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This research, entitled “Implementation of a Web-Based Student Tuition Payment Information System at SMA Swasta Manda Elu,” aims to improve the efficiency of recording and managing students’ tuition fee payments. Previously, the tuition payment process was handled manually, which often led to recording errors, delays in reporting, and difficulties in retrieving student payment data. To address these issues, a web-based information system was developed to assist the school administration in recording, reporting, and monitoring tuition payments more effectively and efficiently. The development method used in this study is the Model View Controller (MVC) approach, which separates the system’s view, logic, and database layers to simplify system management and maintenance. The final result of this research is a web-based tuition payment application that runs properly, provides convenience for school administrative staff in recording transactions, and enhances the accuracy and speed of the school’s financial administration process at SMA Swasta Manda Elu.

The DC motor serves as the main drive of the vessel and is equipped with a rotary encoder that functions to regulate the movement of the sensor in measuring sediment levels. This rotary encoder is also used to monitor and represent the rotational speed of the DC motor. System testing was carried out by implementing a Fuzzy Logic Controller (FLC) algorithm to control the DC motor speed in moving the vessel, ensuring stable motion. This fuzzy logic–based approach is expected to improve accuracy and efficiency in sediment volume calculations, while also reducing potential errors that commonly occur in manual methods. Simulating motor speed control using the fuzzy logic algorithm in MATLAB, the best test results were achieved over several trials, with a rise time of 376.310 ms and an overshoot of 83.33%. Motor speed measurements using both a tachometer and Arduino produced consistent results, with an average relative error of 0.18%.

This study analyzes failures in the bending machine at PT. XYZ and determines maintenance priorities to reduce downtime and improve production efficiency. The company often faces repeated breakdowns, especially in hydraulic and control components, which negatively impact productivity. To address these issues, the research applies Failure Mode and Effect Analysis (FMEA) and Fault Tree Analysis (FTA). The study employs a descriptive qualitative approach using downtime and repair data from September 2024 to February 2025. FMEA was conducted to identify failure modes, effects, and causes, and to calculate the Risk Priority Number (RPN) as a basis for prioritization. FTA was then applied to trace root causes by mapping logical relationships among contributing factors leading to the top event. Recommendations were formulated with the 5W+1H method to propose preventive maintenance actions. The results indicate that the hydraulic valve is the most critical component, with an RPN value of 504 due to oil contamination. The main causes include damaged filters, improper oil usage, and lack of a cooling system. The hydraulic cylinder seal and back gauge were also found to contribute significantly to machine failures. FTA analysis revealed root causes such as inadequate maintenance procedures, unsuitable materials, and insufficient inspections. The proposed improvements involve regular replacement of oil filters, structured lubrication schedules, installation of oil coolers, and technician training to strengthen compliance with standard procedures. Overall, the integration of FMEA and FTA provides a systematic approach to identify critical components and root causes, enabling PT. XYZ to implement preventive strategies that minimize failures, reduce downtime, and improve bending machine performance sustainably.

This research seeks to evaluate how asset and logistics management innovation enhances operational efficiency in the Household Division of the East Java Provincial Secretariat. The study focuses on the bureaucratic reform initiative aimed at attaining transparent, accountable, and effective asset management via digital transformation. The emphasis lies on how digital inventory systems, purchasing methods, and asset allocation aid in minimizing budget waste and improving efficiency. This research utilized a qualitative descriptive strategy through a case study technique. Data were gathered via extensive interviews, direct observation, and analysis of internal documents, subsequently undergoing data reduction and triangulation to confirm validity. The results indicate that the adoption of the e-inventory system has enhanced administrative efficiency by as much as 30%, but issues persist with data integration and employee digital skills. Additionally, the lack of a real-time public monitoring system restricts transparency in logistics management. The research advises enhancing employee training, creating cohesive SOPs, and adopting technology-driven assessment systems. These actions are anticipated to promote effective, efficient, and sustainable asset management in the East Java Provincial Secretariat.

This study aims to analyze the e-invoice creation procedure in the management of “zak” cement transportation at PT Semen Indonesia Logistik (SILOG), as part of the digital transformation in the billing system based on the urgency of the company's need for a more efficient and accurate billing system to reduce the risk of late payments and improve operational efficiency. This study uses a descriptive qualitative approach with data collection techniques through in-depth interviews, direct observation, and documentation of four informants involved in the e-invoice creation process. The e-invoice creation procedure at SILOG involves the integration of the CSMS, FIOS, SAP, and PORTAL systems. The results of the study indicate that the implementation of e-invoices brings a number of advantages such as accelerating the billing process, time efficiency, reducing dependence on physical documents, and increasing data accuracy through a computerized system. However, this study also found significant technical constraints, especially in the accuracy of geofence data and unloading destinations that impact the validity of e-invoices. The FIOS system that is not yet optimal causes vehicle location data to sometimes not match the unloading point that should be. This constraint requires additional manual processes that can hinder the effectiveness of the system. Therefore, this study recommends improving the information system and technical training for users to reduce errors and increase the effectiveness of e-invoice use as a whole.

This study investigates the algebraic reasoning processes of university students when expanding mathematical expressions in the context of nonroutine problem-solving. The research adopts a qualitative approach to explore how students interpret algebraic structures, apply symbolic transformations, and construct logical explanations while working through unfamiliar tasks. Data were collected through written tests, task-based interviews, and detailed analysis of students’ solution strategies. The findings reveal significant variation in students’ ability to generalize patterns, recognize structural relationships, and justify algebraic procedures. Students with strong conceptual understanding demonstrated flexible reasoning, coherent explanations, and appropriate use of algebraic properties. In contrast, students who relied heavily on procedural rules often struggled with symbolic manipulation, produced fragmented reasoning, and exhibited misconceptions related to variables and distributive operations. These results highlight the importance of fostering conceptual understanding, metacognitive awareness, and reasoning-oriented instruction in university mathematics. The study provides insights for educators seeking to design learning environments that promote deeper algebraic thinking and enhance students’ ability to solve complex, nonroutine problems.

The development of digital technology has transformed how institutions communicate with the public, including the Maritime and Logistics Education Corporation of Indonesia (PT PMLI). This study is motivated by the strategic role of Cyber Public Relations in building institutional image in the digital era. The research focuses on how PT PMLI implements Cyber PR strategies to establish its institutional image. The objective is to identify the strategies applied and how the image is built in digital spaces. This study employs Ronald D. Smith’s Cyber PR Strategy Theory and Veljkovic’s Institutional Image Theory, using a qualitative descriptive method through in-depth interviews with five internal and external informants. The findings show that PT PMLI conducts situation analysis and audits using a SWOT approach, with strengths in digital integration and proactive approaches, and weaknesses in limited human resources and state-owned enterprise regulations. Opportunities come from digital innovation and external collaboration, while threats include the spread of hoaxes and sensitive data exposure. The strategic objectives focus on increasing audience engagement through interactive and educational content, as well as maintaining online reputation through consistent and responsive communication. PT PMLI utilizes its website and social media platforms Instagram, TikTok, and YouTube and develops trend-based content evaluated through media plans and engagement indicators.

Sustainability reporting has been increasingly popular in recent years as businesses become more aware of environmental challenges. 96% of the top businesses in the world have implemented sustainability reporting practices, according to a KPMG survey. The effect of sustainability reporting practices on environmental performance is examined in this study. Sustainability reports, the implementation of GRI standards, and external assurance are used to gauge sustainability reporting procedures; firm size is used as a control variable. In this study, 305 observational data from manufacturing firm over a five-year period (2018-2022) were analysed quantitatively using binary logistic regression. The findings indicate that while the use of GRI standards has a positive and significant effect on environmental performance, sustainability reports and external assurance have no significant effect. These findings show that the implementation in GRI standards encourages business commitment to sustainable practices and transparency, both of which have a significant impact on environmental performance. In the meanwhile, external assurance and sustainability reports tend to be mostly symbolic and do not demonstrate a real commitment to environmental improvement. Environmental performance is positively impacted by the control variable, firm size. These findings suggest that a company's environmental performance is correlated with its size. As a control variable, firm size contributes to maintaining and clarifying the relationship between environmental performance and sustainability practices while ensuring objective and valid study findings. This study emphasizes the importance of strengthening the quality of sustainability reporting and expanding the application of external standards and assurance to improve the credibility and accountability of corporate environmental performance in Indonesia.

Decision Support Systems (DSS) can become inaccurate when used with imprecise, incomplete, or dynamically changing data. Fuzzy logic techniques based on conventional methodologies may be strong at handling vagueness, but are unable to adapt their behavior in response to different data distributions on their own. This paper recommends the creation of an Adaptive Fuzzy Logic Integration Framework that dynamically updates membership functions and rule weights in response to data variation to enhance decision accuracy under uncertainty. The described framework combines Fuzzy Inference Systems (FIS) with learning-based parameter update concepts borrowed from adaptive optimisation. The model was simulated and executed on a hybrid algorithmic platform that included gradient-based parameter tuning and iterative feedback learning. Experimental tests were conducted on uncertainty-generated data sets to compare adaptive and conventional fuzzy models in terms of ISME (Root Mean Square Error), convergence stability, and decision accuracy. Previous results show that the adaptive model achieves a 21.4% increase in accuracy and a 28% improvement in convergence rate compared to non-adaptive fuzzy systems. Moreover, the model ensures stable performance even in the presence of random data perturbations, demonstrating its ability to handle uncertainty. This book incorporates a self-tuning fuzzy decision model that converts static inference structures to dynamic evolving decision engines. The outcomes establish a foundation for next-generation smart DSS for real-time optimization in uncertainty.

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.

PT Salam Pacific Indonesia Lines Medan branch is a large-scale domestic shipping company that provides logistics and sea transportation services, particularly inter-island container shipping throughout Indonesia. This paper discusses how efficiency is applied to direct container activities at the Medan branch. The work stages begin with the accurate identification of tentative cargo. Direct officers first obtain data on the number of containers from the depot head, including the prefix, condition (grade), and size of the containers to be processed. After that, officers check the completeness of documents and conduct physical checks in accordance with company operational regulations. If all requirements are met, containers are directed for direct shipping based on Customer requests and the tentative ship loading schedule that has been set. Next, officers issue an SP2 or Container Delivery Letter as a requirement for entering the port gate. With this flow, the process can support the efficiency of the container cycle in the empty container handling system. However, obstacles are still found, such as complex administrative processes, missing documents, and information that has not been communicated properly. Therefore, intensive coordination with the authorities is needed so that direct activities run smoothly. This paper uses field observation and literature study methods to obtain relevant data.

Currently, the issuance of Law Number 3 of 2022 concerning the National Capital is a concrete step taken by the Government to seek the relocation and development of a new National Capital, because economic growth has so far been considered too Java-centric by some in the community. However, it cannot be denied that after the issuance of this law it triggered new problems, including the problem regarding the position of the Head of the Archipelago Capital Authority. Therefore, through this research, we will answer issues related to the position of the Head of the Archipelago Capital Authority along with the logical consequences related to his role based on the regional government system. Normative legal research methods or what is usually called doctrinal legal research, the approaches used are the statutory approach and the conceptual approach. The research results show that the position of the Head of the Nusantara Capital Authority is as head of a special regional government at the provincial level. The logical consequences received from this regulation are that the election, appointment and dismissal are carried out directly by the President as per the President's prerogative, the regions are centralized, and there is no Regional People's Representative Council (DPRD) as an instrument of regional autonomy.

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.

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 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.

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.