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This research investigates the role of Public Relations (PR) in forming positive perceptions of TikTok Shop as an increasingly dominant e-commerce platform. This research involves analysis of PR communication strategies, image management, and interactions with stakeholders designed to create positive perceptions among consumers. Qualitative research methods were used to deepen understanding of how PR contributes to the formation of a positive image and relationship at TikTok Shop. The findings of this research highlight the importance of a proactive approach in responding to issues that can influence consumer perceptions of TikTok Shop.

The objective of this research is to understand the role of the marketing mix in shaping the school’s image. The research employs a qualitative descriptive method, involving school environment observation and interviews. From the research, it can be concluded that SDN 10 Pantoloan actively contributes to branding its school image. By delivering educational services with considerations from the marketing mix, SDN 10 Pantoloan can maintain its standards in creating a positive image. The school is able to showcase achievements, both academic and non-academic, provide better interaction with the community, and offer the necessary facilities to support a better school image 

The rapid growth of Internet of Things (IoT) and edge computing technologies has introduced new security challenges due to the distributed, heterogeneous, and dynamic nature of these environments. Conventional static security mechanisms, such as rulebased authentication and fixed trust models, are often inadequate for addressing evolving threats and abnormal behaviors in largescale IoT systems. To overcome these limitations, this study proposes a machine learningbased trust evaluation framework for enhancing security in distributed IoT environments. The proposed approach dynamically assesses the trustworthiness of IoT nodes by analyzing behavioral and interactionbased features collected at the edge layer. Machine learning models are trained to classify nodes into trusted and malicious categories and continuously update trust values in response to changing network conditions. Based on the predicted trust levels, adaptive security decisions are enforced to allow or restrict node participation in data sharing and computation processes. A quantitative experimental evaluation is conducted using simulated distributed IoT scenarios that include both normal and malicious behaviors. The performance of the proposed framework is evaluated using standard metrics such as accuracy, precision, recall, F1score, and detection effectiveness, and is compared against conventional static trust and rulebased security mechanisms. The results demonstrate that the proposed machine learningbased trust evaluation approach achieves significantly higher detection accuracy and robustness while maintaining low computational overhead. Overall, the findings confirm that integrating machine learning into trust management provides an effective and scalable solution for securing distributed IoT systems under dynamic and adversarial conditions.

This study explores the role of sentiment analysis as a predictive tool for understanding and forecasting product launch success in the digital market. Sentiment analysis involves the classification of consumer sentiment expressed on social media platforms such as Twitter and Instagram, and it can significantly impact businesses by predicting consumer behavior and product performance. The research highlights the relationship between social media sentiment and product success, demonstrating that positive sentiment is strongly correlated with higher sales and consumer engagement, while negative sentiment can lead to declines. Machine learning models, including Support Vector Machines (SVM) and Random Forest, were employed to classify sentiment from large volumes of social media data and correlate it with product performance indicators such as sales volume and consumer interaction. The study found that sentiment analysis models were highly effective in predicting product success, with positive sentiment generally driving product profitability and negative sentiment posing a potential threat to brand reputation. Moreover, the analysis showed that social media sentiment provides real-time insights into consumer perceptions, enabling businesses to quickly adjust marketing strategies and product development plans. These findings underscore the importance of integrating sentiment analysis into product launch evaluations and strategic decision-making. Future research should explore the integration of sentiment analysis with other predictive market models and investigate the effects of fake reviews and post-purchase consumer behaviors on product success.

Gouty arthritis is an autoimmune disease that occurs in 0.1-0.5% of the population and three-quarters of them are women. According to several researchers, the trigger factors for gout show that the interaction between environmental and genetic factors plays an important role. Genetic factors that play a role in the occurrence of gout arthritis and the severity of gout arthritis are smoking habits, silica inhalation, bacterial infections, viruses, mycobacteria and the hormone estrogen. The aim of this activity is to understand gout and administer bay leaf decoction to determine the efficacy of bay leaf decoction in gout patients. Health education about gout and boiled bay leaves can increase the knowledge of Kalibuntu Village residents to make all efforts to treat gout using traditional medicine. This outreach to residents can increase residents' knowledge and skills in using traditional medicine in a simple way.

Fiqh is not a revelation from heaven, but rather the result of ijtihad which is a product of human thought. Therefore, it is important to ask critical questions such as: who defined it, for what purpose, in what social context it was formulated, in which geographical area, and with what epistemological approach. These factors greatly influence the process of forming fiqh. In other words, fiqh was not born in a vacuum, but rather developed along with the course of history and was influenced by the dynamic interaction between thinkers and the socio-cultural and socio-political environment in which they were located. This article uses a literature review methodology to examine the historical and social dynamics in the formation of fiqh. Unfortunately, fiqh that is developing among Muslims today is still heavily influenced by medieval works, especially those from Middle Eastern scholars. This condition shows the need for renewal and reactualization of fiqh according to the context of the contemporary era and society.

This article examines the psychological effects of prolonged social isolation on adolescents during the COVID-19 pandemic. Utilizing data from mental health surveys and case studies conducted during the pandemic, the research identifies increased levels of anxiety, depression, and loneliness among teenagers as a result of limited social interaction. The study suggests that social isolation during these formative years can have lasting impacts on mental health, emphasizing the importance of support structures for youth during public health crises., 

Code mixing is a habit and role speech factor that is brought out in the use of language. There are various forms of code mixing in the interactions that occur between the narrator and the source in the podcast program. Deddy Corbuzier's program was the object, with that the research title "Analysis of Code Mixing in Deddy Corbuzier's Podcast Show with Fiki Naki" was raised. The method used in this research is a qualitative descriptive method. Forms of code mixing were found in speech carried out on Deddy Corbuzier's Podcast with Fiki Naki, namely full words, phrases and repetition of words. Two types of code mixing were found in Deddy Corbuzier's podcast story with Fiki Naki, namely inward code mixing and outgoing code mixing.

The increasing ease of internet access has led to its misuse in the form of online gambling. Initially, online games served as the entry point, but curiosity and interest have driven teenagers to participate in online gambling. Kartono (2014) defines gambling as the intentional act of risking something valuable with awareness of the associated risks and specific expectations for uncertain events, such as games, matches, races, and other occurrences. The uncertainty of outcomes generates expectations and tension for gamblers. nawati, Prakoso, and Prihatmi (2015) assert that the development of information and communication technology significantly influences the gambling model and its payment methods. Unlike traditional gambling, which requires face-to-face interactions, physical means, and cash payments, online gambling leverages the internet, enabling games without physical encounters. The rapid evolution of online gambling in recent decades has facilitated easy access to various forms of gambling through the internet. Despite gambling's historical existence, online gambling possesses distinct characteristics that entail specific risks. This journal aims to identify and explore the diverse negative impacts associated with online gambling, while also delving into control measures that can be implemented to address these issues. Employing the qualitative descriptive phenomenology research method, our study will uncover shared meanings of the online gambling phenomenon as experienced by a group of students (Sahputra et al., 2022). The methodology employed here is the literature review method, wherein an independent activity is conducted to collect literature data, engage in reading and note-taking, and process research materials from various sources, such as books, online media, print media, and national and international journals. Online gambling has emerged as a concerning phenomenon globally. This journal examines various aspects related to the hazards of online gambling, encompassing social, economic, and health impacts. Additionally, we discuss control efforts that can be implemented to address these issues, with the ultimate goal of enhancing understanding and promoting more effective actions in addressing this problem. Online gambling presents numerous dangers that can adversely affect individuals and society at large. To tackle this issue, control efforts, including stringent regulations, public education, and rehabilitation programs, are imperative. A comprehensive understanding of the perils of online gambling will enable collaborative efforts to create a safer and healthier environment for everyone. Concrete actions are necessary to shield society from the detrimental impacts of online gambling.

Social interaction has become a crucial need for students in the university environment, but individual conflicts can pose challenges. Conflict is a part of life, but if not handled properly, it can be difficult to control. This research aims to explore the relationship between religiosity and empathy with forgiveness behavior, utilizing a quantitative approach. The research sample involves 135 active students from Universitas Islam 45 Bekasi. The analysis results indicate that there is no significant linear relationship between religiosity and forgiveness, and there is no significant linear relationship between empathy and forgiveness. These findings illustrate that a high level of religiosity does not necessarily indicate positive forgiveness behavior, and empathy does not always contribute to the formation of forgiving attitudes. Additionally, the research highlights other contributing factors to forgiveness not addressed in the study, such as relationship quality, personality types, and attack characteristics. Therefore, further research is needed to identify and measure the influence of these factors. Furthermore, the research results indicate that 88% of other factors influencing forgiveness remain unexplored, emphasizing the need for further research with larger and more diverse samples.

Background: Fractures can occur in all bones, one of which is a humerus fracture. Humerus fracture is a fracture of the longest and largest bone of the superior extremity caused by direct or indirect impact or trauma. Ida Jean Orlando, is a first generation Irish-American who was born on August 12, 1926 in New Jersey. Ida Jean Orlando's concept model is known as The Discipline and Teaching of Nursing Process: An Evaluative Study”. Ida Jean Orlando first published her theory in "The Dynamic nurse-patient relationship: Function, process and principles of Professional Nursing Practice" (1961) and published her second book entitled; “The Discipline and Teaching of Nursing Process: An Evaluative Study (1972). Orlando made several important contributions to nursing theory and practice. The concept of the nursing process that he provides includes several criteria, including providing a relationship concept that is described systematically regarding phenomena in the field of nursing, specifying the relationship between nursing concepts, explaining what happens during the nursing process and why it happens, describing how nursing phenomena can be controlled and explains how to control to predict the outcome of the nursing process.Objective: This research aims to implement nursing care for Humerus Fracture patients using the Ida Jean Orlando concept model approach. Research methodology: This research uses a Case Study, namely providing nursing care to patients with Humerus Fractures. Results: The results of this research are to improve nurse-patient interactions, a better understanding of relationship dynamics in the nursing process, and their impact on overall patient outcomes.Conclusion:The conclusion of this research is that the application of nursing care to Humerus Fracture patients using the Ida Jean Orlando concept model approach can make a positive contribution to nurse-patient interactions and overall patient outcomes.

Katherine Kolcaba originally wrote comfort theory in Alzheimer's and dementia patients. However, Katherine herself has written several articles in the nursing field regarding her theory. When Kolcaba developed his theory, he used logical reasoning. He uses induction, deduction, subtraction. Kolcaba uses existing frameworks to synthesize or identify comfort types. This book has a provocative and profound effect, encouraging psychologists to study personality holistically and in depth and emphasizing the complex interactions between individual, social, and cultural characteristics. This is an excellent starting point for this theory because comfort is best achieved through holistic treatment. He also begins with the analytical concept of the term "comfort". Katherine Kolcaba collects definitions of “comfort” from various scientific disciplines. In comfort theory, the metaparadigm proposition of nursing action is used.

Muhammad Faizar is a famous ustadz for his preaching using the Shar'iyah ruqiyah method. Ustadz Muhammad Faizar actively preached through his YouTube Channel through ruqiyah medicine. The purpose of this study is to understand public interaction on social media, especially on the YouTube platform through the account of Ustadz Muhammad Faizar. This research uses qualitative methods with a netnographic approach whose focus of observation is the YouTube social media approach. The object of this research is content in the form of ruqiyah impressions on the YouTube channel "Ustadz Muhammad Faizar". The results of this study show that of all the content of Ustad Muhammad Faizar da'wah videos on YouTube from 2020 the theme of ruqiyah syar'iyah. The content that netizens like the most is Qur'anic verse therapy for healing from magic. These findings are a requirement that digital media is one of the potential means for Islamic da'wah.

The aim of this research is to find out how much influence educational interactions have on student learning behavior in Christian Religious Education learning for class Christian Religious Education for class XI students at SMK Negeri 1 Balige for the 2023/2024 academic year. With a population of all class Data was collected using a closed questionnaire with 46 items compiled by the author based on variable indicators according to expert theory. The questionnaire trial was carried out on 30 respondents of class Y 0.321 – 0.637 (there are 2 question items that have validity less than r table = 0.361, namely item number 33 and 41 so that the invalid questionnaire is discarded. Thus, the valid questionnaire is 44 questions. And the reliability of the questionnaire trial is variable X which is at a value of 0.829 it is in a very strong interpretation, and the reliability of the questionnaire trial of variable Y which is at a value of 0.842 and is in a very strong interpretation and has been tested for validity and reliability. The results of data analysis show that there is a positive and significant influence between Educational Interaction on Learning Behavior Students in Christian Religious Education Learning for Class XI Students at SMK Negeri 1 Balige for the 2023/2024 Academic Year. By testing the relationship, it is obtained that rcount>rttable is 0.524>0.297, with a significant relationship test tcount>ttable is 4.257>2.000, the coefficient of determination is 27.5%. This means that H0 is rejected and Ha is accepted. This research suggests to teachers to always improve educational interactions in learning, so that the learning behavior of Class

Question and answer is a classroom activity that allows learners to create or recreate meaning through language. Effective questioning is a means for students to respond during the learning process. Designing questions that capture student interest and attention comprises diagnosing and verifying specific facts or information, determining, and encouraging analytical, inductive, differentiation, extension, application, problem-solving, and synthesis skills. To be effective, we must design questions and answers to request information. Effective classroom questioning techniques require good preparation and do not require students to use thinking skills. This article illustrates that Q&A is a very common activity that can help students learn English and is an important way for students to exchange ideas with teachers and students. The article also covers some basic questions and examines questioning techniques in English teaching.

This research uses literature study analysis to evaluate the influence of oil and gas exports, non-oil and gas exports and foreign investment on Indonesia's economic growth. The results show that dependence on the oil and gas sector has a negative impact on economic growth, while growth in non-oil and gas exports and foreign investment has a positive impact. Economic diversification through increasing non-oil and gas exports and appropriate foreign investment can reduce dependence on the oil and gas sector and increase Indonesia's economic resilience. However, keep in mind that the interaction between these variables is not always linear and can affect overall economic growth.

This research uses literature study analysis to evaluate the influence of oil and gas exports, non-oil and gas exports and foreign investment on Indonesia's economic growth. The results show that dependence on the oil and gas sector has a negative impact on economic growth, while growth in non-oil and gas exports and foreign investment has a positive impact. Economic diversification through increasing non-oil and gas exports and appropriate foreign investment can reduce dependence on the oil and gas sector and increase Indonesia's economic resilience. However, keep in mind that the interaction between these variables is not always linear and can affect overall economic growth.

This journal discusses the implementation of digitization and technology as key drivers for advancing and designing business strategies for Kru V, a social media management service agency. In an era where social media plays a crucial role in marketing and customer interaction, the agency leverages digital technology to enhance operational efficiency and broaden the scope of its services. This article provides an in-depth analysis of the concrete steps taken by Kru V in adopting cutting-edge technology and its impact on the agency's business development and competitive advantage.

  This journal discusses the influence of external and internal factors on delays in implementing environmental pollution approval and control at PT Royal Coconut. Through a case analysis approach, this research explores the impact of factors such as changes in environmental regulations, public pressure, and internal company policies on the timing of environmental approval implementation. We also consider internal organizational factors, such as risk management, corporate commitment, and technical capacity in the context of pollution control. This research explores the complex interactions between these factors and their impact on the implementation process of environmental agreements, providing in-depth insights for practitioners, policy makers and researchers interested in the field of industrial environmental management. Based on the research results, it shows that the basis for evaluating the implementation of environmental pollution control at PT Royal Coconut in West Limboto District is not in accordance with the approval, when viewed from Article 1338 of the Civil Code. The research results show non- compliance in the implementation of the agreement, which includes environmental violations and non- compliance with agreed obligations. In addition, there are several identified problems related to factors inhibiting the implementation of environmental pollution control agreements originating from internal and external factors of the company. such as, lack of legal and ethical awareness in business, lack of awareness of the impact of environmental pollution, lack of government education with the community regarding the dangers posed by factory waste, and lack of openness between the community and the management of PT Royal Coconut. So in realizing implementation it must require participation from the community and local government.

The aim of this research is to explore the role of Artificial Intelligence (AI) device technology in supporting everyday human life, especially in Luna Torasyngu's novel "Traveline Past." AI is implemented as an intelligent and flexible assistant/partner, serving not only as a mechanical tool but also as an adaptive partner that responds to user needs. Concrete examples include smartwatches, computers with complex authorization systems, sensors that read phenomena and function as weapons, databases encompassing information from the past, and the use of Nano Technology in the production of clothing that can change according to needs. The research findings provide a holistic overview of how AI technology and its related components can shape the lifestyle and interaction of humans with the environment in the future, prompting questions about the positive impact and ethical challenges associated with the integration of AI into daily life. The focus is on analyzing the role of AI-forming device technology in the novel, using a hermeneutic approach. The findings include the utilization of technologies such as 1) smartwatches, 2) computers, 3) sensors, 4) databases, and 5) Nano Technology.