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Social media has become a tool used by everyone. It has become a widely used tool for sharing information and as a promotional platform. In today's digital era, many MSMEs (Micro, Small, and Medium Enterprises) promote their products using social media, eliminating the need to rely entirely on conventional strategies such as direct sales in markets or stores. Marketing utilizes digital technology to achieve goals through active and measurable communication. Marketing strategies using social media are crucial because they can reach a wide range of buyers without time or geographic limitations. Sellers and buyers can interact with each other through messages, comments, and reviews. This research aimed to gain a deeper understanding of how social media influences the marketing strategies implemented by MSMEs through interviews. The results of this study concluded that social media significantly influences MSME marketing strategies and builds relationships with customers. MSMEs are expected to develop better promotional strategies in the future and learn to adapt to competition in the digital era. As a suggestion, MSMEs are advised to integrate interactive content such as live streaming and influencer collaborations to strengthen consumer engagement, as well as allocate a minimum budget of 10-15% of revenue for digital marketing training.

Sexual violence remains a pervasive human rights violation globally, with nearly one in three women experiencing physical or sexual abuse in their lifetime (UN Women, 2024). In Indonesia, the National Commmision on Violence against Women (Komnas Perempuan) reported 330,097 cases in 2024, of which 26,9% were sexual violence. Despite Law No. 12 of 2022 on the Crime of Sexual Violence (UU TPKS), gaps persist between legal enforcement and public awareness, emphasizing the need for effective advocacy. This study investigates the rol of digital media in human rights advocacy by analyzing KemenPPPA’s Instagram Reels campaign titled “Three Years Since the Enactment of the Sexual Violence Law.” Using a qualitative descriptive approach, data were collected through digital observation and documentation of the video, captions, and public comments. Framing Analysis (Entman, 1993) identified problem definitations, moral evaluations, and proposed solutions, while Normative Content Discourse Interpretation (NCDI) interpreted content based on national law and international human rights standards, particularly CEDAW. Findings show that the campaign communicates key human rights values, including victim protection, gender equality, and justice. The study highlights the potential of digital media as both an educational tool and platform for social participation, stressing participatory legal communication to complement formal law enforcement and advance women’s rights in Indonesia.

This study delves into the linguistic and ideological dimensions of cyberbullying discourse directed at TikTok creator Putri Padang within the framework of Critical Discourse Analysis (CDA). In Indonesia’s digital landscape, TikTok has become one of the prominent platform for self-expression and cultural performance, yet it also serves as a site for public shaming and moral policing. Drawing on Fairclough’s (1995) three-dimensional model, this qualitative research analyzes fifty hate comments collected from several TikTok videos featuring Putri Padang to uncover how language reproduces power relations and cultural ideologies. The findings reveal that hate comments are not random acts of aggression but structured discursive practices characterized by repetition, labeling, and moral judgment. Linguistic strategies such as mockery, objectification, and intertextual humor—exemplified by terms like “muka kotak” and “Adudu”—function as mechanisms of symbolic domination, reinforcing gendered and regional hierarchies. Moreover, the comments often invoke patriarchal values and cultural authenticity to moral criticism, positioning the target as a violator of feminine and cultural norms. The research contributes to cyber-discourse studies by extending into multimodal contexts and emphasizing the need for culturally grounded approaches to online gender-based violence.

This research explores how people use assertive speech acts in the comment section of a YouTube video titled “Democratic Candidates Debate: Education,” which was uploaded by ABC News. A qualitative method with content analysis is employed to examine how users share their thoughts, express agreement or disagreement, and participate in online discussions through assertive language. The data were collected from selected comments posted between 2019 and 2020, particularly those reacting to the candidates’ views on education. The analysis applies Searle’s speech act theory, focusing on seven types of assertive speech acts: claiming, stating, reporting, describing, informing, complaining, and concluding. A total of 24 assertive utterances were identified, with the following distribution: claiming (11), reporting (3), complaining (4), stating (2), informing (2), describing (1), and concluding (1). Among these, "claiming" appeared most frequently, indicating that many users shared strong opinions or support, especially for Andrew Yang’s stance on education. Overall, the findings suggest that YouTube serves not only as a platform for viewing content but also as a space where people actively engage in discussions, express their beliefs, and respond to public issues through language.  

This study aims to analyze the role of the Instagram account @sits_dishubsurabaya as a traffic information medium in the city of Surabaya. The background of this study is based on the increasing use of Instagram social media as a means of public communication by government agencies, which enables the rapid, efficient, and easy dissemination of information to the public. The research method used is descriptive qualitative with data collection techniques through observation and documentation of the account's uploaded content. The results show that the @sits_dishubsurabaya account plays an important role in disseminating traffic information, including traffic condition updates, driving safety appeals, and public service announcements. The presentation of content that is visually and substantively informative encourages public engagement through likes, comments, and sharing of posts. These findings show that the effectiveness of social media does not solely depend on the frequency of posts, but on the clarity of the message, the relevance of the information, and interaction with the public. The @sits_dishubsurabaya account plays an important role in supporting the dissemination of public information in the city of Surabaya.

This research is inspired by the extraordinary success of the domestic animated film titled Jumbo, which managed to set a new record and trigger a wave of overwhelmingly positive sentiment responses on the Instagram social media platform. Its main focus is to provide a deep qualitative interpretation of audience sentiment data that was previously collected and quantitatively evaluated by Prasetia (2025) from 764 original comments, which were then filtered down to 221 samples. The approach applied involves secondary data analysis by reviewing the frequency of Prasetia's data through the lens of social identity theory and collective efficacy theory. The results of the analysis reveal that the prevalence of positive sentiment at 68.7% does not merely reflect a simple evaluation of the film but also serves as a fundamental expression of shared pride and in-group preference. Expressions of support that emphasize appreciation for the achievement and national pride over the work of local creators act as a tool for strengthening social bonds, reinforcing the national identity linked to achievements in the film sector while also demonstrating the audience's collective belief in the potential of the domestic animation industry (mastery experience). Practically, the recommendation for local film promotion strategies is to highlight narratives about shared accomplishment and national pride to build audience loyalty and continuous interaction in the digital environment.

The rapid development of technology encourages the change in crime patterns from conventional to digital through the use of electronic devices. This phenomenon makes many individuals and groups use technology not only for positive purposes, but also to gain financial gain illegally. Instagram as one of the most popular social media applications has also become a space for digital crime practices, especially through the creation of fake accounts. Fake accounts are used for various harmful acts such as online fraud, the spread of fake news, the use of identities or photos without permission, acts of bullying and negative comments that trigger conflicts, to the spread of pornographic content. This research aims to identify the forms of fake account practices on Instagram, analyze the causative factors, and evaluate the application of applicable laws, especially Law Number 19 of 2016 concerning Information and Electronic Transactions. The research method used is empirical legal research with a qualitative approach. The data was collected through interviews with investigators from the Directorate of Criminal Investigation of the Metro Jaya Police, academics, and civil society organizations (CSO). The results of the study show that the practice of fake accounts still often occurs due to low digital literacy, weak supervision from platforms, and not optimal law enforcement. Although Article 35 jo Article 51 paragraph (1) of the ITE Law has regulated the prohibition of data and identity manipulation, its implementation still faces a number of obstacles from aspects of legal substance, enforcement structure, and community legal culture. This study recommends the need for collaboration between the government and social media platforms in limiting the creation of fake accounts, improving people's digital literacy, and reformulating legal rules that are clearer and more adaptive to the dynamics of digital crime. These efforts are needed so that the protection of social media users is optimal and able to create a safe digital space.

This study aims to develop a social media-based learning platform, specifically an Instagram account (@AIK_Muh5), for Islamic Religious Education (AIK) at Muhammadiyah Junior High School, using the first two stages of the ADDIE model (Analysis and Design). The study is based on theoretical frameworks such as social media-based learning, the challenges of AIK in the 21st century, and educational theories like constructivism and connectivism. The platform is designed to offer interactive and engaging learning through visual content like infographics, educational videos, and Instagram’s interactive features (polls, stories, comments, and live sessions). This approach aims to enhance students' digital literacy, provide relevant content, and strengthen Islamic character. While the platform has potential, it faces limitations, including a lack of empirical data to measure its effectiveness, the risk of oversimplifying complex AIK material, and an unclear evaluation system. Additionally, access issues and age restrictions hinder its use. The study suggests continuous development, integration with face-to-face learning, and inclusive strategies to ensure equitable access for all students, positioning this platform as a model for AIK learning in the digital age.

Village infrastructure development plays an important role in improving community welfare. However, public opinion regarding the condition of infrastructure is often not analyzed comprehensively and based on data. This study aims to analyze public opinions toward infrastructure in Malitidari Village using the Unsupervised Learning method with the Orange application. The data were collected from public comments on social media and digital surveys, which were then processed in text format. The analysis process includes data preprocessing, tokenization, vectorization, and the application of a clustering algorithm to group opinions into several categories without prior labeling. The Orange application was used due to its ability to visualize data analysis workflows interactively and efficiently. The results of this study show that public opinions can be grouped into several main clusters: positive opinions related to the development of roads and public facilities, and negative opinions concerning delays and unequal quality of infrastructure. Based on these findings, the Unsupervised Learning method is proven effective in illustrating public perceptions of village infrastructure conditions. The results are expected to serve as a reference for the village government in planning and improving the quality of infrastructure development in Malitidari Village  

The implementation of the core tax administration sistem (Core Tax Administration Sistem or Coretax) in early 2025, which was expected to modernise tax services, instead sparked a wave of public criticism due to various fatal technical obstacles. The dysfunction of this sistem not only hampered administration but also gave rise to discourse on distrust of state budget management. This study aims to analyse in depth how the failure to implement Coretax has eroded public trust and damaged the fiscal social contract between taxpayers and the state. The research method uses a qualitative approach with a Critical Discourse Analysis perspective based on Norman Fairclough's model. Data was collected through netnography from public comments and interactions on social media, then analysed through three dimensions: text (micro), discourse practice (meso), and social practice (macro). The findings show that public discourse is not merely technical complaints, but a form of symbolic resistance. At the micro level, sistem dysfunction is interpreted as evidence of incompetence and alleged budget irregularities. At the meso level, the public mobilises collective memory related to past government project failures to validate their distrust. At the macro level, this signifies a violation of the principle of reciprocity, whereby the state is perceived as demanding tax compliance without providing adequate services, thereby triggering a crisis of legitimacy. The implications of this study emphasise that digital transformation of the public sector requires transparency and accountability; failure to respond to this crisis has the potential to significantly reduce voluntary tax compliance.

Bea Cukai has recently been in the public spotlight, especially regarding the supervision of goods from abroad. News and public responses regarding Bea Cukai's supervision create pros and cons, thus triggering a variety of responses from the public. This study aims to analyze the sentiment of Indonesian people towards the performance of Bea Cukai in monitoring goods from abroad by utilizing Twitter social media. In this research, the Support Vector Machine (SVM) algorithm is applied to classify public comments on Twitter into positive or negative sentiments. Through the crawling process carried out from June 1, 2023, to May 12, 2024, 9,051 entries of data were collected. The analysis results showed an accuracy of 93.87%, precision 94%, recall 93%, and F1-score 94%. These results show that the SVM method is effective in analyzing public sentiment, especially related to Bea Cukai's supervision.

This study explores the use of Leech's politeness maxims and the cost-benefit principle in LinkedIn comments about job postings, aiming to understand how job seekers maintain politeness when pursuing job opportunities in a professional digital environment. The research objects used were comments in 5 job postings. Using a descriptive qualitative approach, the comments on the LinkedIn platform were analysis and classified based on the 6 maxims proposed by Leech: Tact Maxim, Generosity maxim, Approbation Maxim, Modesty Maxim, Agreement Maxim and Sympathy Maxim. The findings showed that out of a total of 31 data found, the Tact Maxim (32%) was the most common, followed by Approbation Maxim (16%), Generosity maxim (13%), Modesty Maxim (13%), Agreement Maxim (3,2%) and Sympathy Maxim (3,2%). Further cost-benefit analysis revealed that most of the comments showed a lack of politeness, focusing only on personal benefits without providing benefits to the interlocutor.

The COVID-19 pandemic triggered a significant transformation of performing arts in Aceh, particularly through Taman Budaya Aceh, which shifted its stage activities into digital formats. This study aims to describe the processes of digital mediation, changes in production formats, audience engagement patterns, and the archival function of cultural performances through Taman Budaya Aceh’s official YouTube channel. Using a qualitative descriptive case study design, the research analyzed 12 performance videos produced and uploaded between 2020–2022 through visual and narrative analysis. The findings reveal three key aspects: first, the shift from offline to online production created a new aesthetic based on camera work and editing; second, audiences transformed into mediatized participants through comments, likes, and replays; third, digital platforms functioned as cultural repositories, expanding access and strengthening the preservation of performances. These findings highlight that digitalization of performing arts is not merely an emergency response, but an integral part of constructing a sustainable arts ecosystem in the digital disruption era.

Social media has transformed communication patterns, with TikTok emerging as a platform where interactions are highly expressive and multimodal. This study examines the role of emojis as politeness strategies in the comments section of TikTok influencers, focusing on how these visual symbols help maintain harmonious digital communication. Using a qualitative descriptive approach, the researchers analyzed 20 emoji-containing comments from a high-engagement influencer video. The data were interpreted through Brown and Levinson’s (1987) politeness theory, supplemented by the concept of multimodality. The findings indicate that emojis significantly support both positive and negative politeness strategies. Positive politeness was dominant (around 70%), often realized through empathy, humor, and solidarity-building emojis, while negative politeness was achieved through hedging, apologies, and respectful cues. Emojis also frequently softened bald-on-record statements and enabled off-record indirectness. The study concludes that emojis are crucial in enhancing politeness, enriching emotional expression, and fostering a sense of community in TikTok interactions, highlighting their importance in the evolving landscape of digital sociolinguistics.

Environmental issues are becoming increasingly urgent, particularly the worsening clean water crisis, which requires effective mass communication to raise awareness and encourage community involvement. Social media has emerged as a strategic platform for disseminating information and promoting environmental actions. PandawaraGroup, a dedicated TikTok account focusing on environmental issues, utilizes persuasive communication to encourage positive actions. This study aims to examine the influence of persuasive communication by the @PandawaraGroup TikTok account on followers’ interest in participating in social actions. The research employed a quantitative method with data collected through an online questionnaire (Google Form) distributed to 100 respondents who are followers of the account. Data analysis was conducted using simple linear regression along with descriptive tests, validity, reliability, and dimensional analysis. The findings reveal that persuasive communication from @PandawaraGroup has a moderate influence on followers’ interest in engaging in social actions. Based on these results, the study suggests that @PandawaraGroup should strengthen follower engagement through active interactions, such as responding to comments and direct messages, as well as organizing regular Q&A or discussion sessions. Furthermore, diversifying content with creative approaches is essential to maintain audience interest and relevance. These strategies are expected to enhance the effectiveness of @PandawaraGroup in promoting environmental awareness and public participation.

This study aims to examine the utilization of the official Instagram account @baznasindonesia as a digital platform for educating the public about zakat. In today’s era of rapid technological development, social media, particularly Instagram, has become an effective medium for disseminating information, raising awareness, and enhancing public participation in zakat. The research method employed is qualitative descriptive, with data collected through interviews, observations, and documentation. The findings reveal that BAZNAS leverages various Instagram features such as carousel feeds, reels, and Stories to present educational content that is engaging, easy to understand, and aligned with the communication style of younger generations. Furthermore, interaction with the public is strengthened through the comments section and Direct Messages (DM), enabling responsive two-way communication. Challenges encountered include ensuring information accuracy, addressing negative comments, and adapting content to the fast-changing digital trends. Nevertheless, BAZNAS seeks to innovate by collaborating with influencers, public figures, and partner institutions to expand the reach of zakat education. This study concludes that the @baznasindonesia Instagram account has proven effective in enhancing zakat literacy, building public trust, and reinforcing the institution’s image as the official zakat management authority in Indonesia. The findings are expected to contribute to the development of digital communication strategies in Islamic philanthropy and da’wah, as well as provide a useful reference for future research exploring other social media platforms with different methodological approaches.

This research aims to analyze GoPay user sentiments on the X social media platform (formerly known as Twitter) using the Naive Bayes Classifier algorithm. Sentiment analysis was conducted to understand user perceptions and satisfaction levels towards GoPay digital payment services based on their shared comments and reviews. Data was collected through a tweet crawling process containing the keyword "GoPay" within a specific period. The research stages included data preprocessing (case folding, tokenizing, filtering, and stemming), sentiment labeling (positive, negative), word weighting using TF-IDF, and classification using the Naive Bayes algorithm. The results showed that from a total of 1,431 analyzed tweets, 797 data contained positive sentiments, and 643 data contained negative sentiments. With a classification accuracy rate reaching 82.94%. The most frequently positively commented factors included ease of use and offered promotions, while the main complaints were related to technical issues and customer service. This research provides insights for GoPay developers to improve services according to user feedback.  

Anime has become a significant global phenomenon, including in Indonesia, where this culture has influenced various aspects of society. This article explores the impact of anime visual style in YouTube advertisements in Indonesia. The influence of anime on Indonesian society is also evident in the consumption trends of products related to Japanese culture. The involvement of Indonesian society with anime has also encouraged the emergence of various businesses and products that capitalize on the popularity of this culture. This study focuses on exploring the impact of anime visual style on consumer responses in the context of advertising through YouTube social media in Indonesia. The researcher will analyze how the use of anime elements in advertisements can influence consumer perceptions, whether through nostalgia, enjoyment, or aesthetic aspects, as well as how marketing strategies can be adjusted to maximize this effect. The research method uses content analysis of social media comments as research data. Three advertising samples were selected to represent the study. The results of the analysis show that the use of anime elements in advertisements for Pop Mie, McDonald's, and Pocari Sweat successfully attracted attention and created positive responses from consumers. The high quality of the animation and the use of anime visual styles created a strong emotional appeal, even influencing consumer behavior such as product preferences and interest in brands. In conclusion, the use of anime visual styles in Pop Mie, McDonald's, and Pocari Sweat advertisements demonstrates the success of a marketing strategy that utilizes the popularity of anime to attract attention and create emotional engagement. and influencing consumer behavior in Indonesia, as well as opening opportunities for more local anime production and strengthening positive brand image. This advertisement is not only an effective marketing tool, but also opens up opportunities for more local anime production and supports a positive brand image.

This study discusses the communication strategy implemented by the Karanganyar Police Public Relations Department in delivering an anti-hoax campaign during the 2024 Regional Head Election (Pilkada) through the Instagram platform. The background of this study departs from the phenomenon of the rampant spread of false information ahead of the election, which has the potential to trigger disinformation, polarization, and disrupt social order and stability. Hoaxes during political periods can erode public trust in state institutions, so strategic efforts are needed to address this through effective public communication. The purpose of this study is to analyze the effectiveness of the digital communication strategy used by the Karanganyar Police Public Relations Department in increasing public literacy, encouraging public participation, and maintaining the quality and stability of information circulating in the digital space. This study uses a descriptive qualitative method with data collection techniques through in-depth interviews with Public Relations personnel, direct observation of campaign activities on Instagram, and documentation of published content. The strategy analysis refers to the Cutlip, Center, and Broom model which includes four stages: fact-collecting, planning, implementing communication actions, and evaluation. The results show that the use of Instagram was chosen because of its ability to reach a young audience, the flexibility of content formats, and opportunities for two-way interaction. The campaign content was dominated by educational materials presented visually through infographics, digital posters, and short videos, ensuring the anti-hoax message was clearly and persuasively conveyed and easily shared by users. Evaluations showed an increase in public engagement, including comments, content sharing, and participation in online discussions, as well as a significant decrease in the number of hoax reports circulating in the Karanganyar region during the campaign period. This study recommends optimizing the use of Instagram features such as live broadcasts, reels, and interactions through polls or quizzes, along with increasing the creativity of the Public Relations team to further enhance the effectiveness of digital public communication in the future.

This study aims to: (1) produce e-LKPD based on problem-based learning oriented to mathematical problem-solving ability and self-confidence of high school students on the material of equations and quadratic functions and (2) describe the feasibility of PBL-based e-LKPD oriented to mathematical problem- solving ability and self-confidence of high school students on the material of equations and quadratic functions seen from the aspects of validity,  practicality, and effectiveness. This type of research is research and development using the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). The research was conducted at SMA Negeri 1 Malinau with the research subject of class X-3 students totaling 35 students. Data collection was carried out using interview techniques, observation, e-LKPD validation sheets, pretest-posttest, and questionnaires. To determine the validity, the e-LKPD assessment sheet of material and media experts was used, practicality used student and teacher response questionnaires, and effectiveness used mathematics problem solving ability test questions and student self-confidence questionnaires. Data analysis consisted of qualitative data analysis and quantitative data analysis. Qualitative data analysis was conducted by analyzing the results of interviews, observations, and comments or suggestions given to make improvements to the e-LKPD products developed. Quantitative data analysis was conducted by converting quantitative data into qualitative data in the form of certain categories, normality test using shapiro-wilk, t-test with paired samples test, and N-Gain score. The results showed: (1) PBL-based e-LKPDs oriented towards mathematical problem solving skills and self-confidence of high school students on the material of quadratic equations and functions have been produced, (2) PBL-based e-LKPDs developed meet product feasibility, namely valid with excellent categories based on material and media experts; practical with very practical categories based on teacher responses and practical based on student responses; effective on math problem solving skills with classical completeness of 77%, the t-test results obtained a significance value of 0.000 <0.05 which means that there is a difference in the average ability to solve mathematical problems before and after learning using e-LKPD, the N-Gain result is 0.65 with moderate criteria, and effective on student self-confidence with an increase in the average score of each indicator before and after learning,  the N-Gain result is 0.49 with moderate criteria, and the t-test results with a significance value of 0.000 < 0.05.