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Social media X (Twitter) has become the main platform for the Indonesian public to express opinions, including on the trend of 'kabur aja dulu' (let's just run away for a bit). This research aims to classify the sentiments of the public using the Naïve Bayes and Support Vector Machine (SVM) methods, and to compare the accuracy of both in sentiment analysis. Data was collected via the Twitter API with the hashtag #kaburajadulu, resulting in 2,067 tweets, which, after the cleansing process and manual labeling, left 385 data points. The analysis process followed the CRISP-DM stages, which include business understanding, data understanding, data preparation, modeling, evaluation, and deployment. Model evaluation was conducted using a confusion matrix with accuracy, precision, and recall metrics. The classification results show that 82% of tweets have a positive sentiment and 18% negative. The Naïve Bayes algorithm achieved an accuracy of 86.49%, slightly lower than SVM, which reached 88.05%. In conclusion, Support Vector Machine is more effective in sentiment classification on public opinion data. This research contributes to the digital mapping of public opinion and recommends the development of automatic labeling methods as well as the exploration of advanced algorithms in the future.

The rise of social media has created a digital public sphere that enables users to express their opinions on social and political issues openly and in real-time. One of the most discussed topics on social media platform X is the trending hashtag #IndonesiaGelap, which reflects public concern and criticism regarding various governmental and societal conditions. This study aims to conduct sentiment analysis on tweets containing the hashtag to determine the overall sentiment trend among users. The method employed in this research is the Naive Bayes classification algorithm, known for its simplicity and effectiveness in text classification. To enhance the model’s performance, Particle Swarm Optimization (PSO) is applied to optimize feature selection and parameter tuning. The dataset consists of public tweets collected via the Twitter API, followed by preprocessing, feature extraction using TF-IDF, and sentiment classification into three categories: positive, negative, and neutral. The results indicate that the integration of PSO significantly improves the classification accuracy of the Naive Bayes model compared to the baseline. The majority of tweets related to #IndonesiaGelap exhibit a negative sentiment, indicating widespread public dissatisfaction and criticism. This research is expected to contribute to a better understanding of public perception and serve as valuable input for stakeholders in addressing social issues in the digital age.

Computers in one of the network companies at PT. Estrada uses the Fortinet operating system. The final result expected through this implementation is to comprehensively see the capabilities of the firewall on Fortinet in overcoming the problem of blocking social media applications and streaming platforms during working hours. Blocking the application in question is the ability to filter web processes such as Facebook, Instagram, YouTube, etc. In the tests carried out, web filtering was able to block applications on social media and streaming platforms, which proves that the performance of web filtering is quite good. In analyzing web filtering performance, use the office hour rule tool by carrying out the rule schedule in the Fortinet network and displaying all the information in detail. The final result obtained in the network application filtering simulation process using Fortinet is that every network sent cannot be entered (blocked) on both social media applications and streaming platforms.

To address the negative impacts of teenage romantic relationships on peer dynamics and academic achievement at SMP Negeri 5 Sipahutar, school authorities implemented a regulation prohibiting dating, in line with Pancasila character education principles. This study aimed to evaluate the influence of this policy on fostering positive social behavior among ninth-grade students. The research employed a quantitative descriptive approach and involved 81 students as respondents. Data were collected using a four-level multiple-choice agreement questionnaire consisting of ten items. The analysis results showed a total score of 2707, a mean score of 33.42, a standard deviation of 4.8, and an average scale score of 3.34. The findings revealed that 78.2% of students agreed that the regulation encouraged peer cooperation, improved discipline in obeying school rules, and supported effective group learning. In addition, the policy appeared to contribute to a more positive school environment by reducing distractions associated with adolescent dating behavior. These findings indicate that school-based regulations can play an important role in shaping adolescent character and social behavior based on national values. Therefore, such policies may serve as an effective preventive strategy for educational institutions that aim to strengthen character education and promote responsible student conduct.

The rapid growth of digital technology and social media has reshaped communication practices, consumer behavior, and marketing approaches, particularly among Generation Z, who are widely recognized as digital natives. For this generation, social media serves as a major channel for obtaining information and exploring product references before making purchase decisions. In this environment, influencer marketing has emerged as a prominent promotional approach because it can foster audience interaction, emotional connection, and trust more effectively than conventional advertising. This study examines the role of influencer marketing in shaping the digital behavior of Generation Z in Indonesia. A qualitative literature review method was employed by analyzing secondary sources drawn from academic journals, books, and related publications. The findings indicate that influencer marketing has a meaningful influence on information-seeking behavior, decision-making processes, and the level of digital engagement among Generation Z. Influencers are commonly viewed as more credible, relatable, and authentic sources of information. Furthermore, the effectiveness of influencer marketing is determined more by credibility, authenticity, and the quality of interaction than by follower count alone. These findings suggest that companies should adopt digital marketing strategies that are more interactive, personalized, and relationship-oriented in order to engage Generation Z more effectively.

This study aims to analyze the phenomenon of flexing on social media as a representation of social status in digital society through the perspectives of Jean Baudrillard’s simulacra theory and Erving Goffman’s self-presentation theory. The research employs a qualitative method using content analysis of social media posts, particularly on Instagram and TikTok, that display flexing practices. The research data consist of photos and videos containing symbols of luxury, such as branded goods, luxury vehicles, exclusive locations, and consumptive lifestyles. The findings reveal that flexing is not merely an act of showing off, but also a conscious self-representation strategy used to construct a particular social image. The luxury symbols displayed often do not fully reflect reality, but rather represent identity constructions that have been selectively curated and manipulated according to the desired image. From the perspective of simulacra, these representations have replaced reality itself, causing the boundary between reality and representation to become increasingly blurred. Furthermore, the phenomenon of flexing is closely related to consumer culture, the need for social recognition, and personal branding strategies in the digital era. Exposure to flexing content also encourages social comparison, which may lead to psychological pressure among audiences. Therefore, flexing can be understood as a multidimensional phenomenon reflecting changes in how individuals construct identity, perceive reality, and gain social legitimacy within digital society.

The rapid digitalization in Indonesia, reaching 180 million active social media users, has not been accompanied by adequate security system resilience, thereby triggering massive data breach risks. This study aims to analyze the privacy navigation mechanisms of the digital society as an instrument for mitigating information leaks. The method used is descriptive qualitative with a literature study (library research) approach, which examines primary and secondary literature related to regulations, digital behavior, and user psychological factors. The research findings indicate that privacy navigation in the digital era has not operated optimally due to the dominance of social existence needs, which triggers the privacy paradox phenomenon. Although users possess knowledge regarding cyber risks, the desire for social validation through self-disclosure often overrides technical protection logic. The practice of using secondary accounts (second accounts) was found to be a form of manual navigation, yet its effectiveness remains dependent on individual digital literacy. The implications of this research emphasize that mitigating information leaks requires the integration of critical user awareness, platform governance transparency, and consistent law enforcement through the PDP Law. Digital awareness must transform into reflexive protective behavior to maintain informational sovereignty in cyberspace.  

The development of social media has brought significant changes in how individuals perceive themselves, especially among female university students who are in the stage of identity formation. Social media is not only used as a communication tool but also as a space that presents homogeneous beauty standards which can influence self-perception. This study aims to analyze the construction of beauty standards on social media and their impact on female students’ self-perception. The research uses a qualitative approach with a literature review method by analyzing 20  relevant academic articles published between 2020 and 2025. Data analysis was conducted using descriptive qualitative techniques, including data reduction, data presentation, and conclusion drawing. The results show that beauty standards on social media are constructed through repeated visual representations and reinforced by algorithmic systems, creating an idealized image of beauty. This condition encourages female students to engage in social comparison, leading to self-dissatisfaction and decreased self-confidence. However, these effects vary depending on individuals’ ability to filter and interpret information. This study highlights the importance of developing critical awareness in social media use to avoid being influenced by unrealistic beauty standards.

Social media has evolved into a significant platform where consumers freely express their opinions, experiences, and levels of satisfaction regarding various products, including those offered by Micro, Small, and Medium Enterprises (MSMEs). The comments and reviews shared by customers on these platforms contain diverse sentiments that can serve as valuable indicators of how consumers perceive product quality. Understanding these sentiments is crucial for MSME owners, as it allows them to evaluate their products and adapt to market expectations more effectively. This study aims to analyze customer sentiment toward MSME products on social media by utilizing the Naïve Bayes algorithm, a widely used classification method in text mining. The data used in this research consist of customer comments collected from various social media platforms. The research process involves several stages, including data collection, manual labeling of sentiments, text preprocessing (such as tokenization, case folding, and stopword removal), and splitting the dataset into training and testing subsets. Subsequently, the classification process is carried out using the Naïve Bayes algorithm to categorize sentiments into positive, negative, and neutral classes. The results of this study demonstrate that the Naïve Bayes method is effective in classifying customer sentiments with a satisfactory level of accuracy. These findings provide a comprehensive overview of consumer perceptions regarding the quality of MSME products. Furthermore, this research is expected to assist MSME business owners in understanding customer feedback more systematically and using it as a basis for improving product quality and enhancing customer satisfaction in a competitive digital marketplace.

This study aims to describe the dynamics of students’ social relationships using sociometric techniques within the context of guidance and counseling services. Social relationships are an essential aspect of individual development, particularly for guidance and counseling students who are expected to possess strong interpersonal skills as future counselors. This research employed a descriptive quantitative approach using a sociometric questionnaire covering aspects of collaborative learning, group work, understanding difficult materials, and emotional support. The participants consisted of 21 students from the Guidance and Counseling study program, selected using a total sampling technique. The data were analyzed using frequency distribution of peer selection and presented in the form of a sociometric matrix and sociogram to facilitate the interpretation of social interaction patterns within the group. The findings revealed that social relationships were not evenly distributed but tended to be concentrated on certain individuals. Some students demonstrated high levels of selection, indicating their role as central figures in both academic and emotional interactions, while others showed low levels of selection, suggesting potential social isolation. These findings indicate that group dynamics are influenced by social skills, academic competence, and individual empathy. Therefore, guidance and counseling services play a crucial role in improving the quality of students’ social interactions through appropriate interventions, such as group guidance and social skills training. This study is expected to serve as a foundation for developing more effective and inclusive guidance and counseling services.

This study examines the reproduction of social inequality in education through the theoretical framework of Pierre Bourdieu within a critical sociology perspective. The background of this research is rooted in the persistent gap in educational access, participation, and achievement among students from different social classes, which indicates that education does not always function as a tool for social mobility. The objective of this study is to analyze how mechanisms such as habitus, cultural capital, social capital, and the educational field contribute to sustaining inequality. This research employs a qualitative descriptive approach, with data collected through in-depth interviews, observations, and document analysis within an educational setting characterized by diverse socio-economic backgrounds. The findings reveal that students from higher socio-economic backgrounds tend to possess dominant cultural capital and habitus that align with institutional expectations, giving them a significant advantage in academic achievement. Conversely, students from lower socio-economic backgrounds face structural and symbolic barriers that limit their opportunities. The study also finds that educational practices, including teaching methods and evaluation systems, implicitly favor certain groups, thereby reinforcing inequality. The implications of this research highlight the need for more inclusive educational policies and practices that recognize diverse forms of capital and promote equal opportunities for all students. Ultimately, this study contributes to a deeper understanding of how education functions as a site of social reproduction rather than merely a neutral institution.  

This study aims to analyze the level of student satisfaction in paying tuition fees (UKT) through the BRImo application at Universitas Negeri Gorontalo. The research applies the service quality (SERVQUAL) framework, which consists of five dimensions: tangibles, reliability, responsiveness, assurance, and empathy. A qualitative descriptive approach was employed, with data collected through in-depth interviews, direct observations, and documentation. Participants included students who actively use the BRImo application for UKT payments as well as staff responsible for tuition management. Data analysis followed a systematic process involving data reduction, data display, and drawing conclusions to ensure accuracy and clarity of findings. The results indicate that using the BRImo application for tuition payment offers significant convenience and efficiency, allowing students to complete transactions without physically visiting the university payment office. Despite these benefits, several challenges were identified, including failed transactions, delays in payment confirmation, and suboptimal responses from customer service staff. Overall, the study concludes that student satisfaction with tuition payments via BRImo is considered fairly good. Nevertheless, improvements in reliability and responsiveness are recommended to further enhance the user experience and optimize the quality of service provided.  

The development of digital technology has significantly changed the way students interact and present themselves in social life, especially through social media such as Instagram, TikTok, and Twitter. One of the emerging social phenomena is flexing, which refers to the behavior of showing off lifestyle, achievements, or ownership to gain attention and social recognition. This study aims to analyze how Sociology students of Sriwijaya University interpret flexing on social media and whether flexing is more dominant as a lifestyle or as a form of social pressure. This research uses a qualitative method with a literature review approach by examining various scientific articles, journals, and previous studies related to flexing, self-presentation, symbolic consumption, social validation, and Fear of Missing Out (FoMO). The results show that flexing is not only a form of self-presentation and symbolic consumption, but also a response to social pressure in the digital environment.

This study aims to analyze the influence of parenting styles on the development of social skills in early adolescence. The method used was a literature review. Researchers reviewed and synthesized the results of relevant previous studies, sourced from scientific journals and credible digital databases. The analysis results show a consistent relationship between the type of parenting style and the quality of social skills. Democratic parenting has been shown to make a significant positive contribution to communication skills, empathy, cooperation, emotional control, and adjustment in social environments. Adolescents raised with this parenting style tend to have better self-confidence and are able to build healthy social interactions at school and in the community. Conversely, authoritarian and permissive parenting styles tend to have less beneficial impacts. This is characterized by the emergence of social anxiety, low initiative, difficulty adhering to social norms, and limitations in establishing interpersonal relationships. These findings emphasize the crucial role of parents in shaping the social competence of early adolescents. The study concludes that implementing a balanced, consistent, and communicative parenting style is a key factor in supporting the development of social skills. Collaboration between the family and the educational environment needs to be strengthened.

This study examines the lexical and grammatical meanings of news headlines from the November 2025 edition of detik.com, posted on Instagram. The shift from a news site to a social media platform often necessitates adjustments to headlines, which can lead to shifts in meaning. To collect relevant headlines, this study employed a qualitative descriptive method with a listening and note-taking technique. The analysis shows that lexical meaning in headlines is evident through the use of words with basic dictionary meanings, such as names of people, places, objects, and actions. Grammatical meaning is discovered through affixation and reduplication, which can change or add to the meaning of basic words according to the context. These two types of meaning play a crucial role in creating concise, clear headlines that are appropriate for the way news is presented on Instagram. This study concludes that the formation of meaning in headlines on detik.com is influenced by a combination of lexical and grammatical meanings tailored to the communication needs of social media platforms.

This article aims to reconstruct legal awareness and social justice in the context of a contemporary rule of law through the integration of economic law, digital law, civil law, criminal law, and constitutional law within the framework of citizenship rights and Islamic Sociological Jurisprudence Theory. The main problem of this research stems from the fact that the development of the modern legal system tends to be sectoral, formalistic, and not fully responsive to social change, unequal access to justice, and digital transformation that affects the relationship between citizens and the law. This research uses a normative legal research method with a conceptual, legislative, and sociological approach. The results of the study indicate that legal awareness is not simply understood as formal compliance with norms, but must be developed as a substantive awareness oriented towards social justice, protection of citizenship rights, and public welfare. From the perspective of Islamic Sociological Jurisprudence, law is positioned not only as a regulatory instrument, but also as a means of social transformation based on the values ​​of justice, moral responsibility, and siding with the interests of society. Integration across legal branches is crucial for the legal system to more comprehensively address issues related to economics, digitalization, civil relations, criminal enforcement, and state governance. Therefore, the reconstruction of legal awareness must be directed toward establishing a legal paradigm that is integrative, humanistic, adaptive, and socially just.

This study is motivated by the importance of maintaining consumer satisfaction amidst increasingly fierce competition in the culinary business, where Warteg Bunana faces challenges in the form of a decline in the number of customers over the past two years. The objective of this research is to determine and analyze the influence of social media promotion, location, and perceived value on consumer satisfaction at Warteg Bunana in Batam City. The research method used is a quantitative approach with a survey method through the distribution of questionnaires to 100 respondents selected using simple random sampling techniques. Data were analyzed using multiple linear regression analysis via SPSS software. The findings indicate that simultaneously, social media promotion, location, and perceived value have a significant effect on consumer satisfaction with an F value of 21,940 and a significance value of 0.000 < 0.05. Partially, all three variables also have a significant influence on consumer satisfaction. The coefficient of determination (R Square) of 0.407 shows that these variables explain 40.7% of consumer satisfaction. The implications of this research suggest that Warteg Bunana management needs to increase social media promotion consistently and maintain location comfort and service quality to improve consumers' perceived value on a sustainable basis

This research is motivated by the reality of ethnic and cultural diversity in congregation life which reflects the dynamics of a multicultural society, where differences in cultural identity have the potential to cause social friction if not managed wisely. This research uses a descriptive qualitative approach with normative studies, with data collection techniques through interviews, observations, and documentation of informants consisting of pastors, congregation councils, and presbyters. The theory used is Ralph Linton's role theory which explains how individuals carry out social functions according to their status in society. The results of the study indicate that the life of the GMIT Sion Oepura congregation is characterized by multicultural dynamics as seen from the diversity of ethnicities such as Timor, Rote, Sabu, Flores, and Alor which not only enriches church life through cultural expressions in worship and church activities, but also gives rise to symbolic friction between ethnic groups, such as the tendency for the dominance of certain cultural symbols and the emergence of group ego attitudes in several worship activities, for example in the celebration of Language and Culture Month. In this situation, religious leaders play a role as leaders who embrace diversity, mediators in managing potential conflicts, and social and moral role models for the congregation through sermons, pastoral guidance, and various service activities that involve the entire congregation without differentiating cultural backgrounds. Despite the existence of cultural differences and the tendency for certain symbolic dominance, religious leaders are able to manage this diversity normatively so that it does not develop into open conflict. This study concludes that the role of religious leaders is very important in strengthening social solidarity and maintaining harmony in multicultural congregations.

This research is motivated by the complex problems of street children, vagrants, and beggars in Jambi City, which are influenced by poverty, urbanization, and weak social protection. This phenomenon not only impacts public order but also reflects the suboptimal social welfare system at the regional level. Although local governments have implemented various policies through social order and rehabilitation approaches, their effectiveness still faces various structural and cultural challenges. This study uses Bryson's Policy Implementation Mapping theoretical framework, which includes indicators of interests, resources, channels, potential participation, level of influence, implications, and actions as the main analysis. The research approach used is a qualitative case study design to understand the dynamics of policy implementation in depth. Data collection techniques were carried out through in-depth interviews, participant observation, and documentation, with informants selected using purposive sampling until data saturation was achieved. The results show that policy implementation mapping has been carried out through collaboration between the Social Service and the Public Order Agency (Satpol PP) with a structured preventive, repressive, and rehabilitative approach. However, implementation has not been optimal due to limited rehabilitation facilities, lack of coordination between agencies, low community participation, and high mobility of beggars from outside the region. Furthermore, there is a gap between high administrative achievements and the reality on the ground, which still shows a high rate of returning to the streets. This study concludes that mapping policy implementation requires a more holistic, sustainable approach based on economic empowerment and strengthened cross-sectoral coordination to address this social issue more effectively and effectively.

This study describes Islamic public and social finance: the role and mechanisms of government oversight of economic activities from an Islamic perspective. The purpose of this study is to explain Islamic public and social finance: the role and mechanisms of government oversight of economic activities from an Islamic perspective. The research method is qualitative. Data analysis was conducted using thematic analysis techniques through the stages of data reduction, data presentation, and drawing conclusions. This research finds that the government's role from an Islamic public and social finance perspective is not only as a regulator but also as an active supervisor, ensuring that economic activities are run in accordance with Sharia principles. Supervisory mechanisms are implemented through the institution of hisbah (Islamic tax), Sharia-based regulations, and a system of public financial accountability and transparency. Furthermore, Islamic social finance instruments such as zakat (alms), infaq (donations), sedekah (charity), and waqf (endowments) have been proven to play a role in equitable wealth distribution and reducing social inequality. This supervisory concept remains relevant in the modern economic context, including the digital sector and Sharia finance. The implications of this research suggest that the government needs to strengthen the implementation of Islamic-based supervision in the modern economic system by strengthening Sharia financial institutions, optimizing the management of Islamic social funds, and enhancing transparent and accountable regulations. Furthermore, adaptation of Islamic supervisory mechanisms is necessary to address the development of the digital economy. This research also implies the importance of increasing Sharia economic literacy among the public to support the creation of a more sustainable and equitable economic system.