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In the current digital era, public services are increasingly being transformed through technology, including tax administration systems. One of the major innovations implemented by the Indonesian government is the Core Tax System, an integrated tax administration system designed to improve service efficiency, data integration, and taxpayer compliance monitoring. This study aims to analyze the effect of Core Tax System implementation on taxpayer compliance in Indonesia. The research adopts a quantitative approach using primary data collected through questionnaires distributed to taxpayers. The collected data were tested using validity and reliability tests and analyzed through descriptive statistics and significance testing to examine the relationship between the research variables. The results indicate that the implementation of the Core Tax System has a positive and significant effect on taxpayer compliance, both partially and simultaneously. These findings suggest that tax system digitalization can serve as an important instrument in improving taxpayer compliance in Indonesia.

The Secretariat of the Regional People's Representative Council (DPRD) of Southwest Sumba Regency plays an important role in supporting local government administration. In carrying out its duties, the Secretariat produces various administrative documents that must be properly managed and maintained. However, archive management is still conducted conventionally through physical storage, which increases the risk of document damage, loss, and inefficiency in retrieval. This study aims to develop a web-based archive management information system to improve the effectiveness of document management. The research methodology involves several systematic stages, including needs analysis, system design, development, and system implementation. Data were collected through observation and interviews to identify existing problems in archive management practices. The results show that the developed system provides significant improvements in managing archives electronically. It enables faster data access, better document organization, and reduced risk of physical damage. Therefore, the system offers a practical solution to enhance administrative efficiency and support digital transformation within the DPRD Secretariat of Southwest Sumba Regency.

The rapid development of technology in the era of the Industrial Revolution 4.0 has driven the education sector to continuously adapt to the evolving demands of digital-based industries. One of the key technological innovations supporting this transformation is the Internet of Things (IoT), which enables data acquisition, real-time monitoring, and remote control of systems through internet networks. In response to these developments, a community service program was conducted to enhance the understanding and technical skills of students at SMK Negeri 1 Sindang through the provision and utilization of an IoT Trainer Kit Simulator as a practical learning medium. This activity aimed to bridge the gap between theoretical knowledge and industry-relevant technological applications by introducing students to hands-on IoT system implementation. The program included demonstrations and guided practice on the use of sensors, microcontrollers, and web-based monitoring platforms to simulate real-world industrial scenarios. The results indicate that students showed high enthusiasm and active participation throughout the activity. Moreover, participants were able to grasp the fundamental concepts of IoT systems, understand component integration, and recognize the relevance of IoT applications in supporting automation and digital transformation. Overall, this community service activity contributed positively to strengthening students’ digital competencies and preparedness for the demands of the contemporary industrial and technological landscape.

The development of information technology requires educational institutions to adapt so that administrative processes and internal management can run more effectively and efficiently. Islamic boarding schools as modern Islamic educational institutions are also not exempt from this need. This Community Service Program (PKM) aims to optimize computer networks and improve the understanding of pesantren staff regarding folder sharing systems, printer sharing, and data management ethics at Pondok Pesantren Modern Darel Azhar, Rangkasbitung, Banten. Implementation methods include initial observation, network design and installation, material delivery and training, data sharing system implementation, and technical evaluation. The results show that the pesantren now has a more organized, stable, and optimally utilized local area network (LAN). In addition, administrative staff gained a better understanding of computer network basics, data sharing systems, and digital data management ethics. This activity has a positive impact on the efficiency of pesantren administrative management and can serve as a model for implementing computer network technology in modern pesantren environments.

This research investigates intelligent cooling system design for main ship engines operating in tropical waters, integrating advanced machinery engineering with human factors to address thermal management challenges affecting engine performance, reliability, and crew operational effectiveness. Tropical maritime environments impose severe cooling demands through elevated seawater temperatures (28-32°C), high ambient conditions (28-35°C), and accelerated biofouling, reducing conventional cooling system effectiveness by 15-25% while increasing maintenance burdens and operational risks. Through qualitative analysis involving marine engineers, chief engineers with tropical operational experience, cooling system manufacturers, naval architects, automation specialists, and maritime training institutions, this study examines how intelligent cooling systems incorporating variable-speed pumps, adaptive control algorithms, predictive maintenance, and crew-centered interfaces can optimize thermal management while supporting effective human-machine collaboration. Results demonstrate that intelligent systems can reduce cooling energy consumption by 20-35%, improve temperature stability by 50-65%, extend maintenance intervals by 40-80%, and enhance crew situational awareness through intuitive monitoring interfaces, while requiring comprehensive training programs developing technical understanding and operational competencies. Key implementation challenges include control system complexity, sensor reliability in harsh marine environments, integration with existing engine management platforms, crew competency development requirements, and lifecycle cost justification. Findings reveal that successful intelligent cooling system implementation requires holistic sociotechnical approach addressing machinery engineering optimization, automation technology deployment, and human capability development through coordinated design and training strategies. This research contributes to marine engineering literature by providing integrated frameworks for intelligent system design incorporating machinery performance, automation capabilities, and human factors supporting operational excellence in tropical maritime operations.

Background: Accurate detection of renal cysts on CT urography requires high diagnostic precision, while manual interpretation by radiologists is susceptible to inter-observer variability and potential delays in clinical decision-making. These challenges underscore the need for a reliable automated detection system to support radiological assessment. Objective: This study aims to develop and evaluate the performance of the Neo-ZasAI application based on the YOLOv8 algorithm for the automatic identification of renal cysts. Methods: Employing a Research and Development design using the ADDIE model, the study encompassed needs analysis, model design, software development, system implementation using 200 CT urography images, and diagnostic performance evaluation. Classification results generated by Neo-ZasAI were compared with radiologist readings through confusion matrix analysis and ROC–AUC assessment. Results: The findings indicate that Neo-ZasAI achieved an accuracy of 97,5%, sensitivity of 96%, specificity of 99%, positive predictive value of 98,9%, and negative predictive value of 96,1%. The ROC analysis yielded an AUC of 0.988 (p < 0.001), demonstrating excellent discriminative capability and high concordance with radiologist interpretations as the diagnostic gold standard. Conclusion: These results suggest that Neo-ZasAI is capable of performing rapid, consistent, and accurate renal cyst detection and is thus feasible for implementation as a clinical decision support system in radiology, with potential integration into PACS workflows and further development to enhance model generalizability.

This study examines the effectiveness of the purchasing accounting information system at PT. ABC, with an emphasis on the quality and timeliness of information from ordering to payment to vendors. Using a qualitative descriptive approach, data was obtained through interviews, observations, and documentation involving departments related to purchasing activities. The results show that although the system has been implemented in accordance with company procedures, its effectiveness is still not optimal. This is evidenced by inconsistent documentation, frequent invoice revisions, and delays in the verification and payment processes, which reduce the efficiency and reliability of information. These problems are caused by weak document control, limited interdepartmental coordination, inadequate human resources, and high workloads in the purchasing unit. Therefore, improvements in system implementation and internal control are needed to improve the accuracy, timeliness, and overall effectiveness of the purchasing accounting information system.

This research is motivated by the problem of uneven bandwidth distribution in hotspot internet services at Oey Alycia Resto & Cafe, which negatively affects connection quality for users. The purpose of this study is to design and implement a bandwidth limitation-based hotspot internet system by applying a Fair Usage Policy (FUP) using Mikrotik devices, in order to achieve fair and efficient internet access distribution. The research method includes network requirement analysis, network topology design, Mikrotik RouterOS configuration, and system performance testing through direct observation and user questionnaires. The system implementation involves hotspot user authentication, per-user bandwidth allocation, and automatic speed reduction when data usage exceeds the predefined FUP threshold. The results show that the implemented system effectively limits excessive bandwidth usage by individual users, improves network stability, and ensures equitable internet access for all hotspot users. Furthermore, questionnaire results indicate positive user responses regarding improved internet service quality after the application of FUP. This research implies that the proposed system enhances the effectiveness of hotspot bandwidth management and can serve as a practical solution for public network administrators in optimizing bandwidth usage in a fair and controlled manner.

The increasing adoption of collaborative robots in modern manufacturing environments requires reliable perception systems that can ensure both safety and operational efficiency during human–robot collaboration. This study proposes a CNN-based real-time computer vision system for object and human detection in shared robotic workspaces. The research focuses on developing and evaluating a single-stage deep learning detection model optimized for real-time performance while maintaining high detection accuracy. The proposed methodology includes dataset preparation, model training using transfer learning, real-time system implementation, and comprehensive performance evaluation. Experimental results demonstrate that the developed system achieves high detection accuracy, as reflected by strong precision, recall, and mean Average Precision (mAP) values, while maintaining low inference latency suitable for real-time operation. The system consistently operates above real-time frame-rate thresholds, ensuring timely perception updates required for safety-related decision-making in collaborative robotic environments. Graphical and quantitative analyses further confirm the stability of inference performance under dynamic interaction scenarios involving human movement and multiple objects. Compared with existing approaches, the proposed system provides a balanced trade-off between accuracy and computational efficiency, making it practical for deployment in safety-aware human–robot collaboration scenarios. Overall, the findings indicate that CNN-based real-time object detection systems can effectively support perception and situational awareness in collaborative robotics, contributing to safer and more efficient industrial automation.

This study explores the transformative role of big data-driven Decision Support Systems (DSS) in global digital enterprises, particularly focusing on their impact on operational efficiency and corporate governance. By leveraging big data analytics, DSS offer organizations the tools to process vast amounts of real-time data, enabling executives to make more informed decisions that optimize resources, improve productivity, and reduce operational costs. The research highlights the integration of predictive analytics, machine learning, and real-time data processing within DSS, which allows businesses to gain strategic insights and anticipate market trends. Furthermore, the study emphasizes the significant role of DSS in enhancing corporate governance, improving transparency, accountability, and compliance with regulations. These systems foster better decision-making processes, which contribute to building trust among stakeholders and ensuring long-term organizational success. However, the study also identifies several challenges in implementing big data-driven DSS, including data management complexities, technological integration difficulties, and the need for skilled personnel. Despite these challenges, the findings demonstrate that big data-driven DSS are pivotal in driving competitive advantage, operational optimization, and governance improvements. The research concludes with actionable recommendations for executives to adopt and implement big data-driven DSS, emphasizing the importance of continuous support, training, and system integration. The study also suggests future research directions, including exploring the integration of emerging technologies like AI and IoT into DSS and assessing their long-term impact on sustainability and corporate governance.

Despite its cultural potential, Wetabar Village has not been supported by effective digital promotional media. Information access remains limited, and the lack of interactive promotional platforms has contributed to the low interest of tourists. Current promotional efforts rely heavily on conventional methods, resulting in decreased visitor numbers. The implementation of digital technologies such as Augmented Reality (AR) and Web-based 360° Virtual Reality Tours is considered an effective approach to increasing tourist engagement by offering immersive exploration experiences and interactive cultural content. This research aims to design and implement a web-based tourism promotion media that integrates local cultural content with AR and 360° virtual tour technologies. The development process follows the MDLC research method, utilizing the Lumi H5P platform and PHP for system implementation. The resulting system enables users to digitally explore Wetabar Village through panoramic views and interactive multimedia features. The findings show that the developed application runs smoothly on both Android devices and laptops and is capable of providing hotspot access to operate the virtual reality features. This innovation is expected to enhance tourist interest while supporting cultural preservation and promoting digital transformation within the tourism sector of West Sumba.

This study aims to analyze the implementation of financial reporting and evaluate the economic performance of Koperasi Simpan Pinjam dan Pembiayaan Syariah (KSPPS) Nur Insani during the period from 2022 to 2023. A descriptive qualitative method was employed, utilizing secondary data from the Statement of Financial Position, Cash Flow Statement, and Operating Results Report published by the cooperative. The findings indicate that KSPPS Nur Insani has implemented a computerized financial recording system, which enhances accuracy, transparency, and operational efficiency. However, the cooperative experienced significant financial pressure in 2023, as indicated by decreases in cash and cash equivalents, total assets, and temporary syirkah funds, both short-term and long-term. These declines reflect weakened liquidity and reduced fundraising capacity from members. Despite these challenges, the cooperative succeeded in increasing its Net Operating Results (SHU), demonstrating effective revenue management and operational cost control. Overall, the profitability of KSPPS Nur Insani remains positive, yet strategic improvements are necessary, particularly in strengthening liquidity management, increasing funding sources, optimizing asset utilization, and enhancing digital system implementation to support better financial governance. These strategic efforts are expected to improve business sustainability and maintain member trust in the future.

Posyandu (Integrated Health Post) is a public health facility that plays a vital role in providing health services for toddlers and pregnant women. However, data management and reporting often face challenges, such as limited access to information and errors in data recording. Therefore, this study aims to develop a Web-Based Posyandu Payolaumbu Service Information System using the CodeIgniter Framework to improve efficiency and accuracy in data management and reporting. In the development phase, a system requirements analysis and web-based application architecture design were conducted. The system implementation uses the CodeIgniter Framework as a framework to produce a faster, more efficient, and more reliable application. Proposed features include recording health data for toddlers and pregnant women, immunization schedules, weighing, and health reports. The results show that the Web-Based Posyandu Payolaumbu Service Information System can improve efficiency in recording and reporting health data. Users, including posyandu officers, midwives, and administrators, can easily access and manipulate data in real-time. Furthermore, this system helps improve service quality by providing more accurate and complete information on toddler health. In conclusion, the implementation of the Web-Based Posyandu Payolaumbu Service Information System using the CodeIgniter Framework provides significant benefits for data management and health services at Posyandu Payolaumbu. Suggestions for further development include maximizing system utilization, developing additional features, routine maintenance, and ongoing evaluation based on user feedback. With these steps, it is hoped that this system can contribute more effectively to improving the quality of health services at Posyandu and supporting comprehensive public health efforts.

This activity aims to analyze the effectiveness of waste management in optimizing production costs in the Giriloyo Batik industry, located in Yogyakarta, Indonesia. As a center for traditional batik production, Giriloyo faces environmental challenges due to the liquid waste generated from the dyeing process. This community service activity introduced hybrid constructed wetland technology as an environmentally friendly and cost-effective solution. Methods used included field observations, interviews with local artisans, and a comparative cost analysis before and after system implementation. The results showed a 30% reduction in monthly waste management costs and a significant improvement in wastewater quality, in accordance with environmental standards. Furthermore, this program increased community awareness and participation in sustainable production practices. Effective waste management not only reduces operational costs but also strengthens the long-term environmental responsibility of the small-scale batik industry. By integrating technology with community involvement, the program provides a sustainable model for waste management in similar artisanal sectors, contributing to both economic and environmental benefits.

The implementation of Coretax on taxpayers (clients) is able to provide an overview of how this application works and affects the taxpayer's compliance. This research aims to analyze the impact of Coretax application implementation on taxpayer compliance in AW&L Accounting Service Office (KJA) clients. The approach used in this research is descriptive qualitative. Collection of research data through literature studies, interviews and direct observations. Research results show that Coretax is able to simplify the tax reporting process through automation features, data integration, and comprehensive usage guidelines. The implementation of Coretax has a positive impact on taxpayer compliance. The obstacles found in the implementation of Coretax include low technology literacy, the need to provide additional education and training in the use of Coretax, and there are technical problems in the Coretax access system due to poor optimal signals. The improvement of the Coretax system by the Directorate General of Taxes is always updated in order to improve the tax administration system in Indonesia.

Building materials sales are an important sector in the construction industry, which requires an efficient system to manage transactions, inventory, and customer relationships. In an effort to improve the performance and efficiency of the sales process, this study proposes the implementation of a building material sales system using the Rapid Application Development (RAD) method at Toko Merah Delima. The RAD method was chosen for its ability to speed up the application development process with an iterative approach that involves direct user feedback. This research aims to design and implement a system that can automate the sales process, monitor stock of goods, and produce reports that can be accessed easily. The developed system includes integrated sales transaction management features, stock management, and sales reports. The results of the implementation of this system show increased efficiency in the management of transactions and stock of goods, as well as making it easier to monitor sales reports in real-time. By using the RAD method, this system can be developed in a shorter time and more in accordance with the operational needs of the store. This research is expected to contribute to the development of information systems for the building materials trading industry.

The rapid development of information technology has had a significant impact on various aspects of life, including the decision-making process that requires precision and objectivity. One of the problems often faced is product selection with various complex criteria, for example in selecting a quality drum. Drums as a percussion instrument have many variations in terms of sound quality, material, design, price, and durability, so a system is needed that can assist users in making a more rational choice. This study aims to develop a website-based Decision Support System (DSS) using the Weighted Product (WP) method to provide recommendations for drum selection. The WP method was chosen because it is able to perform calculations by considering the weight of each criterion so that the recommendation results are more objective. The system implementation is carried out through the design of a user-friendly web-based interface, making it easier for users to access, compare alternatives, and obtain recommendations without having to perform manual assessments that are time-consuming and potentially subjective. System testing was carried out by comparing the results of the system's recommendations with expert assessments, which obtained an accuracy level of 95%. These results indicate that the developed system has a high level of reliability and is suitable for use as an aid in decision-making in selecting quality drums. With this system, it is hoped that users, both beginners and professionals, will find it easier to choose drums that suit their needs and preferences.

Internet of Things (IoT)-based digital transformation has become a major catalyst in improving the efficiency of operational systems in various sectors, including the modern retail industry. One of the common logistics problems found in supermarket environments is the accumulation of unorganized shopping trolleys, which can hinder service flow and increase staff workload. This study presents a design of an IoT-based autonomous smart trolley system and automatic navigation to address these problems in a structured manner. The system design utilizes the integration of ESP32 and Arduino UNO microcontrollers, ultrasonic sensors for distance detection, line sensors for automatic path navigation, and Raspberry Pi modules for visual image processing in location tracking. The system is designed to be able to independently reposition the trolley to a predetermined parking station. Conceptual analysis shows that this system has significant potential in reducing operational costs, increasing labor efficiency, and strengthening customer service automation. Initial evaluation of technical and economic feasibility aspects strengthens the opportunity for widespread system implementation in the future. This design is the first step in developing a smart retail solution based on adaptive technology that is in line with the principles of Society 5.0. Furthermore, the development of this smart trolley system also considers user safety and comfort through additional features such as anti-collision sensors, an early warning system in the event of technical problems, and a manual control option as an alternative in emergency situations. The integration of Internet of Things-based technology also enables real-time monitoring and management systems through a web-based dashboard or mobile application, which can be accessed by supermarket management for operational analysis. Thus, this system not only addresses internal logistics needs but also contributes to improving the overall customer experience.

The increasing vulnerabilities of modern enterprise network security systems highlight the necessity of adopting a more comprehensive and adaptive security approach than traditional VPN infrastructures. This study explores the design and implementation of Zero Trust Network Access (ZTNA) using the Cloudflare platform at PT FHI, focusing on addressing the weaknesses caused by uncontrolled remote access and legacy security models. The research adopts an experimental methodology based on the Network Development Life Cycle (NDLC), which includes systematic phases such as needs analysis, architectural design, system implementation, testing, and performance evaluation. Data were collected through structured interviews with IT managers and security specialists, direct observation of network logs, and comprehensive testing involving three different categories of end users. The findings demonstrate significant improvements in role-based access control, granular authentication, and the elimination of unrestricted access to internal resources. Additionally, real-time monitoring and alerting features available through the Cloudflare dashboard enhance visibility and responsiveness to potential threats. The implemented system successfully applies the “never trust, always verify” principle by blocking unauthorized access attempts, enforcing continuous validation, and producing detailed audit logs. Performance evaluation results confirm stable connections, acceptable latency for critical business applications, and an overall improvement in network security posture while maintaining operational productivity across departments..

 The Karanggeneng River in Rembang Regency, Central Java, serves as the main water source for the surrounding community but is vulnerable to seawater contamination during the dry season due to decreasing river elevation. To address this issue, this study aims to design and implement a river water elevation monitoring device based on the Internet of Things (IoT) powered by a hybrid Solar Power Plant (PLTS). The device utilizes the MB7360 ultrasonic sensor connected to an ESP32 microcontroller to measure water elevation in real-time and display the data through an LCD and the Blynk application on a smartphone. The methodology includes literature review, device design, system implementation, and field performance testing. Test results show that the sensor can measure water height accurately within a range of 30 cm to 5 meters, and the PLTS system is capable of supplying the required 0.56 Watts of power. The study compared two alternative solutions and selected the ESP32-based system as the best option due to its efficiency, cost-effectiveness, and easy-to-source components. The conclusion of this research indicates that the developed device can provide accurate and continuous information, support monitoring of river conditions to prevent the risk of seawater intrusion, flooding, or drought, and has the potential to be applied as a mobile system in various other river locations across Indonesia.