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The presence of Generation Z, who grew up entirely in the digital era, has triggered a fundamental transformation in Muslim religious practices, where social media has replaced conventional religious institutions as the primary source of religious information. This condition creates a paradox: Gen Z has become a generation that is highly religious online, yet is often disconnected from physical communities and traditional religious authorities. This study aims to analyze the character of Muslim Gen Z religiosity, identify its forming factors, and examine the impact of the digital era on their religiosity. This study employed a descriptive qualitative approach using a library research method. The findings indicate that Muslim Gen Z religiosity is characterized by personalization, flexibility, and digital spirituality, strongly influenced by social media. These characteristics are shaped by massive digital technology accessibility, the effectiveness of contextual Islamic preaching on platforms such as TikTok, as well as spiritual needs and social pressure from the digital environment. The digital era brings positive impacts in the form of increased accessibility and religious literacy, but also negative impacts including shallow religious understanding, vulnerability to information bias, and potential exposure to extreme ideologies. This study implies the importance of an integrated digital religious literacy strategy through critical thinking-based Islamic Religious Education curriculum reform, enhancement of educators' digital capacity, and cross-sector collaboration to strengthen Gen Z's moderate and reflective religious understanding.

This study aims to analyze public sentiment toward the hashtag #KaburAjaDulu, which has circulated widely on the social media platform X (formerly Twitter). The hashtag reflects the growing anxiety among the public, especially younger generations, regarding socio-political issues in Indonesia. The data were collected using web scraping techniques, focusing on user-generated tweets that contain the hashtag. A comprehensive text preprocessing phase was conducted to clean the raw data by removing irrelevant elements such as URLs, emojis, numbers, and punctuation. The research applies a hybrid classification approach using a combination of Support Vector Machine (SVM) and Random Forest algorithms to categorize sentiment into three classes: positive, negative, and neutral. The performance of the model was evaluated using metrics such as accuracy, precision, recall, and F1-score to determine the effectiveness of the classification. The study aims to demonstrate that combining algorithms can improve classification performance compared to using a single algorithm. This research contributes to the field of sentiment analysis and provides valuable insights for researchers, policymakers, and social observers in understanding public opinion trends in digital media.

The development of social media, especially TWITTER, has become one of the main means for people to express opinions and criticism on various issues, including the performance of law in Indonesia. This study aims to analyze public sentiment towards the performance of law based on TWITTER user comments using the Naïve Bayes algorithm. The research data consists of 1004 comments collected from several videos related to legal topics. The analysis process includes the stages of data crawling, pre- processing (text cleaning, normalization, and tokenization), labeling sentiment into positive, negative, and neutral, and testing the Naïve Bayes model. The results show that the Naïve Bayes algorithm is able to classify sentiment with an accuracy level of 93.73%. The distribution of sentiment from 1004 comments shows that the majority of public opinion is (negative/positive/neutral), which indicates that public perception of the performance of law is still (critical/positive). These findings are expected to be input for related parties to understand public opinion and improve the quality of legal performance in

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.

QRIS (Quick Response Code Indonesian Standard) has become a widely used national digital payment standard. User satisfaction with this service needs to be monitored continuously to ensure its sustainability. This study aims to predict the level of QRIS user satisfaction based on their experiences and perceptions expressed organically on the Twitter social media platform. The method used is sentiment analysis with the Naive Bayes classification algorithm implemented using RapidMiner software. The research data was obtained from Twitter user comments collected through web scraping techniques. The text data then went through a preprocessing stage that included cleansing, stopword filtering, stemming, and tokenizing to be prepared as features ready to be processed by the model. The data was divided into training (80%) and testing (20%) subsets for model training and validation. The results showed that the Naive Bayes model was able to predict user satisfaction sentiment with an accuracy of 80.99%. These findings indicate that the model is highly accurate in identifying satisfied comments and sufficiently sensitive in detecting dissatisfaction. This study concludes that sentiment analysis of Twitter UGC data using Naive Bayes is an effective and efficient approach for predicting QRIS user satisfaction in real time. The practical implication of this study is to provide an automatic feedback system for service providers to monitor public sentiment and take targeted corrective actions.

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.

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.

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 swift proliferation of short-video-centric social media, notably TikTok, has revolutionized the educational landscape by facilitating novel methods of knowledge production, dissemination, and interpretation. This phenomenon denotes a transition in media and signifies an epistemological transformation in educational practices within the digital age. This study seeks to analyze the representation and interpretation of knowledge in TikTok educational content using a qualitative methodology grounded in an interpretive case study framework. Data were gathered via digital participant observation, comprehensive interviews, and document analysis involving 12 participants, comprising educational content creators and active TikTok users in higher education settings. Thematic data analysis was performed utilizing a Multimodal Critical Discourse Analysis framework to elucidate the interplay among visual, verbal, and auditory components in the construction of meaning. The results show three main patterns: the conflict between quick understanding and deep knowledge, the importance of emotional multimodal experiences in learning, and the negotiation of knowledge authority in changing digital spaces. These results indicate that learning via TikTok encompasses not only cognitive aspects but also intricate emotional, aesthetic, and social dimensions. This study theoretically enhances multimodal discourse analysis by integrating users' subjective experiences, while practically informing the advancement of critical digital literacy and the design of social media-based learning. Moreover, this study facilitates additional investigation into algorithmic dynamics, digital identity, and the evolution of learning methodologies within platform-centric contexts.

The rapid transformation of education driven by globalization and technological advancement demands adaptive learning approaches that align with the characteristics of Generation Z learners. This generation is known for its curiosity, independence in thinking, and openness to diverse perspectives, yet it is also vulnerable to misinformation and negative online influences. Within the context of Islamic education, learning is not solely oriented toward cognitive development but also emphasizes the cultivation of moral values, particularly tolerance. This study aims to explore how contextual teaching methods can contribute to fostering tolerant attitudes among Generation Z students in Islamic educational settings. The research employs a qualitative approach through library research, utilizing a descriptive-analytical framework. Data were collected from various sources, including academic journals, books, and previous studies related to contextual learning, multicultural education, and Generation Z characteristics. The data collection technique involved document analysis, followed by content analysis procedures such as data reduction, categorization, and conclusion drawing. The findings indicate that contextual learning effectively promotes tolerance by engaging students in discussion, problem-solving, reflection, and real-life experiences. The integration of multicultural values and the role of teachers as facilitators and role models further strengthen this process. However, challenges remain, including limited teacher understanding, the persistence of conventional methods, inadequate supporting facilities, and the influence of social media. Overall, contextual learning presents a relevant strategy for developing open-minded, balanced, and socially adaptive Generation Z learners.

This study aims to analyze the marketing strategy implemented by Catering Lapak Ning Icha to increase consumer purchase intention. The background of this research is the intense competition in the culinary MSME sector, particularly catering services, which demands effective and sustainable marketing strategies. A qualitative approach with a case study design was employed. Data were collected through in-depth interviews, observations, and documentation involving the business owner (represented by the operator), employees, and consumers. Data analysis was conducted using the Miles and Huberman model, consisting of data reduction, data display, and conclusion drawing. The findings reveal that the marketing strategy based on the 7P marketing mix (Product, Price, Place, Promotion, People, Process, and Physical Evidence) plays a significant role in increasing consumer purchase intention. In terms of product, the catering maintains taste quality, cleanliness, and menu variety. Pricing is set affordably and competitively. Easy location access and accurate ordering and distribution processes support the place and process aspects. Promotion is carried out organically through social media and word of mouth. Additionally, friendly and professional employee service, as well as physical evidence such as a clean business environment and neat packaging, contribute to positive consumer perceptions. The implications of this study suggest that consistent and integrated marketing strategies aligned with consumer needs can effectively enhance purchase intention and customer loyalty. This research serves as a reference for culinary MSME actors in designing effective and sustainable marketing strategies.

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 analyze the influence of copywriting, visual marketing promotion, and community management on the success of local brand campaigns in Bandar Lampung through the Facebook Pro platform. The research is based on the increasing use of social media as a digital marketing tool by local brands in the fashion and culinary sectors; however, campaign outcomes remain inconsistent. This study employs a quantitative approach using a survey method by distributing questionnaires to business owners and administrators of Facebook Pro accounts of local brands in Bandar Lampung. Multiple linear regression analysis is used to examine both partial and simultaneous effects among variables. The findings indicate that copywriting, visual marketing promotion, and community management have significant partial and simultaneous effects on the success of local brand campaigns. These results confirm that the integration of persuasive messaging, high-quality visual content, and active community engagement plays a crucial role in enhancing engagement, visibility, and overall digital campaign effectiveness. This study provides practical implications for SMEs in optimizing marketing strategies through Facebook Pro and contributes academically to the development of integrated marketing communication studies in social media contexts.

This study aims to analyze public relations strategies in the implementation of the Mental Revolution Program through Instagram at the Coordinating Ministry for Human Development and Cultural Affairs of the Republic of Indonesia. The Mental Revolution represents an effort to transform public mindsets, attitudes, and behaviors based on the values of integrity, work ethic, and mutual cooperation in order to build a progressive and competitive nation. This research employs a descriptive qualitative approach with a case study method. Data were collected through observation, in-depth interviews, documentation, and triangulation to ensure comprehensive findings. The results indicate that the implemented public relations strategies have optimally utilized social media as a means of public communication, particularly in reaching younger audiences. These strategies include the development of positive content, cross-sector collaboration, and the use of media relations to expand information dissemination. The SWOT analysis reveals that the main strengths lie in effective team coordination, structured communication strategies, and a strong organizational culture, while weaknesses include limited human resources and insufficient technological support. Opportunities arise from extensive networks with various institutions and media, whereas threats stem from public perceptions and limited communication competencies. In practice, the Mental Revolution Program is implemented participatively through various initiatives such as Indonesia Serving, Clean, Orderly, Independent, and United, which are disseminated via Instagram. However, its implementation has not been evenly distributed across regions and has only reached approximately 70%, due to budget constraints and varying levels of commitment among local governments. Therefore, the success of this program largely depends on synergy among stakeholders and consistency in internalizing transformative values within society.

The rapid advancement of information technology has reshaped modern society, in particular influencing how young individuals express their identities through fashion. The choice of clothing goes beyond mere practical functions, becoming a symbol of social status and values as young people attempt to adapt to rapidly changing trends, driven largely by digital platforms such as social media. These phenomena have simultaneously led to alarming waste production and environmental degradation, reflecting the mismatch between modern lifestyles and theological mandates on the management of creation. The fast-paced fashion industry, characterized by rapid production cycles and high consumerism, exacerbates the ecological crisis by generating large amounts of textile waste and contributing to detrimental practices in global supply chains. The study uses a qualitative approach, emphasizing literature research to analyze relevant literature and synthesize findings into meaningful discourse. Ultimately, it advocates a transformative catechesis that integrates ecological awareness into the formation of young people's faith, leveraging digital spaces to advocate for simplicity and community engagement in sustainable practices. The challenges faced in fostering this ecological awareness include the prevalence of a culture of instant gratification and the gap between knowledge and action, which hinders the alignment of belief with action. Theological reflection further emphasizes the spiritual implications of consumer behavior, placing ecological responsibility as a fundamental aspect of authentic expression of faith. Based on these insights, this paper underscores the importance for the Church to be proactively involved in the fight for ecological preservation, recognizing that true faith is manifested through tangible actions that honor the divine creation.

Advances in digital technology have transformed the paradigm of faith proclamation, requiring the Church to optimize social media as a relevant catechetical instrument. This study aims to examine how the use of the TikTok platform can be optimized as an effective means of creative catechesis in connecting complex faith teachings for people in the digital era. The research method used is descriptive qualitative with a literature study technique, where data is collected from various scientific literature, Church documents, and relevant library sources. The research findings indicate that TikTok is an effective digital space for catechesis because it is supported by attractive audio-visual features, interactive features such as stitches and comments that enable two-way dialogue, and an algorithmic system that expands the reach of proclamation. The strategy of catechesis through short videos has proven to be able to change the perception of faith teaching that has become rigid to a more personal spiritual experience that is easily understood by all levels of society, especially the younger generation. The implications of this study emphasize the need for the Church to consistently adapt to digital culture and increase content creativity to ensure the continuity of inclusive evangelization amidst the dynamics of modern developments.

The phenomenon of growth in Indonesia’s beauty industry has intensified competition among both global and local skincare brands, including Avoskin. This situation impacts consumer trust Instagram. Avoskin must compete to build brand trust amid the higher exposure and engagement dominance of global brands on social media. Challenges such as the presence of negative reviews and unfavorable consumer perceptions that lead to dissatisfaction represent significant threats to Avoskin’s ability to sustain brand trust. This study aims to determine the influence of electronic word of mouth and brand image of @avoskinbeauty toward brand trust. The research adopts a quantitative approach using the simple random sampling method, involving 400 active Instagram users as respondents. Data were collected through Google Forms and analyzed using IBM SPSS Statistics 30.. The T - test results show that Avoskin’s electronic word of mouth on Instagram has a positive and significant effect on brand trust, with a tcount greater than the ttable value (8.335 > 1.965) and significance < 0.001 < 0.05. Similarly, Avoskin’s brand image also has a positive and significant impact on brand trust, with a tcount greater than the ttable value (22.462 > 1.965) and significance < 0.001 < 0.05. The F - test results indicate that electronic word of mouth and brand image simultaneously have a significant effect on brand trust, with an Fcount greater than the Ftable value (870.240 > 3.02) and significance < 0.001 < 0.05. In conclusion, electronic word of mouth and brand image play essential roles in enhancing brand trust. The implication of this study is that skincare companies should continuously strengthen their digital presence, consistently manage their brand image, and actively facilitate and respond to electronic word of mouth, especially on social media platforms.

Waqf is one of the instruments of Islamic economics that holds great potential for improving community welfare and promoting sustainable socioeconomic development. However, this potential has not been fully realized due to low public participation in waqf. This situation indicates that messages and education regarding waqf have not been effectively communicated to the general public. This study aims to analyze how the distribution, promotion, and advertising of waqf messages are conducted to the public through a case study of the Indonesian Waqf Board in South Tangerang City. The method used is a descriptive qualitative approach with a constructivist paradigm. Data collection was conducted through interviews, observations, documentation, and literature review to obtain a comprehensive picture of the waqf communication strategies implemented. The results of the study indicate that the distribution of waqf messages is still limited to seminars, workshops, and incidental activities, resulting in uneven information reach. Waqf promotion has also not been conducted consistently and remains conventional, while the use of digital advertising and social media has not been maximized. The main obstacles faced include low public literacy regarding waqf, a lack of professionalism among waqf administrators, and minimal public trust in waqf management. This study concludes that the development of waqf requires modern communication strategies through the digitization of messages, consistent promotion, increased institutional transparency, and intensive use of social media in order to significantly increase public participation in waqf.

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