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This study examines the implementation of RoRo ship services in Indonesia, highlighting the implementation of RoRo ships and the current national logistics framework potential strategies, particularly in the 3T region. This research employs a qualitative descriptive methodology that includes a literature review. It utilizes secondary data from previous studies, comprising books and original scientific reports published in articles or journals. The findings indicated 1) The use of RoRo ships has gone through progressive developments, like the government's initiative on “Sea Toll” designed to support the logistics sector, particularly in 3T regions. 2) Enhancing the logistics framework through the integration of National Logistic EcosIstem (NLE) alongside the Internet of Things (IoT) to increase logistics efficiency that is rapid, effective, and clear. Nevertheless, these initiatives faces challenges. Consequently. The proposed strategies focus on improving growth center development through logistics integration (shipping, port management, and intermodal) and implementing digitalization in logistics document processing.

The development of Artificial Intelligence (AI) technology has provided new opportunities to enhance the quality of learning, particularly in elementary science education. One form of AI utilization is chatbots, which function as interactive learning media capable of encouraging students’ active participation. In science learning, questioning behavior is an important indicator of students’ cognitive engagement; however, many elementary school students tend to be passive in asking questions. This study aimed to examine the effect of using AI chatbots in science learning on students’ questioning behavior in Grade V of SDN Plalangan 03 Gunungpati, Semarang City. This study employed a quantitative approach with a quasi-experimental design. Data were collected through observation, questionnaires, and documentation. The data were analyzed to identify changes in students’ questioning behavior before and after the implementation of AI chatbots in science learning. The results indicated that the use of AI chatbots improved students’ questioning behavior in terms of frequency, confidence, and activeness in asking questions. AI chatbots provided a comfortable and flexible interaction space for students, which helped reduce psychological barriers in questioning. It can be concluded that the use of AI chatbots has a positive effect on students’ questioning behavior in elementary school science learning.

The use of artificial intelligence technology in elementary education is becoming increasingly relevant as teachers demand to develop creative and efficient teaching materials. Problems faced by fifth-grade elementary school teachers include limited time, a variety of ideas, and reliance on conventional methods in developing teaching materials, resulting in suboptimal learning creativity. This study aims to describe the use of ChatGPT by fifth-grade elementary school teachers in developing creative teaching materials and to identify the benefits and constraints of its use in the learning process. The research method used is a descriptive qualitative approach with data collection techniques through literature studies and online questionnaires based on Google Forms. The research respondents were fifth-grade elementary school teachers who were familiar with and used ChatGPT in lesson planning. The data obtained were analyzed using qualitative descriptive analysis techniques through the stages of data reduction, data presentation, and drawing conclusions. The results of the study are expected to provide a comprehensive picture of the role of ChatGPT as a digital assistant for teachers in increasing the efficiency and creativity of teaching material development in elementary schools.

This study aims to describe the application of deep learning based tolerance values with a pedagogical approach in supporting classroom management in grade VI of SDN Beji 01 East Ungaran. The deep learning approach is understood as a pedagogical strategy that emphasizes the cognitive, affective, and social engagement of students through meaningful learning experiences. This study uses a descriptive qualitative approach with data collection techniques in the form of semi-structured interviews, observations, and documentation. The research subjects include grade VI teachers, principals, and students with diverse social and cultural backgrounds. The results of the study show that the application of tolerance values through deep learning strategies is able to create an inclusive, safe, and conducive classroom climate. The implementation is reflected through the practice of random seating arrangements, a culture of sharing learning media, deliberation in conflict resolution, fair study timing, and strengthening mutual respect between students. These findings confirm that the integration of deep learning-based tolerance values contributes significantly to the effectiveness of classroom management and the strengthening of the social character of elementary school students.

This study examines the readiness of elementary school teachers to implement AI-based learning in the era of artificial intelligence, as technological advancements increasingly influence instructional practices in basic education. Despite the growing potential of artificial intelligence to support teaching and learning processes, empirical evidence regarding teachers’ preparedness at the elementary level remains limited. This study employed a descriptive quantitative research design involving 18 elementary school teachers. Data were collected using a structured questionnaire consisting of 15 Likert-scale items measuring technological skills, knowledge of artificial intelligence, attitudes toward AI, pedagogical readiness, and infrastructure support. Descriptive statistical analysis revealed that the overall mean score of teachers’ readiness was 4.08, indicating that teachers are generally ready to adopt AI-based learning. Technological skills emerged as the strongest aspect of readiness, reflecting teachers’ familiarity with digital tools and instructional technologies, while infrastructure and institutional support obtained the lowest mean score, highlighting challenges related to facilities, access to technology, and policy support. These findings suggest that although elementary school teachers demonstrate positive readiness and attitudes toward AI-based learning, effective and sustainable implementation requires strengthened institutional support, improved infrastructure, and continuous professional development to maximize the educational benefits of artificial intelligence in elementary education.

This study aims to analyze the effect of the implementation of the Intelligent Tutoring Sistem (ITS) based on Artificial Intelligence (AI) on improving the understanding of mathematical concepts, especially in fractional and basic geometry materials, in Class V students of SD Negeri 2 Badran, Temanggung Regency. The research method used was a quasiexperimental experiment with a Non-equivalent Control Group Design. The research sample consisted of 48 students who were divided into two groups, namely the experimental group (n=24) who received learning with the help of AI-based ITS, and the control group (n=24) who received conventional learning with lecture methods and practice questions. The research instrument is in the form of a test of understanding of mathematical concepts that has been validated by experts and tested for reliability. Data were analyzed using parametric statistical tests of the Independent Sample t-test and N-Gain Score to measure the improvement. The results showed that there was a significant difference in understanding of mathematical concepts between the experimental group and the control group. The average post-test score of the experimental group (82.45) was significantly higher than that of the control group (70.12) with a p< value of 0.05. N-Gain analysis showed that the improvement in conceptual understanding in the experimental group was in the "moderate" category (g=0.56), while the control group was in the "low" category (g=0.32). These findings indicate that AI-based ITS is effective in improving students' understanding of mathematical concepts. The advantages of the system lie in its ability to provide instant feedback, personalize materials according to learning pace, and present interactive materials, thus helping to better construct students' conceptual understanding. It is recommended that schools consider the integration of ITS technology as a supplementary tool in mathematics learning at the elementary level.

Reading literacy among 6th grade elementary students is often superficial, limiting their ability to analyze implicit meanings and connect texts to real-world contexts. This review examines the potential of deep learning as a pedagogical approach to enhance in-depth text comprehension. Deep learning emphasizes active engagement, reflection, and the construction of meaningful knowledge, aiming to foster critical thinking and improve comprehension. Recent studies highlight implementation strategies such as reflective journaling and interactive discussions, which have demonstrated significant improvements in students' critical thinking and comprehension scores (p < 0.05). These findings suggest that deep learning methods surpass traditional approaches by promoting higher-order cognitive skills, enabling students to analyze and interpret texts more effectively. However, challenges such as inadequate teacher training persist, which may hinder the full integration of deep learning techniques. To address these challenges, further research is needed to explore scalable digital tools that can support deep learning in diverse classroom settings. By examining the potential for digital integration, future studies could provide insights into how technology can facilitate the widespread adoption of deep learning strategies, making them more accessible and effective for a broader range of students. Ultimately, this review underscores the promise of deep learning in enhancing reading literacy and suggests that addressing the barriers to its implementation could have significant educational benefits.

Arabic grammar (nahwu) instruction has long been dominated by rule-based approaches that emphasize memorization and formal analysis, often resulting in rigid learning structures and limited responsiveness to learners’ cognitive diversity. While such approaches play an important role in preserving grammatical accuracy, they frequently overlook individual learning trajectories, cognitive readiness, and adaptive instructional needs. In the era of artificial intelligence (AI), language education is increasingly shaped by adaptive learning systems that personalize content, pacing, and instructional strategies based on learners’ profiles. This study aims to reconceptualize Arabic grammar instruction by proposing a conceptual framework that integrates traditional nahwu principles with adaptive learning systems informed by AI. Using a qualitative conceptual analysis, this paper synthesizes classical Arabic grammar pedagogy, contemporary theories of adaptive learning, and recent developments in AI-supported language instruction. The proposed framework highlights key components, including learner profiling, cognitive-level alignment, hierarchical nahwu content structuring, and AI-assisted scaffolding mechanisms. The findings suggest that adaptive learning systems offer significant pedagogical potential to transform nahwu instruction from a static, rule-centered model into a flexible, learner-centered process. This reconceptualization is expected to enhance grammatical comprehension, reduce cognitive overload, and promote learner autonomy in Arabic language education, particularly in Islamic higher education contexts. The study concludes by discussing pedagogical implications and directions for future empirical research on AI-assisted Arabic grammar learning.

The integration of Artificial Intelligence (AI) in higher education has led to the increasing use of AI-powered adaptive learning models that support personalized and data-driven learning. However, studies examining preservice teachers’ perceptions of these models remain limited, despite their important role in future classroom implementation. This study aims to explore preservice teachers’ perceptions of AI-powered adaptive learning in higher education, focusing on perceived usefulness, learning adaptivity, learning experience, and perceived concerns. A descriptive qualitative research design was employed involving 53 preservice teachers from various universities. Data were collected using a Likert-scale questionnaire and open-ended questions. Quantitative data were analyzed descriptively using percentage distributions, while qualitative data were examined through simple thematic analysis. The findings reveal that preservice teachers generally demonstrate positive perceptions of AIpowered adaptive learning, particularly in terms of learning effectiveness, adaptability, and engagement. Nevertheless, concerns related to over-reliance on AI, ethical issues, and data privacy were also identified. These results indicate that preservice teachers show readiness to engage with AI-supported learning, while highlighting the need for teacher education programs to promote responsible and pedagogically informed AI integration.

Background: In the domain of corporate governance, the separation of ownership and control generates significant agency conflicts, primarily manifesting as Earnings Management (EM). Traditional reactive auditing methods fail to detect manipulation concealed within unstructured data, leading to high agency costs and diminished stakeholder trust. Objective: This study proposes an "AI Proactive Monitoring Model" utilizing Generative Artificial Intelligence to fundamentally enhance the monitoring mechanisms of Agency Theory. Methods: The research employs a qualitative conceptual framework analysis. It synthesizes Agency Theory with the Technology Acceptance Model (TAM) and Systemic Risk Theory to construct a novel strategic governance model. Results: The proposed model shifts governance from periodic sampling to real-time, continuous analysis of total data populations. By cross-referencing structured financial data with unstructured communications (e.g., emails, contracts), the system generates "Risk Narratives" that contextualize anomalies and flag opportunistic behavior immediately. Conclusion: The integration of AI significantly reduces information asymmetry and moral hazard by creating a "panopticon" effect. However, successful implementation requires distinct regulatory frameworks to manage the systemic risks associated with algorithmic reliance.

This community service activity aimed to strengthen the capacity of Percik staff and Sobat Anak facilitators through basic sign language training in collaboration with the Sahabat Tuli Salatiga community. Inclusive multicultural education requires educators and facilitators to be able to engage all children, including those with hearing disabilities. The Sobat Anak Program initiated by Percik Salatiga promotes interfaith and multicultural education for children from diverse backgrounds; however communication barriers remain due to facilitators’ limited knowledge of sign language. The community service employed a needs assessment, participatory training sessions, and evaluation using pre-test and post-test analyzed through N-Gain scores. The results show an N-Gain value of 0.79, categorized as high, with an effectiveness level of 78.89%. These findings indicate that basic sign language training is effective in improving participants’ understanding in supporting more inclusive multicultural educational practices. This activity highlights the importance of collaboration between higher educations, civil society organizations and disability communities in advancing the No One Left Behind principle within inclusive education initiatives.

This community service activity aimed to strengthen the capacity of Percik staff and Sobat Anak facilitators through basic sign language training in collaboration with the Sahabat Tuli Salatiga community. Inclusive multicultural education requires educators and facilitators to be able to engage all children, including those with hearing disabilities. The Sobat Anak Program initiated by Percik Salatiga promotes interfaith and multicultural education for children from diverse backgrounds; however communication barriers remain due to facilitators’ limited knowledge of sign language. The community service employed a needs assessment, participatory training sessions, and evaluation using pre-test and post-test analyzed through N-Gain scores. The results show an N-Gain value of 0.79, categorized as high, with an effectiveness level of 78.89%. These findings indicate that basic sign language training is effective in improving participants’ understanding in supporting more inclusive multicultural educational practices. This activity highlights the importance of collaboration between higher educations, civil society organizations and disability communities in advancing the No One Left Behind principle within inclusive education initiatives.

This community service activity aims to improve digital literacy among children and adolescents in Telang Sari Village through basic computer training and networking introduction. The main problem faced by the community is the low level of technological literacy caused by limited facilities and lack of access to structured computer education. This program was implemented during the Thematic Community Service Program (KKNT) by applying participatory and practical training methods. The activities included introduction to computer hardware and software, basic typing skills, document creation, internet literacy, and simple LAN configuration practices for junior high school students. The results show a significant improvement in participants’ understanding and confidence in using computers and basic networking concepts. Children and adolescents who previously had minimal exposure to technology were able to operate computers, create simple documents, and understand responsible internet usage. The program also contributed to increasing students’ motivation to learn technology and preparing them to face digital challenges. Overall, this activity demonstrates that basic computer training with hands-on practice can effectively enhance digital literacy in rural communities.

Empowering agricultural human resources is a strategic approach to support sustainable agricultural development and the achievement of the Sustainable Development Goals (SDGs), particularly SDG 2 (Zero Hunger), SDG 4 (Quality Education), and SDG 8 (Decent Work and Economic Growth). This community service article aims to describe the implementation of an agricultural instructor empowerment training program conducted through collaboration between Universitas Negeri Surabaya (Unesa) and the Ngudi Luhur Self-Reliant Agricultural and Rural Training Center (P4S) in Blitar Regency. The activity involved approximately 50 participants consisting of agricultural instructors and local agricultural practitioners. The methods included Focus Group Discussions (FGDs) and field visits to superior corn cultivation areas managed by P4S. The results indicate an increase in participants’ understanding of the importance of agricultural innovation and technology utilization to enhance productivity, supported by experiential learning through direct observation of high-yield corn fields compared to conventional practices. This program strengthens the role of agricultural instructors as innovation dissemination agents and contributes to the achievement of sustainable development goals in the agricultural sector.

The socialization activity on personal and environmental hygiene at SDN 19 Sungai Kakap was conducted to improve students’ knowledge, attitudes, and awareness regarding the importance of maintaining personal cleanliness and a healthy school environment. This activity addressed the common issue of limited understanding and practice of hygiene among elementary school students, which can affect health and learning outcomes. The methods used included interactive counseling sessions, practical demonstrations of proper hygiene practices such as handwashing and waste disposal, and the use of visual educational media to increase student engagement and comprehension. The effectiveness of the activity was measured using pre-test and post-test evaluations. The results showed a 75% increase in students’ knowledge levels after the intervention, accompanied by observable positive behavioral changes related to cleanliness both at school and at home. Students demonstrated improved habits in maintaining personal hygiene and participating in keeping their environment clean. Despite challenges such as limited time allocation and inadequate cleaning facilities, the activity successfully fostered sustainable awareness and encouraged the formation of healthy habits. Therefore, it is recommended that similar socialization activities be conducted regularly using varied educational methods and supported by adequate hygiene facilities to strengthen long-term behavioral change.

Diabetes mellitus is a metabolic disorder characterized by chronic hyperglycemia which can lead to serious complications if not properly managed. This community service activity aimed to increase public knowledge regarding diabetes mellitus and its prevention among residents of Rejomulyo Village, Jati Agung District, South Lampung. The method used was health education through lectures supported by leaflets and blood glucose screening, followed by evaluation using pre-test and post-test. A total of 25 community members participated in this activity. The results showed a significant improvement in participants’ knowledge after the educational intervention. Pre-test results indicated limited understanding of blood glucose control and dietary management, while post-test results showed increased knowledge levels in both aspects. This activity demonstrates that health education is effective in improving community awareness and knowledge regarding diabetes mellitus prevention and management. This educational program is effective in increasing the knowledge of the people of Rejomulyo Village, Jati Agung District, South Lampung Regency regarding diabetes mellitus.

Participatory village development planning is often treated as a technical-administrative routine. In practice, however, planning is inseparable from political dynamics that shape who participates, whose interests prevail, and how scarce resources are allocated. This community empowerment program (PKM) in Kedung Udi Village, Trawas District, Mojokerto Regency, East Java, aimed to strengthen village governance by enhancing the capacity of village officials and community representatives to design and facilitate participatory planning while explicitly addressing the political dimension of planning. The main intervention was a workshop conducted on 22 August 2025, preceded by coordination and situational observation. Workshop modules emphasized: (1) planning as a political decision; (2) navigating dual arenas: formal (Musdes/Musrenbang and RPJMDes, RKPDes, APBDes) and informal (elite networks and gatekeeping); (3) multi-level contestation and policy alignment; and (4) practical tools, including power–interest mapping, programmatic agreements, program tagging for alignment with district planning documents, and transparency/anti elite capture mechanisms. The program resulted in improved participant literacy regarding power relations in planning and produced a follow-up action plan oriented toward institutional advocacy, continuous social control, and routine capacity reinforcement through a university and village partnership.

This study aims to examine the strengthening of school literacy culture through the establishment of a Literacy Corner at SMPN 4 Mangarabombang as a strategy to enhance students’ reading interest and engagement in literacy activities. The research problem arises from students’ low reading intensity and the limited availability of literacy-supporting facilities at school. A qualitative descriptive method was employed, utilizing observation, interviews, and documentation as data collection techniques. The findings indicate that the Literacy Corner significantly improves students’ access to reading materials, fosters more consistent reading habits, and creates a more conducive learning environment. Moreover, the involvement of teachers and students in managing the Literacy Corner strengthens their sense of ownership and increases active participation in school literacy activities. By facilitating a space dedicated to reading, the initiative addresses the challenges related to the scarcity of resources and encourages students to make reading a regular activity. Teachers also reported increased student motivation and engagement in literacy programs, which translates into greater academic performance. These results highlight that establishing a Literacy Corner is an effective and strategic approach to reinforcing school literacy culture. Furthermore, it can serve as a model for other schools aiming to enhance their literacy programs and improve student engagement in reading activities.

This community service aims to provide understanding and skills in using comics and AR media as well as understanding biology material by high school students. The community service was carried out at SMA Negeri 1 Raja Ampat involving 43 students. Measurement of student responses using a questionnaire with six statements on a scale of 1 - 4. The measurement data was calculated to obtain the average score and percentage of student responses. The results of the community service show that the average total score is 86.53 which indicates that overall the student response is very good to the community service activities that have been carried out. Student responses are dominated by agree and strongly agree. The largest percentage of disagree, namely 23.26%, is shown by students, especially in the statement that AR applications can be run easily, but the average total score still reaches the good category for this statement. The community service has provided students with an understanding of how to learn biology in an interesting way and provides benefits to improve their understanding. Students agree that the material presented adds to their insight regarding comics and AR, are able to install AR applications on their mobile devices, improve their understanding of biology material, is interesting and provides benefits for them.

This study aims to enhance elementary school students’ motivation to learn English and to identify the factors contributing to their low motivation. The research is grounded in the need to prepare students for the global era, in which English proficiency is an essential skill from an early age. The study employs a Classroom Action Research (CAR) method using the Kemmis and McTaggart model, consisting of planning, action, observation, and reflection stages. Data were collected through observations, learning outcome evaluations, and interviews with English teachers. The findings reveal that students’ low motivation is influenced by perceptions that English is difficult, the lack of engaging teaching methods, limited learning facilities, and students’ weak willingness to learn. The implemented actions—such as using songs, educational games, teaching aids, role-play activities, and interactive communication—significantly increased students’ activeness and motivation. Moreover, the study emphasizes the importance of introducing English at the elementary level, as ages 6–13 represent a critical period for language development. With appropriate external motivation and strong teacher support, English learning becomes more effective, enjoyable, and meaningful. This study recommends that English instruction continue to be implemented in elementary schools through creative teaching methods and sufficient learning facilities