Publication Search

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

The rapid development of generative Artificial Intelligence (AI) technology offers significant efficiency opportunities across various sectors; however, empirical research within the local Indonesian context, particularly in Batam City, remains scarce. This exploratory study aims to analyze the influence of positive perception, negative perception, and AI regulation understanding on technology adoption trends, as well as productivity and product innovation opportunities among creative industry players. The creative industry is a focal point due to the inherent tension between technological efficiency and the preservation of human originality in the creative process. This research employs a quantitative causal approach, utilizing a sample of 30 respondents reached through snowball sampling techniques. Data analysis was performed using Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS software. The findings reveal that only positive perception has a significant direct impact on product innovation (p=0.004), while AI regulation and technical adoption do not show significant effects. This suggests that a positive technology mindset is a more decisive factor for innovation than technical mastery or current regulatory compliance. These results underscore the urgent need for local government socialization of AI policies and enhanced digital literacy for Batam's creative practitioners to transform them from mere users into strategic AI-driven innovators.

User reviews on the Shopee e-commerce platform represent an important source of information for understanding consumer perceptions of products and services. Sentiment analysis is commonly applied to classify user opinions into positive, neutral, and negative sentiment categories based on textual data. This study aims to analyze the performance of the Long Short-Term Memory (LSTM) method in sentiment classification of Shopee user reviews. The dataset used in this study consists of Indonesian-language user reviews that have undergone preprocessing stages, including case folding, text cleaning, tokenization, and stopword removal. The LSTM model was trained using preprocessed text represented as word sequences. Model performance was evaluated using overall accuracy and class-wise classification results. The experimental results indicate that the LSTM method achieved an overall accuracy of 87.62%. In addition, the classification performance for the positive sentiment class reached 95.27%, the neutral class achieved 4.96%, and the negative class reached 74.26%. These results demonstrate that the LSTM method performs well in classifying sentiment in Shopee user reviews, particularly for positive sentiment. This study is expected to provide insights and references for the application of deep learning methods in sentiment analysis of Indonesian e-commerce review data.

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.  

Indonesian Sign Language (BISINDO) serves as a primary communication medium for the deaf community; however, limited public understanding often creates barriers during daily interactions. This study aims to develop a real-time BISINDO word-level translation system using hand landmark extraction and temporal modeling with Long Short-Term Memory (LSTM). The system employs MediaPipe Hands to detect 21 hand landmarks per frame, which are then processed as sequential motion patterns to classify five BISINDO words: saya, terima kasih, maaf, nama, and kamu. A total of 250 gesture samples were recorded under controlled lighting conditions as the primary dataset. The processed sequences were used to train the LSTM model, which was subsequently integrated with an ESP32 microcontroller and a DFPlayer Mini module to produce direct audio output. Experimental results show that the model achieved an average accuracy of 86%, with precision and recall values ranging from 0.81 to 0.94. The confusion matrix analysis indicates that most gestures were correctly classified, although some errors occurred in gestures with similar initial motion trajectories. Integration testing demonstrated an average system latency of 3.8 seconds and an audio output success rate of 85%. These findings indicate that the proposed system is capable of translating BISINDO word-level gestures accurately, responsively, and consistently in real-time conditions. This study provides a strong foundation for the broader development of sign language translation systems, with potential enhancements in vocabulary expansion, multi-user datasets, and hardware optimization for deployment in real-world environments.

Drug abuse (Narcotics, Psychotropics, and other Addictive Substances) is a serious problem that can threaten the younger generation, especially in the Panggung Kidul Village area. The lack of public understanding, especially teenagers, regarding the dangers and negative impacts of drug abuse is one of the factors that influence the high risk of substance abuse. Therefore, innovative and interactive educational media are needed to increase public awareness and understanding regarding the prevention of drug abuse. This study offers a solution by designing and developing educational media based on Augmented Reality (AR) technology as a visual and interactive tool that conveys information in an interesting and easy-to-understand manner. The use of smartphones as the main device in AR applications makes this media more easily accessible to various groups of people. The test results using the System Usability Scale (SUS) method showed a user satisfaction level of 96% which is included in the Acceptable category. Thus, this AR-based educational media is expected to be an effective means of increasing public understanding of the dangers of drug abuse and encouraging early preventive efforts.

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.

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 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.

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