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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.

University libraries play a strategic role in supporting academic learning and research. This study aims to evaluate user perceptions of library service management at UIN Madura, focusing on five key dimensions: clarity of service information, effectiveness of staff coordination, organizational structure support, simplicity of service procedures, and consistency of orientation for new users. The study used a quantitative approach with a survey method. Data were collected through an online Google Form-based questionnaire distributed to active UIN Madura students from various study programs, resulting in 21 valid respondents from diverse academic backgrounds. Data analysis was conducted descriptively using frequency distribution and percentages. The results indicate that user perceptions of library governance are generally quite positive. The majority of respondents gave good ratings to the clarity of service information (85.7% agreed or strongly agreed), the effectiveness of staff coordination (81%), and the organizational structure support (90.5%). However, the new user orientation dimension received the lowest rating, with 23.8% of respondents disagreeing or strongly disagreeing. These findings indicate the need for a more systematic and sustainable strengthening of the library orientation program. Overall, the service management and governance of the UIN Madura library were assessed as quite good. However, improvements are still needed in the aspects of socialization and guidance for new users so that this university library service can function optimally in supporting the academic community.

This study examines how the transition from manual to digital services influences user satisfaction through digital service quality and user perception at the Marine and Fisheries Office of Pekalongan Regency. The research employs a mixed-methods approach, combining a quantitative survey (N = 40) using Pearson correlation analysis with qualitative interviews involving service leaders and operators. The results reveal very strong correlations between service quality, user perception, and user satisfaction, as well as the critical role of system stability and operator assistance in shaping user experience. Qualitative findings confirm that changes in work culture, leadership, and human resource adaptation are key factors in the success of digitalisation. The study implies that the success of digital public services is determined not only by technology but also by strengthening human resource capacity, simplifying service design, and providing operator support for users with low digital literacy. The limitations of this study include the small sample size, the single organisational context, and reliance on perception-based data. Future research is recommended to conduct comparative cross-agency studies, longitudinal approaches, and structural model testing to examine the mediating roles of digital literacy and operator assistance.

This study aims to analyze the influence of terminal users’ perceptions on business development opportunities at Mangkang Type A Terminal, Semarang City, managed by the Central Java Class I Transportation Management Agency (BPTD). As a major transportation hub, the terminal functions not only as a passenger transit point but also as a strategic economic area with potential for commercial facility development. However, the utilization of business opportunities at Mangkang Terminal remains suboptimal, necessitating an evidence-based analysis of the factors that shape these opportunities. This research employs a quantitative approach using a survey method involving terminal users, including passengers, public transport drivers, and terminal visitors. Data were collected using a Likert-scale questionnaire and analyzed through multiple linear regression to examine the influence of user perceptions on business potential, which includes interest in facility usage, demand for additional services, and preferences for commercial space utilization. The findings indicate that perceptions related to comfort, safety, cleanliness, accessibility, and service quality significantly affect business development opportunities. Comfort and service quality emerge as the most dominant factors driving user interest in commercial facilities. These results emphasize that improving terminal service quality can serve as an effective strategy to expand business opportunities and enhance non-tax revenue.