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The use of digital technology in MSMEs is still uneven, especially in small businesses that still rely on manual recording such as at Toko Ibu Siti, so that the transaction process becomes slow and there is a risk of errors. This activity aims to implement an on-premise-based cashier system that is in accordance with business conditions and helps improve user understanding in operating it. The method used is qualitative descriptive with a participatory approach through observation, interviews, and questionnaires. The results of the activity show that there are quite clear changes, where the transaction process becomes faster, recording is neater, and the stock of goods is easier to monitor. In addition, users can run the system independently after training, with a response that tends to be positive. The implementation of this system also encourages technology adaptation in the business environment, improves the accuracy of sales data, and enables business owners to make more effective information-based decisions. Overall, the implementation of this system is able to help improve work efficiency, reduce human error, and encourage the use of technology in small-scale businesses so as to support the sustainable growth of MSMEs.

This study aims to analyze how the TikTok and Instagram Reels algorithms play a role in the distribution of multimedia content and their implications for content visibility, user engagement, and digital marketing practices. The research method used is a qualitative approach through a Systematic Literature Review by analyzing articles from accredited national journals and reputable international journals published in the period 2020-2025. The literature search process was carried out systematically through openly accessible scientific databases, then selected using inclusion and exclusion criteria to ensure the relevance and quality of the sources. The research findings show that the TikTok and Instagram Reels algorithms both rely on analysis of user behavior, initial engagement levels, and the characteristics of short-form audiovisual content in determining content distribution. TikTok emphasizes an interest-based recommendation system that allows content from new creators to gain broad reach, while Instagram Reels combines algorithmic recommendations with established social networks. The implications of this study emphasize that understanding the mechanics of algorithms is a strategic factor for content creators, business actors, and digital marketing practitioners in designing effective, adaptive, and sustainable multimedia content distribution strategies.

Rapid advances in digital technology bring various benefits and risks, including the threat of cybercrime, which can particularly affect Generation Alpha. The purpose of this seminar was to raise awareness and understanding among students at SMK Bina Patriot of the importance of protecting personal data on digital platforms. The seminar was attended by 62 participants who are active internet users in their daily lives. The seminar was conducted interactively through lectures, case studies, and training on steps to protect personal data, such as creating secure passwords and managing privacy on social media. The evaluation of the results showed a significant increase in participants' understanding, reaching an average of 97%. It is hoped that this will become a strong foundation of digital literacy for the younger generation in facing the challenges of the cyber world wisely and safely. This increased understanding is expected to be a strong foundation for Bina Patriot Vocational School students to develop their digital literacy, which in turn will help them to be able to face the challenges of the digital world wisely, safely, and responsibly.

Rapid advances in digital technology bring various benefits and risks, including the threat of cybercrime, which can particularly affect Generation Alpha. The purpose of this seminar was to raise awareness and understanding among students at SMK Bina Patriot of the importance of protecting personal data on digital platforms. The seminar was attended by 62 participants who are active internet users in their daily lives. The seminar was conducted interactively through lectures, case studies, and training on steps to protect personal data, such as creating secure passwords and managing privacy on social media. The evaluation of the results showed a significant increase in participants' understanding, reaching an average of 97%. It is hoped that this will become a strong foundation of digital literacy for the younger generation in facing the challenges of the cyber world wisely and safely. This increased understanding is expected to be a strong foundation for Bina Patriot Vocational School students to develop their digital literacy, which in turn will help them to be able to face the challenges of the digital world wisely, safely, and responsibly.

The use of social media is no longer just for information and entertainment, but has developed into a strategic means in building a positive self-image in the eyes of the public. School students are generally active users of social media whose intensity of use is quite high in daily life. As a group of teenagers who are still in the phase of finding their identity and tend to be emotionally labile, they need the right education to be able to use social media wisely, productively, and responsibly. Community Service activities carried out for students of SMK Wiyata Satya are expected to increase understanding of the importance of personal branding from an early age. Through this activity, students are not only given socialization about the concept of personal branding and social media ethics, but also equipped with practical skills in compiling portfolios and fostering awareness of career planning and goal achievement. At the end of the activity, students presented their self-concept that had been prepared and responded through a questionnaire to evaluate the effectiveness of the entire series of activities.

The rapid development of Artificial Intelligence (AI) technology has opened significant opportunities to support maritime monitoring systems, particularly in detecting anomalies in ship movements that may indicate illegal or abnormal activities. However, the understanding and utilization of this technology among the general public and maritime stakeholders remain limited. This Community Service Program aims to conduct socialization and dissemination of knowledge on AI-based ship anomaly detection through the development and utilization of an interactive and informative web-based socialization platform. This activity is the result of collaboration between a team of lecturers from the Faculty of Communication and Informatics Technology (FTKI) and the National Research and Innovation Agency (BRIN). The implementation methods include the design of web-based educational content, presentation of fundamental AI concepts and ship anomaly detection, as well as visual simulations of ship movement data analysis results. The web-based socialization platform serves as an educational medium to enhance users’ understanding of the benefits, working mechanisms, and potential applications of AI technology in maritime surveillance. The results indicate an improvement in participants’ understanding of ship anomaly detection concepts and the role of artificial intelligence in supporting maritime security and safety. This PKM activity is expected to promote technological literacy, strengthen synergy between academia and research institutions, and serve as a model for practical and sustainable web-based technology socialization

This study aims to analyze the role of internet technology in enhancing the competitiveness of ebusiness in Indonesia, particularly in the sector of small and medium enterprises (SMEs). Based on theoretical reviews, internet technology, e-business, technology adoption (TAM), and the concept of competitiveness serve as the main foundations for understanding the ongoing digital transformation. The research employed a descriptive qualitative method with a purposive sampling technique, involving five informants consisting of digital SME owners, online store managers, and users of service platforms. Data were collected through interviews and observations, then analyzed using the Miles and Huberman model through the stages of data reduction, data presentation, and conclusion drawing. The findings reveal that the internet plays a crucial role as an essential infrastructure that enhances marketing effectiveness, expands market reach, and improves operational efficiency. Marketplaces, social media, and delivery-service platforms contribute significantly to sales growth and service quality. However, challenges such as low digital literacy, platform commission fees, changes in social media algorithms, and uneven infrastructure development still limit optimal utilization. From a policy perspective, the study recommends strengthening digital infrastructure and improving national digital literacy. This research emphasizes that the success of e-business depends on technology access, human resource competence, and support through public policy. It can be concluded that internet technology serves as a vital foundation for e-business competitiveness in the digital era.

The use of Large Language Models (LLMs) in scientific research is becoming increasingly widespread, but presents epistemic risks that are not yet fully understood. This article discusses how the probabilistic mechanisms of LLM can produce outputs that appear correct and justified but are actually dependent on epistemic luck, thus resembling the Gettier case pattern. Through a conceptual study approach, this research clarifies concepts, analytically reconstructs the generative structure of LLM, and conducts a normative analysis of its implications for scientific accountability and authorship. The results of the analysis show that Algorithmic Gettier Cases (AGCs) occur when linguistic coherence deceives users and creates the impression of justification, even though the truth that emerges is statistical coincidence and is not supported by valid causal relationships. This condition poses a serious challenge to the attribution of knowledge and author responsibility in the production of academic texts. To address this issue, this article proposes the principle of Hyper-Justification Obligation, which is the ethical obligation for researchers to actively verify and causally reason every AI output before using it in scientific works. This research provides a theoretical contribution to understanding the epistemic risks of LLM and offers an ethical foundation for academic practice in the era of generative AI.

The rapid development of digital media has created a communication pattern in which information spreads quickly and often without verification. In this situation, hoaxes and disinformation have emerged as a serious threat that affects social trust, religious harmony, and individual behavior in online spaces. This study aims to explore Qur’anic principles that are relevant for building critical awareness, especially through the momentum of Nuzul Qur’an as an illustration of revelation that guides people in understanding messages accurately. The research uses a qualitative descriptive-analytical design with a thematic tafsir approach to examine verses related to verification, prohibition of false speech, and speaking truth. Primary sources consist of the Qur’an and classical as well as modern commentaries, while secondary sources include books and scientific articles on digital literacy and misinformation. The findings show that Qur’anic principles such as tabayyun, avoidance of false accusation, and responsibility in communication are aligned with core elements of digital literacy that require users to identify reliable sources and evaluate messages before sharing. The conclusion suggests that integrating Qur’anic ethical values into digital literacy programs can reduce the circulation of hoaxes and strengthen a culture of truth in digital interaction.

This Community Service (PKM) activity aims to improve artificial intelligence (AI) literacy in students majoring in Visual Communication Design (DKV) at SMK Muhammadiyah 2 Palembang through Canva-based training. The development of AI technology has brought about a significant change in the world of graphic design, where features such as Magic Design, Text-to-Image, and Background Remover are now widely used to support the creative process. However, most vocational school students are still passive users, lacking an understanding of the AI principles behind the technology. Through a Project-Based Learning (PjBL) and Active Learning approach with a demo–practice–reflection model, this activity is designed so that students are not only able to use the AI features in Canva, but also understand the work concepts, benefits, and ethics of using them. The activity was conducted over two days, involving 30 DKV class XI students. The evaluation of the results showed a significant increase in the aspects of understanding AI concepts (48%), motivation to learn design (35%), and creativity of works (32%). Students also show an increase in learning independence and digital ethical awareness. These results confirm that AI-based learning through Canva is effective in building AI literacy, creativity, and student readiness to face the technology-based creative industry. This activity is recommended to be expanded to teachers and other departments to strengthen digital literacy in the vocational education environment.  

This study aims to describe strategies for Indonesian language development through the use of Instagram, particularly the Story feature, as a medium for introducing Indonesian lexical equivalents. The study is grounded in the increasing use of foreign terms and code-mixing on social media, highlighting the need for language cultivation efforts that align with digital communication habits. A descriptive qualitative method was employed, with data collected from polls, question box responses, and user interaction metrics from the Instagram account @katasetara_. The findings indicate that respondents’ understanding of Indonesian lexical equivalents remains relatively low, as shown by the high percentage of incorrect answers for terms such as caption (57%), typo (56%), and headset (52%). By providing explanations in feed posts, the @katasetara_ account serves as an informative and engaging medium for language cultivation. This study concludes that Instagram holds strong potential as an effective platform for linguistic education when combined with interactive strategies and adherence to standard Indonesian language norms.

This study focuses on the role of auditing in improving the credibility and reliability of financial statements, particularly through the examination of cash and cash equivalents, which are the most liquid assets and also the most vulnerable to errors and fraud. The purpose of this study is to improve the understanding of financial statement users, including investors, financial analysts, consultants, academics and accounting practitioners, as well as accounting students, about the function of cash and cash equivalents audit reports in improving business quality. This study found that comprehensive and independent cash and cash equivalent audits can increase user confidence in the transparency, accountability, and reputation of companies. This study conducted semi-structured interviews with eight informants in Jakarta, Bogor, and Depok. The results show that three main factors influence financial statement users' perceptions of audit quality: auditor credibility, audit process independence, and the audit's ability to demonstrate good corporate governance. According to the results of this study, cash audits are very important as a measure of management integrity and a tool for assessing company quality. The study is also expected to help auditors and management improve audit practices that are clearer, more independent, and focused on the needs of financial statement users.

The increasing participation in JKN in Denpasar has prompted BPJS Kesehatan to optimize the use of e-Dabu; however, the service continues to face persistent technical and usability challenges. Ongoing system issues, limited user proficiency, and unsatisfactory user experiences have reduced engagement with e-Dabu, highlighting the importance of understanding how the customer journey shapes positive emotions and customer passion through customer experience. This quantitative study employs validated measurement scales covering e-Dabu, customer journey, positive emotions, customer passion, and customer experience, with a sample of 190 business entity PICs at the BPJS Kesehatan Denpasar Branch. Data were analyzed using the SEM-PLS method, and the findings reveal that customer journey and positive emotions significantly influence customer experience. Additionally, positive emotions and customer experience significantly affect customer passion, while customer journey does not directly impact customer passion. The study concludes that enhancing customer journey, positive emotions, and customer experience is essential for increasing customer passion within BPJS Kesehatan Denpasar. These findings offer valuable theoretical and practical contributions to improving digital public service management.

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.

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.

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.

This study aims to analyze the effect of promotional strategies on consumer purchasing decisions for Freedom Street Wear products on the Shopee platform. The research population consists of Shopee users who have purchased products from official stores. A quantitative approach using a survey method was applied, and data was collected from 100 respondents selected through non-probability sampling. Multiple linear regression analysis was used to test the influence of each variable, both partially and simultaneously. The findings show that Double Date Discount has a positive and significant effect on purchasing decisions. Meanwhile, Free Shipping and Cash on Delivery (COD) did not have a significant effect, although COD showed a positive trend. Simultaneously, these three variables were found to have a significant effect on consumer purchasing decisions. In addition to examining the individual effects of promotional strategies, this study also explored the interactive relationships between the variables. It was found that while Free Shipping and COD did not individually influence purchasing decisions, their combination with other promotional strategies like Double Date Discount enhanced the overall effectiveness of the promotions. This suggests that promotional strategies should be strategically integrated to maximize their impact on consumer behavior. Furthermore, the study highlights the growing importance of e-commerce platforms like Shopee in influencing purchasing decisions and shaping consumer perceptions. As online shopping continues to grow, understanding the nuances of promotional strategies is essential for businesses aiming to attract and retain customers in a competitive market. The findings contribute to a deeper understanding of the factors driving consumer purchasing decisions and offer valuable insights for businesses looking to optimize their promotional efforts in the online retail environment.

Number recognition is a critical skill in early education, laying the foundation for digital literacy and mathematical understanding. However, traditional methods of teaching number recognition often lack the interactivity and engagement necessary for effective learning, particularly for young learners. This study proposes the development of a deep learning-based Android application aimed at enhancing the number recognition process by providing an interactive and visual learning experience. The application utilizes a Convolutional Neural Network (CNN), a type of deep learning model, to recognize handwritten numbers, offering users an innovative and engaging way to learn and practice number recognition.In the proposed application, users can draw numbers on their devices, and the system will immediately provide feedback regarding the accuracy of the drawn numbers. The CNN model will be trained on a comprehensive dataset of handwritten digits to ensure high accuracy in recognition. This real-time feedback loop is designed to help users learn the correct form of numbers while also introducing the foundational concepts of deep learning. The main objective of this application is to provide an accessible, interactive platform for learning number recognition, especially for novice learners who may be unfamiliar with basic concepts in machine learning and digital literacy. By integrating deep learning technology, the application not only supports the learning of number recognition but also serves as an introduction to artificial intelligence (AI) concepts in a practical, easy-to-understand format. Furthermore, the application is designed to be user-friendly, ensuring that it is suitable for a wide range of learners, including children and beginners. The application aims to combine the fundamental principles of deep learning with a practical, hands-on learning experience, fostering a deeper understanding of both number concepts and the potential of AI in everyday life.

The use of technology in education is essential, particularly in creating digital teaching materials. This Community Service (PKM) activity aimed to introduce teachers and educators to the process of creating e-modules using Canva, a user-friendly tool with templates, graphics, and features for designing interactive and visually engaging teaching materials. The training provided hands-on experience, enabling participants to create curriculum-aligned e-modules, enhancing both their teaching materials and student engagement. The goal was to equip educators with the skills to develop innovative, digital-friendly materials that cater to various learning styles. During the training, participants integrated multimedia elements like images, videos, and text to make the learning experience more interactive. Emphasis was placed on incorporating technology in both physical classrooms and online learning environments, improving the overall dynamic of lessons. The training also helped educators gain a deeper understanding of Canva as a versatile tool for educational purposes. Results showed significant improvement in participants' confidence and ability to use Canva effectively to create engaging and pedagogically sound materials. Many expressed that the skills gained would help them incorporate creative and interactive elements into their lessons, fostering a more dynamic learning environment. This PKM activity successfully empowered participants to enhance their digital competencies and adapt to the evolving educational landscape. It contributed to improving the quality of education, ensuring educators are better prepared to navigate the digital age and meet the needs of modern learners. Furthermore, the training emphasized continuous learning and adapting to new technological tools to improve teaching strategies and learning outcomes