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Data from the Social Security Administering Agency (BPJS) for Employment in 2021 - 2022 recorded 499,604 cases of work accidents, then the Circular Letter of the Chief Mining Inspector number: B- 6234/MB.07/DBT.KP/2023 dated 9 October 2023 regarding Increasing Vigilance in Efforts Preventing Mining Accidents and Improving Mining Safety Performance, throughout 2023, 46.9% of accidents will result in deaths due to interaction activities on mine roads. Based on preliminary studies at PT. The true Saptaindra Site SERA in 2023 found that the number of property damage accidents (equipment damage) was 11 cases and near misses were 4 cases. The aim of this research is to identify risks that can occur both in terms of humans, the environment and operational processes, then be able to analyze the level of risk and provide recommendations for controlling dangerous risks to minimize the potential for work accidents at the PT Saptaindra Sejati Site SERA. This research uses HIRA (Hazzard Identification Risk Assessment) method with the main focus being able to identify potential hazards through calculating the level of opportunity (Likelihood) and level of severity (Saverity) in order to obtain the level of risk using a risk matrix. And then control is carried out according to the work safety hierarchy, namely elimination, substitution, engineering, administration and PPE (personal protective equipment). The results of this research show that after controlling jobs with a medium risk level, there are 3 jobs including Topsoil removal, Over burden removal and Coal getting and less than 9 according to table 2.3 Risk Matrix and jobs with a low risk level. risk), namely 3 jobs including Land clearing, Drill and blast and Mine water pumping work in the sump.    

The purpose of this study was to determine the effectiveness of social media marketing instagram in the dimensions of content creation, content sharing, connecting, and community building on customer decisions Dezato BrowniesThe type of research used is descriptive qualitative. Sedarmayanti and Hidayat (2011: 33) define qualitative descriptive research as a method in finding facts about the status of a group of people, an object, a condition, an event in the present with the right interpretation. This is in line with the test results which show that social media marketing with the variables Content Creation, Content sharing, Connecting, Communitiy Building is very effective on Dezato Brownies' customer decisions. It can be concluded that social media marketing effectively increases customer awareness, interaction, and purchasing decisions, making a positive contribution to business growth. Keep in mind that customer purchasing decisions are influenced by complex factors beyond the variables studied, confirming the complexity of market dynamics and consumer behavior.

Nagari Tuo Pariangan is a tourist village in Indonesia which is one of the supporting factors and drivers of the welfare of the people who live in it and is also a solution to accelerate village development which can have a positive effect in the form of improving the quality of the environment and the preservation of the culture contained therein. The purpose of this design is to produce a Destination Branding design for Nagari Tuo Pariangan as the oldest village in Minangkabau in order to optimize awareness and visitor interaction in Nagari Tuo Pariangan. The method used in this design is the 4D method, which consists of Define, Design, Develop, and Disseminate. By using the SWOT data analysis method. This branding design will produce the main media in the form of Brand Guidline Book, and supporting media in the form of DL Envelope, letterhead, business card, landyard, id card, Brochure, Instagram feed, Infographic, Wayfinding System, Signage, Billboard, Expo Booth, banner, Merchandise, Totebag, T-shirt, and umbrella.

The era of globalization that we are living in has brought major changes in various aspects of human life. In the midst of the era of globalization, new challenges and opportunities emerge. Society is becoming more open to different cultures and world views. The birth of artificial intelligence (AI) has become a historical milestone that defines the journey of human technology. However, the role of AI is not only limited to the business sector. In everyday life, we interact with virtual assistants, recommendation systems, and other AI technologies. Qualitative research is a research approach that aims to understand and explain social phenomena through in-depth analysis of non-numerical data. This research method is more inductive, where theory develops as data is collected and analyzed. The data collection process in qualitative research involves direct interaction with participants (interviews and FGDs), in-depth observation, or data analysis. Qualitative data analysis involves the process of coding, categorizing, and organizing patterns of findings. Using qualitative analysis software such as NVivo or Atlas.ti can make complex data management and analysis easier. The time period used in this research is 4 months, starting September 2023 – December 2023. The research results show that AI can have both positive and negative influences on Generation Z. Apart from that, AI is also able to have positive and negative impacts on Generation Z. This research even shows extraordinary and unexpected findings.

Ethics in accounting is a fundamental aspect in the world of accounting, involving moral principles and values that accountants must adhere to in carrying out their responsibilities. Beyond technical aspects such as compliance with accounting standards, ethical considerations also encompass behavioral aspects involving interactions with colleagues, superiors, and clients. The implementation of behavioral aspects in accounting ethics significantly influences employee performance. Accountants who apply moral principles and positive values in their work affect their interactions with others, building good relationships with colleagues, superiors, and clients. This enhances team collaboration, effective communication, and wise conflict resolution. This research purpose to uncover the impact of the implementation of behavior aspects in accounting ethics on employee performance, in line with research issues related to investigate the result of these aspects on employee performance.

This research was conducted because researchers observed that food vlogger content on Instagram social media at the Marriott Cafe Hotel JW Marriott Medan was not effective. The main problem is that the uploaded content still has little insight or interaction such as the number of viewers, likes, and those who share the content, as well as a lack of detail and enthusiasm in explaining the content reviewed by food vloggers. The aim of this research is to analyze the content carried out by 5 food vlogger on social media Instagram Marriott Cafe Hotel JW Marriott Medan. The type of research used was descriptive with a qualitative approach, by interviewing three (3) informants using a purposive sampling technique. Data collection techniques through interviews, observation and documentation., observation, documentation. The data is analyzed by reduction, namely summarizing, selecting and focusing on important things and analyzing the data obtained with the problem being studied. The results of this research show that the content uploaded by food vloggers at the Marriott Cafe is visually and audio and editing is good, but the content, namely the way the food vlogger conveys the message, is less interesting, namely the food vlogger does not use an original voice such as a good, unique, distinctive narrative. in conducting reviews, this is what causes Instagram users to be less interested in watching food vlogger content which causes little engagement on Instagram social media when food vloggers at the Marriott Cafe Hotel JW Marriott Medan.

This study aims to provide an overview of the clubbers' lifestyle during emerging adulthood, focusing on aspects including social interaction, clothing style, music preferences, and the impact on physical and mental health of clubbers. The research employs a descriptive qualitative research method. Data were gathered through in-depth interviews, observations at nightclubs, and documentation. The research subjects consisted of 3 respondents, including 2 females and 1 male. Purposive sampling technique was employed to select participants. The findings of this study acknowledge the significance of emotional expression in the clubbers' lifestyle during emerging adulthood. Social interactions at clubs foster self-confidence and identity enhancement. However, the study also reveals potential impacts on physical and mental health such as altered sleep patterns and stress potential. These findings emphasize the importance of balancing positive emotional expression and individual well-being in navigating the clubbers' lifestyle during the transition to young adulthood.

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.