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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

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 growth of information technology has driven changes in consumer behavior, one of which is through e-commerce platforms such as Shopee. This phenomenon has generated a large number of customer reviews, including those for local cosmetic products such as Wardah. These reviews serve as an important source of information for understanding customer perceptions and satisfaction levels. However, manual analysis of large and linguistically diverse datasets is inefficient and potentially subjective. This study aims to implement the multi-category Naive Bayes algorithm to classify the sentiment of Wardah product reviews on Shopee into three categories: positive, negative, and neutral. The data were collected using a web scraping technique and processed through a series of preprocessing stages including case folding, tokenization, stopword removal, stemming, and text cleaning. Subsequently, term weighting was performed using the TF-IDF method prior to classification. Model performance was evaluated using a confusion matrix as well as accuracy, precision, and recall metrics. The results indicate that the multi-category Naive Bayes algorithm achieved an accuracy of 86.00%, a precision of 86.63%, and a recall of 98.24%. This approach can assist business practitioners in objectively understanding customer opinions and support decision-making in business strategy and product development.

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.

This study aims to examine the influence of price and electronic word of mouth (e-WOM) on purchase decisions among Generation Z consumers in Campaka Subdistrict, Bandung City, with a specific focus on the TikTok Shop platform. This research employs a quantitative approach using a survey method by distributing questionnaires to Generation Z consumers in Campaka Subdistrict, Bandung City, with a total of 98 respondents to collect the data. The results of the study indicate that both price and electronic word of mouth have a significant positive effect on purchase decisions among Generation Z consumers in Campaka Subdistrict, Bandung City. Price is generally perceived as good, although aspects related to price suitability based on income levels and purchasing power still show some weaknesses. Similarly, e-WOM activity is considered positive; however, there are still relatively weak aspects regarding the diversity of consumer reviews, as not all respondents actively pay attention to the variation of opinions in reviews. The findings also reveal a significant influence of these variables, where the effect of price on purchase decisions reaches 35.4%, while electronic word of mouth contributes 29.5%, and the combined effect of price and electronic word of mouth on purchase decisions is 64.9%. This study concludes that improvements in price perception and e-WOM can enhance purchase decisions.

This research is grounded in the understanding that employees are the core of organizational sustainability, and their job satisfaction is shaped not only by daily tasks but also by the organization’s ability to manage workload and support balance between work demands and personal life. This study aims to analyze the effect of workload and work-life balance on employee job satisfaction at the Class I Correctional Center (Bapas) Makassar. Using a quantitative approach, data were collected through questionnaires distributed to 54 employees and analyzed using multiple linear regression assisted by SPSS Statistics 25. The research variables consist of workload and work-life balance as independent variables, and job satisfaction as the dependent variable. The findings indicate that workload has a positive and significant effect on job satisfaction, suggesting that employees’ perception of being able to complete tasks effectively can increase their comfort and confidence at work. Work-life balance also shows a positive and significant influence, indicating that the ability to manage both work responsibilities and personal life contributes directly to greater feelings of satisfaction, stability, and motivation in performing duties. Simultaneously, both variables significantly affect job satisfaction, emphasizing the importance for organizations to regulate workload proportionally while providing space for employees to maintain a healthy life balance. These findings highlight that effective workload management and support for work-life balance are crucial organizational investments to foster a healthy, productive, and employee-centered work environment.

Public Wi-Fi services (Wifi_STAKat) at the State Catholic College of Pontianak continue to face technical issues, such as network speed and connection stability, as well as non-technical challenges, including the responsiveness of administrators to user complaints. This study aims to analyze user satisfaction based on the five Servqual dimensions and to map improvement priorities using the Importance–Performance Analysis (IPA) method. The relationship between Servqual and IPA is explained by mapping GAP values (perception–expectation) into the four IPA quadrants to determine the urgency level of service improvements. A 4-point Likert scale was used to avoid neutral responses and strengthen the clarity of respondents’ perceptions. The results show that all dimensions have negative GAP scores, particularly responsiveness and reliability, which are directly related to technical indicators (speed, stability, coverage) and non-technical factors (responsiveness to complaints, ease of access. The study recommends integrating an IT-based monitoring system and increasing network capacity to improve service quality.

The rapid development of social media, particularly Twitter, has given rise to a new form of social violence known as cyberbullying. This study aims to explore the phenomenon of cyberbullying on Twitter using Ulrich Beck's Risk Society Theory as an analytical framework. The research approach used is a literature review. This study perceives cyberbullying on Twitter as a modern, systemic risk, shaped by anonymity, cancel culture, and the individualization of risk. It acknowledges that Twitter's structural features, such as pseudonymous accounts and the rapid dissemination of information, exacerbate the potential for cyberbullying, while simultaneously positioning individual users as both victims and potential perpetrators of digital violence. These findings reinforce Beck's thesis that risks in advanced modernity are self-produced, institutionally distributed, and difficult to regulate, clearly reflected in the uncontrolled spread of cyberbullying in digital public spaces.

This study aims to analyze the role of organizational communication in improving organizational performance using a systematic literature review approach with a descriptive qualitative method. The data were obtained from various relevant scientific literature sources, including national journals and academic articles discussing organizational communication and performance. The results indicate that organizational communication plays a significant role in enhancing performance through effective vertical and horizontal communication patterns, clarity of information flow, and improved work coordination. In addition, organizational communication contributes to building harmonious working relationships, increasing motivation, and strengthening organizational commitment. Leadership plays a crucial role in managing communication effectiveness within the organization. However, communication effectiveness is also influenced by supporting and inhibiting factors, such as work environment, communication skills, and differences in individual perceptions. Therefore, organizations need to manage communication strategically to achieve optimal performance. This study provides theoretical contributions to the development of organizational communication studies and practical implications for organizations in improving communication effectiveness.

The background of this research is driven by the vital importance of strengthening democratic values amidst the challenges of globalization and digitalization, which have begun to erode civic consciousness among the younger generation, particularly in the Pasir Pengaraian region. As the flow of unfiltered information increases, there are significant concerns regarding the decline in understanding the essence of participatory democracy and civic ethics. The primary objective of this study is to analyze in depth the strategic role of civic education as a means to preserve democratic ideals and to identify supporting and inhibiting factors in its implementation within higher education environments. The research method employed is a descriptive qualitative approach, utilizing observations and in-depth interviews with students and academics in Pasir Pengaraian to obtain an objective overview of local political dynamics. Research findings indicate that civic education serves effectively as a pillar of political literacy capable of transforming student perceptions from apathy to active participation, while also serving as a medium for character building that respects diversity of opinion. Furthermore, the integration of local Pasir Pengaraian values with the national curriculum is proven to increase the relevance and absorption of democratic material among students.

This study examines the implementation of Islamic business ethics in e-commerce transactions, with a specific focus on the Shopee platform. The research is motivated by the increasing growth of digital commerce accompanied by various ethical issues such as product misrepresentation, lack of transparency, and weak accountability of sellers. The objective of this study is to analyze how ethical principles, including honesty, fairness, and responsibility, are applied in online transactions. This research employs a qualitative approach using a systematic literature review method by analyzing 20 relevant scholarly articles published between 2020 and 2026. The findings reveal that although the platform provides adequate transactional systems, ethical violations are still prevalent, primarily due to information asymmetry between sellers and consumers. Trust emerges as the most influential factor in purchasing decisions, while perceived risk and security play supporting roles in shaping consumer behavior. Additionally, economic incentives such as promotions often override ethical considerations in influencing consumer decisions. The study implies that strengthening ethical enforcement, enhancing platform supervision, and improving consumer digital literacy are essential to ensure a sustainable and trustworthy e-commerce ecosystem.

This study aims to develop a sentiment classification method for YouTube user comments related to the game Love and Deepspace using the Naïve Bayes algorithm, focusing on improving the text data processing and understanding user perceptions. Comment data were collected through scraping from YouTube videos, followed by preprocessing including text cleaning, normalization, stopword removal, stemming, and translation into English. Initial labeling was conducted using TextBlob, then the data were randomly sampled for training the Naïve Bayes model. Evaluation involved comparing sentiment distributions and visualization using Word Cloud and bar charts. The Naïve Bayes model achieved an accuracy of 77.36% in sentiment classification. The sentiment distribution shows differences between TextBlob (positive: 1,011, neutral: 1,312, negative: 575) and Naïve Bayes (positive: 901, neutral: 1,627, negative: 370), with Naïve Bayes being more conservative. The Word Cloud visualization identifies dominant words such as "bang," "game," and "main," while the bar chart shows the largest proportion of neutral sentiment. Naïve Bayes is effective for sentiment classification on informal comment data, with significant differences from rule-based methods like TextBlob. This research contributes to the development of text data processing techniques and user perception analysis, as well as opening up optimization opportunities with other algorithms like SVM for better accuracy.

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.

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 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.

Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in the economy, yet limited access to capital remains a major obstacle. Sharia financing from Islamic microfinance institutions is expected to support MSME business sustainability. This study aims to analyze MSME customers' perceptions of sharia financing, identify the internal and external factors influencing these perceptions, and examine the dynamics of perception changes after receiving multiple financing facilities. This research employs a qualitative approach with a case study method. Data were collected through in-depth interviews, observation, and documentation from MSME customers receiving sharia financing at BMT NU Ngoro Regional Office. Data validity was ensured through source and method triangulation. The findings indicate that MSME customers generally hold a positive perception of sharia financing. It is perceived as offering easy procedures, good service quality, and compliance with Islamic principles, thereby supporting capital increase and business sustainability. Perceptions are influenced by internal factors such as business experience and motivation, as well as external factors including market conditions and competition. Furthermore, customers' perceptions tend to become progressively more positive as their experience with receiving financing increases. The significant role of interpersonal service quality and mentoring in shaping positive perceptions is a key finding. In conclusion, sharia financing at BMT NU Ngoro Regional Office plays a vital role in supporting MSME business sustainability. Consequently, continuous improvement in service quality and business assistance is necessary.

This study aims to examine how student lifestyles are represented on Instagram and how these representations can be understood through the concept of hyperreality. The research applies a qualitative approach using a literature review method by analyzing relevant scientific articles published within the last ten years. The findings indicate that Instagram is not only used as a communication medium but also as a space for self-representation. Students tend to upload curated content that highlights selected aspects of their lives, often emphasizing positive and visually appealing experiences. This practice reflects a process of constructing identity in the digital space. Through Jean Baudrillard’s perspective, these representations can be seen as forms of simulation that produce simulacra, where representations no longer directly refer to actual reality. As a result, a condition of hyperreality emerges, in which the boundary between reality and representation becomes increasingly blurred. This situation influences how students interpret social life and interact within digital environments. The study highlights the importance of understanding social media not only as a platform for interaction but also as a space where meanings and perceptions of reality are continuously shaped.

The purpose of this study is to examine the effect of Good Corporate Governance (GCG), financial performance, and Earning Per Share (EPS) on firm value. The object of this research consists of state-owned enterprises (SOEs) listed on the Indonesia Stock Exchange during the period of 2021–2024. This study employs a quantitative approach using secondary data in the form of annual financial statements as the primary source. The sample was selected using purposive sampling based on predetermined criteria, ensuring that only companies with complete data and consistent reporting were included in the analysis. The independent variables analyzed include the audit committee, independent commissioners, institutional ownership, Return on Assets (ROA), and Earning Per Share (EPS). Multiple linear regression analysis was used to process the data in this study, allowing the researchers to examine the simultaneous and partial effects of the variables on firm value. The findings indicate that firm value is significantly influenced by financial performance, particularly ROA, highlighting the importance of operational efficiency and profitability in enhancing shareholder wealth. While certain GCG variables such as institutional ownership showed positive influence, other elements like audit committees and independent commissioners produced mixed results, suggesting that governance mechanisms may have varying effects depending on organizational context. Meanwhile, EPS demonstrated inconsistent results in relation to firm value, implying that market perceptions of earnings may not fully capture the impact on overall firm valuation. This study provides insights for policymakers, investors, and corporate managers on the relative importance of governance and financial indicators in value creation for state-owned enterprises.

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.