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This article discusses innovations in cash waqf management through the integration of digital technology with the SatuWakaf.id platform developed by the Indonesian Waqf Board (BWI). The urgency of this research is driven by the need for a transformation in waqf governance to optimize the potential of the Sharia economy in the era of disruption. This study employs a literature review method with a qualitative approach to examine the role of digitalization in enhancing efficiency, transparency, and public participation in waqf. The findings indicate that digital waqf provides ease of access, transaction flexibility, and transparency through a real-time reporting system that is accountably accessible to donors (wakif). Furthermore, the integration of technologies such as QRIS, e-wallets, and internet-based systems effectively addresses various constraints of conventional waqf management, including limited reach and complex administration. However, significant challenges remain, such as low public literacy, limited technological competence among waqf managers (nazir), and cyber security risks surrounding digital transactions. Consequently, the optimization of digital waqf requires strong synergy between human resource development, adaptive regulatory strengthening, and the development of inclusive technological infrastructure to ensure that national waqf potential is fully utilized for the welfare of the community.

Libraries play a crucial role in broadening the public's knowledge horizons by improving literacy skills. However, the reality at the Samaturu Library in Jambu Malea Village shows that manual management still dominates, leading to various administrative obstacles such as data irregularities, the risk of losing important information, and inefficiencies in tracking daily activities. This condition demands digital transformation to optimize public services at the village level comprehensively and sustainably. This research focuses on the development of a web-based library information system specifically designed to modernize administrative processes to be more systematic, fast, and organized. Built using the PHP programming language and MySQL database, this platform offers an intuitive interface for both staff and members. Its superior features include book data management, membership, activity agendas, announcements, and digitizing the borrowing and return process. Furthermore, the system is capable of automatically generating periodic reports to facilitate library performance evaluation. Based on the results of comprehensive testing using the Black Box Testing method, all system functionality was proven to operate optimally according to the required specifications. Direct user trials also showed very positive responses regarding aspects of ease of navigation and operational time efficiency. The implementation of this system is expected to improve the effectiveness of internal management, accelerate the quality of services to library users, and become a major catalyst in realizing superior digital literacy governance in rural areas.

Communication is an essential human right, yet a significant communication gap persists between individuals with sensory disabilities, specifically the deaf and speech-impaired, and the general public. While many technological solutions have been proposed to translate sign language, existing models primarily rely on heavy deep learning architectures such as Convolutional Neural Networks (CNN) or Recurrent Neural Networks (RNN/LSTM). These models often demand high computational power, leading to latency and limiting real-time application on standard devices. This study proposes a lightweight, fast, and highly responsive sign language translation system specifically designed to recognize static alphabets (A-Z) and single-character air writing. The system utilizes MediaPipe for hand tracking, where feature extraction is intelligently processed by calculating the relative spatial coordinates of fingertips to the wrist, reducing dependency on raw camera coordinates. Classification is performed using a Support Vector Machine (SVM) with a Radial Basis Function (RBF) kernel, prioritizing computational efficiency without sacrificing accuracy. To enhance user experience, the system introduces three key novelties: smart relative feature extraction, an anti-duplication hold system with a 1-second timer to prevent input spamming, and a non-blocking multithreaded audio execution (Daemon Thread) utilizing Google Text-to-Speech (gTTS), ensuring the webcam feed remains fluid during audio playback. Additionally, an alternative air-writing mode is integrated, utilizing geometric heuristics and PyTesseract OCR to read single drawn letters in the air. The results indicate that the proposed system operates swiftly and efficiently, bridging the communication barrier with a hardware-friendly approach.

The rapid digital transformation in educational institutions demands an efficient student grade data processing system capable of handling workloads responsively. This study aims to analyze and compare the efficiency of sorting algorithms (Merge Sort and Quick Sort) and searching algorithms (Linear Search and Binary Search) on a web-based platform. The research method employed is laboratory experimental, testing algorithm performance across various data volume stratifications, ranging from 50 to 1000 entities, using the V8 JavaScript engine. Research findings indicate that Quick Sort possesses superior speed compared to Merge Sort due to its efficient in-place sorting architecture, which minimizes memory overhead and Garbage Collection activity. Furthermore, a performance anomaly was discovered where the Just-In-Time (JIT) Compiler mechanism optimizes execution on large data volumes through a warm-up phase. In the searching aspect, Binary Search demonstrates superior O(log n) logarithmic stability compared to Linear Search, which risks causing interface freezing on massive data. The implication of this study is the critical importance of implementing data pre-sorting protocols to exploit logarithmic search speeds to ensure academic information system scalability. The integration of appropriate algorithms proves to be a crucial foundation in maintaining web application responsiveness amidst the ever-increasing escalation of educational data.

Inventory management is a crucial aspect of business sustainability, particularly for Micro, Small, and Medium Enterprises (MSMEs) that often face limitations in data management and technological adoption. Selaras Muba Lestari is Incubation Center, which supports MSMEs in Musi Banyuasin Regency, encounters challenges in managing product inventory due to reliance on manual recording systems. This study aims to design and develop a web-based inventory application using the Laravel framework to improve the efficiency and accuracy of stock management. The research adopts the Software Development Life Cycle (SDLC) Waterfall model, which includes requirements analysis, system design, implementation, and testing. The results indicate that the developed system is capable of improving data accuracy, accelerating the recording process, and providing real-time inventory reports. Furthermore, this study reinforces previous findings that digitalizing inventory systems serves as a strategic solution to enhance the competitiveness of MSMEs.

The rapid evolution of digital technologies has fundamentally reshaped tax administration systems, particularly for Micro, Small, and Medium Enterprises (MSMEs), which constitute a critical driver of economic development yet continue to demonstrate suboptimal levels of tax compliance. This study aims to critically examine the role of Application Programming Interface (API)-based tax automation in enhancing MSME tax compliance through a systematic narrative literature review approach. Employing a qualitative design, this study synthesizes recent scholarly works published within the last five years to identify patterns, relationships, and emerging trends in digital taxation practices. The findings indicate that API-based automation significantly improves administrative efficiency, minimizes human error, and facilitates real-time data integration between taxpayer systems and tax authorities. Moreover, such integration enhances transparency and reduces compliance costs, thereby fostering voluntary compliance behavior among MSMEs. Nevertheless, the effectiveness of this technological intervention is contingent upon several structural and behavioral factors, including digital literacy, technological readiness, and the availability of reliable digital infrastructure. Persistent disparities in these areas may constrain the scalability and inclusiveness of API implementation. This study underscores that API-based tax automation represents a transformative policy instrument in modernizing tax administration systems, provided it is supported by coherent regulatory frameworks, capacity-building initiatives, and equitable infrastructure development. The findings contribute to the broader discourse on digital taxation by offering a conceptual foundation for developing adaptive and sustainable compliance strategies in the era of economic digitalization

Based on the analysis, (1) the support aspect has been implemented effectively, as evidenced by strong leadership commitment, policy support, the availability of facilities and infrastructure, adequate budget allocation, and solid inter-agency coordination, although technical constraints such as network disruptions remain. Further, (2) the capacity aspect is categorized as relatively adequate, reflected in the readiness of human resources, the availability of technological infrastructure, clear standard operating procedures, and the implementation of training programs, despite the need for further enhancement of technical competencies and network quality. Lastly, (3) the value aspect demonstrates highly positive outcomes, as the Warkop Samsat program provides significant benefits, including improved service quality, time and cost efficiency, service convenience, increased user satisfaction, and enhanced public compliance with motor vehicle tax payments In conclusion, public service innovation through the Warkop Samsat program in Gorontalo City has been effectively implemented, generating positive impacts for the community. However, further strengthening of technical aspects and capacity development is required to ensure the program's sustainability.

This study examines the comparison between litigation and Alternative Dispute Resolution (ADR) in resolving business conflicts in Indonesia. The increasingly complex nature of business activities has led to a variety of conflicts, such as breach of contract, share ownership disputes, and payment issues, which require efficient resolution methods that provide legal certainty. This study aims to explore the characteristics, procedures, advantages, and disadvantages of dispute resolution through litigation and ADR, which include negotiation, mediation, conciliation, and arbitration. The method applied is normative juridical, drawing on legislation, legal doctrine, and relevant literature. The research findings indicate that litigation offers stronger legal certainty through binding court decisions and organized procedures, but is often time-consuming, expensive, and produces win-lose outcomes. On the other hand, ADR offers flexibility, confidentiality, efficiency, and the opportunity to reach mutually beneficial solutions, although in some situations it requires court confirmation for enforcement. Therefore, the choice of dispute resolution method needs to be adjusted to the nature of the conflict, the relationship between the parties, and the need for legal certainty.

Marriage confirmation services are often hampered by manual procedures, leading to delays and administrative errors. This study aims to design and implement a web-based Marriage Confirmation Information System to facilitate registration, document uploads, and online monitoring of verification status and court schedules. The system was developed using the PHP programming language and MySQL database using the Waterfall method, encompassing analysis, design, implementation, and testing. The results show that the system is capable of optimally performing all managerial functions, from document validation to report automation. Black Box testing confirmed that all features functioned as expected and were easy to use. In addition to improving bureaucratic efficiency, the system ensures data security through login encryption and provides transparency through real-time status tracking. The presence of this platform significantly saves time and transportation costs for the public, as bureaucratic processes can be monitored from anywhere. In conclusion, this system successfully supports the digitalization of public services and improves the quality of administration within the Office of Religious Affairs (KUA) and Religious Courts, thereby realizing more effective, efficient, accountable, and modern governance for all levels of society

The coal mining industry requires accurate stockpile volume measurements for inventory and production reporting. Conventional methods have limitations in accuracy, efficiency, and safety. This study compares the accuracy and efficiency of coal stockpile volume measurements using a Terrestrial Laser Scanner (TLS) Leica MS60 and an Unmanned Aerial Vehicle (UAV) DJI Matrice 4E, validated by the ASTM D6172-98 standard. Conducted on five Run of Mine (ROM) coal stockpiles covering 13,500 m² at PT XYZ, Lahat, South Sumatra, the TLS method used 43 scan positions, while the UAV employed 430 aerial images with specific flight parameters. Data were processed using Leica Infinity, Surpac, and Agisoft Metashape. The results showed volumes of 94,076 m³ (TLS) and 94,965 m³ (UAV), with a difference of 889 m³ (0.95%). Volume deviations ranged from 0.48% to 1.89%, with an average of 1.42%, all within the ASTM tolerance (<2%). Time efficiency analysis revealed that the UAV method required 200 minutes (3.33 hours), saving 63.3% (approximately 6.17 hours) compared to the TLS method (570 minutes). The largest efficiency gain occurred during field data acquisition, with an 85% reduction in time. This study confirms UAV photogrammetry as a valid, accurate, and efficient alternative for coal stockpile volume measurement in mining.

This research is motivated by the importance tank cleaning process on tankers to prevent cargo contamination, maintain cargo quality, and ensure crew safety. MT. Marina Prosperity, a chemical/oil tanker, uses the Butterworth system as the primary method for tank cleaning at every cargo change. However, in practice, technical and operational constraints are still found that affect the results of tank cleaning. The research method used is descriptive qualitative with data collection techniques through direct observation on the ship, interviews with the Chief Officer and Boatswain, and documentation studies in the form of log books and SOPs. Data were analyzed by focusing on three aspects, namely work efficiency, work safety, and operational procedures for using Butterworth. The results show that the use of Butterworth can increase time and energy efficiency compared to manual methods, with an average cleaning time of 2–4 hours per tank depending on the type of cargo. From a safety aspect, Butterworth reduces the need for crew to enter the tank, thereby reducing the risk of exposure to chemicals and hazardous atmospheres. However, work effectiveness and safety are greatly influenced by the condition of the equipment, the stability of water pressure, and the crew's discipline in implementing the SOP. On several occasions, steps such as nozzle cleaning, manual mopping, and safety meetings were not consistently performed, resulting in residual load in certain areas. With routine equipment maintenance, close supervision, and ongoing crew training, Butterworth can be optimized to produce more effective, safe, and standards-compliant tank cleaning process.

Time delays and cost overruns remain major problems in building construction projects, particularly in concrete structural works that dominate project duration and cost. This study aims to evaluate the application of re-engineering in concrete structural work methods on the time and cost performance of multi-storey building projects. A quantitative approach using a case study method was employed through comparative analysis between the existing method and alternative methods. The analyzed alternatives include ready-mix concrete with Sika Viscocrete 8007 admixture and semi-system formwork as Alternative I, ready-mix concrete with system formwork as Alternative II, and ready-mix concrete with Sika Viscocrete 8007 admixture combined with system formwork as Alternative III. The results show that all alternatives perform better than the existing method with a duration of 243 days. Alternative I reduced the duration to 208 days with cost efficiency of IDR 55,781,730 or 0.214 percent. Alternative II reduced the duration to 203 days with cost efficiency of IDR 187,553,261 or 0.724 percent. Alternative III achieved the best performance with a duration of 168 days, accelerating 75 days and providing the highest cost efficiency of IDR 243,334,991 or 0.941 percent. The study concludes that re-engineering effectively improves project time and cost performance, with Alternative III as the optimal method.

The implementation of active learning models such as Problem-Based Learning (PBL) and Project-Based Learning (PjBL) at the junior high school level is often constrained by the complexity of instructional time management. This study aims to examine the role of the principal’s instructional leadership in addressing time management dilemmas in the implementation of active learning at SMP Negeri 6 Panyabungan. A qualitative approach with a descriptive method was employed in this study. Data were collected through non-participant observation and in-depth interviews with key informants, namely the school principal and an Islamic Religious Education (PAI) teacher selected as representatives of field conditions. The findings reveal three main results. First, teachers’ time management constraints are caused by weak control of learning activity transitions, noisy classroom conditions during group division, and low initial student learning readiness. Second, the principal implemented several concrete interventions, including the adoption of block scheduling, clinical supervision focused on classroom management, and the optimization of the Subject Teacher Forum (MGMP) or school learning community. Third, these interventions improved teachers’ instructional efficiency, strengthened classroom activity control, and created a more structured active learning process. However, sustainability challenges remain, particularly resistance from senior teachers who tend to prefer conventional teaching methods. This study concludes that adaptive and solution-oriented instructional leadership is a key factor in addressing the complexity of time management constraints in active learning implementation.

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.

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.

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.

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.

This research focuses on the creation and implementation of a web-based Geographic Information System (GIS) to map the position of Automated Teller Machines (ATMs) in Wonomulyo District, Polewali Mandar Regency. The rationale behind this research is rooted in the rapid economic and demographic development in the area, which requires easy access to financial services. However, the distribution of existing ATM points is still uneven, where people in rural areas often have to travel long distances to reach the nearest ATM. The method of creating this system involves the use of the PHP programming language along with a MySQL database. This system aims to present spatial information about the current ATM location accurately, thereby helping the public in finding banking services with high accuracy through an interactive map interface. In addition, this system offers optimal paths to ATM locations to improve user time efficiency. System evaluation was conducted using black box techniques to verify that the menu operations and application procedures function as intended. The findings indicate that the implementation of GIS improves public access while offering data assistance for financial institutions and local governments in developing a more equitable and systematic public facility allocation strategy in the future.