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This study aims to analyze in-depth the process of handling special livestock cargo agency for cattle on the MV Gloucester Express ship, as well as to identify the efforts and coordination carried out with relevant agencies to ensure the efficiency and effectiveness of services while the ship is in the unloading port. The research method used is descriptive qualitative. Data was collected through field research with participatory observation techniques during the fieldwork period at PT. Bahari Eka Nusantara, supported by library research to strengthen the theoretical foundation regarding ship agency management and special cargo regulations. The research findings show that the process of handling special livestock cargo agency at PT. Bahari Eka Nusantara is well-structured, involving the preparation of detailed supporting documents, starting from the ship's arrival report to its departure. The efficiency of the service heavily relies on tight coordination with port authorities (KSOP and Animal Quarantine) and compliance with applicable technical policies. However, technical obstacles were found, such as the unpreparedness of cargo documents from the shipper and coordination issues during docking. Improvement efforts are being made through enhanced digital communication and accelerated document validation before the ship's arrival to minimize waiting time at the port.

In this era of ongoing digitalization, the use of information technology in records management is becoming increasingly crucial to ensure work efficiency and effectiveness. This study aims to examine the implementation of a dynamic archive storage system in the General Ledger Accounting Division of PT KPN Plantation. Specifically, this study identifies the obstacles encountered and analyzes the efforts made to overcome these challenges. Using a qualitative approach, primary data was collected through observation, interviews, and documentation studies with informants from General Ledger Accounting employees. Data analysis was carried out through a series of processes, including data collection, data reduction, data presentation, and conclusion drawing. The results of the study show that although the stages of archive management have been carried out systematically through a combination of physical procedures and digitization using E-Archive, its implementation still faces significant obstacles. The problems identified include managerial aspects such as high transaction volumes that cause document backlogs and space limitations, technical aspects such as the instability of the E-Archive system, and limited human resources with expertise in archiving. Collectively, these obstacles reduce the effectiveness and efficiency of the system, requiring a comprehensive and integrated improvement strategy to achieve reliable and sustainable archive management

Online transportation services have become an important part of student life because they provide ease of access, time efficiency, and mobility flexibility. The Gojek application is one of the most frequently used services by students in Medan City to support academic and non-academic activities. This study aims to analyze students' experience in using the Gojek application and its effect on the effectiveness of the application in online transportation services. The research method used was a quantitative approach with survey techniques through a Likert scale questionnaire (1–5) to 50 students who were active users of Gojek. Data were analyzed using descriptive statistics and simple linear regression. The results showed that user experience (UX) was in the category of quite good with an average value of 3.58, while the effectiveness of the application was in the category of quite good with an average of 3.47. The reliability test showed Cronbach's Alpha values of 0.935 (UX) and 0.951 (Effectiveness), which means the instrument is very reliable. The results of the regression analysis showed that user experience had a positive and significant effect on the effectiveness of the application (β = 0.961; R² = 0.881; p < 0.001). Thus, the better the student experience in using the Gojek application, the higher the effectiveness felt in online transportation services. These findings confirm that improving the quality of user experience is a key factor to maintain and increase the effectiveness of online transportation applications among students.

The digital transformation era demands printing companies to strategically integrate information technology to enhance efficiency and competitiveness. CV Prima Puspasari still faces several challenges in business process management, such as unintegrated workflows, manual record-keeping, and limited utilization of information systems. This study aims to develop an Information Systems Strategic Planning (ISSP) using the Ward & Peppard method as the main analytical framework. The approach analyzes business and technology conditions through four domains: internal and external business environments, as well as internal and external IS/IT environments. The analysis combines SWOT Analysis, Value Chain Analysis, and the McFarlan Strategic Grid to identify strengths, weaknesses, opportunities, threats, and to determine application priorities. The results produce three main strategies: IS/IT business strategy, IS/IT management strategy, and IT infrastructure strategy. The recommended systems include Inventory Management System, Customer Relationship Management (CRM), Integrated Financial System, Human Resource Information System (HRIS), E-Procurement, and E-Commerce. This strategic planning is expected to serve as a roadmap for CV Prima Puspasari in implementing digital transformation, improving operational effectiveness, and strengthening its competitive advantage in the digital printing industry.

This study aims to examine and compare various findings from previous research on the effectiveness of online learning among university students in higher education settings in order to obtain a comprehensive general conclusion. The research method employed is a literature review using a content analysis approach of scholarly publications published between 2019 and 2025. The data sources include relevant national and international journal articles focusing on online learning in higher education. The results of the review indicate that the effectiveness of online learning is influenced by three interrelated main factors. Psychological factors include learning motivation, students’ perceptions of online learning, and the emotional conditions experienced during the learning process. Pedagogical factors encompass lecturers’ creativity in designing learning activities, the selection of appropriate teaching methods, and the use of interactive and varied learning media. Meanwhile, technical or environmental factors include the availability and ease of access to learning platforms, the quality of internet connectivity, and supportive learning environments. Online learning offers several positive impacts, such as flexibility in learning time, cost efficiency, and enhanced student experience in utilizing digital technology. However, it also has the potential to generate negative effects, including boredom, stress, and difficulties in understanding course material when technical barriers are not resolved and learning activities are monotonous. Therefore, optimal management of psychological, pedagogical, and technical factors is essential to improve the effectiveness of online learning for university students.

The Local Currency Settlement (LCS) initiative is a strategic instrument to promote ASEAN regional financial integration while reducing dependence on the US dollar in trade and investment transactions. Sub-regional cooperation between Indonesia, Malaysia, and Thailand has become an important policy arena to test the effectiveness of LCS as part of the implementation of the ASEAN Economic Community (AEC) Blueprint 2025. This article aims to analyze the role, opportunities, and challenges of LCS implementation within the framework of ASEAN financial integration, focusing on the dynamics of cooperation between the three countries. The research uses a qualitative approach through literature review and policy analysis. Data were obtained from official central bank documents, regional cooperation agreements, international agency reports, and academic literature related to financial integration and regional monetary cooperation. The analysis was conducted descriptively and analytically to identify implementation patterns, structural barriers, and policy implications. The results of the study indicate that LCS contributes to increasing the efficiency of cross-border transactions, reducing exchange rate risk, and strengthening sub-regional ASEAN financial cooperation. However, its implementation remains limited due to differences in financial infrastructure readiness, variations in domestic regulations, and low adoption by business actors. This article emphasizes the importance of policy coordination, regulatory harmonization, and private sector involvement to optimize the role of the LCS in supporting ASEAN financial integration.

The increasing demand for rapid software delivery has led to the widespread adoption of Continuous Integration (CI) and Continuous Deployment (CD) pipelines. These pipelines automate the processes of code integration, testing, and deployment, significantly improving the speed and reliability of software development. However, traditional CI or CD pipelines often overlook security testing, leading to vulnerabilities in the deployed software. To address this gap, this study proposes an integrated framework that embeds automated security testing within the CI or CD process. The framework incorporates security testing tools such as Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), and Vulnerability Assessment and Penetration Testing (VAPT) to ensure continuous security checks throughout the development lifecycle. The experimental results show that the proposed framework enhances early vulnerability detection, with detection rates increasing from 30% to 70%. Additionally, the framework reduces deployment failures from 50% to 20%, demonstrating its effectiveness in improving software dependability. While the integration of automated security testing adds a slight 5% increase in pipeline execution time, this minimal impact does not significantly affect the overall speed of the pipeline. The proposed approach successfully balances security and efficiency, ensuring that software is both secure and delivered at high speed. This research highlights the importance of integrating security into CI or CD pipelines and demonstrates that it is possible to achieve high security without sacrificing the speed of software development. The study also discusses the practical implications for software development teams and suggests areas for future research, including the integration of advanced AI-driven security testing tools and the expansion of the framework's applicability across different software projects.

 Autonomous robot navigation in dynamic and unstructured environments remains a critical challenge due to unpredictable obstacles, sensor uncertainty, and limited adaptability of traditional planning algorithms. Although conventional navigation methods such as graph-based, potential field–based, and sampling-based approaches have been widely adopted, their performance under real-time dynamic conditions is still constrained. This study aims to design and implement a comprehensive experimental framework to evaluate the effectiveness and limitations of conventional navigation algorithms for autonomous mobile robots operating in dynamic unstructured environments. The research adopts an experimental and comparative methodology by implementing A*, Dijkstra, Artificial Potential Field (APF), and Rapidly-Exploring Random Tree (RRT) algorithms in simulated static and dynamic scenarios. Performance is assessed using quantitative metrics including path length, computation time, success rate, collision rate, and path smoothness. The experimental results demonstrate that graph-based algorithms achieve high success rates and optimal path efficiency in static environments but exhibit limited adaptability to dynamic changes. APF offers fast computation but suffers from high collision rates due to local minima, while RRT shows better adaptability in dynamic environments at the cost of longer and less smooth paths. These findings confirm that conventional navigation methods are insufficient for robust autonomous navigation in highly dynamic and unstructured environments. The study highlights the necessity of adaptive and learning-based navigation frameworks, such as deep reinforcement learning, to enhance real-time decision-making, robustness, and autonomy in future robotic systems.

This study investigates the integration of high performance communication protocols with adaptive signal processing engines in multi-core systems, aiming to enhance scalability, throughput, and inter-core communication efficiency. The challenges inherent in traditional multi core architectures, such as communication overhead, latency, and scalability limitations, are addressed through the incorporation of Network-on-Chip (NoC) architectures and adaptive signal processing techniques. By using a multi-core digital signal processing (DSP) platform, the study evaluates the performance improvements achieved by this integration under varying workloads and core configurations. The experimental results show a 35% improvement in throughput and a 25% reduction in communication latency, highlighting the effectiveness of adaptive communication protocols in managing data traffic between cores and reducing bottlenecks. The integration of NoC architecture facilitates parallel data transfers, while adaptive signal processing engines ensure that data flows more efficiently across the cores, enhancing system responsiveness, especially under high data rate conditions. Furthermore, the study explores the scalability of the proposed system, demonstrating its ability to maintain high performance as core counts increase. The findings emphasize the potential of combining advanced communication protocols with adaptive signal processing for optimizing multi-core system performance. Practical implications of this research include the design of scalable, flexible, and efficient multi core architectures suitable for complex, data-intensive applications. Future research should focus on further refining communication protocols and exploring additional integration strategies to enhance the adaptability and scalability of multi-core systems in next-generation computing environments.

This study focuses on analyzing the application of cloud computing as a supporting infrastructure for digital transformation in the implementation of Smart City at the Communication and Information Agency (Diskominfo) of Muara Enim Regency. In the era of digital transformation and accelerated urbanization, the need for smart city management based on information technology has become increasingly urgent. Cloud computing plays a strategic role in providing integrated, scalable, and efficient data services to support the effectiveness of public services and data-driven decision-making. This study aims to analyze the extent to which cloud computing has been implemented in the Muara Enim Diskominfo environment, identify the supporting and inhibiting factors of its implementation, and evaluate its contribution to the achievement of Smart City objectives. This study uses a comparative approach with data collection techniques through interviews, observation, and documentation studies. The results of the study show that the implementation of cloud computing at the Muara Enim Communication and Information Agency is still in the development stage, with positive achievements in data management efficiency and inter-unit collaboration, but facing obstacles in terms of system integration and human resources. This research contributes to strengthening academic understanding of cloud computing implementation strategies in the context of local government, as well as providing practical recommendations for policy makers to improve digital infrastructure readiness towards a sustainable Smart City.

The use of Information Systems and Information Technology (IS/IT) is a crucial factor in improving the efficiency and accuracy of retail sector operations. PT XYZ, a retail-level staple goods provider, has implemented IS/IT to support sales recording, inventory management, security, and operational reporting. This study aims to assess the effectiveness, efficiency, security, and compliance of the information system used. The audit was conducted through observation, interviews, document review, and system testing, referring to the COBIT framework and the ISO/IEC 27001 standard. The audit results indicated that the system supported core operational functions, but weaknesses remained, including insufficient system documentation, limited access controls, and suboptimal data security and backup mechanisms. Furthermore, reliance on manual procedures has the potential to lead to errors and slow down service delivery. Therefore, system improvements, strengthening security controls, developing standard operating procedures, and enhancing the competency of human resources and IT infrastructure are needed. This audit is expected to support improved service quality and secure, effective, and sustainable IT governance at PT XYZ.

The integration of Customer Relationship Management (CRM) and Enterprise Resource Planning (ERP) systems has emerged as a critical strategy for modern digital enterprises aiming to enhance customer experience and operational efficiency. This study examines the impact of CRM-ERP integration on customer satisfaction, personalized service, and organizational responsiveness. By adopting a mixed-methods approach, this research combines quantitative customer data analysis and qualitative managerial interviews to assess the benefits and challenges of CRM-ERP integration. Key findings highlight significant improvements in customer experience, with increased satisfaction and personalized interactions facilitated by a unified view of customer data. Operational efficiencies were also realized through streamlined processes, better alignment of departments, and enhanced decision-making based on real-time, data-driven insights. Despite these positive outcomes, challenges such as system integration complexities, data fragmentation, and resistance to change were identified, which hindered the speed of integration and full utilization of the systems. This study demonstrates that CRM-ERP integration provides a competitive advantage by improving both customer service and business agility, particularly in industries undergoing digital transformation. For digital enterprises, integrating these systems is crucial for maintaining a seamless customer experience across various touchpoints and achieving greater operational effectiveness. The paper concludes by suggesting future research on the long-term impact of CRM-ERP integration on customer loyalty, business growth, and the potential role of emerging technologies like AI and blockchain in further enhancing these systems.

This study examines the impact of IT-driven innovation management on IT service effectiveness and competitive value creation within smart organizations. As digital transformation accelerates across industries, organizations are increasingly leveraging advanced IT solutions to enhance service delivery, responsiveness, and customer satisfaction. While traditional IT service management (ITSM) models focus on efficiency and structured processes, the integration of innovation management introduces new opportunities to improve service quality and operational agility. Through a quantitative research design, this study employs regression modeling to assess the relationship between IT-driven innovation management and two key outcomes: IT service effectiveness and competitive value creation. Data were collected from 100 technology-intensive organizations that actively integrate innovation into their IT service management processes. The results demonstrate that IT-driven innovation significantly enhances service quality, customer satisfaction, and organizational competitiveness. Furthermore, a curvilinear relationship was identified, indicating that while moderate innovation leads to improved outcomes, excessive innovation may have diminishing returns. These findings highlight the importance of balancing innovation efforts with business goals to achieve optimal performance. The study also compares innovation-driven IT service management with traditional models, illustrating how innovation fosters agility, responsiveness, and long-term value creation. The implications for smart organizations are clear: integrating innovation into IT service management is essential for maintaining a competitive edge in the rapidly evolving digital landscape. Future research should explore the long-term impact of innovation management on organizational sustainability and growth, considering external factors such as market volatility and technological disruptions.

The increasing complexity and scale of modern cybersecurity threats necessitate the development of advanced systems capable of efficiently detecting, analyzing, and mitigating incidents in real time. This paper proposes an automated framework for digital forensics and incident response that leverages big data analytics and real time network traffic profiling. The framework integrates cutting-edge technologies, including Apache Spark for real time data processing and Hadoop for scalable data storage, combined with machine learning models like LSTM and Autoencoders to detect anomalies and threats in network traffic. By automating the process of incident detection and response, this framework significantly reduces the time required to identify threats and improves the accuracy of forensic evidence correlation across heterogeneous network environments. The study highlights the advantages of using machine learning models and big data tools to address the limitations of traditional manual and semi-automated systems, which often struggle to keep pace with large-scale data generation. Testing results demonstrate that the proposed framework can handle large data volumes efficiently, providing real time, actionable insights with significantly reduced response times. Additionally, the framework improves forensic analysis by enabling the correlation of evidence from different devices and protocols, making it more effective than traditional methods in identifying the root cause of security incidents. However, challenges related to data heterogeneity, scalability, and system integration were encountered during testing. The proposed framework holds promise for significantly enhancing the efficiency and effectiveness of cybersecurity operations, with future work focusing on further integration of advanced AI techniques and machine learning models for dynamic and adaptive incident response.

Digital transformation (DT) has become a critical component for organizations aiming to enhance their operational efficiency, innovation, and competitiveness. However, many organizations struggle to achieve successful digital transformation due to the misalignment between their Enterprise Information Systems (EIS) and organizational strategic goals. This research seeks to design and validate a model for aligning EIS with digital transformation strategies to improve organizational effectiveness. By adopting the Design Science Research (DSR) approach, this study develops a practical model that integrates strategic planning, process management methodologies, and emerging technologies to facilitate alignment between IT and business strategies. The research includes key steps such as requirement analysis, artifact design, expert validation, and case study evaluation to ensure the model's robustness and applicability across different organizational contexts. Findings indicate that the proposed model significantly improves strategic-system alignment, enhances decision-making consistency, and facilitates better integration between business and IT units. The model also addresses common challenges such as resistance to change, skill gaps, and misalignment, fostering a supportive culture for digital transformation. In comparison to existing descriptive frameworks, the proposed model is more structured, adaptable, and actionable, providing organizations with a clear framework to guide their digital transformation efforts. This research contributes to the growing body of knowledge on EIS alignment and offers practical insights for organizations seeking to achieve successful digital transformation. Future research could explore the model's application in various organizational settings and examine its impact on long-term organizational growth and innovation.

In the context of both public organizations and Small and Medium Enterprises (SMEs), inefficient business processes remain a significant challenge. Fragmented information systems often hinder the optimization of these processes, leading to slower decision-making, redundant efforts, and increased operational costs. This study aims to analyze and optimize business processes by utilizing integrated information systems (IIS), providing a comparative analysis between the two sectors. The theoretical framework explores key theories such as Business Process Management (BPM) and the integration of information systems for process optimization. Previous studies highlight the differences in how IIS implementation impacts the public and SME sectors, noting challenges such as data silos, legacy systems, and resistance to change. A case study analysis methodology was employed to assess the effectiveness of IIS across both sectors. Business Process Modeling (BPMN) was used to visualize business processes before and after optimization, and process performance was measured through key metrics such as time reduction, error rates, and cost efficiency. The results show that IIS integration improved business process efficiency by an average of 28%, with reductions in redundancy and faster decision cycles observed in both sectors. Public organizations benefited from enhanced service delivery and better resource management, while SMEs gained competitive advantages through streamlined operations and increased responsiveness to market demands. The comparison reveals that integrated systems had a greater operational impact than traditional isolated process reengineering methods. Public organizations faced more regulatory and governance challenges, while SMEs leveraged their flexibility for faster integration. Recommendations for both sectors include focusing on overcoming barriers such as resistance to change and investing in system modernization. Future research should explore the long-term effects of IIS integration and further sector-specific comparisons.

This study aims to analyze the effectiveness of enforcement actions undertaken by the Business Competition Supervisory Commission (KPPU) in Indonesia in 2025 against various forms of unfair business practices. Using a juridical-normative approach combined with an analysis of recent market data, this article examines the KPPU’s strategic response to the challenges posed by the digital economy. The study focuses on the enforcement of competition law against cartel practices, algorithmic collusion, abuse of dominant positions, and anticompetitive vertical integration, particularly in the logistics and food sectors. The findings indicate that 2025 marks a significant turning point in Indonesian competition law enforcement, characterized by a shift toward more aggressive and data-driven supervision. Strengthening enforcement authority, particularly in the execution of fines, along with the adoption of algorithmic audits, has enhanced the KPPU’s ability to detect and deter anticompetitive behavior. These measures aim not only to preserve market efficiency and fair competition but also to ensure that national economic growth is not concentrated among a small number of dominant firms, thereby promoting more equitable opportunities for micro, small, and medium enterprises (MSMEs).

This study aims to assess the financial performance of the Sukoharjo Regency Government during the 2023-2024 period by employing cash flow statements as the primary analytical tool. Cash flow statements are considered essential as they provide a clear picture of liquidity conditions and the actual capacity of local governments to manage cash inflows and outflows. This research applies a descriptive quantitative approach using secondary data obtained from audited Budget Realization Reports and Cash Flow Statements. Financial performance is evaluated through revenue effectiveness ratios and expenditure efficiency ratios as key indicators of fiscal management. The results indicate that regional revenue realization consistently exceeded the established targets throughout the study period, placing revenue performance in the very effective category. This finding reflects the local government’s ability to maximize revenue potential during the post-pandemic economic recovery phase. However, the analysis of expenditure efficiency reveals that spending management has not yet reached an optimal level, as expenditure realization remained close to the allocated budget limits. These findings demonstrate that strong revenue performance does not necessarily correspond with efficient expenditure control. Consequently, local government financial performance should be evaluated comprehensively by integrating both revenue effectiveness and expenditure efficiency perspectives. This study contributes empirically to public sector accounting literature and offers practical insights for policymakers to strengthen budget control mechanisms and promote sustainable financial management at the regional level.    

The development of information technology requires service companies to improve the effectiveness and quality of their services, including in the field of electrical installation services. CV Givas Jaya Sentosa still faces problems in managing orders, customer data, and technician scheduling, which are done manually, resulting in inefficiency. This study aims to design and build a web-based electrical installation service provider information system using the Object Oriented Analysis and Design (OOAD) method. The research method used is qualitative with a research and development (R&D) approach, through data collection techniques such as observation, interviews, and documentation. The system is designed using Unified Modeling Language (UML) modeling and implemented as a web application. The results of the study show that the system is able to simplify the service ordering process, improve service and technician data management, and help monitor work status in an integrated and real-time manner. Thus, this information system can improve operational efficiency and service quality at CV Givas Jaya Sentosa.

This research aims to develop an E-Catalog Information System for the Library of SMPK St. Yohanes Wewewa Barat as a digital platform that provides students and teachers with fast, accurate, and efficient access to book collection information. The system is designed to replace the previous manual book search process, which often caused delays and reduced the effectiveness of library services. The development of this system applies The Model-View-Controller (MVC) method structures the system by dividing it into three distinct parts: the model, the view, and the controller, each with its own specific function resulting in a structured architecture that is easier to manage, maintain, and improve. This method was chosen because it supports modular development and provides flexibility for future system enhancements. The results of this study show that the developed e-catalog system functions properly and performs well according to the intended design. All main features, including book searching, book detail display, and book data management, operate optimally without significant issues. Moreover, the system helps improve the efficiency of library services and enhances the user experience in accessing digital book information.