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This study aims to design and develop a web-based New Student Admission System (PPDB) Website at MIS Chairul Bariyyah Medan Krio to overcome the limitations of manual registration systems. The method used is Agile, as it supports iterative, flexible, and adaptive system development according to user needs. Data collection techniques include observation, interviews, literature study, and documentation. The system is developed using the Python programming language with the Django framework and MySQL database. The results show that the developed system improves the efficiency of the registration process, minimizes data recording errors, and facilitates real-time management of applicant data. In addition, the Website also serves as an information and promotional medium for the school that can be accessed anytime. Based on Blackbox testing and User Acceptance Test (UAT), the system is proven to run well and is easy to use. Therefore, this web-based PPDB system is effective in improving the quality of Administrative services at MIS Chairul Bariyyah.

Prolonged outpatient waiting time remains a major challenge in public hospitals and reflects inefficiencies in service process management. Internal medicine clinics are characterised by high service complexity and patient volume, making them particularly vulnerable to process waste that contributes to extended waiting times. Objective: This study aimed to develop an outpatient service flow model based on the Lean Hospital approach to reduce waiting time in the internal medicine clinic of RSUD Balaraja. Methods: A qualitative case study design was employed. Data were collected through direct observation of outpatient service processes, document review, and Focus Group Discussions (FGD) with relevant stakeholders. Process analysis was conducted using Value Stream Mapping (VSM) to identify value-added and non–value-added activities, while Fishbone Diagram analysis was applied to explore the root causes of process inefficiencies. All findings were integrated to develop a future-state outpatient service flow model. Results: The findings indicate that prolonged outpatient waiting time is primarily influenced by inefficient service flow design, repetitive administrative processes, and weak coordination among service units. The proposed service flow model demonstrates a more streamlined, integrated, and patient-centred process, with potential reductions in waiting time through systematic waste elimination and process improvement. Conclusion: The Lean Hospital approach provides an effective framework for developing outpatient service flow models in public hospitals. The proposed model offers a practical basis for improving outpatient service efficiency in complex clinical settings such as internal medicine clinics.

This study aims to evaluate the effectiveness of implementing an application-based water payment system as a strategy to reduce consumer arrears. Payment delinquency remains a significant challenge in the management of water utility services, often driven by low payment discipline, limited access to transaction channels, and the inefficiencies of conventional manual systems. Employing a quantitative approach, this research utilizes comparative data collected before and after the implementation of the digital payment application, supported by statistical analysis to measure changes in consumer payment compliance. The findings indicate that the adoption of an application-based payment system has a substantial positive impact on reducing arrears, as reflected in increased payment timeliness and a decline in the number of delinquent consumers. Features such as ease of access, automated notifications, and transparent billing information are proven to enhance consumer compliance behavior. These results underscore that the digitalization of payment systems can serve as an effective solution for improving operational efficiency and supporting the sustainability of water utility services.

This study examines the transportation management flow at PT Xpresindo Logistik Utama Medan Warehouse and its impact on delivery accuracy. The research method used a qualitative approach through direct observation and interviews with warehouse managers and operational staff. The results showed that the distribution flow from receiving goods from Jakarta to shipping to customers in Medan was quite effective, although it was still dominated by manual systems such as the use of Delivery Notes and Excel records. The use of the Monstra tracking application was not evenly distributed, so fleet movement information was not always updated in real time, especially when demand volume increased at the end of the month. To improve efficiency, the study recommended the implementation of a Transportation Management System (TMS), digitalization of barcode/QR code-based inventory processes, and a Key Performance Indicator (KPI) dashboard to monitor delivery timeliness and fleet utilization periodically.

Background: Automatic segmentation of the thyroid gland in ultrasonography (USG) images using deep learning requires a user-friendly interface to support diagnostic and educational processes. Purpose: This study aims to develop and implement a Graphical User Interface (GUI) that integrates a deep learning U-Net model for interactive and efficient segmentation and visualization of thyroid USG images. Method: The development method employed the Rapid Application Development (RAD) approach using MATLAB programming language. The GUI is designed to load transverse and sagittal USG images, display automatic segmentation results, and calculate thyroid gland volume based on dimensions measured automatically from the segmentation output. Testing was conducted using USG image data from 15 volunteers, and GUI functionality was evaluated using black box testing. Result: The GUI successfully displayed USG images and segmentation results with a responsive 4-panel interface; zoom, pan, and image navigation features functioned well. Automatic segmentation occurred in real-time after image input, and volume measurement results appeared automatically. Black box testing evaluation showed all GUI features operated as expected. The average Dice Similarity Coefficient (DSC) of 0.91 indicates high performance of the U-Net model in thyroid segmentation, consistent with previous findings. Statistical testing confirmed no significant difference between volume measurements using the application and manual methods (p = 0.953). Conclusion: This GUI implementation facilitates users in performing deep learning-based segmentation and visualization of thyroid USG images, improving efficiency and accuracy in thyroid volume measurement. The GUI has potential applications in clinical practice and radiology education.

This study aims to qualitatively analyze the impact of order cancellations and customer ratings on the performance, performance, and income of online motorcycle taxi (Gojek) drivers in the Slawi region. The research method used a qualitative approach with data collection techniques through in-depth interviews, observation, and documentation of a number of active drivers. The results show that the high rate of order cancellations, both from customers and the system, negatively impacts driver income stability and reduces work time efficiency. Furthermore, customer ratings play a crucial role in determining driver access to orders, incentives, and account sustainability. Drivers with low ratings tend to experience decreased performance due to limited opportunities to receive orders. On the other hand, the pressure to maintain high ratings also affects drivers' psychological state and work strategies. This study concludes that order cancellations and customer ratings are crucial factors that are interrelated in influencing the work quality and welfare of online motorcycle taxi drivers. Therefore, fairer and more transparent platform policies are needed to maintain a balance between customer satisfaction and driver protection.

Heating, Ventilating, and Air Conditioning (HVAC) systems often suffer from significant energy wastage due to their inability to adapt to real-time environmental changes, leading to high operational costs. Although Proportional-Integral-Derivative (PID) controllers are widely used for their simplicity and reliability, they struggle to handle the complex dynamics of modern environments, requiring advanced optimization to enhance efficiency. This study aims to optimize PID controllers by integrating the Queen Honey Bee Migration (QHBM) algorithm to improve HVAC performance, energy efficiency, and adaptability. The research method employs an experimental approach that compares the performance of conventional PID controllers with PID controllers optimized using the QHBM algorithm under dynamic environmental conditions. The results show that the PID-QHBM system significantly outperforms the conventional PID system, achieving a rise time of 0.2649 seconds and a settling time of 1.6874 seconds with an almost negligible steady-state error of 9.4991e-08. Although it experiences a slight overshoot of 16.3810%, the system stabilizes quickly and maintains the target temperature efficiently. In contrast, the conventional PID controller exhibits slower response characteristics, with a rise time of 1.3730 seconds, a settling time of 2.5144 seconds, and a larger steady-state error of 0.0361. This study demonstrates that integrating the QHBM algorithm into PID controllers provides a more effective solution for real-time temperature control, offering substantial improvements in energy efficiency and system performance. The findings contribute to advancing intelligent HVAC control systems that can better adapt to environmental variations while minimizing operational costs.

The implementation of predictive maintenance supported by SAP Plant Maintenance (SAP PM) at PT Xyz has proven to be effective in reducing machine downtime, lowering maintenance costs, and improving asset reliability. The integration of SAP PM with Industry 4.0 technologies such as IoT sensors, AI-based analytics, and real-time notification systems strengthens operational efficiency and ensures continuous performance. Empirical results show improvements in key performance indicators, including a 20-25% reduction in downtime, a 30% reduction in maintenance costs, an increase in asset availability to 97%, an MTBF extension of up to 511 hours, and an OEE rate of 92.1%. These findings highlight the strategic role of digital predictive maintenance in increasing competitiveness and supporting long-term sustainability in manufacturing operations.

Waste management remains a critical environmental issue due to the lack of public awareness in separating organic and inorganic waste, resulting in accumulation and environmental pollution This study aims to analyze and evaluate the development of automatic waste sorting systems based on proximity sensors with full-capacity notification using a Systematic Literature Review (SLR) approach.. The proposed system utilizes a combination of sensors, including proximity sensors for material identification and ultrasonic sensors for detecting object presence and bin capacity, integrated with a microcontroller for real-time processing. Additionally, the system is equipped with IoT-based monitoring that allows users to receive notifications when the waste bin reaches its capacity. The research method involves system design, hardware and software integration, and functional testing to evaluate system performance. The results indicate that the system is capable of sorting waste automatically with a high level of accuracy and responsiveness, while also providing real-time monitoring to support waste management operations. The implementation of this system can reduce manual intervention, increase operational efficiency, and promote better waste segregation practices. Furthermore, this study highlights the potential of integrating smart technology into environmental management systems, contributing both theoretically and practically to the development of sustainable waste management solutions.

The use of moldboard plows in agricultural land preparation often faces wear problems on the share component, leading to increased maintenance time and reduced operational efficiency. This study aims to design and analyze a modular concept for the plow share to improve maintenance and repair efficiency without compromising structural performance. The research methods include field observation, component dimension measurement, design modeling using CAD software, and structural analysis using the Finite Element Analysis  (FEA) method. In addition, maintenance ease was evaluated through a questionnaire based on a rating scale. The results show that the modular design significantly improves maintenance and repair efficiency, with an average score of 4.59 categorized as very good. Structural analysis indicates that the modular design reduces maximum stress on the moldboard and slightly decreases deformation, reflecting improved structural stiffness compared to the conventional design. However, the Safety Factor on the share component remains below the acceptable limit, indicating the need for further development. Overall, the modular design provides an effective solution to enhance maintenance efficiency while maintaining the structural performance of the moldboard plow.

The management of ethical drug inventory is a crucial aspect of supporting the smooth delivery of healthcare services in hospitals. Improper management of ethical drugs can lead to stockouts or overstock, which results increased operational costs and the risk of drug expiration. This study aims to analyze the inventory control of ethical drugs at RSUD Inche Abdoel Moeis Samarinda using the Economic Order Quantity (EOQ), Safety Stock, and Reorder Point methods. The data used in this study are the consumption of ethical drugs during 2024, obtained from the hospital’s Pharmacy Installation. The data analysis method involves calculating ordering and holding costs, determining the optimal order quantity using EOQ, and calculating Safety Stock and ROP to maintain drug availability during lead time. The results of this study indicate that the application of the EOQ method provides a more optimal and efficient order quantity compared to previous policies. Furthermore, Safety Stock and ROP calculations assist the hospital in preventing ethical drug shortages and creating a more structured ordering schedule. Thus, the implementation of EOQ, Safety Stock and ROP methods can improve the efficiency of ethical drug inventory management while supporting the continuity of healthcare services at RSUD Inche Abdoel Moeis Samarinda.

This study aims to examine and analyze the implementation of digital-based public services through the Digikel website in Biawao Village and Limba U1 Village,Gorontalo City. The main focus of this study includes three aspects:(1) support, (2)capacity, and (3) value. This study employs a qualitative approach with a descriptiveresearch design. Data were collected through observation, interviews, and documentation. The study's findings indicate that the implementation of the Digikel website hasbeen effective across the three aspects. (1) Support: The implementation of Digikelis supported by leadership commitment, active employee involvement, and policysupport from the city government through clear regulations. However, there are stillchallenges in the community's socialization process, which has not been optimal.(2) Capacity: Human resources in Biawao Village and Limba U1 Village are considered to have adequate competence through technical guidance. Nevertheless,there are still infrastructure-related obstacles, including unstable internetconnectivity and limited computer equipment. The absence of a dedicated budgetat the village level has also been a constraint in system development. (3) Value: The implementation of Digikel has had a positive impact, particularly in improving efficiency in terms of time, cost, and labor, as well as in accelerating, simplifying, and enhancing the transparency of public services. However use of this system has not yet been fully optimized due to low levers of diritalitgacy among somemembers of the community.

This study examines the absence of clear time limits in civil procedural law and its impact on the effectiveness of the principle of simple, fast, and low-cost justice in Indonesia. Normatively, this principle serves as a fundamental guideline in ensuring efficient and accessible dispute resolution. However, in practice, civil proceedings often take a prolonged and complex course, leading to increased costs and legal uncertainty. This research aims to analyze whether the principle has real normative force and how the lack of time constraints in each stage of civil litigation contributes to procedural delays. The study employs a normative legal research method using statutory and conceptual approaches, supported by secondary legal materials. The findings indicate that the absence of strict and binding time limits allows procedural flexibility to be misused, resulting in repeated delays, inefficiency, and case accumulation. Consequently, the principle of simple, fast, and low-cost justice tends to remain declarative rather than operational. The study concludes that the effectiveness of this principle is significantly weakened by the lack of time regulation and suggests the need for reform through time-bound case management, stricter procedural control, and the integration of digital judicial systems to enhance efficiency and legal certainty.

Hydrogen-based hybrid microgrid systems have emerged as a promising solution to enhance renewable energy integration and improve energy supply reliability. By combining renewable sources such as solar and wind with hydrogen production and storage technologies, these systems address the intermittency of renewable power while ensuring continuous energy availability. This study evaluates the techno-economic feasibility, environmental impact, and scalability of hydrogen-based hybrid microgrids, with a focus on cost-effectiveness and system performance under varying operating conditions. Simulation tools, including HOMER Pro and MATLAB Simulink, are used to model the system and conduct sensitivity analyses on hydrogen production costs and demand fluctuations. Key performance indicators such as Levelized Cost of Energy (LCOE), Net Present Value (NPV), and CO₂ emissions reduction are assessed. The results show that although the system requires a high initial investment, it becomes economically viable over time due to reduced operational costs and improved efficiency. Additionally, the system demonstrates significant environmental benefits, outperforming conventional fossil fuel-based systems in terms of emissions reduction. Sensitivity analysis further indicates that advancements in hydrogen production technologies could substantially enhance economic feasibility. Overall, hydrogen-based hybrid microgrids offer a reliable and low-carbon energy solution, supporting sustainable energy transitions and reducing dependence on fossil fuels.

Introduction: Additive Manufacturing (AM) has revolutionized the production of complex geometries, offering flexibility, customization, and precision across various industries. However, optimizing multiple process parameters simultaneously to enhance AM performance remains a significant challenge. This study focuses on improving both mechanical properties and surface quality by utilizing multi-objective optimization techniques. Literature Review: The research reviews existing approaches in AM optimization, highlighting the limitations of single-objective optimization and the potential of multi-objective evolutionary algorithms (MOEAs). Previous studies demonstrate the difficulty of balancing competing objectives, such as tensile strength and surface roughness, within AM processes. Materials and Method: This study employs NSGA-II, MOEA/D, and SPEA2 algorithms to optimize AM parameters like layer thickness, build orientation, and infill density. The optimization aims to improve mechanical performance, including tensile strength and impact resistance, while reducing build time and surface roughness. The methodology integrates experimental validation with computational predictions to evaluate the effectiveness of these algorithms. Results and Discussion: The optimization process yielded Pareto-optimal solutions that balanced mechanical strength and surface quality. The results demonstrated improvements in tensile strength and surface finish without significantly increasing build time. Trade-off analysis highlighted the inherent conflicts between mechanical performance and surface quality, allowing for better decision-making in industrial applications. The study contributes to the AM industry by offering a comprehensive optimization framework for improving both efficiency and product quality.

Administrative letter services at the village (nagari) level are still largely conducted using conventional methods, resulting in various issues such as limited service hours, slow processing times, and risks of document loss. This study aims to develop a web-based letter service system with the implementation of digital signatures in Nagari Bukit Bais to improve efficiency, security, and transparency of public services. The research adopts the Agile Development method with an iterative approach, including requirement analysis, system design, implementation, and testing. The developed system enables citizens to submit requests online and is equipped with features such as officer verification, digital signing by the village head, automatic notifications, digital archiving, and document verification using QR Codes. Security mechanisms are implemented using SHA-256 cryptographic hashing and RSA-2048 digital signature algorithms, supported by X.509 digital certificates. Functional testing using end-to-end methods shows that all system features operate successfully without failures, while non-functional testing confirms the reliability of document security and integrity. The resulting system is able to automate the entire service process, reduce processing time, and ensure document authenticity and security. Therefore, this system can serve as a solution to support the digital transformation of public services at the village level.

The steering gear is a vital component in ship operations, functioning to control the ship’s direction accurately. The reliability of this system highly depends on the performance of the hydraulic system, where the mechanical seal plays a key role in maintaining system pressure and preventing oil leakage. This study aims to identify the main factors causing mechanical seal damage and analyze its impact on the performance efficiency of the steering gear AHTS Logindo Stamina. Qualitative data were obtained through participatory observation and in-depth interviews with the second engineer. Meanwhile, quantitative data were gathered by measuring technical parameters such as oil pressure, operating temperature, and rudder movement time, which were then compared with SOLAS standards. This damage results in oil leakage through the mechanical seal gap, abnormal noise in the hydraulic system, and a significant decrease in working pressure of -25,86%. The operational impacts include the occurrence of steering gear failure alarms, decreased hydraulic efficiency of 25.87%, and the risk of system failure that could endanger ship maneuverability. This study recommends preventive maintenance through oil quality monitoring, environmental condition control in the steering gear room, and periodic mechanical seal replacement in accordance with operational standards to maintaining optimal steering system performance.

This research is prompted by legal complications within civil procedural law, specifically regarding the failure of judges to identify formal defects in special powers of attorney during the preliminary stages of trial. The central focus of this study examines Decision Number 14/Pdt.G/2025/PN Kba, in which a lawsuit was declared inadmissible (Niet Ontvankelijke Verklaard) only after a seven-month litigation process that had already progressed through evidentiary hearings and local inspections. The objective is to evaluate the effectiveness of the dominus litis principle in empowering judges to provide procedural guidance for lawsuit amendments, while testing its alignment with the principles of simple, fast, and low-cost justice. Employing a normative legal research method with statutory and case-based approaches, the legal materials are analyzed qualitatively using the legal syllogism technique. The findings indicate that the application of the dominus litis principle in the a quo case remains ineffective due to the judges' passive and formalistic tendencies. Such an approach neglects the ex-officio authority mandated under Articles 119 and 132 of the HIR. This ineffectiveness results in significant judicial inefficiency, causing undue loss of time and financial resources for justice seekers. Consequently, this study recommends strengthening rigorous initial screening mechanisms by the panel of judges at the first hearing. This preventive measure is essential to curb the waste of judicial resources and ensure the realization of substantial justice for all disputing parties.

This study aims to examine how an online bajaj-based pick-up and drop-off service developed by a kindergarten is implemented. The bajaj application is considered an innovation in a community-based educational transportation system. The limitations of conventional pick-up and drop-off systems in providing optimal efficiency, transparency, and safety form the basis of this research. This study employed a qualitative approach using a case study method, with data collected through observation, interviews, and documentation. The results indicate that the use of the online bajaj application improves service quality through features such as booking services, real-time location tracking,and notifications to parents, which enhance time efficiency, transparency, and a sense of security. Compared to commercial transportation services, the community-based service model allows for more controlled operational management. However, challenges such as low digital literacy among users, limited network infrastructure, and potential data security risks were also identified. Critically, this innovation contributes significantly to the development of the smart mobility concept in the education sector, although it still requires improvement in terms of system sustainability and user data protection.

This study aims to analyze the optimization of regional expenditure in the education sector of Surabaya City for the 2025 fiscal year in supporting regional development. The research uses a descriptive qualitative approach through observation, interviews, and documentation studies conducted at the Surabaya City Education Office. Data were obtained from relevant stakeholders involved in education budget management and supported by official documents related to policies and the implementation of education programs. The results show that the management of education expenditure has been aligned with the Regional Medium-Term Development Plan (RPJMD) and applies the money follow program principle, which prioritizes programs based on community needs and development priorities. Programs such as Regional School Operational Assistance (BOPDA), educational assistance for students, school infrastructure development, and community-based learning innovations have contributed to expanding access to education, improving the equity of educational services, and reducing dropout rates. In addition, the use of monitoring systems, periodic evaluation, and the involvement of multiple stakeholders in supervision has strengthened transparency and accountability in budget management. However, several challenges remain, including limited implementation time, procurement constraints, and economic conditions such as inflation. Overall, education expenditure in Surabaya has been managed relatively well in terms of effectiveness, efficiency, and accountability while still requiring continuous improvement