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Private vehicles are a frequently used mode of transportation because they are considered more practical. However, using private vehicles carries several risks, such as traffic accidents due to drivers losing focus on the road due to other activities, such as making calls on smartphones, drinking, or operating the radio. Approximately 90% of accidents are caused by human error. Convolutional Neural Network (CNN) is a type of neural network commonly used on image data. CNN is often used for image classification due to its high performance and accuracy. Therefore, this study aims to analyze the performance of CNN for the classification of distracted driving activities. The results show that the CNN model is able to effectively classify images of distracted driving activities, with an accuracy of approximately 99% across all datasets and across all input image size variations. Furthermore, the results of this study also show that differences in right-hand and left-hand drive datasets do not significantly affect model accuracy. Variations in input image size also do not significantly affect model accuracy, but do affect the training duration.

Durian Bhineka Bawor is one of the leading local commodities of Alasmalang Village with high economic potential. However, product promotion and marketing activities are still dominated by conventional methods and limited local networks, resulting in restricted market access, low competitiveness, and the absence of structured product information documentation. This community service program aims to address these challenges through the implementation of an interactive website integrated with an AI Agent, serving as a centralized information platform as well as a digital product ordering service. The main objectives of this program are to strengthen local durian branding through the utilization of modern digital technology, expand market reach, and enhance community digital literacy. The implementation method was carried out in several stages, including program coordination and socialization, content needs assessment, website design and development, AI Agent and WhatsApp server integration, system testing, manager training, official deployment, and continuous assistance. The AI Agent provides interactive services in the form of product information delivery, personalized recommendations, and order facilitation directly connected to the admin dashboard and social media platforms, thereby accelerating transaction processes and improving consumer experience. The expected outcomes of this program include the establishment of a more professional, transparent, and efficient promotion and ordering system for Durian Bhineka Bawor products. The developed platform is expected to expand market access, increase product sales, and create new digital-based business opportunities. Furthermore, this program contributes to community empowerment by improving digital skills and technology management capabilities to support local economic independence and competitiveness.

This study aims to analyze the impact of digital innovation on financial management in Purbalingga Regency, focusing on two main systems: the Regional Government Information System (SIPD) and the Village Financial System (SISKEUDES). Digital innovation is considered important to enhance transparency, efficiency, and accountability in public financial management (Lips, 2020; Agostino, Bracci, & Steccolini, 2022). The method used is a qualitative approach with a case study supported by in-depth interviews with application users and previous research (Daffa, 2024; Nadaa & Priyanti, 2023). The findings show that the use of SIPD and SISKEUDES has successfully increased transparency and efficiency in financial reporting in Purbalingga through data integration and public access to information. However, technical issues, limited human resources, and lack of inter-agency cooperation remain obstacles. Efforts by the local government, such as routine training, system updates, and digital literacy improvement, have strengthened digital-based financial governance. Overall, this study shows that the success of digital innovation in public financial management is influenced not only by technology but also by institutional readiness, a culture of transparency, and community involvement in overseeing regional financial management.

This community service initiative aims to enhance the managerial capacity and digitalization skills of MSME owners in Mencirim Village, East Binjai. Initial observations revealed five structural issues: weak financial record-keeping, conventional marketing strategies, minimal use of social media for promotion, lack of brand identity, and limited understanding of pricing strategy. The methodology employed a Participatory Action Approach (PAA), encompassing needs identification, structured training, practical workshops, and six weeks of intensive mentoring for 25 MSME participants. Results indicate a substantial increase across all measured indicators: 84% of participants implemented simple bookkeeping, 76% actively used social media for promotion, 72% developed brand identities, and 80% demonstrated improved pricing strategies all surpassing the established targets. Wilcoxon Signed-Rank Test confirmed statistical significance (p < 0.05). The program also fostered entrepreneurial mindset shifts, the formation of local business networks, and the emergence of community-based local leaders. Continuous mentoring and cross-stakeholder collaboration are recommended to sustain long-term economic impact.

The maritime education sector faces complex challenges in preparing competent seafarers amid the rapid advancement of digital technology. This study investigates the effect of artificial intelligence-based simulations and AI-based competency assessments on competency achievement levels among nautical cadets at Indonesian maritime training institutions. The research design employed a convergent parallel mixed-methods approach, integrating quantitative and qualitative methods to gain a comprehensive understanding. Quantitative data were collected from 150 cadets using a validated questionnaire. In comparison, qualitative data were obtained through in-depth semi-structured interviews with fifteen instructors and ten cadets. Multiple regression analysis revealed that the research model significantly predicted cadet competency achievement. The findings indicate that AI-based assessments exert a stronger influence than AI simulations in improving competency. The qualitative exploration highlighted adaptive feedback mechanisms and personalized learning pathways as critical success factors in implementing learning technologies. This study provides empirical evidence for maritime institutions to prioritize strategic investments in AI-based assessment systems while maintaining a human-centered pedagogy. The research contribution lies in integrating fourth industrial revolution technologies into the training, certification, and watchkeeping standards compliance framework for seafarers, thereby strengthening Indonesia's maritime education ecosystem and aligning it with international standards.

Hypertension is a major non-communicable disease, particularly challenging in regions with extensive service areas. Community health volunteers are essential for prevention and management through blood pressure measurement. Existing training programs focus primarily on knowledge, highlighting the need to integrate cognitive learning with small-group skills practice to enhance practical competencies and community-based hypertension control. A quasi-experimental design with a pretest–posttest design was conducted to evaluate the effectiveness of combined lecture and small-group training. Knowledge was assessed before and after training, while skills were evaluated post-intervention. Thirty volunteers from the Public Health Center Selakau participated. The results showed that knowledge of blood pressure measurement improved significantly, with pretest scores of 74.67 ± 16.34 rising to posttest scores of 90.00 ± 10.50 (p < 0.005). Posttest evaluation of practical skills showed a mean score of 80.93 ± 13.35, indicating proficient performance in most assessed items. Combined lecture and small-group training effectively enhanced both knowledge and practical skills of community health volunteers in blood pressure measurement. Integrating cognitive learning with hands-on practice strengthens theoretical understanding and field competencies, supporting more effective community-based hypertension control programs.

This Community Service Program (PKM) was carried out in Dander Village with the aim of increasing the marketability of agricultural products through assistance in branding strategies and digital marketing. The background of this activity stems from the low added value and limited market reach of agricultural products, most of which are still sold without clear branding and have not yet utilized digital media. The program aims to raise farmers’ awareness of the importance of brand identity, enhance their ability to design product branding, and utilize digital platforms for promotion and sales. The implementation methods included planning, socialization and branding training, digital marketing training, implementation assistance, and evaluation. Through this activity, participants were trained to create brand identities, product packaging, business social media accounts, and digital promotional content. The results showed an improvement in participants’ skills in developing branding strategies and managing digital marketing, which led to an average sales increase of 25–30%. This activity demonstrates that proper application of branding and digital marketing can enhance the competitiveness and selling value of local agricultural products in Dander Village.

Burnout is a psychological condition characterized by emotional exhaustion, depersonalization, and decreased personal achievement, commonly experienced by medical students. Mindfulness, defined as awareness and acceptance of the present moment without judgment, has been increasingly studied as a strategy to reduce burnout. This narrative literature review aims to evaluate the effectiveness of mindfulness interventions in reducing burnout levels among medical students. Articles were collected from PubMed, ScienceDirect, and Google Scholar published between 2020 and 2025. Studies indicate that mindfulness-based programs, such as Mindfulness-Based Stress Reduction (MBSR) and brief online mindfulness training, effectively reduce emotional exhaustion and improve psychological well-being. Mindfulness promotes self-regulation, decreases stress reactivity, and enhances empathy, which are essential for medical students’ mental health. In conclusion, mindfulness interventions show significant potential in alleviating burnout among medical students and should be considered as part of medical education curricula.

Children with special needs require specialized educational services that accommodate their diverse learning characteristics, and digital-based media offers flexible and adaptive learning opportunities tailored to individual abilities. The digital learning media “Voca Poly” was developed to provide education and practical skills training for blind and physically disabled children, particularly in strengthening knowledge and cooking skills to support independent living. This community service program was implemented through three main stages: preparation, implementation, and evaluation. The preparation stage involved needs assessment, media design, and coordination with partner institutions. The implementation stage included interactive learning sessions using the Voca Poly educational game, focusing on food security concepts through English vocabulary from planting to food processing. The evaluation stage assessed participants’ understanding, engagement, and skill improvement. The results showed increased knowledge of cooking concepts and improved practical skills among participants. Moreover, the game-based approach successfully fostered enthusiasm, motivation, and active participation among visually impaired and physically disabled children.

The Preliminary study results indicate that 7 out of 10, or around 70% of production workers at PT Summi Adyawinsa Indonesia experienced a high workload. This research employed a quantitative descriptive method with a cross sectional study design. The sample consisted of 132 workers, selected using a non-probability sampling technique. The study was conducted from June to July 2025. Data were analyzed using univariate analysis and bivariate analysis with the chi-square test. Primary data were collected through questionnaires as the research instrument. The univariate results showed the highest proportions was hish workload (93,9%), long working hours (65,9%), short work period (66,7%), productive age (93,2%), male gender (93,9%), high wages (53%), and good work environment (94,7%). Bivariate results show a relationship between working hours (p value 0,019), and work period (p value 0,05) with workload. There is no association between age (p value 1,000), gender (p value 0,402), wages (p value 0,147), and work environment (p value 1,000) with workload. Workload Companies need to increase the number of employess, perform routine maintenance on machinery and heavy equipment (forklifts and hoist cranes), and provide training for both new and existing workers.

This study evaluates public sentiment toward Constitutional Court Decision No. 90/PUU-XXI/2023 regarding the age limit for presidential and vice-presidential candidates, a controversial issue closely related to Indonesia’s democratic dynamics. Understanding public opinion on Twitter, as a major platform for political expression, is essential for informing electoral policy formulation. Data were collected using Tweet Harvest through Google Colab and analyzed using the Naïve Bayes algorithm as the primary sentiment classification method, with RapidMiner employed to support and streamline the analytical process. The analysis process included data cleaning, text normalization, stopword removal, manual labeling of 80 tweets as training data, and automatic sentiment classification to identify positive and negative sentiments. From a total of 151 analyzed tweets, 84 (55.63%) were classified as negative and 67 (44.37%) as positive, with the model achieving an accuracy of 66.67%. These findings suggest a tendency toward public opposition to the decision, reflecting dissatisfaction among Twitter users. The study demonstrates that Naïve Bayes is reasonably effective for sentiment classification with limited datasets and provides insights for policymakers in understanding public responses to election-related regulations.

Digital

This research investigates integrated legal-human resource frameworks for autonomous vessel operations in Indonesian archipelagic waters, addressing regulatory compliance gaps and seafarer workforce transition challenges. Through qualitative analysis involving 38 stakeholders including maritime lawyers, regulatory officials, ship operators, seafarer unions, training institutions, and autonomous technology developers, this study examines how existing maritime legal frameworks prove inadequate for unmanned operations while workforce displacement threatens 150,000+ Indonesian maritime workers. Results demonstrate that successful autonomous vessel adoption requires coordinated legal-HR approaches addressing liability allocation (achieving 75-85% clarity through multi-party frameworks), competency certification for remote operators (reducing training gaps by 60-70%), career transition pathways (enabling 55-65% workforce adaptation), and regulatory harmonization (improving compliance efficiency by 45-60%). Key barriers include UNCLOS Article 94 incompatibility, insurance unavailability, seafarer resistance, and jurisdictional fragmentation. Findings reveal that archipelagic contexts demand unique legal-HR solutions integrating traditional maritime rights, hybrid operational modes, and just transition principles. This research contributes frameworks enabling Indonesia to proactively shape autonomous vessel regulations protecting both technological innovation and maritime workforce interests during critical technology transition.

This study aims to examine the role of mathematics education in building numerical literacy in elementary schools, as well as strategies that can be implemented to enhance students' numerical skills. Numerical literacy is a fundamental skill needed by students to understand, interpret, and use numerical information in daily life. The research method used is library research, reviewing various related literature, including books and recent scholarly journals in the field of mathematics education. The results show that the integration of technology, the use of contextual approaches, and collaborative learning are effective strategies in improving students' numerical literacy. Technology helps simplify the understanding of abstract concepts, while contextual and collaborative approaches make mathematics more relevant and applicable. The implications of these findings are the need for further development in teacher training to integrate technology in teaching and the importance of involving students in more interactive and contextual learning processes. This study also suggests further evaluation of the implementation of these strategies in various educational settings.

This research investigates intelligent cooling system design for main ship engines operating in tropical waters, integrating advanced machinery engineering with human factors to address thermal management challenges affecting engine performance, reliability, and crew operational effectiveness. Tropical maritime environments impose severe cooling demands through elevated seawater temperatures (28-32°C), high ambient conditions (28-35°C), and accelerated biofouling, reducing conventional cooling system effectiveness by 15-25% while increasing maintenance burdens and operational risks. Through qualitative analysis involving marine engineers, chief engineers with tropical operational experience, cooling system manufacturers, naval architects, automation specialists, and maritime training institutions, this study examines how intelligent cooling systems incorporating variable-speed pumps, adaptive control algorithms, predictive maintenance, and crew-centered interfaces can optimize thermal management while supporting effective human-machine collaboration. Results demonstrate that intelligent systems can reduce cooling energy consumption by 20-35%, improve temperature stability by 50-65%, extend maintenance intervals by 40-80%, and enhance crew situational awareness through intuitive monitoring interfaces, while requiring comprehensive training programs developing technical understanding and operational competencies. Key implementation challenges include control system complexity, sensor reliability in harsh marine environments, integration with existing engine management platforms, crew competency development requirements, and lifecycle cost justification. Findings reveal that successful intelligent cooling system implementation requires holistic sociotechnical approach addressing machinery engineering optimization, automation technology deployment, and human capability development through coordinated design and training strategies. This research contributes to marine engineering literature by providing integrated frameworks for intelligent system design incorporating machinery performance, automation capabilities, and human factors supporting operational excellence in tropical maritime operations.

This study examines the influence of work experience, knowledge, education, and leadership policies on the implementation of PSAK 109 for Zakat, Infaq, and Sadaqah accounting at Zakat Management Bodies in Pontianak City and Kubu Raya Regency, West Kalimantan. Although PSAK 109 is essential for ensuring transparency and accountability in zakat fund management, its implementation remains suboptimal in practice. A quantitative survey was conducted by distributing questionnaires to zakat officers (amil) at BAZNAS and Zakat Collection Units. Using purposive sampling, the data were analyzed through validity, reliability, classical assumption tests, and multiple linear regression. The findings reveal that work experience, knowledge, and leadership policies significantly and positively affect PSAK 109 implementation, while education does not show a significant effect. Collectively, all variables have a significant influence. The study concludes that practical competence, technical understanding, and supportive internal policies are more crucial than formal education. Strengthening training and leadership policies is recommended to enhance accountability and transparency.  

The Public Speaking and Computer Network Cabling Training Activity at SMP YPK Sele Be Solu aims to improve students' competence in communication and technical skills in computer networking. The activity was carried out using an experiential learning approach with stages of observation, socialisation, hands-on training, and evaluation. The results of the activities show an increase in students' confidence in public speaking and basic technical skills in network cabling, including LAN cable installation, RJ-45 connectors, and cable testing. Intensive mentoring during the training helped students overcome difficulties and optimise their understanding. This activity demonstrates that combining soft skills and hard skills training through direct experience can improve students' overall competence, motivate learning, and prepare students to face academic and digital challenges in the future. In addition, this activity also strengthened cooperation between schools and universities in supporting the improvement of skills-based education quality. The enthusiasm of students during the training showed that practice-based learning methods are very effective at the junior high school level. With this activity, students have a strong foundation to develop their interests and potential in the fields of communication, information technology, and readiness to face the rapidly developing digital world.

The "Desa Sehat Berdaya: Digital-Based Health and Local Economy Innovation" program was implemented in Bulawan 2 Village to address low awareness of preventive health, Clean and Healthy Living Behaviors (PHBS), and limited social education for children and adolescents on bullying, early marriage, and drug abuse (NAPZA). The goal was to improve public health through promotive-preventive interventions, enhance health cadre capacity for sustainable village programs, and increase understanding of healthy behaviors and social risks among youth. A participatory-collaborative approach was used, involving community organization, multi-party coordination, program presentation, intervention implementation, evaluation, and follow-up with health cadres, alongside simple digital media utilization. Results showed increased community participation in posyandu, healthy exercises, and free health checkups, as well as improved cadre capacity through MP-ASI training. For youth, PHBS socialization, anti-bullying, early marriage education, and NAPZA awareness enhanced understanding of healthy behaviors and social issues. Collaboration with Karang Taruna strengthened youth participation and social cohesion.

Donorojo Village, Pacitan Regency, East Java, has significant agricultural potential, particularly in spice commodities. However, the utilization of spices by local farmers remains limited to the sale of raw materials in traditional markets at relatively low prices and with restricted market reach. In fact, spices have high economic value and strong potential to be developed into value-added products, such as herbal beverages. This community service activity aimed to enhance the knowledge and skills of the PKK women’s group in Donorojo Village in processing spice-based “biofarmaka” as an effort to empower the local economy and strengthen the spice value chain. The methods employed included lectures, demonstrations, and hands-on practice, conducted over five days at the Donorojo Village Hall and involving 20 participants. The products generated from this activity included “jahe gajah beverage”, “instan jahe merah”, “instan beras kencur”, and “instan kunir asem”. The results indicated an improvement in participants  understanding of the health benefits of spices, hygienic processing stages, and their ability to produce instant herbal beverage products. Furthermore, this activity has the potential to strengthen linkages between spice farmers as raw material suppliers and the PKK group as processing actors. The development of spice-based “biofarmaka” provides economic value addition, expands market opportunities, and encourages the growth of rural entrepreneurship. Therefore, spice-based “biofarmaka” processing training can serve as a strategy for rural agro-industry development that supports the improvement of economic stability in Donorojo Village.

Customer churn is a strategic challenge for digital streaming platforms because it directly Impacts revenue and business sustainability. This study aims to analyze the factors influencing customer Churn and develop a churn prediction model using the Random Forest algorithm. The study uses a Quantitative approach with an explanatory design and utilizes secondary data from the Netflix Customer Churn and Engagement Dataset available on Kaggle. The dataset consists of 1,000 customer data with 16 Variables covering demographic characteristics, service usage behavior, financial condition, and customer Satisfaction level. The data was processed through preprocessing, one-hot encoding, and a 70:30 split Between training and test data. Model performance was evaluated using accuracy, precision, recall, F1 Score, and ROC-AUC metrics. The results show that the Random Forest model produces an accuracy of 53.7%, precision of 56.3%, recall of 63.6%, F1-score of 59.7%, and ROC-AUC of 0.534, indicating Moderate predictive ability and only slightly better than random classification. Feature importanceAn.evealed that user engagement levels, such as viewing duration and frequency of interactions, Were the most dominant factors influencing churn, followed by economic factors and customer satisfaction. The results of this study are expected to provide a basis for streaming platforms to design more effective Customer retention strategies.