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The rapid development of information technology has transformed social media into a digital space that plays a crucial role in shaping the mindset, behavior, and lifestyle of young generations. TikTok is one of the most dominant platforms used by Generation Z, particularly students, due to its ability to present algorithm-based content that aligns with user interests. This condition has the potential to cause psychological stress in the form of Fear of Missing Out (FOMO), which reflects social anxiety due to the perception of being late in keeping up with trends, information, or experiences that hold a dominant position in the social landscape. This research initiative aims to examine the influence of TikTok usage on the lifestyle configurations of Generation Z students, with FOMO serving as a determinant that strengthens this relationship. This study is designed within the quantitative tradition with a positivist epistemological orientation. The study population includes 250 students from the Faculty of Computer Science at the National Pasim University in Bandung, with a sample size of 72 respondents derived using Slovin's formula. The analysis results indicate that TikTok usage and the level of FOMO have a positive and significant impact on changes in students' lifestyles. The regression coefficient estimates are in the positive direction, with a significance value exceeding the critical threshold of 0.05, indicating a unidirectional relationship between the variables. The model determination estimate, at around 57.5%, confirms that TikTok and FOMO are able to explain a significant portion of the variation in students' lifestyles, while the remainder is influenced by factors outside the scope of this study. This finding confirms that TikTok functions not only as a medium of entertainment but also as an agent shaping lifestyles influenced by social and psychological pressures. Therefore, strengthening digital literacy is crucial so that students can use social media more rationally and responsibly.

The Myers-Briggs Type Indicator (MBTI) is one of the personality assessment tools that is often used to identify individual psychological tendencies, including in the context of higher education. In the student environment, MBTI is widely used as a means of self-introduction, adjustment of learning styles, increasing the effectiveness of group work, and career planning. This article aims to examine the relevance of the application of MBTI among students using a literature study approach. The research method used is in the form of a review of various literature sources, such as scientific journals, books, and academic articles that discuss the basic concept of MBTI, its implementation in the field of education, and critical views regarding its limitations. The results of the study show that MBTI has a fairly relevant role as a non-diagnostic instrument in helping students understand their potential, learning preferences, and social and academic interaction patterns. In addition, the appropriate use of MBTI can support improved learning quality, teamwork effectiveness, and academic counseling services. However, a number of literature highlights the limitations of MBTI, especially regarding aspects of validity and reliability, so it is not recommended to be used as the sole basis for academic or psychological decision-making. Thus, MBTI remains relevant for students if used wisely, contextually, and based on a strong scientific foundation to support students' academic and personality development.

Shallots are one of the most strategic horticultural commodities in Indonesia, with high demand and varying production levels across regions. Differences in productivity between areas often create challenges in managing distribution and formulating national food policies. This study aims to analyze shallot production data in Indonesia by applying the K-Means Clustering algorithm using Python. The production data were collected from official agricultural statistics publications, followed by preprocessing, normalization, and determination of the optimal number of clusters using the Elbow method and Silhouette Score. The clustering results show the formation of several groups representing regions with high, medium, and low production levels. Visualization of the clustering results reveals the distribution patterns of shallot production, which can serve as a basis for supporting policy formulation in the development of shallot production centers in Indonesia. Thus, the application of K-Means Clustering with Python proves to be an effective approach to provide clearer insights into regional production variations and can be utilized as an analytical tool to support decision-making in the agricultural sector.

This study discusses the application of Internet of Things (IoT) technology in the monitoring and control system of smokehouse machines at PT Serena Harsa Utama. IoT enables the integration of sensors to monitor critical parameters such as temperature and humidity in real-time, thereby enhancing production efficiency and product quality. An experimental method was employed to test the effectiveness of the IoT system, with data collection through integrated sensors. The results indicate that IoT implementation can increase production efficiency by up to 30%, reduce human error, and optimize energy consumption. Despite challenges related to initial investment and operator training, the long-term benefits of IoT adoption, such as improved product quality and reduced downtime, make it a promising solution in the food processing industry. This research emphasizes the importance of adopting IoT technology to enhance competitiveness in the modern industry.

This study examines the effectiveness of mindfulness therapy in overcoming overthinking in Al Falah Dago High School students. The therapy was given to 30 students of Al Falah Dago High School. Overthinking is an excessive mindset that often triggers anxiety, especially among Generation Z who are exposed to technology and social media. The mindfulness therapy used is the STOP technique (Stop, Take a breath, Observe, Proceed) to make students more focused on the present moment. With the One Group Pretest-Posttest research design, the results showed an increase in the average level of students' mindfulness after the application of mindfulness therapy using the STOP technique. Before the intervention, the mean score of students' mindfulness was 15, and after the intervention, the score increased to 16.5. This study provides insight into the importance of mindfulness as a strategy to manage anxiety and build better mental balance.