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Innovation in biology learning is increasingly necessary, as conventional instructional practices are often dominated by memorization-based methods that limit students’ active engagement and critical thinking development. Along with rapid advances in science and technology, digital applications offer new opportunities to enhance teaching and learning processes. One such application is Canva, a digital design platform that can be utilized as an effective learning media to support teachers and students in biology education. This study aims to describe the implementation of Canva-based learning media through a training program conducted at SMA Islam Terpadu Daarul Rahman and to examine its perceived usefulness for both teachers and students. The training involved teachers in developing biology learning materials using Canva by integrating visual elements, images, and videos to present complex biological concepts more clearly. The results of the training indicate that Canva is considered practical, user-friendly, and efficient by teachers in designing learning materials. Teachers reported that the application helped them present content in a more attractive and structured manner. Furthermore, students benefited from the use of Canva-based materials, as they demonstrated better understanding of the subject matter and increased interest in learning biology. The integration of visual and multimedia elements also supported the development of students’ critical thinking skills by encouraging analysis and interpretation of biological phenomena. Overall, the use of Canva as a learning medium shows potential to enhance the quality of biology learning and foster more meaningful learning experiences.

This study explores the integration of critical pedagogy with digital literacy, aiming to reconceptualize digital literacy beyond its traditional focus on technical proficiency and operational skills. Traditional digital literacy models emphasize the ability to navigate and use technology, primarily focusing on operational tasks such as managing digital devices, utilizing software, and performing specific functions. However, these models often overlook the broader implications of technology on society, including its role in shaping power dynamics and perpetuating social inequalities. By integrating critical pedagogy, this study argues that digital literacy should not only encompass technical skills but also encourage learners to critically assess the social, political, and cultural implications of digital tools. The critical digital literacy approach promotes social justice, equity, and empowerment by encouraging learners to question, reflect on, and challenge the ways in which technology influences their lives and society at large. Through critical engagement with digital tools, learners are empowered to challenge existing power structures, fostering social transformation. The study discusses how educators can integrate critical digital literacy into teaching practices, moving beyond traditional skill based models by encouraging critical thinking, ethical use of technology, and a deeper understanding of the role digital technologies play in shaping societal structures. Moreover, the study highlights the transformative potential of critical digital pedagogy, proposing it as a tool for educational equity and social change. By reconceptualizing digital literacy through a critical pedagogical lens, this study offers a framework that empowers students to become not just proficient digital users but active participants in societal transformation, contributing to a more inclusive and just digital future. The study also suggests areas for future research, including empirical investigations on the practical implementation of critical digital literacy frameworks across various educational settings and contexts.

This study aims to analyze the influence of promotion, shopping convenience, advertising, recommendation, comment, and credibility factors on purchase intensity in the TikTok Shop platform among Indonesian households. The rapid development of social commerce services requires a deep understanding of factors driving online purchasing decisions, especially among families as primary users. A quantitative approach was employed, utilizing a Likert-scale questionnaire distributed online. The sample consisted of 150 active TikTok Shop users from various household backgrounds. Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS was used to analyze the direct effects of each factor on purchase intensity. The results indicate that promotion, shopping convenience, and credibility significantly and positively influence purchase intensity, while advertising, recommendation, and comment have relatively weaker yet still relevant effects. These findings underscore the importance of effective promotional strategies, ease-of-shopping enhancements, and building platform credibility to boost purchase intensity within the household consumer segment. The practical implications can guide e-commerce practitioners and digital marketers in formulating adaptive marketing strategies in the era of social commerce.

Recommender systems play a critical role in shaping user decisions across digital platforms; however, the increasing complexity of recommendation algorithms has raised serious concerns regarding transparency, trust, and accountability. This study focuses on enhancing the transparency of recommender systems by integrating Explainable Artificial Intelligence (XAI) techniques within a MovieLens-based recommendation framework. The primary problem addressed is the opacity of conventional recommendation models, which limits user understanding of why certain items are recommended and may reduce trust, perceived fairness, and system acceptance. Accordingly, the main objective of this research is to design and evaluate a hybrid explainable recommender system that balances predictive accuracy with human-understandable explanations. The proposed approach combines Matrix Factorization, feature-importance-aware neural networks, and knowledge graph embeddings to construct a robust recommendation model. To enhance explainability, multiple XAI strategies are integrated, including model-agnostic methods (LIME, SHAP, and CLIME), argumentation-based explanations, and context-aware personalized explanations. A comprehensive evaluation framework is employed, incorporating algorithmic metrics (accuracy, fidelity, robustness, counterfactual consistency, and fairness) alongside human-centered evaluations measuring trust, transparency, cognitive load, and perceived usefulness. Experimental results demonstrate that the knowledge graph–enhanced hybrid model achieves superior recommendation accuracy compared to baseline approaches. Moreover, context-aware explanations consistently outperform other methods in terms of fidelity, robustness, and user-perceived transparency, while argumentation-based explanations are found to be the most persuasive. CLIME offers a strong balance between technical stability and interpretability. The findings indicate that no single explainability technique is universally optimal; instead, hybrid and adaptive explanation strategies are most effective. In conclusion, this study confirms that human-centered, context-adaptive XAI significantly improves transparency and user trust in recommender systems, highlighting explainability as a fundamental component rather than an optional enhancement.

This study aims to gain an in-depth understanding of the influence of user experience and e-service quality on user satisfaction with the MyTelkomsel mobile application. This research was conducted using a descriptive qualitative method along with data collection techniques in the form of semi-structured interviews and direct observation of active users of the MyTelkomsel application in the city of Medan. Data was obtained from 10 informants selected using purposive sampling techniques, supported by documentation of user interactions with the application. The results of the study indicate that ease of navigation, informative interface display, application response speed, and service feature reliability are the main factors that shape user satisfaction. Users tend to feel satisfied when the application is able to provide a comfortable, efficient, and responsive user experience that meets their needs. The findings of this study are expected to provide strategic input for Telkomsel in improving user experience and service quality as an effort to strengthen customer satisfaction and loyalty.

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.  

The rapid advancement of digital technology has significantly influenced students’ learning behavior while gradually reducing their interest in local cultural education, including the study of the Javanese script. This phenomenon is evident at SDIP Haji Muhammad Subandi, where most students still struggle to recognize, read, and understand Javanese characters due to the limited use of engaging and interactive learning media. To address this issue, a 2D educational game was developed as an innovative, contextual, and enjoyable learning medium that integrates cultural elements into an interactive digital learning experience. The design and development process employed the Multimedia Development Life Cycle (MDLC) method, which consists of six stages: concept, design, material collecting, assembly, testing, and distribution. The game was built using Unity software to produce dynamic visuals, responsive controls, and supporting audio elements that enhance the immersive quality of gameplay. The educational game enables students to learn Javanese script through interactive play activities, including letter recognition, pronunciation practice, and quiz-based challenges. Each component was designed to strengthen cognitive understanding while increasing students’ intrinsic motivation to learn. Expert validation results indicated that the game met the “highly feasible” criteria as a learning medium, while user testing showed notable improvements in motivation, engagement, and learning enjoyment. Overall, this educational game not only enhances learning effectiveness but also contributes to the preservation and revitalization of the Javanese script as part of Indonesia’s cultural heritage in the digital era. Therefore, this game-based learning approach serves as an adaptive and culturally grounded educational innovation for primary-level students

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.

The development of social media as a space for disseminating information has presented opportunities as well as challenges in religious learning for students. TikTok, as a digital platform that is popular among the younger generation, provides a variety of Islamic content with the theme of fiqh and morals that have the potential to affect users' religious understanding. This study aims to analyze the influence of Islamic content on TikTok with the theme of fiqh and morals on the religious knowledge of students of the PAI Study Program UIN Palopo. The research method used a quantitative approach with multiple linear regression analysis of 268 respondents selected through random sampling techniques. The results of the study show that the content of fiqh has a positive and significant effect on students' religious knowledge, so that content that contains explanations of the laws of worship can improve religious understanding. Moral content has also proven to be significant, especially because of the presentation of moral values that are simple and relevant to student life. Simultaneously, the two variables contributed 61.3% to the increase in religious knowledge. These findings confirm that TikTok plays a role as an effective informal learning medium, although the limitations of the duration of the content make the understanding formed not always deep. This research implies the need to strengthen digital literacy and students' critical attitudes in filtering religious content so that the understanding obtained is more comprehensive and accurate.

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 research is motivated by the widespread use of non-standard Indonesian on social media, which has resulted in low public awareness of the importance of implementing Indonesian according to the rules.The purpose of this study is to analyze Instagram users’ awareness of using standard Indonesian words and to assess the effectiveness of language coaching through social media. The research employed a qualitative descriptive method with a case study approach, where data were collected through polls using the Instagram Story feature, observation of uploaded content, and analysis of audience interactions between account managers and followers. The findings show that most social media users still tend to use nonstandard word forms in daily communication. However, after receiving coaching through educational content, there was a significant improvement in understanding and applying standard word forms. This study concludes that Instagram can serve as an effective and engaging medium for language development, as it can reach diverse audiences and encourage users to be more aware, responsible, and wise in using proper Indonesian according to the norms of the Kamus Besar Bahasa Indonesia (KBBI) and the Pedoman Umum Ejaan Bahasa Indonesia (PUEBI).

Security in e-commerce applications is a crucial factor that significantly affects user trust. Many users often feel anxious about the confidentiality of personal data, transaction security, and the potential for misuse of information. This study is a systematic literature review (SLR) using the PRISMA model, aiming to analyze in depth the influence of security on user trust in the context of e-commerce applications. Through this review, relevant previous studies on user security and trust were identified and evaluated to provide a more comprehensive understanding. The results of the analysis show that the improvement and implementation of superior security features, including strict data protection, multi-layered authentication, and transparent and robust privacy policies, have an essential role in growing and strengthening user trust. Guaranteed security not only creates a sense of convenience during the transaction process, but it is also very effective in increasing and maintaining user loyalty to the e-commerce platform in question. Improving security can be interpreted as a strategic investment for the sustainability of digital businesses.

Rapid advances in Information Technology (IT) in the 21st century have significantly transformed educational practices, particularly in vocational high schools (SMK) specializing in Software Engineering (RPL). Traditional learning media, such as textbooks, static slides, and lectures, often fail to provide an interactive learning experience, limiting students’ engagement and reducing the effectiveness of knowledge retention. To overcome this challenge, this study focuses on developing and validating an interactive quiz application called VOCANETIC, designed as an innovative learning aid for SMK RPL students. The research uses a Research and Development (R&D) approach, emphasizing the stages of product development, expert validation, and feasibility assessment. VOCANETIC is developed using VB.NET in the Microsoft Visual Studio environment, and MySQL is employed for efficient data management and storage. The application features interactive quizzes, real-time feedback, and user-friendly interfaces to enhance student engagement and motivation. Based on evaluation and analysis by expert validators, VOCANETIC meets the “Proper” feasibility criteria, demonstrating usability, interactivity, and educational effectiveness. The results indicate that VOCANETIC is capable of supporting active learning, improving students’ understanding of software engineering concepts, and providing an effective platform for self-assessment and practice. In conclusion, the VOCANETIC application is proven to be a valid, reliable, and practical tool that can be implemented as an interactive learning medium in SMK RPL, offering an innovative approach to facilitate student learning and engagement in the digital era.                                                              

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 aims to develop and evaluate the feasibility of PEMAPOSI (Pemahaman Eksposisi), an interactive digital learning media designed to improve fourth-grade students’ comprehension of exposition texts. The study employed a Research and Development (R&D) method using the ADDIE model, which includes analysis, design, development, implementation, and evaluation stages. The media was developed in the form of an interactive flipbook integrating local cultural elements and was implemented in an elementary school setting. Data were collected through validation sheets and questionnaires involving media experts, material experts, teachers, and students. The results showed that PEMAPOSI obtained a validity score of 93.5% from media experts and 89.5% from material experts, both categorized as “very valid.” User response results also indicated a high level of practicality, with teacher and student assessments reaching 91.6% and 87.5% respectively. These findings indicate that PEMAPOSI is feasible, practical, and effective as a learning medium to support students’ understanding of exposition texts in elementary schools. The integration of interactive features and local cultural elements contributes positively to student engagement and learning outcomes.

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.

CPU scheduling is a core function in modern operating systems that significantly impacts system performance and efficiency. Among various scheduling algorithms, Priority Scheduling is widely used and exists in two main variants: non-preemptive and preemptive. The non-preemptive mode allows a process to run to completion, while the preemptive mode can interrupt a running process for a higher-priority one. Understanding the behavioral differences between these modes is crucial but often challenging through manual calculations. To address this, an interactive web-based application was developed to simulate and visualize both preemptive and non-preemptive Priority Scheduling algorithms. The research method involved designing the system logic based on the core principles of each scheduling variant, followed by implementation using standard web technologies: HTML, Tailwind CSS, and JavaScript. The application allows users to input custom process data or load predefined case studies, select the scheduling mode, and instantly receive a comprehensive analysis. The results include a dynamically generated Gantt chart, a detailed performance metrics table (including turnaround time and waiting time), and a step-by-step execution log. Through a comparative analysis of a specific case study, the application is proven to be an effective educational tool. It accurately simulates both modes and visually demonstrates the impact of preemption on execution order, resource utilization, and key performance metrics, thereby simplifying the learning process for students and educators.

In the current era of digitalization, public needs for fast, efficient, and transparent public services are increasing. The Sidoarjo Regency Government responds to these needs by launching a technology-based public service innovation, namely the Sidoarjo People's Service System (SiPraja) application. This study aims to analyze the implementation of public policy through SiPraja in Medaeng Village, Waru District, Sidoarjo Regency. The method used is descriptive qualitative with data collection techniques through in-depth interviews, participatory observation, and documentation study. Research informants consisted of the Village Head, village officials, SiPraja operators, and community service users. The results show that the implementation of SiPraja in Medaeng Village has been quite good based on the Van Meter and Van Horn indicators, including the size and objectives of the policy, resources, characteristics of implementing agents, attitudes of implementers, inter-organizational communication, and social, economic, political environments. Supporting factors for implementation include high village government commitment, adequate technology infrastructure availability, and active community participation. However, there are still obstacles in the form of uneven digital literacy among the community, especially in the elderly age group, and limited understanding of some residents regarding application usage procedures. This study provides recommendations to increase the intensity of socialization and training on the use of the SiPraja application, as well as optimize the role of RT/RW as community assistance agents.