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This study explores key antecedents of turnover intention among employees in the warehouse industry, with a focus on workload, work stress, and job satisfaction. Conducted at CV. Sejati Pati, the research involved 102 respondents selected using a saturated sampling technique. The study applied a quantitative approach, using a structured questionnaire with a five-point Likert scale. Data were analyzed through multiple linear regression using IBM SPSS 27, including classical assumption tests such as normality, multicollinearity, and heteroscedasticity. The results showed that workload and work stress have a positive and significant effect on turnover intention, while job satisfaction has a negative and significant effect. In contrast, compensation and work environment were found to be statistically insignificant. Simultaneously, all variables jointly contribute to explaining 64.9% of the variation in turnover intention. These findings underscore the critical role of managing job demands and psychological pressure while enhancing employee satisfaction to reduce the likelihood of resignation. The research provides empirical insights for human resource management in high-pressure sectors, particularly warehouses, where operational continuity and labor stability are crucial. It also offers practical implications for developing targeted strategies to improve employee retention and foster a more resilient workforce in logistics operations.

The rapid growth of social media as a primary channel for information dissemination has triggered a significant surge in the distribution of hoaxes, potentially damaging social order, instigating mass disinformation, and threatening national security. This research aims to design an intelligent algorithm for hoax detection by integrating a critical thinking approach into Natural Language Processing (NLP)-based text processing. The algorithmic model is built using a combination of linguistic features, argument logic, and cognitive indicators such as the detection of unsubstantiated claims, identification of source bias, and evidence testing. To ensure accountability and transparency of the system, an Explainable AI (XAI) approach is applied so that classification results can be understood by non-technical users. The research results show that integrating critical thinking significantly improves detection accuracy to 93.1%, with an increase in precision and recall for detecting hoaxes based on emotional narratives. Beyond technical aspects, this model aligns with the mandate of Law of the Republic of Indonesia Number 11 of 2008 concerning Information and Electronic Transactions (ITE Law), particularly Article 28 paragraph (1), which prohibits the dissemination of false and misleading news that harms the public. Therefore, this system is not only scientifically relevant but also supports law enforcement and strengthens digital literacy in the post-truth era. These findings are expected to be a strategic contribution to the development of an ethical, critical, and responsible digital ecosystem.

PT. YGI, an automotive manufacturing company, uses the Press Injection GB-36 machine in its production process. However, this machine frequently experiences failures, causing high downtime and reduced production efficiency. This study aims to identify the types of failures, determine the most critical components, and propose a maintenance system using the Reliability Centered Maintenance (RCM) approach. The method used is descriptive qualitative, involving FMEA (Failure Mode and Effect Analysis), Logic Tree Analysis (LTA), and maintenance action selection. Data were collected through observations, historical failure documentation, and interviews. The analysis results indicate that components such as the injection nozzle, heating, and clamping are the most critical, contributing over 80% of total failures based on Pareto analysis and the highest RPN values in FMEA. Proposed maintenance actions include Condition Directed and Time Directed approaches. Additionally, the maintenance system is supplemented with standard operating procedures (SOP) and routine inspection schedules to improve machine reliability and reduce production downtime. This study is expected to enhance the efficiency and productivity of the Press Injection GB-36 machine at PT. YGI through the appropriate implementation of RCM.

This study explores the intricate relationship between theology and philosophy within the framework of Christian apologetics and evangelism, aiming to understand and communicate faith in both rational and contextual ways. Theology, grounded in divine revelation, serves as the foundational source of truth, while philosophy offers critical and analytical tools to interpret, clarify, and logically articulate theological doctrines. Apologetics operates as a dynamic bridge between these disciplines, integrating rational discourse, ethical reflection, and spiritual conviction to defend and proclaim the Gospel effectively in an increasingly pluralistic and intellectually diverse society. This research employs a library-based qualitative approach utilizing descriptive and analytical methods to examine theological and philosophical literature from various academic perspectives. The findings demonstrate that theology, philosophy, and apologetics form an interdependent and complementary framework that not only strengthens evangelism but also enables Christians to present the Gospel message rationally, contextually, and meaningfully amidst the contemporary challenges of faith, culture, and reason.

Logic is an important foundation in mathematics learning because it shapes critical and systematic thinking skills. Introducing the concept of proof early on plays a strategic role in developing reasoning skills, identifying patterns, and providing simple arguments. This article aims to examine the role of logic in mathematics learning by emphasizing the importance of introducing the concept of proof from the outset. The methods used are a literature review of various relevant studies and descriptive analysis based on learning practices in early childhood education. The results of the study show that play, exploration, and concrete experience-based learning activities can improve children's ability to understand cause-and-effect relationships, make predictions, and convey logical reasons. In addition, social interaction and dialogue in the learning process have been proven to strengthen simple reasoning skills. In conclusion, the integration of logic and reasoning from an early age not only supports the development of mathematical abilities, but also builds the foundation for critical and analytical thinking needed for further education.

This community service project was motivated by the limited technical competency among TIK (Information and Communication Technology) personnel in Semarang Regency schools in designing optimal computer network infrastructure. This situation resulted in slow, unstable, and poorly managed digital learning services within these schools. The main objective of this activity was to enhance the competency of 24 TIK personnel to enable them to design efficient, secure, and professional networks tailored to their schools' needs. The solution provided was hands-on training using the UISP Design Center, a web-based network design platform. The training was conducted face-to-face over two days and covered hierarchical topology, VLAN and QoS management, and practical design simulation. Measurement results demonstrated a significant increase in the participants' cognitive competency, evidenced by the average score rising from 45.2% on the pre-test to 82.5% on the post-test. Participants successfully applied these concepts to produce accurate designs for network topology, logical segmentation, and Bills of Materials (BOM). The high level of participant satisfaction confirms the effectiveness of this training in closing the skill gap. This activity successfully enhanced the network planning capability of the partner schools.

This study aims to analyze the improvement of Higher Order Thinking Skills (HOTS) through mathematics learning on the Three-Dimensional Geometry topic in Grade XII of Yayasan Pendidikan Al-Fattah Medan. HOTS is a crucial aspect of 21st-century education because it helps students develop critical, creative, logical, and reflective thinking skills in addressing complex problems. In the context of mathematics learning, particularly in spatial geometry, mastering HOTS not only supports students in understanding abstract concepts but also in applying them to real-life situations. This study employed a descriptive qualitative method with instruments consisting of a pre-test, post-test, and an open-ended questionnaire to explore students’ understanding and learning experiences. The findings revealed a significant improvement, where the average pre-test score of 7 increased to 52.21 in the post-test. This result highlights that the implementation of HOTS-based learning strategies is effective in enhancing students’ comprehension of distance, angles, and point positions in space, while simultaneously strengthening their analytical, evaluative, and creative abilities. The study implies the importance of adopting innovative learning strategies oriented toward HOTS development to improve the quality of mathematics education and prepare students for global challenges.

Community Health Centers (Puskesmas) serve as the frontline for basic healthcare services for the community. However, the services at Waimangura Community Health Center are not yet fully optimal due to several obstacles, particularly in patient data recording, which is essential for registering every individual who visits for health check-ups, registration, and medical record management. Therefore, an information technology-based system is needed to enhance the effectiveness and efficiency of services. This research aims to implement a healthcare service system at Waimangura Community Health Center using the CodeIgniter 3 framework by applying the MVC (Model, View, Controller) method. The MVC method was chosen because it can separate application logic, display, and data management, making the system more structured, easier to develop, and maintaining consistency. The research stages include needs analysis, system design, implementation, and testing. The implementation results show that the built system is capable of assisting officers in patient registration, medical record data management, and information services. Patients also benefit from more transparent and efficient services. Based on the trial results, the system operates according to user needs and can improve the quality of healthcare services at the Waimangura Community Health Center. Thus, the implementation of CodeIgniter 3 with the MVC method has proven effective in building a structured, easily maintainable healthcare service system that can be further developed to support digital-based healthcare services.

This study examines the role of classification, definition, and analogy as logical pillars that constitute the fundamental framework of knowledge. These three instruments of logic are closely interconnected in supporting the process of scientific reasoning. Classification functions to organize objects or phenomena into systematic categories, thereby facilitating identification. Definition provides clear boundaries of meaning to prevent conceptual ambiguity and ensure consistency of interpretation among researchers and practitioners. Meanwhile, analogy serves as a reasoning tool that bridges existing knowledge with new insights through rational comparison. This article employs a descriptive qualitative approach with a literature review of both classical and modern logic theories. The findings indicate that the integration of classification, definition, and analogy not only strengthens the consistency of scientific reasoning but also contributes significantly to education, communication, and the development of interdisciplinary knowledge. Thus, these three pillars of logic hold a strategic position in building a foundation of rationality and promoting the advancement of knowledge that is both comprehensive and applicablee.

Real Analysis is a fundamental course in mathematics education characterized by its deductive and axiomatic structure, which requires logical, systematic, and conceptual understanding. However, many studies have shown that students often face difficulties in grasping abstract concepts and constructing mathematical proofs deductively. Lestari (2015) found that most students were only able to conduct proofs inductively, while their deductive proof skills remained low due to weak prerequisite knowledge and lack of formal reasoning practice. Meanwhile, Darmadi, Sanusi, and Rifai (2024) explained that students’ difficulties in understanding formal definitions and the structure of real numbers indicate the need for a learning approach that emphasizes conceptual comprehension. This article employs a literature review approach to analyze the application of conceptual approaches in helping beginners understand Real Analysis. The results show that a conceptual approach enhances students’ understanding of the meaning behind mathematical symbols and procedures, helps them build connections among concepts such as limits, continuity, and the real number system, and gradually develops their deductive reasoning skills. Therefore, applying a conceptual approach in Real Analysis learning is an essential strategy to help students achieve deep, logical, and meaningful understanding.

In the digital era, YouTube has become a powerful platform for sharing knowledge, shaping perspectives, and encouraging critical engagement. This study explores how multimodal elements—verbal, visual, and audio—construct meaning in the educational video “Kalau Kamu Mau Punya Critical Thinking, Jangan Skip Obrolan Ini!” from the Suara Berkelas channel. Using a qualitative case study approach, the research interprets how these modes work together to support critical thinking. Data were collected through video observation, transcription, and documentation of multimodal features, then analyzed thematically using Kress and van Leeuwen’s multimodal framework and Facione’s critical thinking model. The findings show that the verbal mode structures logical arguments and rhetorical appeals, the visual mode emphasizes meaning through gestures, expressions, and text overlays, while the audio mode builds emotional engagement through tone, pauses, and background music. Together, these modes create a coherent and persuasive discourse that not only informs but also invites viewers to reflect critically. The study contributes theoretically to the understanding of multimodality in digital education and practically provides insights for educators and content creators to design more interactive, reflective, and engaging educational content.

Container loading and unloading procedures are a series of essential operational activities carried out to systematically, safely, and efficiently move containers from ships to the stacking yard or vice versa. This study aims to examine these procedures, analyze the effectiveness of their implementation, and identify the obstacles and corrective efforts encountered in the field. The methods used include field observation (field research) and literature review (library research). The results indicate that the procedural stages involve document preparation (Bill of Lading and Manifest), ship berthing, the utilization of various loading and unloading equipment (such as Gantry Crane, RTG, and Headtruck), and container arrangement within the Container Yard (CY). The process involves three main work stages: Stevedoring, Cargodoring, and Receiving/Delivery, which require close coordination among port operators, foremen, and Stevedoring Workers (TKBM). Implementation can be hindered by crane breakdowns, headtruck limitations, traffic congestion, and slow stevedoring performance. Effective solutions suggested include routine equipment maintenance, increasing HT fleet capacity, enhancing human resource competency through training, and coordinating traffic routes with relevant authorities. Optimal procedure execution is crucial for ensuring smooth logistics flow, time efficiency, and occupational safety.

This study examines in depth the risk factors influencing financial statement fraud in the Indonesian banking sector by employing the Fraud Hexagon framework. This framework comprises six core elements—pressure, opportunity, rationalization, capability, arrogance, and collusion—each representing potential drivers of fraudulent behavior. The study also aims to assess whether institutional investor involvement can serve as a moderating factor capable of reducing the likelihood of fraud. The research uses secondary data derived from the annual reports of banks listed on the Indonesia Stock Exchange (IDX) for the period 2020–2023. Logistic regression analysis is employed to examine the relationships between the Fraud Hexagon variables and financial statement fraud, as well as to test the moderating role of institutional ownership. The findings reveal that, among the six elements of the Fraud Hexagon, only auditor changes (representing rationalization) and political connections (representing collusion) have a significant effect on financial statement fraud. The other elements—pressure, opportunity, capability, and arrogance—do not show a significant impact. Furthermore, institutional investor involvement is found not to moderate the relationship between the Fraud Hexagon elements and financial statement fraud, indicating that external monitoring through institutional ownership remains ineffective in the context of Indonesian banking. These results underscore the importance of closer supervision of rationalization and collusion factors, as well as the need for stronger internal control mechanisms to prevent fraudulent financial reporting. The study’s findings are expected to provide valuable insights for regulators, banking management, and other stakeholders in their efforts to enhance fraud prevention measures in the financial sector.  

Real analysis is one of the main branches of mathematics that serves as a fundamental foundation for the development of science and technology. This study emphasizes the understanding of basic concepts such as real numbers, limits, continuity, the principle of mathematical induction, as well as deductive and axiomatic approaches as a strong framework for mathematical proofs. This research employs the Systematic Literature Review (SLR) method by examining articles and journals related to both the theoretical aspects and the implementation of real analysis in solving mathematical problems. The findings indicate that the application of Polya’s method, visualization through demonstration, and the use of modern technology such as augmented reality (AR) can enhance the effectiveness of real analysis learning. These approaches help students connect abstract concepts with real applications, thereby strengthening logical, systematic, critical, and rigorous thinking skills. However, several learning difficulties are also identified, including the complexity of the material, weak learning habits, social influences, and inappropriate teaching strategies. Therefore, more applicative, interactive, and contextual learning strategies are needed to support the achievement of learning objectives. The conclusion of this review highlights that the integration of theoretical understanding, problem-solving methods, and innovative technology is a strategic step to improve students’ thinking quality in real analysis courses. Thus, real analysis is not only positioned as a theoretical subject but also as a medium for developing problem-solving abilities and higher-order thinking skills that are relevant to both academic needs and real-world applications.

This study aims to examine the effect of financial ratios on financial distress in transportation and logistics sector companies listed on the Indonesia Stock Exchange (IDX) during the 2019–2024 period. The research employed a documentation method by collecting secondary data from the companies’ financial statements within the observed period. The financial ratios analyzed include profitability, liquidity, leverage, and activity. The level of financial distress was measured using the Altman Z-Score method. The sample was selected using a purposive sampling technique, consisting of 22 companies observed over six years. Data analysis was conducted using panel data regression with the assistance of EViews 12, with the selected model being the Fixed Effect Model (FEM). The partial test results indicate that profitability, liquidity, leverage, and activity ratios do not have a significant effect on financial distress. However, the simultaneous test results show that the four variables together significantly affect financial distress. These findings suggest that financial ratios cannot serve as a single indicator in assessing a company’s financial distress. Nevertheless, when used collectively and combined with the Altman Z-Score measurement, they can provide a more accurate assessment of a company’s financial distress condition.

This study aims to analyze the effect of changes in interest rates, exchange rates, economic growth, and world oil prices on stock returns in the transportation and logistics sector in Indonesia during the period 2006–2024. This sector was chosen because it is highly vulnerable to fluctuations in macroeconomic factors that have a direct impact on companies' operating costs and financial performance. The method used is multiple linear regression with an annual panel data approach, using a sample of transportation and logistics companies listed on the Indonesia Stock Exchange. The independent variables include changes in interest rates, exchange rates, economic growth, and oil prices, while the dependent variable is stock returns. The results show that, partially, only changes in interest rates have a significant negative effect on stock returns. Conversely, exchange rates, economic growth, and oil prices have no statistically significant effect. Simultaneously, these four variables also show no significant effect on stock returns. This study makes a new contribution through the use of a long observation period and a focus on the transportation and logistics sector, thereby providing a deeper understanding of this sector's sensitivity to macroeconomic conditions.

Background: Traditional naval maintenance strategies rely on centralized supply chains and pre-manufactured spare parts, leading to long repair downtimes and logistical inefficiencies, particularly for vessels operating in remote maritime regions. Additive manufacturing (3D printing) offers a disruptive alternative by enabling on-demand production of spare parts, reducing dependence on external suppliers, and enhancing fleet self-sufficiency. However, material durability, operational feasibility, and cost-effectiveness remain underexplored for naval applications. Original Value: This research advances the study of AM in naval engineering, assessing its practical viability beyond theoretical potential. Unlike previous studies focusing on commercial maritime applications, this study evaluates 3D printing’s impact on naval fleet readiness, supply chain resilience, and sustainability. Objectives: The study investigates how 3D printing can optimize naval maintenance efficiency, specifically analyzing its feasibility, material performance, cost implications, and logistical advantages. Methodology: A qualitative-empirical approach was used, combining material performance testing, expert interviews, and operational case studies to evaluate mechanical durability, economic feasibility, and AM integration challenges. Results: Findings indicate that AM reduces repair downtime by 40%, lowers part procurement costs by 30–50%, and enhances supply chain resilience. However, material limitations and infrastructure readiness remain key adoption challenges. Conclusions: Hybrid AM adoption—where 3D printing supplements rather than replaces traditional manufacturing—offers the most practical near-term approach for naval fleets. Strategic investment in material research, onboard AM training, and fabrication infrastructure will enhance fleet efficiency, reduce environmental impact, and future-proof maritime maintenance strategies.

This study aims to analyze the strategic role of the shipping agent, specifically PT. Naval Global Trans Belawan Branch, in ensuring the smooth flow of the maritime logistics chain. The shipping agent functions as a crucial intermediary coordinating contasiner distribution, bridging the interests of cargo owners, shipping companies, and the Belawan Port authority. The research utilizes a descriptive qualitative approach, with data collection performed through field observation and documentary study within the Belawan Port environment. The findings identify that the shipping agent holds broad responsibilities, commencing with container booking according to the required type and size, scheduling vessel arrivals and departures, managing customs and port documentation, and monitoring container movements (from the depot to loading onto the vessel). This role is highly instrumental in determining port throughput efficiency. However, in carrying out its functions, the shipping agent encounters several significant challenges. These constraints include limited container availability, disruptions in the port information system which is not yet optimally integrated, and dynamic changes in export-import regulations. These obstacles potentially cause operational delays and an increase in logistics costs. The study concludes by emphasizing the importance of better information technology integration between the shipping agent and the port authority. Furthermore, enhancing the quality of human resources (HR) through training and certification is key to ensuring that agents can respond to regulatory changes and operational challenges quickly and professionally.

Cervical cancer is a malignant tumor that grows in the cervix caused by infection with the Human Papilloma Virus, acquired through sexual intercourse. Indonesia ranks 8th in the highest incidence of cancer in Southeast Asia, the highest prevalence of cancer is Yogyakarta Province where Sleman Regency ranks the highest IVA positive at 2.5% and Halis IVA at the Pakem Health Center is suspected of cervical cancer reaching 13 out of 22 positive IVA results. This achievement is still very low, because there is still low public awareness to carry out early detection of cervical cancer. To determine the relationship between attitude and behavior for early detection of cervical cancer. Quantitative research with a Case Control approach. A sample of 160 women with a proportional sampling technique. Data collection was in the form of filling out questionnaires online using Google Forms with chi square test data analysis and logistic regression. There was a relationship between positive attitude p-value=0.017 and OR of 3.462, women aged >35 years p- value=0.038, multipara parity p-value=0.007, with early detection behavior of cervical cancer. Parity provided a great chance of 7,038 times that women performed early detection behaviors of cervical cancer (CT 95%= 0.187-264,350). To improve early detection examinations, health workers can design health education and promotion models, increase educational socialization to cadres, the public and the community continuously and sustainably.

Refusal of Visual Inspection with Acetic Acid (VIA) examination remains a major challenge in cervical cancer early detection, particularly among women of reproductive age. This study aimed to analyze factors influencing refusal of VIA examination among women of reproductive age in Beringin Jaya Village, Oba Tengah District. A quantitative analytic study with a cross-sectional design was conducted involving 74 respondents. Data were collected using a structured questionnaire assessing educational level, knowledge, information, and the role of health workers. Data analysis included univariate analysis, bivariate analysis using the Chi-Square test, and multivariate analysis using ordinal logistic regression.The results showed that most respondents refused or hesitated to undergo VIA examination. Bivariate analysis demonstrated that educational level, information, and the role of health workers were associated with refusal of VIA examination, while knowledge level showed a tendency toward association. However, multivariate analysis revealed that only the role of health workers had a statistically significant effect on refusal of VIA examination. Educational level, knowledge, and information were not significant predictors after adjustment.These findings indicate that service-related factors, particularly the role of health workers, are more influential than individual factors in shaping decisions regarding VIA examination. Strengthening health workers’ roles through effective communication and interpersonal counseling is essential to improve VIA examination uptake.