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The operational department at PT. Baruna Mitra Segara Lines Bandar Lampung plays a crucial role in ensuring the timely departure of ships. This study examines how the department monitors ship departures to ensure they occur on time and follow established procedures. The research uses a qualitative case study approach, collecting data through observation and documentation. The findings show that active involvement from the operational department helps reduce technical and administrative issues that may delay departures. Improving human resources and operational systems is essential to guarantee smooth operations. The operational department is responsible for coordinating between departments, checking ship readiness, and monitoring schedules. The department's effectiveness significantly reduces delays and enhances customer satisfaction. The study also highlights that the accuracy of operational work impacts the efficiency, safety, and reliability of the shipping process. Strengthening the monitoring system and improving human resource quality are critical to optimizing the department’s role. However, challenges such as limited resources and outdated information systems need to be addressed to improve performance. This research aims to provide insights for PT. Baruna Mitra Segara Lines management to enhance the operational process of ship departures.

It very important for business administration to e carried out in a structured and consistent manners in its execution. If it is not done well, it will become negative feedback in the course of the business and will reduce competitiveness. The activity of administraive tidiness is used for continuous improvement of the administrative system by adjusting the availale resouces, including human resources and technology. This community service aims to provide insights, knowledge, and skills in the implementation of administrative therapy activities through socialization, training and guidance on administrative writing, particularly in production and warehousing. The implementation leads to improved efficiency and effectiveness in working time, tidiness and ease of work. In addition, it makes coordination between employees and departements easier, while accountability is achieved.

This research discusses the development of a donor module on the SiKembar (Barang Entry and Exit Information System) web-based application, designed to optimize the management of donor data and donation aid during natural disasters. The module is developed to facilitate the donation submission process from the public, ultimately aiming to improve coordination between the community, government, and BPBD (Regional Disaster Management Agency) of Cianjur Regency in managing and distributing post-disaster aid. The development method used in this module is web-based, utilizing PHP programming language and the CodeIgniter framework. The CodeIgniter framework was chosen for its ease of use in building structured and flexible web applications. The donor module developed is integrated into the existing SiKembar platform, allowing for more efficient and organized donor data management. The main feature introduced in this module is the donation submission, which enables the public to directly donate and track the status of their submitted donations through the platform. The results of the research indicate that this module facilitates a more structured and responsive donation submission process. Both donors and administrators can easily access and manage information related to the aid needed and the status of received donations. This enhances transparency and efficiency in donation data management while minimizing the potential for errors in aid distribution. The donor module on the SiKembar application is expected to increase the effectiveness of managing donor data and handling aid following natural disasters. With this system, the aid distribution process will be more organized and faster, while also facilitating better coordination among the involved parties. Ultimately, this module can contribute to accelerating post-disaster recovery and ensuring that aid reaches those in need in a timely manner.

The management of incoming and outgoing mail at the Situbondo Technical Implementation Unit (UPT BLK) plays a crucial role in supporting the effectiveness of administrative activities. Currently, the process of recording letters is carried out manually using an agenda book, which is considered inefficient, makes searching for archives difficult, and takes a long time. These problems encourage the implementation of an information system that can facilitate faster, more structured, and more accurate processing of letter data. This study proposes the development of a computer-based information system using the waterfall method in the Software Development Life Cycle (SDLC). The data collection process is carried out through direct observation and interviews with administrative staff, so that system requirements can be clearly identified. The results of this study are an information system design with a simple, user-friendly, and easy-to-operate interface, so that employees can quickly understand the flow of use. The system developed allows the process of recording, archiving, and tracking letters to be more organized, practical, and efficient compared to previous manual methods. In addition, this system is also able to reduce the potential for human error in recording and accelerate the presentation of information when needed for administrative purposes and decision-making. Other advantages offered are easy data access and the availability of reliable, accurate, and timely information. With this system, administrative performance at the Situbondo Technical Implementation Unit (UPT BLK) is expected to significantly improve, both in terms of time efficiency, service speed, and orderliness in managing documents.

Research Method: The community and prospective parents have difficulty accessing information about TK Harapan Bunda because they often have to come directly to the school in the morning or meet the school outside of working hours. This hinders efficiency and is time-consuming for them, as well as burdening educators. Therefore, a modern solution is needed such as an official website or digital platform to facilitate access to information quickly and practically. Research Results: The purpose of implementing the system is to evaluate whether the developed system has met expectations. Through testing and implementation, the quality of the system can be assessed. Conclusion: Based on the research and implementation of the TK Harapan Bunda web-based Information System, it can be concluded that: a) The web-based information system provides easier and faster access for the community and prospective parents to obtain information about the school. b) The professionally designed website has succeeded in improving the image of TK Harapan Bunda with an attractive appearance and informative content, which promotes the school's excellent programs and achievements, thereby increasing the interest of prospective students and parental trust. c) The use of modern technology in the development of this system shows that TK Harapan Bunda is able to adapt to increasingly rapid digital developments.

Coal is one of the main energy sources and the largest contributor to national revenue; however, its management faces challenges related to limited availability and accuracy in reserve estimation. An essential aspect of mining management is monitoring the Run of Mine (ROM) volume, which plays a critical role in crushing, washing, and blending processes. This study aims to compare the accuracy of ROM volume measurements using Terrestrial Laser Scanner (TLS) and Unmanned Aerial Vehicle (UAV) methods in the production area of PT FAD, Berau Regency, East Kalimantan. A quantitative descriptive approach was employed, involving field data acquisition, three-dimensional modeling, and volume analysis using specialized software. The results show that ROM volume measured with TLS was 1,407.669 lcm, while UAV produced 1,387.357 lcm, with a difference of 20.312 lcm or 1.45%. This deviation is within the ASTM D6172-98 tolerance limit (<2%), indicating that both methods are valid. Although TLS offers higher accuracy, UAV is more effective and efficient in terms of measurement time, making it a reliable alternative for modern mining monitoring. This study provides practical insights for the mining industry in selecting ROM volume measurement methods that are not only accurate but also efficient in supporting sustainable operations and data-driven decision-making.

Efficient management of patient queues is essential in healthcare systems to ensure timely care, optimize resource utilization, and enhance patient satisfaction. Mathematical programming, particularly when applied in conjunction with queuing theory and optimization models, provides a rigorous framework for analyzing and improving healthcare service delivery. This approach involves modeling arrivals and service processes, applying queuing models (such as single-server, multi-server, and priority queues), and formulating optimization objectives—often to minimize total costs, patient waiting times, or resource idling. Recent research demonstrates that combining queuing theory with mixed-integer programming and simulation techniques enables healthcare managers to allocate resources dynamically, set staffing levels, and assign priorities among different patient categories. For example, the use of mixed-integer programming can determine the optimal number of servers, beds, and service rates based on patient flow and priority needs, striking a balance between reducing waiting times for critical cases and controlling operational costs. These mathematical models also account for practical constraints and stochastic variability inherent in clinical settings. Applications span emergency departments, outpatient clinics, and even pharmacy and blood service centers—showing significant improvements in system efficiency, reduced patient wait times, and enhanced overall care quality. Thus, mathematical programming is a powerful decision-support tool for queue management, offering evidence-based strategies to address congestion and resource allocation challenges in complex healthcare environments.

Reservoir heterogeneity has long been recognized as a critical factor influencing the efficiency of enhanced oil recovery (EOR) methods. Among the techniques applied, cyclic waterflooding is considered one of the promising approaches due to its relatively simple operational design and potential to improve sweep efficiency. This method involves alternating water injection in specific cycles to mobilize trapped oil and redistribute reservoir pressure. However, the variation in geological properties such as porosity, permeability, and fluid saturation creates challenges in achieving uniform displacement, especially in reservoirs with high heterogeneity. Understanding the role of heterogeneity is therefore crucial for optimizing cyclic waterflooding applications. This study applies a literature review approach by synthesizing findings from previous experimental and field studies that evaluated cyclic waterflooding under different reservoir conditions. The analysis compares the performance of cyclic water injection periods across reservoirs characterized by varying levels of heterogeneity. Parameters such as injection rate, water breakthrough time, and oil recovery factor were considered in evaluating the effectiveness of this method. The results highlight that reservoirs with high heterogeneity often experience uneven fluid distribution, leading to early water breakthrough and reduced oil recovery. In contrast, reservoirs with relatively low heterogeneity tend to respond better to cyclic waterflooding, resulting in improved sweep efficiency and higher incremental recovery. Moreover, the optimization of cycle timing and water injection intervals appears to significantly mitigate the negative effects of heterogeneity. In conclusion, the study emphasizes that reservoir heterogeneity plays a decisive role in determining the success of cyclic waterflooding. Tailoring injection strategies based on geological variability is essential to maximize recovery efficiency. Future research should focus on integrating advanced reservoir characterization techniques with adaptive cyclic flooding models to further enhance oil production outcomes.

In manufacturing industries, machining processes play a critical role in ensuring product quality, precision, and production efficiency. However, in the production of swing arm parts, the machining process has been identified as a bottleneck due to its non-optimal cycle time. One of the main issues contributing to this inefficiency is the disorganized handling of circlip inner parts. These components are often scattered without a designated placement system, which creates significant difficulties for operators when retrieving and installing circlips onto the swing arm. Such abnormalities disrupt workflow continuity, extend production time, and reduce overall productivity. To address this challenge, a circlip feeder machine was designed as a supporting device to assist operators and streamline the machining process. The design emphasizes efficiency, integration, and systematic operation by utilizing readily available workshop materials. The developed feeder machine is equipped with a robust frame construction and has a storage dimension capable of accommodating up to 200 circlips. In addition, mechanical analysis demonstrates that the feeder structure can withstand a maximum applied force of 31,475 N, ensuring durability and reliability during operation. The introduction of this circlip feeder machine directly impacts the production process by reducing operator workload, minimizing delays caused by disorganized parts, and ensuring faster and more accurate installation of circlips. Consequently, the overall machining cycle time is shortened, thereby improving production flow and enhancing the efficiency of swing arm part manufacturing. Beyond immediate time savings, the use of the feeder machine contributes to better resource utilization, reduced ergonomic strain on operators, and improved consistency in product quality. This study highlights the significance of simple yet effective mechanical innovations in overcoming production bottlenecks and optimizing manufacturing processes in automotive component industries.

Public Financial Management (PFM) is a critical element of good governance, transparency, and accountability, with direct implications for education and youth development. Despite its significance, research on PFM in these sectors remains fragmented, limiting a holistic understanding of its impact. This study conducts a Systematic Literature Review (SLR) to synthesize existing scholarship on PFM in education and youth affairs, following the PRISMA 2020 guidelines. A comprehensive search across Scopus and Web of Science identified peer-reviewed studies addressing financial governance, budgeting practices, accountability mechanisms, and financial literacy programs. The findings reveal that effective PFM contributes to improved educational outcomes by enhancing financial literacy, ensuring timely budget disbursement, promoting student savings, and enabling equitable access to financial education. Conversely, persistent challenges such as delays in fund allocation, weak accountability, and disparities in program implementation continue to hinder progress. The review also highlights the broader implications of SLRs in advancing curriculum innovation, guiding evidence-based policymaking, and strengthening accountability frameworks in education finance. This study contributes to both theory and practice by offering an integrated synthesis of PFM in education and youth affairs, identifying critical research gaps, and providing recommendations for policymakers and practitioners. The results underscore the importance of embedding financial literacy into school curricula, adopting performance-based budgeting, and fostering collaboration between researchers and policymakers. Ultimately, strengthening PFM in education not only enhances institutional efficiency but also equips youth with the financial skills and opportunities required for sustainable social and economic development The findings from this review contribute to the ongoing discourse on PFM by offering an integrated synthesis of current knowledge. The study not only uncovers critical research gaps but also provides actionable recommendations for both policymakers and practitioners.

This research aims to develop a transaction data security system on the web-based Pancadaya Waste Bank application by applying a hybrid cryptographic algorithm that combines Advanced Encryption Standard (AES) and Rivest Shamir Adleman (RSA). The problem faced in the previous system is the weak recording and security of customer transaction data, because the process is still carried out manually so that it is prone to recording errors, loss of important information, and potential misuse of data by unauthorized parties. To answer these problems, this study uses the Rapid Application Development (RAD) method which allows the application development process to be carried out quickly, flexibly, structured, and according to user needs. The research method used was a qualitative approach with interview techniques with the management of the Pancadaya Waste Bank and the Environment Office, as well as an in-depth literature study on the application of hybrid cryptographic algorithms in modern information systems. The system is built using the PHP programming language, MySQL database, and OpenSSL library as the main support for the data encryption and decryption process. The implementation of the algorithm is carried out by encrypting transaction data using AES for efficiency and speed, then the AES key is secured through RSA to ensure a higher level of security while preventing illegal access. The test results showed that the system was able to encrypt and decrypt transaction data in real-time, as well as display transaction results in the form of digital notes on deposit and balance withdrawal activities. In addition, performance tests using GTmetrix showed that the application has excellent speed, stability, and processing efficiency, making it feasible to be widely implemented in Pancadaya Waste Bank operations.

Technological innovations have brought significant changes in the management of public administration, including the procurement of goods and services. E-Catalog is one of the innovations implemented to improve efficiency, transparency, and accessibility in the procurement process. This study aims to analyze the effectiveness of the use of E-Catalog in the city of Surabaya based on five main criteria: effort, cost-efficiency, result, cost-effectiveness, and impact. The results of the study show that E-Catalog is able to speed up the procurement process of goods and services by providing direct access to the information needed by users, without going through a time-consuming manual tender process. The system also cuts operational and administrative costs, such as printed documents and formal meetings, providing budget efficiency of up to 10% per year. In addition, user satisfaction levels increased with more than 85% of respondents feeling helped by this system. E-Catalogs not only save time and costs, but also increase transparency and accountability in procurement. All transactions are digitally documented, making the audit process easier and preventing potential irregularities. This implementation also encourages the empowerment of local MSMEs by providing easier access to government markets. Another positive impact is the increase in public trust in the government, which is supported by a transparent and inclusive system. Nonetheless, challenges such as limited technology infrastructure and intensive training need still need to be addressed to ensure the sustainability of these systems. With the integration of blockchain technology and strengthening regulations, E-Katalog has the potential to become an effective and efficient model for the procurement of goods and services, not only in Indonesia, but also at the global level. This research offers strategic recommendations for the development of better technology-based procurement policies and practices in the future.

In the current digital era, managing sales transactions manually is inefficient and prone to recording errors. This research aims to develop a web-based Point of Sale (POS) application for the Phi Phi Thai business using the Extreme Programming (XP) software development methodology. XP was chosen for its support of rapid iteration, adaptability to changing user requirements, and strong collaboration between developers and stakeholders. The developed application includes key features such as user registration and login, product ordering, menu and customer management, expense tracking, and financial and sales reporting. Testing was conducted using the Black Box Testing method to ensure that all functionalities performed according to specifications. The implementation results indicate that the application improves operational efficiency, reduces transaction errors, and provides real-time information for business owners to support better decision-making. Furthermore, the application of Extreme Programming (XP) methodology in the development process allows time for regular evaluation and refinement of the application based on feedback from end users. Each iteration produces a version of the software that can be immediately tested and used, minimizing the risk of system failure during final implementation. This approach also encourages lightweight yet relevant documentation and open communication between the technical team and business owners. Thus, the developed Point of Sale application not only meets current functional requirements but also has a high degree of flexibility for further development as Phi Phi Thai's business grows in the future.

The production process of graphite glass at ABC faces challenges in the form of waste that has an impact on low operational efficiency. Waste in production activities can affect the quality, cost, and timeliness of product completion. This study aims to identify the most dominant types of waste and provide relevant improvement recommendations to improve production efficiency. The method used is Value Stream Mapping (VSM), a visual approach that maps the flow of the production process from raw materials to final products. The research stage is carried out through direct observation on the production floor, time study, interviews with employees, and documentation of production activities. The results of the analysis show that the most dominant form of waste is overprocessing, which is a repetitive activity that does not add value to the product. This causes longer production cycle times and reduces the effectiveness of resource use. To overcome this, this study provides several recommendations, including: combining production processes that have similar functions, redesigning workflows to make them more concise, and eliminating activities that do not provide added value. The implementation of this improvement has proven to be effective by increasing the Process Cycle Efficiency (PCE) value from 45% to 67%. The increase in PCE reflects that the production process has become more efficient, the workflow is smoother, and the rate of waste has decreased significantly. In addition, the results of this study also confirm that the application of the VSM method can be a strategic solution in identifying sources of inefficiency, designing continuous improvements, and increasing the competitiveness of companies. Thus, the company is expected to continue to evaluate, control, innovate, and improve technology so that efficiency achievements can be maintained, expanded, and improved consistently and sustainably in the future.

The manual credit application process often takes a long time and is prone to various problems, such as recording errors, data redundancy, and the risk of losing important documents. These conditions not only hamper service effectiveness but can also reduce customer satisfaction and the performance of the officers involved. Therefore, this study aims to design and develop a Progressive Web App (PWA)-based credit application system using the Rapid Application Development (RAD) method. This system is expected to be a more efficient, faster, and more accurate solution than the current manual mechanism. PWA was selected based on its ability to provide universal access through a browser without the need for additional application installation, making it more practical for both customers and officers. Meanwhile, the RAD approach allows for an iterative and flexible system development process, with direct user involvement from the design stage through implementation. This aims to ensure the system is truly aligned with real-world needs. The development results indicate that the designed PWA system is capable of supporting the tasks of Account Officers (AO) and Division Heads in managing credit application data. The process includes the pipeline stage, submission, field survey, and credit realization, which is well-documented and accessible in real time. Functional testing using the Black Box Testing method proved that all features functioned according to established specifications. Furthermore, usability testing using the System Usability Scale (SUS) method yielded satisfactory scores, indicating the system's high usability and positive user experience. Therefore, this PWA-based credit application system not only improves process effectiveness and efficiency but also supports transparency, data accuracy, and user satisfaction.

Preeclampsia is one of the most serious complications in pregnancy, characterized by hypertension and proteinuria, and it poses a significant risk of maternal and fetal morbidity and mortality if not detected and managed promptly. Early detection is crucial, yet clinical diagnosis often faces challenges due to the variability of symptoms and uncertainty in medical decision-making. To address this issue, this study aims to develop an expert system for diagnosing preeclampsia by employing the Dempster-Shafer method, which is known for its ability to handle uncertainty and incomplete information in complex domains such as healthcare. A case study was conducted at Bidadari General Hospital, where data on clinical symptoms and patient medical records were collected and analyzed. The development process of the expert system followed systematic stages, including knowledge acquisition from obstetrics specialists, designing the knowledge base, constructing inference rules, and integrating the Dempster-Shafer algorithm for decision support. The system was subsequently tested using real-case scenarios of pregnant women suspected of having preeclampsia. Evaluation results demonstrated that the system achieved an accuracy rate of 92% in differentiating between preeclampsia and eclampsia, based on belief and plausibility measures combined with symptom analysis. These findings indicate that the proposed system can effectively support medical personnel by providing diagnostic recommendations with a high degree of reliability. In addition, the system offers efficiency in the clinical workflow by minimizing diagnostic errors and reducing delays in treatment initiation. Therefore, this expert system has the potential to become a valuable clinical decision support tool for early detection, risk assessment, and management of preeclampsia. Future development may focus on expanding the knowledge base, integrating real-time patient monitoring data, and enhancing usability to ensure broader applicability in diverse healthcare settings.

In the ever-evolving e-commerce era, the Nibras Online Warehouse plays a crucial role in supporting the distribution of Muslim clothing products throughout Indonesia. This strategic role demands an accurate and efficient inventory management system to ensure smooth and timely order fulfillment. One of the main challenges faced is the discrepancy between inventory data recorded on the website and the actual physical stock available in the warehouse. This discrepancy not only impacts delivery delays but also has the potential to reduce customer satisfaction and the company's overall image. This study aims to analyze the root causes of the inventory management system and develop practical solutions to ensure data consistency between the digital system and real-world conditions. The methods used include literature review, direct field observations, in-depth interviews with warehouse staff, and documentation of daily operational processes. Through an analytical approach using the 5 Whys method and a fishbone diagram, it was found that factors such as delays in data input, lack of synchronization between the operational and IT divisions, and an undocumented goods receipt process were the main causes of inventory data discrepancies. To address this, it is recommended to implement a real-time technology-based inventory management system integrated with the online sales system. Additionally, training warehouse employees on new standard operating procedures (SOPs) and regular stock audits are crucial steps to create transparency and efficiency. These steps are expected to improve data accuracy, accelerate decision-making, and support sustainable business growth. Regular evaluations are also necessary to ensure the implemented system remains relevant and adaptable to the dynamics of warehouse operations.

This research aims to design and implement a website-based E-Presence information system with geolocation integration in the Technical Implementation Unit (UPT) of the Situbondo Job Training Center (BLK). This system was developed as a solution to problems that arise in the manual attendance mechanism, which is prone to recording errors, data manipulation, and delays in recapitulation of the attendance of trainees. By applying the Waterfall approach as a software development methodology, this research goes through several important stages, namely needs analysis, system architecture design, coding, quality testing, and maintenance. Key features developed in the E-Presence system include attendance validation based on GPS location to ensure the authenticity of the user's position, real-time attendance data recording that is stored directly to the database, and automated reporting that simplifies the administration and attendance evaluation process of trainees. The use of this technology is expected to increase the effectiveness, efficiency, accountability, and transparency in the management of attendance data, while supporting the implementation of modern information systems in regional job training institutions. The results of the implementation show that the E-Attendance system is able to provide several significant benefits, including increasing the accuracy of attendance data, reducing the potential for fraud, accelerating the recapitulation process, and supporting decision-making in training activities. In addition, this system also provides added value in the form of increased trust in attendance administration management because the transparency of the data produced can be monitored directly. Thus, the design of a website-based E-Presence information system with geolocation integration at BLK Situbondo has proven to be effective in overcoming the problem of manual attendance, while contributing to improving service quality, technological innovation, job training governance, and strengthening digital transformation in the education and training sector.

This study aims to deeply examine the role and impact of AI implementation in the B2B sales process, including implementation challenges. The method used is a qualitative approach with descriptive studies, through a literature review of scientific journals, industry reports, and relevant previous studies. The analysis results show that the application of AI in B2B sales not only improves the accuracy of marketing strategies and lead conversion, but also strengthens the concept of value co-creation through collaboration between salespeople and AI systems. Technologies such as machine learning, predictive analytics, and NLP-based chatbots have been proven to accelerate sales cycles, expand service reach, and increase productivity by up to 30%. However, implementation challenges remain, including limited digital infrastructure, a lack of competent human resources, and organizational resistance to technological transformation. Therefore, optimal AI integration requires institutional readiness, adaptive strategies, and continuous investment in technology and human resource development. These findings provide theoretical and practical contributions to the development of AI-based B2B sales strategies, particularly in the context of the digital industry in Indonesia. Furthermore, the application of AI in B2B sales also opens up new opportunities for service personalization. With the support of real-time data analysis, companies can better understand the specific preferences and needs of their business partners. This enables the development of more targeted communication strategies and the enhancement of long-term relationships with business customers. AI also plays a role in reducing human error through automated systems that can validate data, provide predictive recommendations, and support faster and more accurate strategic decision-making. Furthermore, the adoption of AI in B2B requires clear regulations and governance, particularly regarding ethical data use and information security. Companies must be able to balance the use of technology to increase efficiency with the protection of privacy and consumer rights.

This paper explores the transformative influence of artificial intelligence (AI) on the accounting profession, particularly within the Accountant General of the Federation (OAGF). The research investigates how AI-driven innovations are reshaping traditional accounting practices and redefining the role of accountants. By conducting a systematic literature review, this study identifies three primary dimensions of AI’s impact: the automation of repetitive tasks such as data entry, transaction processing, and reconciliation; enhanced data analytics capabilities, which include predictive modeling and real-time decision support; and the evolution of accountants' roles toward more strategic and value-added activities, such as financial advisory and risk management. The automation of routine processes through AI allows accountants to focus on higher-level tasks that require judgment, creativity, and expertise, ultimately enhancing the overall efficiency of the accounting function. Furthermore, AI’s advanced data analytics tools provide more accurate insights, enabling accountants to offer more effective financial guidance and make more informed decisions. As AI reduces the time spent on manual processes, accounting professionals can improve their role in advising on business strategy, improving risk management, and identifying new growth opportunities. The study’s findings underscore the importance of embracing AI in the accounting profession, not only to improve operational efficiency, reduce costs, and scale operations but also to enable accountants to stay competitive in a rapidly evolving technological landscape. The paper concludes by emphasizing that adopting AI is essential for accountants to remain relevant and continue providing valuable contributions to their organizations. Future research should focus on the long-term implications of AI on accounting ethics and the development of necessary skills for accounting professionals to thrive in the age of AI.