program planning, program implementation, and program success evaluation. In addition, SWOT analysis shows that public relations has utilized its strengths and opportunities, although there are still several weaknesses, such as inconsistent posting times and the lack of a comment section for the public, which is used as a benchmark for the success of the strategies implemented. The implementation of the public relations strategy of the Public Relations Dinas Komunikasi and Informatika Kabupaten Sragen has proven to be a bridge between the people of Sragen Regency and the Sragen Regency government in publications related to regional potential.

Bullying is a psychosocial hazard that can occur in the school environment and may negatively affect students’ mental health, social interactions, and learning processes. Bullying can take various forms, including physical, verbal, and psychological actions that occur repeatedly and cause victims to experience emotional distress, decreased learning motivation, and feelings of insecurity at school. This Community Service Program (PKM) aimed to increase high school students’ knowledge and awareness regarding the dangers of bullying and its prevention through the principles of Occupational Safety and Health (OSH). The methods used in this activity included delivering educational materials through lectures, conducting question-and-answer sessions to assess students’ initial understanding, and facilitating interactive discussions to encourage active participation. Monitoring and evaluation were also conducted to assess the effectiveness of the activity. The results of the program indicated a significant improvement in students’ understanding and awareness of the forms, impacts, and prevention strategies related to bullying in the school environment. Students also demonstrated a more critical attitude toward bullying behavior and a greater awareness of the importance of creating a safe, healthy, and respectful school environment. The application of an OSH-based approach in bullying prevention is expected to strengthen the safety culture in schools and support the development of a conducive learning environment for all students.  

The results of the 2022 PISA indicate that science skills and interest in Indonesia are still low. One way to increase interest in science is by introducing inventor figure of science and techonology. However, alternative learning media that are communicative and relevant to adolescents' media consumption habits are needed. Therefore, this study aims to design a character design for an inventor in the field of science and technology for a Webtoon comic as an educational tool for adolescents aged 15–18. This study used qualitative and quantitative methods. The qualitative method was used to understand the needs and interests of the target audience and to gather information from the literature for scientific sources in designing the inventor character. The quantitative method was used as one of the character design evaluation criteria, based on voting results by adolescents aged 15–18. The character design used Marika Nieminen's principles: demographics, silhouette and shape, color, and characteristics. Several alternatives were used to generate character designs, which were then evaluated to determine the final design. The character design evaluation will be assessed using several variables within an evaluation framework.

This study aims to evaluate the performance of digital information systems, including websites and mobile applications, used by national expedition companies in Indonesia, using standardized technical indicators from Google Web.dev. This research employs a descriptive and evaluative approach with purposive sampling. The research objects comprise five major national expedition companies: JNE, J&T Express, SiCepat, Pos Indonesia, and Lion Parcel. The evaluation is conducted using four main indicators: Performance, Accessibility, Best Practices, and Search Engine Optimization (SEO). The results indicate that, in general, the digital information systems of national expedition companies function adequately; however, there are notable performance variations among companies, particularly in terms of loading speed and mobile performance. Pos Indonesia demonstrates the most balanced overall performance, while several other companies require further optimization, especially in performance efficiency and SEO. This study contributes to the literature by providing an objective technical evaluation of expedition information systems and offering practical recommendations to improve digital service quality, enabling faster, more secure, and more responsive logistics services in a highly competitive industry.

This research benchmarks multiple machine learning (ML) algorithms for large-scale loan default prediction using a real-world dataset of 255,000 borrower records, where default cases represent only ~9–12% of total observations. The study addresses the persistent gap in comparative analyses of ML models that balance predictive accuracy, interpretability, and computational efficiency for credit risk assessment. Six algorithmic families were evaluated Logistic Regression, Random Forest, XGBoost, LightGBM, CatBoost, Artificial Neural Networks (ANN), and Stacked Ensemble—using standardized preprocessing, hybrid imbalance handling (SMOTE, class weighting, under-sampling), and comprehensive evaluation metrics (AUC, F1, Recall, Precision, PR-AUC, and Brier Score). Empirical results show Logistic Regression achieved the highest AUC of 0.732, outperforming nonlinear models under the baseline configuration, while LightGBM attained perfect recall (1.0) but low precision (0.116), indicating over-prediction of defaults. Gradient boosting models demonstrated robust calibration (Brier ≈ 0.114–0.116) and the best computational efficiency, with LightGBM showing the fastest training and lowest memory use. CatBoost exhibited strong recall but the slowest computation, and ANN underperformed on tabular data (AUC ≈ 0.56). The Stacked Ensemble delivered balanced results with AUC = 0.664 and improved overall stability. These findings confirm that boosting-based models, particularly LightGBM and CatBoost, offer superior scalability and calibration, whereas Logistic Regression remains a valuable interpretable baseline. The study concludes that effective default prediction requires integrating rebalancing, calibration, and threshold optimization to enhance recall and operational deployment reliability in large-scale credit ecosystems.

High-dimensional clinical data exhibit complex and non-linear relationships among patient attributes, where outcomes are often influenced by feature interactions rather than isolated variables. However, many existing machine learning models prioritize predictive performance while providing limited interpretability and insufficient insight into interaction structures. This study aims to address this limitation by developing an interpretable and robust framework for feature interaction mining in clinical data. We propose a hybrid tree–neural modeling framework that explicitly captures and ranks feature interactions while maintaining stable predictive performance. Tree-based ensemble models are employed to identify non-linear interaction patterns, while neural representations enhance learning flexibility and generalization. The framework integrates interaction importance analysis, cross-validation–based stability assessment, and evaluation across multiple data splits to ensure robustness and interpretability. Experiments conducted on a real-world high-dimensional clinical dataset demonstrate that the proposed approach achieves consistent predictive performance, with AUC values ranging from 0.628 to 0.641 across five cross-validation folds (mean AUC ≈ 0.633). Performance remains stable under varying train–test splits, indicating strong generalizability. Interaction analysis reveals that a small number of dominant feature interactions—such as age combined with length of hospital stay and medication count combined with diagnostic information—consistently contribute to model predictions, appearing in over 80% of validation folds. Ablation studies further confirm that removing interaction-aware components leads to noticeable performance degradation, highlighting their importance.  In conclusion, this study demonstrates that explicit feature interaction modeling enhances interpretability, stability, and generalization in clinical prediction tasks. The proposed hybrid framework provides a reliable foundation for developing trustworthy and transparent clinical decision-support systems

Explainable artificial intelligence (XAI) has become a critical requirement in cybersecurity due to the high-stakes nature of security decision-making and the limitations of black-box learning models. This study investigates the construction of an explainable cybersecurity knowledge representation by leveraging standardized terminology from the NIST cybersecurity glossary. The primary problem addressed is the lack of transparent and semantically grounded reasoning mechanisms in existing AI-driven cybersecurity systems, which limits trust, accountability, and analyst adoption. To address this challenge, we propose a NIST-based semantic knowledge graph that embeds explainability directly into its ontology structure and reasoning process. The proposed framework systematically extracts definitional entities and relations from NIST glossary entries to construct a domain ontology and a multi-relational knowledge graph. A rule-based semantic relation extraction method is employed to ensure faithful, interpretable, and reproducible reasoning paths. The resulting knowledge graph contains over 3,000 cybersecurity concepts and approximately 27,000 semantic relations, covering hierarchical, associative, dependency, and mitigation semantics. Experimental evaluation demonstrates that the proposed approach achieves a high level of explainability, with 92.4% of reasoning outcomes being fully traceable and only 1.4% classified as non-traceable. Most explainable reasoning paths are limited to two or three hops, indicating an effective balance between inferential depth and human interpretability. Structural analysis further confirms the presence of meaningful hub concepts that support multi-hop semantic inference. These results confirm that ontology-driven, standard-based knowledge graphs provide a robust foundation for explainable cybersecurity intelligence. The study concludes that explainability-by-design, grounded in authoritative standards, offers a viable and trustworthy alternative to opaque AI models for cybersecurity applications.

Swanggi fish (Prianchantus tayenus) is one of the important commodities that are widely caught at the Perikanan Nusantara Port (PPN) Brondong, Lamongan, East Java. Increased fishing acivity is feared to cause excessive pressure on fishery resources that could potentially cause overfishing. This study aims to analyze the level and status of swanggi fish utilization. The method used in this research is descriptive quantitative with a fox production surplus model approach to calculate Maximum Sustainable Yield (MSY), Totl Allowable Catch (TAC), and utilization rate. The data analyzed were the catch abd effort of swanggi fishing from 2015 to 2024. The result showed that the Maximum Sustainable Yield (MSY) value of Swanggi fish was 14,486,042 kg/year with an optimum effort F MSY of 11,689 trips/catch and TAC of 11,588,833 kg. the utilization rate of swanggi fish during 2015 to 2024 reached 105%. The value of the utilization status of swanggi fish is 85% which can be categorized that the exploitation of swanggi fish resources is Full Exploited. Therefore, sustainable fisheries management is needed through effort limitation and gear evaluation to maintain the sustainability of swanggi fish resources in PPN Brondong.

Leadership is the key to success in educational institutions, transformational leadership always emphasizes the vision, mission, and goals of the institution and motivates all school members to cooperate in advancing the institution. Transformational leadership implemented at SMAN 2 and MAN 2 Kediri City is able to bring positive changes and encourage better achievements. Educational institutions whose leaders implement transformational leadership tend to be more active and adaptive to change. This research model uses a qualitative approach with a multi-case study design. Data collection techniques use in-depth interviews, participant observation, and documentation. Data analysis techniques use condensation, data display, and drawing conclusions. The findings are that the principal drives teacher professionalism by encouraging followers to imitate his positive behavior, be flexible, and form a personal commitment to organizational transformation. The principal acts as an inspiring motivator by providing inspirational motivation, building effective communication, and consolidating the strength of followers to support transformation.Principals hone teachers' intellectual abilities by involving them in decision-making, preparing them for challenges, and providing coaching, feedback, and evaluation. Principals act as role models by providing personal feedback, rewarding them, and promoting the achievement of the institution's goals.

Small-scale beef cattle farming systems play an important role in rural livelihoods in developing countries. However, comprehensive analysis that integrates the socioeconomic characteristics of farmers with resource utilization patterns is still limited. This study aims to evaluate the socio-economic characteristics of farmers and resource utilization patterns in the beef cattle business in Dolokgede Village, Tambakrejo District, Bojonegoro Regency. Based on the results of the evaluation, it can determine and identify the potential for the development of livestock businesses and in this region. Quantitative descriptive research was carried out using a direct survey method on farmers through questionnaires and environmental analysis. The sample was determined by the Slovin formula with an error rate of 10%, resulting in 29 respondents who were selected by simple random sampling. Data were collected through structured interviews and analyzed using descriptive statistics. Farmers are dominated by the productive age of 31-60 years (72.41%) with the majority of elementary education (75.86%). The selection of 2-5 cattle dominates (65.52%) with the Peranakan Ongole type. The use of feed is integrated with the agricultural system through rice straw (96.55%) and corn waste (93.10%). Feed costs account for more than 60% of the total cost of production, but the R/C ratio shows a value above 1, indicating the economic viability of the business. The beef cattle business in Dolokgede Village has the potential for development through stronger plant-livestock integration, improved feed technology, and institutional support for market access and financing.

This study aims to analyse the implementation of the Village Operational Funds (VOF) distribution policy as an instrument for realising good governance principles in the Government of Sorong City. The research focuses on the implementation of fund distribution and the application of transparency, accountability, participation, and effectiveness in managing Village Operational Funds. A quantitative approach with a descriptive design was employed. Data were collected through questionnaires administered to 20 respondents and in-depth interviews with five key informants, including village officials and local government representatives. Additional data were obtained through observations of planning and fund utilisation processes, as well as through analysis of regulatory documentation and accountability reports. Data analysis was conducted through data reduction, data presentation, and conclusion drawing. The findings indicate that the implementation of the Village Operational Funds distribution policy in Sorong City has not been carried out in accordance with existing regulations, particularly regarding administrative procedures and fund disbursement mechanisms. This condition is primarily caused by the absence or non-disbursement of operational funds at the village level. Furthermore, the application of good governance principles has not been fully optimised due to limited human resources, weak supervision, and low community participation in planning and evaluation. The study concludes that Village Operational Funds have strategic potential as an instrument for promoting good governance if managed transparently and accountably. Therefore, strengthening institutional capacity, supervision systems, and community participation is essential to support effective village governance in Sorong City.  

Learning media is a tool that can be used to help students learn better and more efficiently. The media used in SMP Negeri 23 Pekanbaru is a teacher-centered picture/poster media so that students quickly get bored, and because of the limited media from the school. Most students prefer learning that involves them directly such as the element of games. The learning models used are discovery, PBL, and lecture models, and student learning activities are still lacking or less active in science learning. The purpose of this study is to develop learning media in the form of a cooperative-based snakes and ladders game with the Teams Games Tournament (TGT) type which aims to train student learning activities. The research method used is Research and Development (R&D) by implementing the ADDIE model which consists of five stages, namely Analyze, Design, Development, Implement, and Evaluation. Based on the validation results obtained, media experts were 94% with very feasible criteria, material experts were 92% with very feasible criteria, teachers gave a practicality assessment of 95% with very practical criteria, and students' responses were 85% with very interested criteria. This shows that the snakes and ladders media based on Teams Games Tournament (TGT) is very reasonable, very practical to use, and very interesting for students during the learning process. The results of observations on all student learning activities showed that 79% got a good interpretation.

Oil palm plantations are often confronted with the problem of uncontrolled land expansion and suboptimal management, which potentially threaten the sustainability of the business from environmental, social, and economic perspectives for surrounding communities. This condition calls for a comprehensive evaluation of management practices implemented by independent smallholders. This study aims to determine the sustainability status of smallholder oil palm plantations in Parindu Subdistrict, Sanggau Regency, assessed from five main dimensions: ecological, economic, social, institutional, and technological. In addition, the study analyzes attributes that have sensitivity levels affecting the future sustainability of oil palm farming as a basis for formulating improvement strategies. A total of 36 respondents were selected using purposive sampling techniques and in-depth interviews. The research method employed was quantitative descriptive using the Rap-Palmoil approach and qualitative descriptive supported by kite diagrams to clarify the analysis results. The findings indicate that the management status of oil palm plantations falls into the moderately sustainable category, with MDS values of 53.61 for Embala Village and 55.75 for Maju Karya Village. The dimensions that require priority improvement in both villages are the ecological and technological dimensions.

This community service activity aims to design a prototype of a web-based Intellectual Property Rights (IPR) registration information system at the South Sumatra Provincial Industry Office as an effort to support the improvement of public service quality. The main problem faced by partners is the manual registration and management process for IPR data, which has the potential to cause service delays, data recording errors, and difficulties in monitoring the status of IPR applications. This condition requires an information technology-based solution that can improve the efficiency, effectiveness, and transparency of services. The method used in this community service activity is the prototype method, which includes the stages of problem identification, user needs analysis, system design, and initial evaluation of the resulting prototype. The designed information system prototype includes features for online IPR registration, applicant and document data management, and application status monitoring. The results of the activity indicate that the IPR registration information system prototype is able to provide an overview of digital solutions that are in accordance with partner needs and have the potential to improve service efficiency and ease of data management. This activity is expected to become the basis for the development of a more comprehensive and sustainable IPR information system within the South Sumatra Provincial Industry Office.

Micro, Small, and Medium Enterprises (MSMEs) are a fundamental pillar of the Indonesian economy, but their potential is often hampered by the digital divide, especially in rural areas. The Quick Response Code Indonesian Standard (QRIS) initiative is a way for the government to encourage digital transformation and make payments more accessible to everyone. This article aims to document and analyse the process and impact of a community service programme that facilitated the adoption of QRIS among 10 MSMEs in Pematang Tengah Village, Tanjung Pura Sub-district. This activity used the Community-Based Participatory Action Research (CBPAR) method, which emphasises active collaboration between the service team and MSME partners. The process included participatory planning, collaborative action in the form of intensive training and mentoring, and joint evaluation. The results showed that all 10 MSME partners successfully adopted and used QRIS for daily transactions. The significant benefits included increased transaction efficiency, improved financial record-keeping, and a more modern business image. The main challenges identified were initial doubts about the technology and unstable internet connectivity, which were successfully mitigated through personalised mentoring based on trust. It was concluded that the CBPAR (Community-Based Participatory Action Research) method is a highly effective framework for implementing technological innovation in rural MSME communities because it not only addresses technical skill gaps but also builds crucial social capital such as trust and digital confidence.

The development of information technology requires educational institutions to adapt so that administrative processes and internal management can run more effectively and efficiently. Islamic boarding schools as modern Islamic educational institutions are also not exempt from this need. This Community Service Program (PKM) aims to optimize computer networks and improve the understanding of pesantren staff regarding folder sharing systems, printer sharing, and data management ethics at Pondok Pesantren Modern Darel Azhar, Rangkasbitung, Banten. Implementation methods include initial observation, network design and installation, material delivery and training, data sharing system implementation, and technical evaluation. The results show that the pesantren now has a more organized, stable, and optimally utilized local area network (LAN). In addition, administrative staff gained a better understanding of computer network basics, data sharing systems, and digital data management ethics. This activity has a positive impact on the efficiency of pesantren administrative management and can serve as a model for implementing computer network technology in modern pesantren environments.

The postpartum period is a crucial phase for mothers to recover after childbirth. One of the common problems is perineal wounds, caused either by episiotomy or spontaneous rupture, which require proper care to prevent infection and accelerate healing. This case study aimed to provide midwifery care for Mrs. M, 28 years old, P3A0H3, with a second-degree perineal wound at PMB Bd. Silvi Ayu, S.Keb. The SOAP approach was applied through assessment, diagnosis, intervention, implementation, and evaluation over five days (June 12–16, 2025). Interventions included education on perineal hygiene, encouragement of nutritious food intake, light mobilization, and perineal wound care using boiled binahong leaves. The results showed decreased pain, reduced edema, a dry wound, and complete healing on the fifth day, with the REEDA score decreasing from 11 to 0. The discussion emphasized that flavonoids, saponins, and ascorbic acid in binahong leaves contribute to tissue regeneration and faster healing. Limitations of this study included the short monitoring period, limited sample, and reliance on maternal compliance. In conclusion, binahong leaf decoction was found to be effective, practical, and able to enhance maternal independence in wound care. This study is expected to serve as a reference for midwifery practice and as a basis for further research with a wider scope.

This community engagement program addresses the limited digital marketing utilization of Be Bloomy Bouquets, a creative knitting business, within the MBKM Entrepreneurship framework. The program aims to design and implement adaptive digital marketing strategies to enhance brand visibility, competitiveness, and business sustainability. Using a Participatory Action Research (PAR) approach, the program was conducted from October to November 2025 through preparation, implementation, and evaluation stages. The results indicate that digital marketing assistance via Instagram and TikTok significantly increased audience reach, customer interaction, and brand awareness, while marketplace utilization still requires further optimization. The discussion highlights that integrating handmade product creativity, digital branding strategies, and participatory reflection fosters entrepreneurial behavior change and strengthens local leadership capacity. In conclusion, the program generates not only technical improvements in marketing performance but also social transformation through enhanced digital literacy, independence, and local leadership. Future recommendations emphasize content consistency, production management, and sustainable digital marketing strategies.