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This research is entitled “Implementation of Lumi H5P in Mathematics Learning Media at SDK PERO Using the MDLC Method.” The aim of this research is to create a digital-based interactive learning medium designed to enhance students’ understanding of the subject matter. media that can help students understand mathematics lessons, particularly on the topics of whole numbers and multiples, in an engaging and easy-to-understand way. The approach applied in this research is the MDLC method.. Each stage was carried out systematically to produce an interactive and high-quality learning media. The learning media application was developed using LUMI H5P, which provides various interactive features such as text, images, videos, and interactive exercises in the form of single choice sets and drag-and-drop activities. The results of the study show that the implementation of Lumi H5P-based learning media can increase students’ learning interest and facilitate their understanding of the material. Moreover, the simple interface design and user-friendly features make this application effective for both classroom learning and independent study. Therefore, the implementation of Lumi H5P in mathematics learning The media can act as an innovative solution to promote a learning process that is more engaging and effective.

This study presents a Systematic Literature Review on Artificial Intelligence (AI) and Natural Language Processing (NLP) applications for customer support automation and digital service optimization. The review follows the PRISMA framework to ensure methodological rigor and transparency, focusing on literature published between 2020 and 2025 from the Scopus database. The findings reveal that AI-driven technologies, including Machine Learning, Deep Learning, and Large Language Models, have significantly improved efficiency, response time, and customer satisfaction in customer support and digital service. Common NLP applications include sentiment analysis, ticket classification, and automated response generation. Among these, hybrid and transformer-based models demonstrate superior accuracy and contextual understanding compared to traditional algorithms. However, several challenges persist, including data quality limitations, privacy and security concerns, algorithmic bias, and linguistic ambiguities such as sarcasm and negation. Moreover, issues related to trust and ethical adoption continue to influence user acceptance of AI systems. This review provides a comprehensive synthesis of current methodologies, trends, and research gaps, offering insights for future studies to develop explainable, secure, and human-centered AI systems that enhance the sustainability and transparency of digital customer support services.

This study was motivated by the reality that people do not fully understand the proper use of Indonesian, especially in terms of standard vocabulary, terminology, and synonyms. Therefore, the purpose of this study was to promote Indonesian language skills through educational content in the form of digital posters on Instagram in order to reach a wider audience. In addition, the author also used the Kahoot! application as an evaluation tool to measure social media users' understanding of standard vocabulary. The method used in this study was a qualitative method with a descriptive approach. The subjects of this study were the general public who are active users of social media, especially on the Instagram platform, and there were 34 respondents. The object of this study was the respondents' answers to the quiz on the Kahoot! application. The results of this study concluded that there is still a low level of enthusiasm among the public, especially students, in using Indonesian. However, this can be minimized through the use of social media, such as the creation of interesting educational content in the form of digital posters, which have proven to be effective as an effort to foster Indonesian language in the era of digitalization.

Digital transformation has revolutionized Islamic da'wah and counseling services, providing opportunities to reach a wider audience, especially millennials and Gen Z. This study aims to examine digital content innovation and creation that can improve the effectiveness of da'wah and counseling. The method used is a literature review with content-based data analysis, which identifies themes, patterns, and meanings from journals, books, and related digital documents. The results show that digital audiences tend to prefer content that is concise, visual, and easily accessible. Therefore, an effective content development model must encompass research, scripting, production, evaluation, and the selection of an appropriate distribution platform. In digital counseling services, aspects of ethics, privacy, and data security are crucial to maintain user trust. Furthermore, the integration of da'wah messages with counseling in a single platform is considered effective in simultaneously meeting the spiritual and psychological needs of the community. Challenges faced include information overload, misinformation, low digital literacy, and the risk of data breaches. In conclusion, the success of digital da'wah and counseling depends on understanding the audience and implementing a creative and ethical model, to provide a sustainable positive impact.

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.

The use of technological resources, especially the internet, has a very important role in supporting the effectiveness of the implementation of the flipped classroom model. Through internet access, students can prepare before face-to-face learning by watching learning videos, reading materials, or doing exercises independently. This allows the classroom teaching and learning process to be more interactive, where face-to-face time can be focused on discussion, problem-solving, and application of concepts. Based on survey data collected from students of SMK Dewata Bali Denpasar, it is known that optimal use of the internet helps increase students' understanding and interest in learning science subjects. However, as time went by, it was found that some of the material was still difficult for students to understand and remember. Therefore, educators need to choose the learning platform that is most effective in supporting the implementation of this model. Using the ELECTRE (Elimination and Choice Expressing Reality) method, this study assessed various platforms such as features, price, ease of use, and user survey results. The results show that Google Classroom is the most suitable and efficient platform to support reverse learning because of its ability to integrate various learning media, ease of access, and support for interaction between teachers and students.

This study analyzes the phenomenon of limited digital literacy on the social media platform Instagram, particularly concerning users’ tendency to respond emotionally to provocative titles (clickbait) without fully reading and comprehending the content. Employing a qualitative case study approach, the research highlights behavioral patterns in which users prioritize quick responses over critical understanding. The findings reveal that the primary factor contributing to this phenomenon is the attention economy, where users are accustomed to instant access to information and feel compelled to engage immediately in public discourse. The implications of this behavior include the proliferation of misinformation and the intensification of opinion polarization. This study recommends the need for more structured digital literacy education and the implementation of platform features that encourage users to engage with content before interacting. The tendency to react without thoroughly evaluating content contributes to an increasingly fragmented digital space where echo chambers thrive. This study recommends the need for more structured digital literacy education, focusing on critical thinking and the importance of evaluating content before sharing or reacting. Additionally, it suggests the implementation of platform features that encourage users to engage with content in a more thoughtful and responsible manner, helping mitigate the spread of misinformation.

Social media has become a new communication space that allows for the rapid and widespread dissemination of information, including on public issues. One of the platforms that is often used is social media X (formerly Twitter), where users can express their opinions and shape public perception. This study is entitled "The Influence of Hate Speech by Admin @keretacepatid on Patrick Kluivert (National Team Coach) on the Level of Followers' Perception on Social Media X" which aims to determine how hatred influences the formation of perceptions of social media users. This study uses a quantitative approach with a survey method and data collection techniques through online questionnaires to followers of the @keretacepatid account. The results of the study indicate that there is a significant influence of hatred on followers' perceptions. Some respondents showed a dominant attitude, namely agreeing with the negative narrative built by the account against Patrick Kluivert, while others were in a negotiating position, namely understanding the context of the speech but still considering Kluivert's professional background as a national team coach. This finding is the importance of ethical and responsible digital communication management in shaping public opinion in the era of social media.

The emergence of Generative Artificial Intelligence (Generative AI) such as the GPT-4 and Midjourney models has sparked a fundamental debate about the nature of creativity and imagination. The AI creation process, often referred to as a “black box,” challenges conventional human-centered understanding. This paper proposes a unique hermeneutic framework to approach this phenomenon by borrowing two key concepts from the Sufi metaphysics of Shaykh al-Akbar Muhyiddin Ibn 'Arabi: khayāl (creative imagination or the imaginal realm) and tajallī (self-manifestation or theophany). This study uses a conceptual-comparative analysis method to analyze the working process of Generative AI. The main argument of this journal is that the “latent space” in AI architecture can be analogized with 'ālam al-khayāl (the imaginal realm) as an intermediate reality (barzakh) that contains unlimited potential. Furthermore, the process of generating text or images from a prompt can be understood as a mechanism resembling tajallī, in which these potentials manifest specifically according to the “availability” (isti'dād) determined by user input. Thus, Ibn 'Arabi's framework offers a non-anthropocentric ontology for understanding “artificial imagination” as a process of manifesting forms from a sea of potential, transcending mere simulation or data recombination.

In recent years, the Indonesian government has actively promoted digital transformation in public service delivery, including in rural and remote areas. However, digital adoption among communities in these regions remains inconsistent and often hindered by infrastructural and socio-cultural constraints. This study aims to assess the digital readiness of rural communities in adopting mobile-based public service information systems, with a specific focus on understanding the social and technological dynamics that shape their engagement. Employing a mixed methods approach with an explanatory sequential design, the research began with a structured survey involving 150-200 respondents per location, followed by in-depth interviews with key informants such as village officials, service operators, and local users. The quantitative data were analyzed using SPSS to identify general patterns in digital readiness based on the Technology Readiness Index and the Digital Readiness Framework, while qualitative insights were thematically analyzed using NVivo to uncover contextual factors. The findings reveal that while some respondents exhibit a moderate level of digital optimism, barriers such as unstable internet access, limited digital literacy, and fear of misusing technology significantly affect adoption rates. Furthermore, social support from family members emerged as a critical facilitator in overcoming these challenges. This study contributes to the discourse on inclusive digital transformation by highlighting the importance of integrating community-based support mechanisms into system design and policy planning. The implications suggest that successful digitalization efforts in rural areas must go beyond infrastructure development and address the social readiness of users through culturally sensitive and participatory approaches.

The study try to explain the influence of perceived ease of use, perceived security, and social influence on consumer interest in adopting the QRIS as a digital payment method in Bandar Lampung. The rapid growth of digital transactions and the shift toward non-cash payments highlight the importance of understanding the factors that encourage consumer adoption of QRIS. A quantitative approach was employed, collecting primary data from 222 respondents through structured questionnaires distributed in various retail and public settings. The data were measured with Pearson correlation, and simple linear regression to measure the strength and significance of the variable’s relationships. The findings indicate that all three factors significantly influence consumer interest, with social influence showing the strongest effect, followed by perceived security and perceived ease of use. The results suggest that social norms, trust in transaction security, and ease of interaction with the system are critical in motivating consumers to adopt QRIS. These insights provide practical implications for service providers, policymakers, and merchants to enhance digital payment adoption by focusing on user-friendly designs, robust security measures, and strategies that leverage social influence to encourage broader usage.

This research investigates the impact of influencer marketing, brand awareness, and product quality on consumers' decisions to purchase Wardah lip cream. Employing a quantitative method, data was gathered through an online questionnaire filled out by 100 participants who are actual users of the product. The data was then analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) through the SmartPLS 4 software. Based on the analysis, influencer marketing was found to have a positive and statistically significant effect on purchase decisions. In contrast, brand awareness did not demonstrate a meaningful influence in this context. Among the variables studied, product quality emerged as the most influential and statistically significant factor, indicating that consumers prioritize product performance when deciding to make a purchase. The model's explanatory power is shown by an R-square value of 0.645, meaning that 64.5% of the variation in purchasing decisions can be explained by the three variables combined. Furthermore, the Q² Predict score of 0.620 indicates that the model is highly predictive and reliable in understanding consumer behavior. Overall, product quality plays a crucial role in shaping consumer choices regarding Wardah lip cream, surpassing the effects of brand familiarity or promotional efforts through influencers

This study aims to develop an interactive mobile application-based learning media to introduce Devanagari Sanskrit script to Indonesian teenagers. The background of this research is the lack of communicative, contextual, and engaging learning media for the digital generation in learning traditional scripts. The development method uses the ADDIE model modified with a visual communication design approach and integration of local Balinese cultural values. The results show that this media successfully combines strong visual elements, interactive voice narratives, and Balinese cultural iconography in one mobile-friendly platform. Validation from design and cultural experts shows a very high level of feasibility, supported by positive responses from student users at the Dvipantara Samskrtam Foundation. This research makes a real contribution to the preservation of traditional scripts through a digital educational approach that is adaptive to the learning needs of today's teenagers. In addition, this research also opens opportunities for the development of similar learning media for other traditional scripts, thereby increasing awareness and understanding of Indonesia's rich culture among the younger generation. By integrating technology in learning, it is hoped that the preservation of Indonesian culture can go hand in hand with the progress of the times.

This research highlights the importance of online presence in enhancing customer accessibility for Micro, Small, and Medium Enterprises (MSMEs). Facebook and Instagram were chosen as primary platforms due to their extensive and diverse user bases. Through a proper digital promotion approach, MSME practitioners can harness the features and tools provided by both platforms. Effectively targeting audiences, presenting visually appealing content, and actively engaging with customers are integral parts of this digital promotion optimization. Furthermore, the research explores various key metrics that can be used to measure the success of digital campaigns, including engagement rates, reach, and conversions. By understanding the full potential and benefits of digital promotion through Facebook and Instagram, it is hoped that MSMEs can enhance the efficiency and effectiveness of their campaigns, achieving greater success in the competitive digital promotion landscape. This research provides practical insights for MSME practitioners seeking to optimize their presence and performance in the realm of digital promotion.

The Ar-Royyan Islamic boarding school is a multi-level Islamic educational institution with a focus on preparing graduates who are ready to synergize with the society. To attain this objective, it is imperative to have educational personnel well-versed in the field of information technology. One strategic approach involves training Ustadz and prospective Ustadz through digital learning innovations. Open Broadcast Software (OBS) emerges as an innovative choice for crafting learning materials because it supports various media sources and offers user-friendly settings. Participants can combine video recordings, video from cameras, text, images, sound, and so on the types of input received. The resulting output manifests in the form of the videos available in common formats such as MKV, MOV, FLV, MP4, and MPEG-TS. Evaluation was conducted using a pre-test and post-test, consisting of a response questionnaire and Likert scale. The results indicate an enhanced understanding of OBS among participants, employed in the creation of digital learning media. The majority of participants responded positively to the conducted activities. Several elements that need attention in promoting the use of OBS for learning media creation include color selection, motivational delivery, and effective word choice. Combining OBS with other editing applications can yield unique variations of learning media, incorporating elements such as images, sound, video, and other supported media editing applications

This study explores the development and implementation of an Augmented Reality (AR)-based learning medium to enhance students’ understanding of tajwid at Madrasah Aliyah. The background of this research stems from the limited effectiveness of conventional teaching methods and the relatively low interest of students in learning tajwid. AR-based learning was chosen because it provides a more interactive and contextualized learning experience that actively engages learners. The research employed a Research and Development (R&D) approach using the ADDIE model, which consists of analysis, design, development, implementation, and evaluation stages. The participants were Madrasah Aliyah students selected as the experimental group. The findings reveal that the AR learning medium significantly improves students’ comprehension of tajwid rules compared to traditional learning approaches. Moreover, students reported high levels of satisfaction, noting that the media was engaging, user-friendly, and capable of visualizing abstract tajwid rules in a clear and accessible manner. In conclusion, integrating AR technology into Islamic education, particularly tajwid learning, holds great potential to improve learning quality while fostering students’ motivation to explore the subject more deeply.

The Emergency Severity Index (ESI) is a triage method that determines the escalation of treatment for patients based on the severity of their emergency condition. In order to improve the level of satisfaction of individuals receiving health services, it is necessary to provide quality services that are responsive to the expectations and needs of patients. This study aims to explore the relationship between the ESI (Emergency Severity Index) level and patient satisfaction in the Emergency Room of Pertamedika Ummi Rosnati Hospital. The research design applied is analytical with a cross-sectional method. From a total population of 500 patients in December, 51 respondents were selected using purposive sampling. The instruments used included the ESI (Emergency Severity Index) Questionnaire and CSQ-8 (Client Satisfaction Questionnaire), with univariate and bivariate data analysis using the Chi-Square test. The results showed that in the high ESI index category, most participants (37 people or 92.5%) expressed satisfaction with the services received, while 3 people (7.5%) were dissatisfied. In the moderate ESI group, 9 respondents (90.0%) reported satisfaction, while only 1 respondent (10.0%) reported dissatisfaction. Conversely, in the mild ESI level, there were no patients who were satisfied (0%), and one patient (20.0%) was dissatisfied. Through analysis using the Chi-Square statistical test, a ρ value of 0.009 (≤ 0.05) was obtained, indicating a significant relationship between ESI levels and patient satisfaction. Based on these findings, it can be concluded that there is a correlation between ESI classification and the level of satisfaction of service users in the Emergency Department. The researchers recommend that patients gain a better understanding of the ESI stages, and the Emergency Department is expected to provide education, such as putting up informative banners related to ESI (Emergency Severity Index) to increase patient understanding of the triage process in the Emergency Department.

The rapid development of technology has greatly assisted human work in various fields, including education. One tangible outcome of technological progress is the availability of Microsoft Office applications, which consist of Microsoft Word, Microsoft Excel, and Microsoft PowerPoint. Microsoft Word functions as a word processing software that allows users to create, edit, and format documents, while Microsoft Excel is used for managing numbers and data, and PowerPoint plays an important role in preparing engaging presentations. However, the teachers at SD Masehi Kadu Eta are not yet able to operate Microsoft Word, Excel, and PowerPoint optimally, as the school has never conducted any specific training. Therefore, this community service program focused on providing training on how to utilize Microsoft Office for teachers at SD Masehi Kadu Eta. The training aimed to improve teachers’ knowledge and skills in using information technology, particularly in operating Microsoft Word, Excel, and PowerPoint. Through this program, teachers gained not only new experiences but also basic skills that can support their daily tasks, such as preparing school administration documents, creating reports, and developing more systematic teaching materials. The results of the program showed that the training provided significant benefits. Teachers demonstrated strong enthusiasm, actively participated in every session, and showed improvement in their understanding of Microsoft Office applications. They also expressed their expectations for similar activities to be carried out regularly so that their skills could continue to improve and better equip them to face the ongoing development of information and communication technology in the future.

Hyper Text Markup Language (HTML) is a markup language used to structure and format text documents through the use of tags that control the appearance of content on web pages. HTML defines various document elements such as headings, paragraphs, images, and lists, which form the basic structure of a webpage. JavaScript, on the other hand, serves as a programming language that adds interactivity and dynamics to web pages. While HTML provides the basic framework for website layout, JavaScript enhances functionality with features that cannot be achieved through HTML alone, such as dynamically manipulating elements and responding to user interactions. Together, these two languages form the core foundation for web development. This program aims to equip students of SMAN 58 with the skills to practice using HTML tags, understand the basics of JavaScript programming, and develop interactive web pages through online simulations. The training will be conducted in stages, beginning with the submission of a proposal to the school and followed by the scheduled training in June 2024. Students will use the One Compiler platform for real-time practice, allowing them to write and execute HTML and JavaScript code directly in the browser. The training will be conducted interactively, introducing the fundamental concepts of HTML and JavaScript, along with demonstrations showing how to create dynamic websites. In the final phase, students will take a quiz designed to assess their understanding of the material and their ability to apply the knowledge gained. Through this program, it is expected that students will master the basic skills of website creation and have the ability to independently develop their own interactive web projects. Additionally, this program aims to enhance students' digital awareness and technical skills in the era of information technology.

This community service program is designed to enhance the competence of English teachers at SMP N 33 Purworejo in utilizing Artificial Intelligence (AI)-based learning media, particularly deep learning technology. In the digital era, many teachers still face limitations in integrating intelligent technology into classroom activities, which affects the effectiveness of learning. The program was carried out in four stages: the provision of basic materials on AI and deep learning, technical training on the use of AI applications, practical development of learning media, and mentoring combined with evaluation. The results of this activity show an increase in teachers’ understanding and skills in operating AI tools, with each participant producing at least one AI-based learning media product. Through workshops, teachers learned to use applications such as chatbots, speech-to-text, text-to-speech, and AI-assisted language tools to enrich students’ learning experiences. In addition, teachers were guided to design contextual media tailored to curriculum goals and student needs. Mentoring ensured that the products created were tested, improved, and ready to be applied in the classroom. The novelty of this activity lies in its focus on practical implementation of deep learning in junior high school English teaching, positioning teachers not only as users but also as creators of innovative media. Beyond technical competence, this program fosters collaboration among teachers to sustain innovation. In the long term, the outcomes are expected to improve students’ engagement, motivation, and communication skills, and contribute to the establishment of a digital learning ecosystem that supports interactive, effective, and future-oriented education.