This study investigates directive speech acts in Chapter 1 of the Japanese manga *Dandadan*, focusing on how characters use language to influence others’ behavior. The objective is to classify the types of directive utterances and analyze their pragmatic functions based on the speaker and context. A qualitative descriptive method was employed, using pragmatic theory to analyze speech data taken directly from dialogue panels. The analysis identified nine instances of directive speech acts, which include commands, prohibitions, invitations, and requests. Ayase Momo emerges as the character who produces the most directive utterances, predominantly in the form of commands and prohibitions, indicating her dominant and assertive communication style. Okarun, in contrast, tends to use polite requests and prohibitions, suggesting a more cautious and respectful approach. The findings reveal that the types of directive speech acts used are closely related to each character’s personality and the emotional context of the scene. These results underscore the role of speech acts in character development and narrative dynamics within manga. The study’s implication lies in showing how linguistic choices in manga dialogue reflect interpersonal power relations and emotional intensity. Future research is encouraged to explore directive speech acts across multiple chapters for broader insights.

Penelitian ini mengkaji pentingnya keterampilan desain antarmuka pengguna (UI) dan pengalaman pengguna (UX) bagi siswa SMP, SMA, dan SMK dalam menghadapi tuntutan industri digital. Tujuan penelitian adalah untuk mengevaluasi efektivitas program pembelajaran Academy Figma dalam meningkatkan kompetensi desain siswa. Metode yang digunakan adalah pendekatan deskriptif kualitatif, yang meliputi riset pasar dan analisis kebutuhan untuk merancang kurikulum yang sesuai. Hasil penelitian menunjukkan bahwa program ini berhasil meningkatkan pemahaman siswa tentang prinsip dasar desain UI/UX serta keterampilan praktis dalam menggunakan Figma. Kesimpulan dari penelitian ini menegaskan bahwa Academy Figma berperan penting dalam menjembatani kesenjangan antara kurikulum pendidikan formal dan kebutuhan industri, serta mempersiapkan siswa dengan keterampilan yang relevan untuk bersaing di pasar kerja global. Program ini diharapkan dapat menjadi model bagi inisiatif pendidikan lainnya dalam bidang desain digital.

Social media now plays an important role in everyday life and has a great impact on society and people. The drawbacks of social media are discussed in this study. Problems that arise from social media include the rise of fake news, digital addiction, mental health problems, and cyberbullying. To optimize the positive impact of social media and reduce its negative impact, social media must be used wisely. This study aims to analyze the effect of social media use on adolescent mental health. This study used a survey method involving 200 adolescents aged 13-18 years as respondents. Data was collected through a questionnaire that measured the frequency of social media use, types of content consumed, and mental health indicators such as depression and anxiety. The results showed that there was a positive correlation between the frequency of social media use and the level of depression and anxiety in adolescents. In addition, exposure to negative content such as cyberbullying and others also contributed to the decline in mental health. This study concludes that excessive and unhealthy social media use can negatively impact adolescents' mental health.

The development of technology with digital image processing is often utilized to solve various problems in image processing, such as facial recognition, object detection, and interaction between users. In this study, we developed an interactive hand gesture-based game titled "Slap Mosquito" that utilizes image processing techniques to control the game through hand gestures. Using Rapid Application Development (RAD), Python, OpenCV, and Pygame methodologies, this game allows users to slap mosquitoes virtually in real-time through hand gesture recognition that is read by the camera and translated into in-game actions. RAD allows rapid development iterations and improvements based on user feedback, which is essential for improving system responsiveness and accuracy. This study focuses on detection precision, system responsiveness, and the impact of lighting on game performance, as measured using frames per second (FPS) and user gameplay results. The test results show that optimal lighting meets high detection accuracy, while low lighting conditions have a negative impact on accuracy and responsiveness. The results of this study provide insights for further development of gesture-based applications, especially regarding the importance of optimizing technical parameters and RAD methodology in improving user experience.