Publication Search

. This study examines expressive speech acts of praising in the comment sections of TikTok posts on the @amuhaiminiskandar account. The research aims to analyze the forms, functions, and contexts of praising speech acts based on the speech act theory proposed by John Searle. This study employs a qualitative descriptive method with a documentation technique, where data are collected from comments on TikTok posts of the @amuhaiminiskandar account. The findings reveal that praising speech acts reflect various expressions of appreciation toward the content, the public image of Cak Imin, and his political attitudes and style. This research contributes to understanding the dynamics of digital communication through social media, particularly TikTok, as one of the most widely used platforms in Indonesia.

This community service program aims to prevent cyberbullying in Mojorejo Kemlagi Village and provide students with an understanding of the dangers posed by cyberbullying. The steps to prevent cyberbullying are not sharing posts too often, reducing irrelevant comments, limiting the use of social media, and not being easily provoked. The result of this community service is an effort to prevent cyberbullying in the modern era with the understanding of SMP Negeri 2 Kemlagi students.

This study aims to see the determination of the minimum limit of criminal liability for children in conflict with the law after the emergence of the rape and murder case of a junior high school student in Palembang in August 2024 where the three perpetrators who were under 14 (fourteen) years old were not sentenced but only in the form of actions. This research is a normative legal research that uses a statutory approach and a case approach. The results of this study indicate that when referring to the provisions of international law on children, namely the CRC and its General Comments and the Beijing Rules, the determination of the minimum age of criminal liability for children and the minimum age of children can be punished in national law, namely the SPPA, is appropriate so that there is no need for changes. There are three solutions to dealing with cases of children committing sexual violence in the future that the government can do, namely: Strengthening parental responsibility in supervising digital literacy and strengthening family socio-economics, psychological approaches to children and the importance of sex education

This article explores the communication language employed by Ustadzah Oki Setiana Dewi in her preaching activities. The aim of this study is to examine the effectiveness of the language in enhancing audience understanding and acceptance of preaching messages. The methodology involves a literature review with qualitative analysis of Ustadzah Oki’s sermons available on digital platforms. The findings reveal that Ustadzah Oki’s communication style is characterized by simplicity, friendliness, and empathy. These traits enable her preaching to be well-received by diverse groups, particularly the younger generation. Furthermore, Ustadzah Oki often uses inspiring stories and analogies closely related to everyday life, making it easier for the audience to grasp the messages. Her soft tone and choice of positive words also create a comforting and engaging atmosphere. This approach not only effectively conveys the message but also builds emotional connections with the audience. The study also highlights positive feedback from audiences, evident from various comments and responses on social media. Many feel motivated and inspired by her inclusive preaching style, which transcends social, age, and educational backgrounds. This article suggests that similar approaches should be widely adopted in preaching to ensure that religious messages are universally accessible. In conclusion, Ustadzah Oki’s friendly, simple, and empathetic communication approach significantly enhances the effectiveness of her preaching and strengthens emotional bonds with her audience. This model of communication is relevant in modern preaching contexts and serves as an inspiration for other preachers to integrate universal Islamic values with creative and heartfelt communication methods. Thus, preaching becomes not only a medium for conveying religious teachings but also a tool for fostering broader social harmony.

Lifestyle trends across generations have an impact on da'wah strategies. The approach with the stand-up comedy method or humor on the YouTube platform is the most up to date alternative. This phenomenon is directly proportional to the high prevalence of YouTube users in Indonesia. So this descriptive research aims to analyze the sentiment of public response to religious content delivered through stand up comedy. The data source for this research is a YouTube video uploaded by Dzawin Nur with the topic “Kuliah Antum - Ustad Kembali #2.1”. Sentiment analysis uses web scraping techniques from YouTube Comment Extractor and PredictEsay based on Natural Language Processing (NPL). From the 1.006 randomly analyzed comments, 300 comments showed positive sentiment reaching 99.6%. Meanwhile, neutral and negative sentiments are only 0.2% each. Da'wah through stand up comedy is effective as a da'wah strategy in a form that is more relevant to the transformation of social dynamics.

This study aims to analyze the use of Indonesian language variations on Ria Ricis's Instagram account, a renowned influencer with a diverse audience. The analysis seeks to understand how Ria Ricis utilizes language variations as a communication tool, builds relationships with her followers, and shapes her self-image on social media. The research employs a qualitative approach by examining content such as captions and comments based on theories of language variation, pragmatics, and digital communication. The results show that Ria Ricis uses a casual, flexible, and relatable language style, incorporating slang, colloquial expressions, and popular terms. The language employed reflects an effective communication strategy to foster emotional closeness with her audience. Moreover, the social media context enables the use of informal language to create interactive and authentic relationships. This study highlights the significance of language variations in strengthening social connections and constructing personal identity on social media.

This research is to describe the types of language variations in comments on Fuji_an's Instagram account. This research approach is a qualitative approach. This research type is descriptive. The data collection techniques for this research are reading techniques, note-taking techniques, and documentation techniques. The results of the research show that the use of various languages ​​in the comments column of Fuji_an's Instagram account consists of four types of language varieties, namely language varieties in terms of the speaker, language varieties in terms of how to communicate, language varieties in terms of the topic of conversation, and language varieties based on the level of formality. Data from research results found in Fuji_an's Instagram account as many as 50 data consisting of 2 data in terms of the speaker, namely 2 data of official variety and 6 data of unofficial variety 50 data in terms of communication methods, namely written variety data consisting of 2 data of standard written variety and 48 non-standard written variety data 4 data in terms of topic of discussion, namely literary variety 1 data, functional variety 1 data, political and legal variety 1 data, and social variety 1 data 21 data in terms of level of formality, namely intimate variety 7 data, and consultative variety of 2 data.

This study analyzes social media comments related to a controversial incident involving Gus Miftah and a street vendor, using Edward T. Hall's theory of High- and Low-Context Communication. The goal is to identify the degree of context in each comment and explore how cultural and social values shape online discourse. A qualitative content analysis was conducted on 9 user-generated comments from a social media platform. The comments were categorized as either High-Context or Low-Context based on the use of cultural references, implicit meanings, and the need for shared cultural knowledge to understand the message. The analysis found that 5 out of 9 comments (55%) were Ligh-Context, while 4 comments (45%) were How-Context. High-context comments often utilized religious symbolism, cultural idioms, and implicit moral critiques, reflecting Indonesia’s deeply rooted religious and moral values. In contrast, low-context comments relied on direct language, explicit criticism, and factual storytelling, making them universally understandable across cultures. The study highlights how local cultural norms, religious values, and moral expectations influence the nature of public discourse online. This approach demonstrates Hall's framework's relevance in cross-cultural communication studies while also providing insights into how Indonesian social media users engage in moral and religious criticism. This analysis can be used as a basis for future research on the intersection of culture, religion, and digital discourse.

The 2024 Indonesian Presidential Election marked the fifth general election in the country, aimed at electing a new President and Vice President for the 2024–2029 term. Candidates competed to succeed the outgoing president, who had served two constitutional terms. A key aspect of this election was the candidate debates, where each candidate presented their vision, allowing the public to assess their policies. These debates were broadcast on platforms like YouTube, giving the public a space to comment. However, analyzing YouTube comments presents challenges due to the volume of data, language diversity, and informal expressions. Sentiment analysis, crucial for understanding public opinion, uses algorithms such as Naïve Bayes, which is based on Bayes' Theorem and assumes feature independence. Naïve Bayes is widely used in text analysis for its speed and simplicity. When applied to YouTube comments from the 2024 debates, the algorithm demonstrated its effectiveness, especially with a balanced dataset through random oversampling. It achieved 85.155% accuracy, high precision, recall, and an AUC of 96.8% on an 80:20 data split. Its fast classification time (0.000998 seconds) makes it suitable for real-time sentiment analysis, validating its use for political events. Future applications may incorporate advanced techniques like BERT for more sophisticated analysis.