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Poetry is one of the most interesting forms of literary work but is full of meaning. Poetry is a medium for conveying feelings and ideas with beautiful words. Poetry as a meaningful aesthetic work is also a recording and interpretation of human experience composed in the most memorable form. Poetry can make us laugh, cry, smile, think, reflect, be moved and even get emotional and angry. Until now, poetry can be an illustration of the cultural progress of society. How the writer of the poem views his world is a real picture of the culture that surrounds him. Because the progress of society from time to time always increases, bringing changes in the style, nature and form of poetry. Poetry changes following developments in taste, ever-changing aesthetic concepts, and intellectual progress. The aim of the research is stated in a sentence that explores or deepens the inner structure of poetry. The inner structure intended is: theme, tone, feeling and message. The method used in this research is descriptive analytical method. This method also attempts to describe facts logically. Through this method, the researcher tries to analyze the inner structure of Joko Pinurbo's poem entitled "Happy Birthday, Book", while the analysis of this poem is described in his own words and language.

Poetry is one of the most interesting forms of literary work but is full of meaning. Poetry is a medium for conveying feelings and ideas with beautiful words. Poetry as a meaningful aesthetic work is also a recording and interpretation of human experience composed in the most memorable form. Poetry can make us laugh, cry, smile, think, reflect, be moved and even get emotional and angry. Until now, poetry can be an illustration of the cultural progress of society. How the writer of the poem views his world is a real picture of the culture that surrounds him. Because the progress of society from time to time always increases, bringing changes in the style, nature and form of poetry. Poetry changes following developments in taste, ever-changing aesthetic concepts, and intellectual progress. The aim of the research is stated in a sentence that explores or deepens the inner structure of poetry. The inner structure intended is: theme, tone, feeling and message. The method used in this research is descriptive analytical method. This method also attempts to describe facts logically. Through this method, the researcher tries to analyze the inner structure of Joko Pinurbo's poem entitled "Happy Birthday, Book", while the analysis of this poem is described in his own words and language.

Humans are creatures created specially by Allah, Allah created humans to be the same as Himself. This means that humans were created to live according to God's will. Humans try to find God in various ways and efforts but it is completely difficult to find the truth. So that makes people tend to think wrongly. Theology itself not only shows interesting facts related to the Christian Scriptures, but in the theological context, long debates often occur regarding certain topics within the scope of theology. Philosophy tends to use reason (logic) as a basis for carrying out arguments. Philosophy brings people to be able to think logically, straight and precisely. This is the case with the history of philosophy, so that seminarians, while studying the basic principles of various systems, can maintain elements that are proven to be true and find the roots of errors and refute them. Human life is a complex reality because in life, humans have no other choice but to always do something to maintain their existence. Before acting, each individual must decide, given certain risks, what to do.        

This research investigates the impact of English language acquisition on transportation literacy among transportation management students. Through qualitative analysis of interviews and document analysis, the study explores how proficiency in English influences students' comprehension of key transportation concepts. The findings reveal that English language proficiency significantly enhances students' understanding of complex transportation topics, such as logistics, safety regulations, and multimodal transportation systems. Integrating effective language learning strategies, such as real-world scenarios and interactive activities, into transportation management courses can bridge the gap between language proficiency and transportation literacy. Additionally, innovative assessment methods, such as performance-based assessments, offer a more comprehensive approach to evaluating students' language proficiency and its application in transportation contexts. The study recommends ongoing professional development for educators, collaboration with industry partners, and the promotion of multilingualism to enhance transportation literacy among students. By adopting these recommendations, educational institutions can ensure that transportation management students are equipped with the necessary language skills to succeed in an increasingly globalised and diverse transportation industry.

This research explores the critical role of English communication in promoting safety within the transportation industry. Through qualitative analysis of 100 cadets studying multimodal transportation, logistics, transportation safety, and law and road management, the study examines the impact of language barriers on safety incidents and proposes strategies for enhancing safety outcomes through improved communication. The findings highlight the significant contribution of communication breakdowns to safety incidents in transportation operations, underscoring the need for effective communication strategies. The research recommends the development of tailored training programs that integrate language proficiency with sector-specific safety knowledge, as well as the inclusion of cultural awareness training and the integration of communication technologies to enhance communication effectiveness. The study also identifies the positive impact of improved English communication on safety outcomes, suggesting that enhanced communication skills can mitigate safety risks and improve overall operational efficiency. By implementing these recommendations and prioritizing continuous professional development, transportation stakeholders can improve communication strategies and enhance safety practices within the industry.

Semarang, the capital of Central Java, is one of the big cities in Indonesia. However, the city still experiences significant education gaps. Moved by concern and enthusiasm for educating the nation, several physics education students at UIN Walisongo Semarang University together with the login house community carried out a joint learning program by introducing physics with children under the Semarang Cakrawal flyover bridge. This activity aims to improve children's knowledge and skills in physics subjects. This activity is not only about documenting a joint learning program but it is a moral movement to fight for the right to education for all children in Indonesia. This research was conducted in the urban area under the Cakrawala Flyover Bridge, Tawangsari, West Semarang. The method used in this service activity uses a classical approach. Children's enthusiasm and motivation for learning physics seems to be getting higher after being given motivation and fun learning methods from physics students.

Management transformation in the shipping industry has become increasingly important with the advancement of information technology. This research aims to analyze the role of information technology in management transformation in the shipping industry. Through a literature review approach, this study explores the use of information technology in enhancing operational efficiency, facilitating faster decision-making, and improving company competitiveness. The main findings indicate that information technology has been a key driver in management transformation, with the adoption of integrated logistics management systems and real-time ship monitoring. However, challenges such as infrastructure complexity, data security issues, and resource constraints are also identified in the implementation of information technology. Effective mitigation strategies are needed to address these challenges. This study also highlights the importance of collaboration and partnerships in the transformation of the shipping industry. Thus, this research provides a comprehensive understanding of the role of information technology in management transformation in the shipping industry, while highlighting the challenges faced and their practical implications.

Individual Competency describes a characteristic or ability possessed by each employee in carrying out work. Of course, paying attention to existing factors and indicators can create quality competencies and improve employee performance. By using the literature study method, it is hoped that we will be able to analyze individual competencies accurately according to data from existing sources. So in this case, the development of human resources within the company will be of high quality. This article describes individual competencies which include the relationship between employee performance and motives, traits, self-concept, knowledge and skills, and the benefits for the company and employees. This material is designed to help employees develop their ability to develop, increase resilience, ability to face problems and develop skills in innovation and improve their individual performance. With individual competency, employees can shape their personality and increase employee knowledge, and employee skills will have a positive impact on maximizing company productivity.

MSIB (Certified Independent Study and Internship) is one of the activity programs at the Merdeka Campus which aims to help students improve their skills and develop themselves. MSIB appointed Orbit Future Academy as one of the partners in the Independent Study program. Founded in 2016 with the aim of improving the quality of life through innovation, education and skills training. In accordance with its mission, namely "We curate and localize international programs and courses for upskilling, re-skilling youth, and the workforce towards jobs of the future". Partners provide opportunities for students to take Artificial Intelligence programs and study online. Learning consists of eight material courses including Python Programming, AI Technology Logic and Concepts, AI Project Cycle, AI Research Methods, ChatGPT, Professional and Company Ethics, Financial Literacy and ending with a Final Project. The final project scope carried out is the Occupancy Detection in Parking Lot project. This project uses the Computer Vision domain with the selection of the YOLO model in detecting objects and pixel segmentation. The project begins with selecting a dataset using roboflow which then goes through data pre-processing for cloning, annotation and augmentation. Then the model is trained using machine learning and deep learning algorithms to understand patterns and characteristics related to parking spaces. Once trained, the AI model will be validated using test data. This aims to ensure that the model truly recognizes the presence of the vehicle. Next, form the application design in creating an informative interface using wireframes. Then enter the deployment stage so that the system can be accessed widely and easily via the web. Lastly, field testing is to find out the performance of the application that has been designed.      

Stock returns are generated by investors from buying and selling activities of the stocks they own. The generated return is determined by the increase or decrease in the stock prices. These prices are formed by the fundamental performance of the company. The purpose of this research is to examine the influence of factors such as financial distress, firm size, liquidity, and price to cash flow from operating activities on stock return. This study was conducted on transportation and logistics companies during the period of 2019-2022. A total of 22 companies were selected as samples for this research, using purposive sampling method and obtaining 88 relevant research data. The relationship between the dependent variable and independent variables was analyzed using multiple linear regression. The hypothesis test showed that the variable of financial distress, analyzed using the Zmijewski method, did not have any significant influence on stock return. Firm size, measured by total assets, was also not found to have a significant impact on stock return. The analysis of liquidity using the current ratio did not find a significant influence on stock return. However, price to cash flow from operating activities showed a significant and positive influence on stock return. This factor can be taken into consideration by investors and potential investors when analyzing the financial fundamentals of transportation and logistics companies before investing, as it has an impact on stock return.

Responsiveness is a form of feedback and the willingness of service providers to provide support to the community through their services. Responsiveness also refers to the connection between activities and services and the needs and expectations of society. Responsiveness is very important in serving the people because it provides evidence of the organization's capability in recognizing the wishes of the people. This research aims to understand the response capacity of the Regional Disaster Management Agency to flood incidents in Tanjungpinang City. The scope of this research has six criteria, namely: 1) Responding to every customer/candidate who needs to receive services; 2) Staff/equipment provides timely service; 3) Appropriate service personnel/equipment; 4) Personnel/equipment provides services with care; 5) Personnel/equipment performs service immediately; 6) All customer complaints are handled by employees. This study applies qualitative methods combined with qualitative descriptive analysis. The subject of this research is the Head of the Disaster Prevention and Preparedness Division and the Logistics Division. Information retrieval methods include question and answer and note taking. The results of the research show that currently there is starting to be a response or response from the BPBD which is going better than before, this is also in accordance with their motto, namely fast, responsive and tough.

This qualitative study examines the effectiveness of logistics education within Indonesian transportation institutes' multimodal transportation programmes. Fifty cadets were analysed, revealing a positive perception of logistics education's importance and its significant impact on student competency and operational efficiency. Themes emerged highlighting cadets' strong understanding and application of logistical principles, leading to tangible improvements in transportation costs, service quality, and work processes. The findings underscore the critical role of logistics education in preparing students for careers in the transportation sector and improving the efficiency and sustainability of transportation systems. Recommendations include curriculum enhancement, professional development for educators, industry engagement, and the integration of technology. By implementing these recommendations, educational institutions can better align their programmes with industry needs and ensure graduates are equipped to address the sector's challenges. This research contributes to the discourse on transportation education, emphasising the importance of logistics education in shaping the future of multimodal transportation in Indonesia and beyond.

An Internet of Things (IoT)-based logistics monitoring system is an innovation designed to enhance efficiency, transparency, and speed in supply chain management. The implementation of IoT in logistics provides an ideal solution for real-time monitoring of goods, which was previously difficult with conventional methods. This system integrates IoT sensors such as GPS for location tracking, along with temperature and humidity sensors to monitor goods requiring special attention, such as food and pharmaceuticals. By automating processes through IoT technology, goods distribution becomes faster, reducing reliance on manual controls, speeding up decision-making, and minimising human error. This system enables companies to monitor the condition and location of goods in real-time, offering high visibility into the logistics status. With comprehensive monitoring, companies can proactively address issues and ensure goods remain in optimal condition throughout the shipping process. An IoT-based logistics monitoring system has the potential to enhance a company’s competitiveness through efficiency and accuracy in supply chain management. When effectively implemented, IoT technology can not only improve service quality and customer satisfaction but also strengthen a company’s position in an increasingly competitive market.

Background: Public opinion analysis has become increasingly important in the digital era, where social media platforms generate large-scale textual data reflecting public perceptions toward environmental policies. Advances in Natural language processing (NLP) and machine learning enable systematic sentiment classification to support data-driven decision-making. Objective: This study aims to evaluate the effectiveness of several sentiment classification models in analyzing Indonesian-language social media data related to environmental policies. Method: The research employed a text mining pipeline including data crawling, preprocessing (case folding, tokenization, stopword removal, and stemming), and vectorization using TF-IDF. Three classification models Logistic Regression, Support Vector Machine (SVM), and Long Short-Term Memory (LSTM) were trained and evaluated using accuracy and F1-score metrics. Results: Experimental findings indicate that LSTM achieved the highest performance with 91.7% accuracy and 91.2% F1-score, outperforming SVM (88.5%) and Logistic Regression (84.2%). Sentiment distribution analysis shows that public opinion is dominated by positive sentiment (47.5%), followed by neutral (32.0%) and negative (20.5%). Overall: The results demonstrate that deep learning-based models provide more robust contextual understanding and more reliable sentiment mapping for environmental policy analysis.

Abstract: Public speaking is a person's ability to speak in public clearly, confidently, and effectively. It involves the ability to convey a message or information to an audience in a way that can be understood and motivates them. Public speaking skills involve several key elements, including the ability to plan and structure presentation materials well, organize thoughts logically, use supportive body language and facial expressions, and manage any nervousness or anxiety that may arise. The purpose of holding a public seminar is to convey information, influence, express opinions, motivate, entertain and promote self-confidence where self-confidence is a quality that a person has and believes in his abilities. Confidence is very useful when we are speaking in front of many people.

Abstract: Public speaking is a person's ability to speak in public clearly, confidently, and effectively. It involves the ability to convey a message or information to an audience in a way that can be understood and motivates them. Public speaking skills involve several key elements, including the ability to plan and structure presentation materials well, organize thoughts logically, use supportive body language and facial expressions, and manage any nervousness or anxiety that may arise. The purpose of holding a public seminar is to convey information, influence, express opinions, motivate, entertain and promote self-confidence where self-confidence is a quality that a person has and believes in his abilities. Confidence is very useful when we are speaking in front of many people.

Fraudsters increasingly exploit unauthorized credit card information for financial gain, targeting un-suspecting users, especially as financial institutions expand their services to semi-urban and rural areas. This, in turn, has continued to ripple across society, causing huge financial losses and lowering user trust implications for all cardholders. Thus, banks cum financial institutions are today poised to implement fraud detection schemes. Five algorithms were trained with and without the application of the Synthetic Minority Over-sampling Technique (SMOTE) to assess their performance. These algorithms included Random Forest (RF), K-Nearest Neighbors (KNN), Naïve Bayes (NB), Support Vector Machines (SVM), and Logistic Regression (LR). The methodology was implemented and tested through an API using Flask and Streamlit in Python. Before applying SMOTE, the RF classifier outperformed the others with an accuracy of 0.9802, while the accuracies for LR, KNN, NB, and SVM were 0.9219, 0.9435, 0.9508, and 0.9008, respectively. Conversely, after the application of SMOTE, RF achieved a prediction accuracy of 0.9919, whereas LR, KNN, NB, and SVM attained accuracies of 0.9805, 0.9210, 0.9125, and 0.8145, respectively. These results highlight the effectiveness of combining RF with SMOTE to enhance prediction accuracy in credit card fraud detection.

Human resources are a very important factor in an organization. Medical personnel are human resources to achieve hospital goals. In order for hospital goals to be achieved effectively and efficiently, management is required to be able to provide job satisfaction to its medical personnel. The aim of the research is to determine and analyze the factors that influence the job satisfaction of medical personnel at RSU Sinar Husni Deli Serdang in 2023. The research design used in this research is an analytical survey with a cross sectional design. The population in this study was all medical personnel at RSU Sinar Husni Deli Serdang, totaling 138 people, the number of samples to be studied was 102 people, the sampling technique used was purposive sampling, data analysis was carried out using univariate, bivariate and multivariate analysis. . The statistical tests used are the chi square test and logistic regression. The results of the chi square test research show that the independent variables, namely salary p= 0.001, coworkers p= 0.001, supervision p= 0.002, promotion p= 0.003 and job characteristics p= 0.008 have a p-value of 0.001 < α 0.05, meaning salary , colleagues, supervision, promotions and job characteristics influence job satisfaction of medical personnel at RSU Sinar Husni Deli Serdang and the results of the multiple logistic regression test show that the salary variable has an odds ratio (OR) of 3.188. The conclusion is that salary, co-workers, supervision, promotion and job characteristics influence medical personnel at RSU Sinar Husni Deli Serdang. It is recommended that efforts that need to be made by hospital management are to increase the provision of incentives and rewards for those who are better so that they can motivate them to provide maximum service to patients.    

Mathematics learning has a significant role in student character building, with the main objective of developing logical, rational, critical, creative, systematic, and practical thinking patterns. However, there are still challenges in achieving this goal, such as lack of student interest, learning difficulties, and the availability of adequate resources. This article discusses the role of mathematics learning in students' character building and the importance of integrating mathematics learning with character building. Through a qualitative method with a literature study approach, data were taken from various sources such as journals, books, news, and other scientific research using the Google Scholar database with the keywords mathematics and student character from 2019 to 2024. The results showed that mathematics learning can shape students' character through the development of values such as discipline, honesty, hard work, creativity, curiosity, responsibility, communicative, and independence. Therefore, continuous efforts are needed to improve the quality of mathematics learning, taking into account the needs and interests of students and utilizing available learning technologies and resources. Collaboration between teachers, students, parents and other related parties is also important to create a conducive learning environment that supports students' development in mathematics.

Hospitals are a comprehensive part of social and media organizations whose function is to provide complete health services to the community, both curative and rehabilitative, hospital services reach family and environmental services. The aim of the research is to analyze the influence of health service quality on patient satisfaction in the inpatient room of Melati Perbaungan Hospital. Analytical survey research design with a cross sectional design. The total population of patients treated from June 2023 to August 2023 in the Inpatient Room at Melati Perbaungan Hospital is 167 people. The number of samples was 62 people. The results of the chi square test research show that there is an influence of 8 variables, namely technical competence, human relations, effectiveness, efficiency, continuity, security, human relations and comfort, which have a p-value <α 0.05, meaning that technical competence, human relations, effectiveness, efficiency, continuity, safety, human relations and comfort influence patient satisfaction in the Melati Perbaungan Hospital inpatient room. The results of the multiple logistic regression test are the most dominant comfort variable with an odds ratio (OR) of 18.455, meaning that it influences patient satisfaction 18 times. The conclusion is that the comfort variable is the dominant variable that has the most influence on patient satisfaction in the Melati Perbaungan Hospital inpatient room. It is recommended for hospitals to adopt policies to increase patient comfort in treatment rooms in order to produce optimal satisfaction for patients.