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Abstract: One of the most common harmful bacteria, particularly in hospitals, is Pseudomonasaeruginosa, which is also the most frequent cause of wound infections. Because it leads to antibioticresistance and persistent infections, one of the most significant virulence factors it produces isbiofilm. The goal of the current study is to prevent P. aeruginosa isolates from wound patients fromforming biofilms by using plantaricin, which is a peptide with broad-spectrum antibiotic generated byLactobacillus plantarum. In order to produce plantaricin, so that Lactobacillus plantarum isolates from rawbuffalo milk were screened. The plantaricin was then purified using ammonium salts and a gelfiltration column, with a final 40% recovery. The isolates of P. aeruginosa with more production tobiofilm from wound infections were tested for the inhibitory impact of pure plantaricin. The resultsshowed that the plantaricin reduced the development of biofilms in a dose-dependent manner, with alarger percentage of biofilm inhibition reaching 46–68% at 150 µg/ml.

This study aims to analyze the effect of information technology (IT)-based learning media on improving students' academic performance. With the advancement of digital technology, the use of IT-based media such as interactive presentations, educational videos, Learning Management Systems (LMS), and online quiz applications has become part of modern teaching strategies. This study uses a quantitative approach with a quasi-experimental method. The subjects of the study were secondary school students divided into experimental and control groups. The instruments used include learning achievement tests to measure academic performance and observation sheets to assess the implementation of IT media usage. Data were analyzed using t-tests and simple regression analysis. The results show a significant difference in academic performance between students who used IT-based learning media and those who used conventional methods. The experimental group showed a higher average score compared to the control group. These findings indicate that the use of IT-based learning media, when planned and implemented systematically, can improve students' motivation, engagement, and understanding of learning materials. Therefore, the integration of information technology into the learning process is recommended as an innovative strategy to enhance the quality of education.

This study presents ReflectAI, a web-based system designed to automate the creation of teaching materials tailored to students' learning styles using behavior data from a Learning Management System (LMS). Student digital activity data—such as logins, material access, forum participation, assignment submission, and quiz results—are extracted and processed using a Hierarchical Clustering algorithm to categorize students into three learning styles: visual, auditory, and kinesthetic. Based on the clustering results, the system automatically generates personalized learning modules using generative AI (ChatGPT API), aligned with each student's learning preferences. Employing a data-driven system development approach, the system was tested with data from 230 students in a mathematics course. The results show diverse learning style distributions and relevant, tailored content generation. ReflectAI is designed to reduce teachers’ administrative workload and enhance personalized and adaptive learning. This system contributes to educational transformation through deep, data-driven technology integration.

The increasing use of Learning Management Systems (LMS) in higher education generates large amounts of student activity data that have the potential to provide deeper insights into learning processes. However, in practice, these data are still rarely analyzed systematically to understand variations in students’ learning activity patterns, limiting their practical use in supporting teaching and learning. This study aims to explore students’ learning activity patterns in an LMS using a clustering approach based on activity data.This research utilizes the publicly available Open University Learning Analytics Dataset (OULAD), focusing on a single course and a single academic term. LMS activity data were processed through data cleaning and feature extraction, followed by student clustering using the K-Means algorithm. The quality of the clustering results was evaluated using the Silhouette Score, and visual analysis was applied to support the interpretation of the results.The results indicate that students’ learning activities can be grouped into two main patterns, namely a group of students with high learning activity and a group with lower or moderate activity levels. These findings highlight the existence of heterogeneous learning behaviors among students, even within the same learning context.The identified learning activity patterns provide an initial foundation for utilizing LMS data to monitor student engagement and to support the development of more responsive, data-driven learning approaches in higher education.

Prompt injection has emerged as a critical security threat for Large Language Models (LLMs), exploiting their inability to separate instructions from data within application contexts reliably. This paper provides a structured review of current attack vectors, including direct and indirect prompt injection, and highlights the limitations of existing defenses, with particular attention to the fragility of Known-Answer Detection (KAD) against adaptive attacks such as DataFlip. To address these gaps, we propose a novel, hybrid, multi-layered detection framework that operates in real-time. The architecture integrates heuristic pre-filtering for rapid elimination of obvious threats, semantic analysis using fine-tuned transformer embeddings for detecting obfuscated prompts, and behavioral pattern recognition to capture subtle manipulations that evade earlier layers. Our hybrid model achieved an accuracy of 0.974, precision of 1.000, recall of 0.950, and an F1 score of 0.974, indicating strong and balanced detection performance. Unlike prior siloed defenses, the framework proposes coverage across input, semantic, and behavioral dimensions. This layered approach offers a resilient and practical defense, advancing the state of security for LLM-integrated applications.

This study aims to synthesize the relationship between learning styles and instructional media in optimizing 21st-century skills among Diploma Three (D3) vocational students. The research employed a simple literature review method by analyzing 20 national and international journal articles published between 2018 and 2024. The results reveal that the alignment between learning styles (visual, auditory, kinesthetic) and the types of instructional media significantly influences the development of critical thinking, creativity, communication, and collaboration skills. Technology-based media, such as interactive videos, learning management systems (LMS), and virtual simulations, effectively accommodate diverse learning preferences while enhancing students’ motivation and engagement. Furthermore, integrating such media not only supports individual learning needs but also fosters a more dynamic and inclusive educational environment. The study concludes that integrating learning styles with digital-based media serves as an effective strategy to produce competent and adaptive vocational graduates who are well-prepared to face the challenges of Industry 4.0 and Society 5.0.

This systematic literature review examines the relationship between learning styles and learning media in optimizing 21st-century skills among Diploma Three (D3) vocational students. Through systematic analysis of 74 relevant national and international journal articles published between 2018 and 2024 from Scopus database, this study reveals that the alignment between learning styles (visual, auditory, kinesthetic) and learning media significantly influences the development of critical thinking, creativity, communication, and collaboration skills. Technology-based media such as interactive videos, learning management systems (LMS), and virtual simulations effectively accommodate diverse learning preferences while enhancing students' motivation and engagement in the learning process. The findings indicate that e-modules integrating problem-based learning (PBL) demonstrate effectiveness rates of 65-85% in improving critical thinking skills. This research concludes that the integration of learning styles with digital-based learning media serves as an effective strategy to produce competent and adaptive vocational graduates who are well-prepared to face the challenges of Industry 4.0 and Society 5.0.

The rapid advancement of digital technology has transformed the landscape of education, particularly in secondary schools. This study investigates the influence of digital learning innovation on enhancing deep learning and student engagement. Using a quantitative survey method, data were collected from 150 secondary school students in Indonesia who actively use digital learning platforms such as Learning Management Systems (LMS), mobile learning applications, and hybrid learning models. The research instrument consisted of a closed-ended questionnaire using a five-point Likert scale, which measured students’ perceptions of digital learning innovation, their engagement levels, and indicators of deep learning. Data were analyzed through simple linear regression using SPSS version 25. The results indicate a strong and significant positive relationship between digital learning innovation and both deep learning and student engagement, with a correlation coefficient (R) of 0.732 and an R² value of 0.536. This finding suggests that digital learning innovation explains 53.6% of the variation in students’ deep learning and engagement levels. Students who frequently use digital learning technologies tend to show higher motivation, independence, critical thinking, and reflective learning behavior. The study concludes that digital learning innovation plays a crucial role in supporting meaningful learning and active participation. It highlights the importance of integrating technology strategically into school-based learning to foster adaptive, collaborative, and lifelong learners in the digital era.

This research seeks to examine the innovative governance of police logistics to enhance the operational service efficiency at the Logistics Bureau of East Java Regional Police. The research context arises from the need to reform police logistics management to meet technological innovations and demands for public accountability. This research utilized a qualitative method featuring a case study approach, incorporating extensive interviews with logistics officers, operational personnel, and third-party providers, along with firsthand observations of digital logistics management systems. The results indicate that the adoption of the Integrated Logistic Management System (ILMS) and barcode tracking has improved transparency, distribution speed, and efficiency in operational budgets. Nonetheless, difficulties persist in human resource capability and interdepartmental collaboration. The dialogue suggests that these advancements correspond with adaptive governance theory, stressing bureaucratic adaptability in response to organizational shifts, and public service motivation, which underscores the importance of motivation and professionalism in enhancing the quality of public services. The research finds that digital innovation and performance-oriented assessment enhance the efficiency of police operational services. It suggests enhancing human resource capabilities, performance assessment systems, and collaboration among units to attain transparent, effective, and sustainable logistics management.

This study presents the integration of a Large Language Model (LLM) Ollama with the OpenStreetMap (OSM) API within a Business Intelligence (BI) framework to develop an intelligent, location-based recommendation system. The system is designed to assist users in finding dining, leisure, and resting places through natural language interaction and contextual understanding. The LLM interprets user input semantically, transforms it into structured spatial queries, and retrieves relevant geospatial data from OSM. The data are then analyzed, categorized, and visualized using BI methods to enhance interpretability and decision-making. The system was implemented using Next.js, Leaflet.js, ensuring interactivity and scalability for web-based deployment. Technical evaluation focused on system accuracy, response time, and output consistency. Results demonstrate an average response time of 1.74 seconds, 80% accuracy, and 80% consistency, proving the model’s efficiency in producing relevant, context-aware recommendations. This integration highlights the potential of combining open geospatial data, local LLMs, and BI analytics to create intelligent, data-driven decision support systems applicable to tourism, urban planning, and spatial information management.

This study examines character and competency development through a philosophical approach. This philosophical approach plays a crucial role in developing students' character and competency, ensuring that education is not solely oriented toward knowledge but also toward the formation of morals and a holistic personality. This study employed a descriptive qualitative method, examining the ontological, epistemological, and axiological dimensions within the context of character education. The results indicate that a philosophical approach provides a profound understanding of the nature of humans as moral and rational beings capable of internalizing good values ​​through reflection. This approach also encourages students to think critically, be responsible, and demonstrate integrity in all their actions. Furthermore, spiritual and social aspects are strengthened through the development of empathy, wisdom, and ethical awareness in interactions with the environment. The application of a philosophical approach makes the educational process more meaningful because it touches on the realms of knowledge, morals, and spirituality in a balanced manner. Thus, philosophy-based education can create individuals who are not only intellectually intelligent but also possess strong character, a reflective spirit, and are able to make a positive contribution to society.

Artificial Intelligence (AI) has increasingly shaped the digital transformation of higher education, particularly through its integration with Learning Management Systems (LMS). Features such as intelligent tutoring, predictive analytics, plagiarism detection, and automated grading are reshaping teaching and learning. However, questions remain regarding the readiness of higher education institutions and the acceptance among lecturers and students. This paper presents a Systematic Literature Review (SLR) of studies published between 2020 and 2025, focusing on readiness and acceptance of AI in LMS. Guided by the PRISMA framework, 220 records were identified, 85 screened, 40 assessed for eligibility, and 20 included in the final analysis. Findings highlight that readiness is largely influenced by infrastructure, digital literacy, and institutional policy, while acceptance is shaped by perceived usefulness, ease of use, trust, and behavioural intention. Although challenges such as ethics, cost, and privacy concerns persist, opportunities exist in the form of personalized learning and intelligent decision-making. The review concludes that while AI adoption in LMS is progressing globally, developing contexts such as Malaysian polytechnics require further research and targeted interventions to enhance both readiness and acceptance.

Film and television play a central role in shaping and representing the cultural identity of society. Through artistic expertise manifested by directors, screenwriters, actors, cinematographers, and producers, cultural construction is presented not only as entertainment but also as a social discourse that reflects values, traditions, and the dynamics of collective identity. This study aims to analyze how artistic expertise contributes to constructing cultural identity representation through film and television mediums in Indonesia. The research methodology used is qualitative, employing content analysis and semiotics approaches on selected Indonesian films and TV series that highlight cultural aspects, such as Losmen Bu Broto and Gadis Kretek. These works were chosen because they feature rich local culture while reflecting the role of culture in the dynamics of Indonesian society. The findings indicate that artistic expertise plays a crucial role in constructing cultural representation, both through narrative, visual elements, music, and actors' performances. The representations produced not only affirm local and national identities but also reflect the process of cultural negotiation with global influences. This study underscores that film and television serve as strategic media for cultural diplomacy and the formation of collective identity awareness in Indonesian society. Through this process, these mediums contribute to the preservation of local culture amidst global cultural flows. The research highlights the importance of film and television as tools for maintaining and constructing cultural identity, where local traditions and values are both preserved and adapted to the changing global landscape.   

Animated films are not only a medium of entertainment but also an effective tool for delivering moral, social, and educational values through innovative storytelling and engaging visual styles. In Indonesia, although many animated films are broadcast on national television, only a limited number originate from domestic creators. This condition highlights the need to strengthen local creative content that reflects Indonesia’s cultural and environmental identity. The present design project aims to develop an alternative television program in the form of a 2D animated film that emphasizes the preservation of Mentilin, an endemic animal of Bangka Island, while simultaneously serving as an educational medium for the local community. The research and design process employed a qualitative approach, focusing on data collection through observation, interviews, and literature review to identify effective strategies for socialization and education. The animation production of Mentilin, The Tiny Tarsier was carried out in three main stages: pre-production, including concept development and storyboarding; production, involving character design, background creation, and animation; and post-production, which covered editing, sound design, and final rendering. The preliminary evaluation indicated that the animation successfully captured local cultural elements and delivered messages about environmental awareness in an engaging manner. This design is expected not only to provide a creative educational platform for the community but also to contribute to the broader efforts of environmental preservation and the development of Indonesia’s animation industry. Furthermore, the program has the potential to be expanded as a replicable model for other regions in promoting endemic species conservation through creative media.

This study aims to analyze the ability of elementary school teachers in compiling digital student learning outcome reports, and to identify the factors that influence it. This study was conducted through a library research method by reviewing various scientific articles, books, and empirical reports related to the use of technology in elementary education. The results of the study indicate that teachers' ability in digital reporting is influenced by age, educational background, teaching experience, and involvement in ICT training. The use of reporting applications such as Microsoft Excel, e-Rapor, and Learning Management System (LMS) is still limited, especially in advanced features that actually greatly support reporting efficiency. The main obstacles faced by teachers include lack of ongoing training, limited infrastructure, administrative burden, and mental attitude towards technology. As an improvement strategy, this study recommends tiered technical training, technical guidance at the school level, strengthening learning communities such as KKG and MGMP, and integration of ICT training in the Continuous Professional Development (PKB) program. This research is expected to be the basis for making policies that are more adaptive to the needs of teachers in the digital era.

Digital transformation in the world of education has encouraged the use of digital media, particularly Learning Management Systems (LMS), in the learning process. This study aims to analyze the influence and effectiveness of LMS use on improving learning quality, learning motivation, and student engagement. The method used in this study is a Systematic Literature Review (SLR), analyzing ten relevant national scientific articles published within the past five years. The findings indicate that the use of LMS such as Google Classroom, Moodle, and Schoology generally contributes positively to supporting more interactive, flexible, and structured learning. LMS has also proven to enhance learning independence and facilitate learning management by educators. However, its effectiveness is influenced by human resource readiness, digital competencies, and the availability of technological infrastructure. Therefore, continuous training for educators, the selection of LMS tailored to specific needs, and infrastructure support are necessary to achieve effective and sustainable digital learning.

The church's diaconal practice faces a crisis of effectiveness. The dominant model of charitable diakonia (almsgiving) has proven ineffective in addressing the root causes of poverty and structural injustice. Empirical studies show that this failure is often not due to a lack of resources, but rather a failure of strategic management and a narrow theological understanding of diaconal practice itself. This research argues that to respond to poverty effectively, the church requires a dual paradigmatic shift. First, a theological shift in service from charitable diakonia to transformative diakonia, grounded in Liberation Theology and Reformed social justice spirituality. Second, a conceptual shift in "management" from a secular concept to the theological practice of "Transformative Oikonomia", a prophetic stewardship rooted in scripture (Acts 6) and ecumenical frameworks (WCC). Using a qualitative literature review methodology, the author reconstructs a management model for effective and just ministry. In this model, "effectiveness" is redefined and measured not by logistical outputs, but by two theological pillars: (1) Relational Effectiveness, measured by the Theology of Hospitality (Pohl), focusing on the restoration of human dignity; and (2) Structural Effectiveness, measured by tangible contributions to the JPIC (Justice, Peace, and Integrity of Creation) agenda. This study concludes that the Transformative Oikonomia model liberates the church from the "charity trap" and enables a holistic fulfillment of the Missio Dei.

Reda dragon fruit (Hylocereus polyrizhus) peel, which is often discarded as waste, contains pectin that has potential to be used in the food industry.  This review article aims to examine the effect of microwave-assisted extraction (MAE) technology on the results of pectin extraction from red dragon fruit peel. A review was conducted on four main scientific articles discussing MAE for pectin extraction from dragon fruit peel, focusing on the chemical composition aspect and the effect of MAE technology on the extraction results. MAE technology has been shown to significantly increase extraction efficiency compared to conventional methods, with parameters such as pH, extraction time, and solid-liquid ratio affecting the extraction results. One potential application of dragon fruit peel pectin is as a base material for environmentally friendly edible films with functional added value. Formulation optimization and further testing are needed to develop the application of dragon fruit peel pectin on an industrial scale.

Digital animation technology is increasingly advancing, as evidenced by the proliferation of animated films worldwide. This is also true in Indonesia, where the production of animated films has increased significantly due to the improvement and ease of digital animation technology. One of the most important parts of the animation process is the rigging process, which involves creating a skeleton for the character or object so that it can move and appear lifelike. The rigging process in the short animated film "The Relativity Of Reality" tells the story of Rei, a young boy who discovers advanced technology from a secret organization. However, the owner of the technology comes to take it back, leading to a struggle and chase. Rei decides to escape but is cornered and a battle ensues. The characters in the film are animated using rigging techniques, utilizing the Bendy Bone feature in the Blender application. This feature is useful in creating a rigged system for characters and objects. The result of applying rigging with the Bendy Bone feature is that characters move more fluidly, not only in the legs, body, and arms but also in the face. Therefore, the use of bendy bone and facial rigging in characters will make it easier to produce animations. In addition, rigging can also be applied to other moving objects such as cars, skateboards, doors, and cabinets.

As foreign films and television shows increasingly showcase superior production values, audiences in Sichuan have developed higher expectations regarding the quality of content they consume. This shift is primarily driven by exposure to advanced filming techniques, sophisticated storytelling, and high production standards seen in successful foreign media. This study examines how viewers become accustomed to these elevated standards, often favoring local productions that reflect the quality and innovation found in international offerings. This trend  compels  local  media  producers  to  enhance their  production  capabilities,  adopting advanced technologies and techniques to meet the evolving demands of their audience. As a result, the integration of foreign production technologies not only improves the quality of local content but also influences viewer behavior, leading to a preference for productions that exhibit high artistic and technical standards. The relationship between foreign advanced production technologies and viewer preferences in Sichuan underscores a significant shift in the local media landscape. As audiences increasingly demand higher-quality content, local media must adapt by embracing technological advancements to enhance their productions and align with viewer expectations.