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The increasing complexity of urban road networks demands intelligent navigation systems capable of determining optimal routes efficiently. This research implements the Dijkstra Shortest Path algorithm to optimize route search on a location navigation system in Medan City. The system models a road network as a weighted graph comprising 57 strategic locations and over 90 road connections, represented using adjacency list data structures. The Dijkstra algorithm, implemented in Python using the heapq module for priority queue management, achieves an optimal time complexity of O((V+E) log V). The system features five main functions: shortest route search, popular routes, location listing, dynamic location addition, and dynamic road connection addition. System testing using a case study from Kualanamu Airport to the University of North Sumatra (USU) yielded an optimal route of 16.5 km through 4 road segments. Results demonstrate that the system successfully determines the most efficient route, provides accurate distance and travel time information for multiple transport modes (motorcycle, car, walking), and presents step-by-step journey guidance. This research contributes as a practical reference for applying shortest path algorithms in urban areas and serves as a foundation for developing more complex navigation applications in the future.

The distribution of social assistance in Indonesia faces challenges such as inaccurate recipient data, overlapping programs, and limitations of traditional data management systems that lead to inaccurate targeting of aid. This study proposes a social assistance distribution optimization system using the Greedy algorithm that assesses recipient priorities based on economic conditions, number of family members, location, and urgency of needs with certain weights to produce objective rankings. This system is implemented in a JavaScript-based web application without external frameworks, making it lightweight and easily accessible. Simulations with 20 prospective recipients and a quota of 10 slots and validation with a dataset of 10,000 entries show that the Greedy algorithm produces identical results to Dynamic Programming but is much faster (669 times faster). In terms of complexity, this algorithm has O(n log n) time and O(n) space, and meets the requirements of the Greedy Choice Property and Optimal Substructure, making it a practical and efficient solution for managing large-scale social assistance distribution in Indonesia.

This study aims to analyze the relationship between salaries, allowances, and employee productivity on company profitability. Human resources are an important factor in determining organizational success because employee quality and performance directly influence the achievement of company goals. Providing appropriate compensation, including salaries and allowances, can increase employee motivation, job satisfaction, and loyalty, thereby encouraging higher work productivity. High productivity reflects the company’s ability to utilize resources effectively and efficiently in order to produce optimal output. In addition, employee turnover is an important aspect that must be considered because it may affect operational stability and the company’s effectiveness in achieving business targets. Profitability is used as the main indicator to assess the company’s ability to generate profits from its operational activities. This study applies a quantitative method with an approach that examines the relationships among variables to obtain an overview of the influence of compensation and productivity on company profitability. The results of this study are expected to provide insights and recommendations for companies in managing human resources more effectively in order to improve financial performance sustainably.

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.

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.

This study is motivated by the importance of economic growth as a key indicator of regional development performance and public welfare improvement. Economic growth reflects the ability of local governments to manage resources and implement effective fiscal policies. This research aims to analyze the development and the influence of Local Own-Source Revenue, General Allocation Fund, and Special Allocation Fund on the economic growth of regencies/cities in Jambi Province during the period 2020–2024. The study employs a quantitative approach combined with descriptive analysis. Secondary data are obtained from official publications of relevant institutions and analyzed using panel data regression with the Common Effect Model approach. The results indicate that Local Own-Source Revenue and the General Allocation Fund have a significant effect on economic growth, showing that the increase in regional revenue and fiscal transfers contributes to economic performance. Meanwhile, the Special Allocation Fund does not have a significant effect, indicating that its allocation may not be optimally utilized in stimulating regional economic activities. These findings imply that strengthening regional fiscal capacity and improving the effectiveness of fund allocation are essential to promote sustainable economic growth. The study also highlights the need for better policy coordination and efficient financial management at the regional level to reduce disparities and enhance development outcomes.  

The abuse of authority by public officials within Indonesia’s governmental administration has become an increasingly urgent issue to address. Such misconduct undermines the fundamental principles of good governance  including transparency, accountability, and justice which are essential for ensuring efficient and effective government operations. This study aims to conduct an in-depth analysis of the forms of abuse of authority by public officials, the factors influencing such behavior, and its impact on the effectiveness of governance and public trust. The research employs a normative approach with a prescriptive legal method, analyzing legislation related to the abuse of authority as well as a case-based approach to explore the implementation of authority by public officials in governmental practice.The findings indicate that abuse of authority may occur in various forms, such as exceeding the limits of granted power, conflating different authorities, or acting arbitrarily for personal or group interests  all of which contradict the principle of legality governing governmental actions. Moreover, such practices negatively affect the quality of public services and tarnish the image of governmental institutions. The study also finds that although Law No. 30 of 2014 on Government Administration provides a clear legal framework, its implementation remains hindered by weak internal and external oversight systems. Therefore, this research recommends strengthening more effective supervision mechanisms, enhancing transparency in administrative decision-making processes, and involving the public in monitoring efforts to ensure that public officials exercise their authority in accordance with established objectives in pursuit of a clean and just government.

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.

This study aims to analyze the phenomenon of slang usage on the TikTok social media platform as a form of linguistic adaptation in digital communication. Using a qualitative descriptive approach, this research examines how users modify language structures to create more effective, expressive, and socially meaningful interactions. Data were collected through participatory observation of content appearing on the For Your Page (FYP) feature and analyzed using textual and contextual methods. The findings reveal that slang formation on TikTok occurs within three main domains: phonological transformation through sound reduction to produce linguistic aesthetics, morphological modification through the creation of efficient acronyms, and cognitive-semantic shifts that redefine the meanings of existing vocabulary. These findings demonstrate that slang is not merely a temporary communication trend, but also functions as an important sociolinguistic instrument for constructing group identity, strengthening emotional connections, and reflecting the cognitive and cultural dynamics of contemporary digital society amid the rapid development of information technology.

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

Optimization problems in computer science often arise when a system must select the best combination from several alternatives under limited resources such as capacity, time, or cost. One commonly used optimization model is the Knapsack Problem, which involves selecting a number of items with specific weights and values to obtain the maximum profit without exceeding the available capacity. This study aims to analyze and compare the performance of the Greedy algorithm and Dynamic Programming in solving the 0–1 Knapsack Problem. The research employs a quantitative experimental approach by implementing both algorithms in a computer program and testing them on several datasets with different sizes. The evaluation parameters include the maximum value obtained and the algorithm execution time. The results show that the Greedy algorithm has faster execution time and more efficient memory usage, but it does not always produce an optimal solution. In contrast, the Dynamic Programming algorithm consistently produces an optimal solution, although it requires greater computational time. Therefore, the choice of algorithm should be adjusted to system requirements, whether prioritizing computational efficiency or optimal solution quality.

Advances in information technology have brought significant changes to how Micro, Small, and Medium Enterprises (MSMEs) conduct their business operations, particularly in the areas of marketing and sales. However, Stretto Pizza MSME still relies on manual processes for ordering and transaction recording, which results in limited marketing reach, suboptimal data management, and an increased risk of errors in recording. This study aims to develop a web-based e-commerce information system that can integrate sales processes and data management more effectively. System development was conducted using the Waterfall method, which includes the stages of requirements analysis, design, implementation, testing, and maintenance. The system was built using the PHP programming language with MySQL database support. System testing was performed using the Black-Box Testing method to ensure that every feature functions according to user needs. The research results show that the designed system is capable of supporting product ordering processes, customer data management, sales transactions, and report generation more efficiently. With this system, it is hoped that the Stretto Piza SME can improve its operations while expanding its marketing reach through the use of digital technology.

The amalgamation and flotation methods are widely used by miners because the methods are simple, fast and easy. The purpose of this study was aims to test the effectiveness of gold recovery using the amalgamation and flotation methods in conventional gold processing. The research methods used were observation and testing using the amalgamation and flotation methods in conventional gold processing. The effectiveness analysis was carried out by calculating the percentage of gold produced in the amalgamation and flotation processing methods. The test was carried out on 10 samples, each weighing 10 kg. The amalgamation process used a Hg solution, while flotation used a detergent reagent. The total primary gold processing using the amalgamation method was 11.46 grams, while the total primary gold recovery using the flotation method was 12.15 grams. The results of gold processing using the flotation method were higher than those using amalgamation because flotation can separate gold more efficiently from ore containing various impurity minerals. Meanwhile, the amalgamation method, which uses mercury, tends to be less effective and loses some of the gold because it only binds very fine and dispersed gold particles, while flotation can handle ore with lower gold content and larger gold particles.

The increasingly complex global energy problem drives the need for efficient, low-cost, and environmentally friendly energy storage systems. This study aims to analyze the power performance of two symmetric supercapacitor prototypes using Nitrogen-doped Graphene-Like Carbon (N-GLC) as the electrode material and 1 M  as the electrolyte, with different electrode substrates: aluminum and copper. Both prototypes were tested through charging and discharging processes using resistive loads of 470 ohms and 560 ohms for 5 minutes. The analyzed parameters include voltage, current, power, and output energy. The results show that the aluminum electrode achieved a higher maximum charging power of up to 18 mW; however, its energy discharge efficiency was very low at only 0.87%. In contrast, the copper electrode demonstrated a more balanced charging and discharging performance with an energy discharge efficiency of 19.4%. Analysis also indicates that the copper substrate maintains better voltage stability after 6 hours of storage compared to aluminum, which experienced significant degradation. Thus, the copper electrode is superior in maintaining the power and stability of a simple N-GLC-based symmetric supercapacitor system.

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 aims to develop an information system for the Imam Malik Koppe Mosque in Darma Village, Polewali District, Polewali Mandar Regency, utilizing the eMasjid platform as a solution for digitally managing mosque activities. The problem faced was the suboptimal recording of activity data, financial data, and service information for the congregation. The system development method used the Waterfall model, which consists of needs analysis, system design, implementation, testing, and maintenance. The result of this research is a mosque information system capable of presenting information on activities, financial data, reports, and communication between administrators more efficiently, transparently, and accountably. This system is expected to be an effective and user-friendly means of digitizing mosque management.

Educational financing management plays an important role in improving the quality of education in primary schools. However, limited school operational funds often become an obstacle to achieving optimal educational outcomes. This study aims to analyze the efficiency of educational financing as a strategy for improving education quality at SDN Mekarjaya, Tasikmalaya Regency. The research employed a qualitative descriptive approach with a case study design. Data were collected through interviews, observations, and documentation studies involving the principal, teachers, and school financial documents. The findings indicate that the implementation of data-based planning, priority-scale budgeting, digital financial administration through the ARKAS application, and collaboration with various stakeholders contributed positively to improving school quality. Financing efficiency supported literacy programs, teacher competency development, learning effectiveness, and school management improvement. Although the school still faced challenges related to limited funding sources and administrative constraints, efficient financial management enabled the school to optimize available resources effectively. This study concludes that efficient, transparent, and accountable educational financing management can serve as a strategic instrument in supporting sustainable improvement in the quality of primary education.

This study aims to evaluate the determinants of organizational sustainability within the Doctor Peduli Foundation (doctorSHARE), specifically regarding its Floating Hospital program. Specifically, it examines the influence of stakeholder support and operational efficiency on organizational sustainability, while analyzing the role of organizational innovation as a mediating variable in ensuring the continuity of medical services in remote areas. Employing a quantitative approach with a survey method, data were collected from 81 respondents comprising staff and volunteers directly involved in the Floating Hospital's operations. Structural Equation Modeling (SEM) was utilized to analyze the data and test the proposed hypotheses.The results reveal that stakeholder support does not have a significant direct impact on either organizational sustainability or innovation performance. Conversely, operational efficiency emerged as a dominant factor with a significant positive influence. Furthermore, organizational innovation was found to play a crucial role as a mediator, strengthening the impact of operational efficiency on organizational sustainability.This study concludes that the sustainability of non-profit organizations such as doctorSHARE is determined more by management's ability to optimize internal resources efficiently and innovatively than by reliance on external support. Consequently, strengthening internal operational systems should be a primary strategic priority to ensure long-term organizational existence.

This study aims to analyze the comparison of equity-based financing decisions and sukuk from the perspective of Sharia principles in companies in Indonesia. The development of the Islamic capital market in Indonesia shows a significant increase in the use of financing instruments that comply with Islamic principles, thereby encouraging companies to consider funding alternatives that are not only financially efficient but also Sharia-compliant. In the framework of Sharia financial management, capital structure decisions must consider the prohibition of usury, the principle of risk sharing, fairness in risk distribution, and contract certainty. This research uses a qualitative approach with a literature study method thru the analysis of various scientific journals, regulations, and academic sources related to capital structure theory, the concept of Sharia equity, and the characteristics of corporate sukuk in Indonesia. The study results indicate that equity-based financing provides flexibility in capital structure and reflects a risk-sharing mechanism, but it has the potential to cause ownership dilution. Meanwhile, sukuk offers asset-based financing with a clear contractual structure and does not dilute company ownership, although it requires an underlying asset and a more complex issuance process. Comparatively, both instruments have Sharia legitimacy as long as they meet the screening requirements and contract structures applicable in Indonesia. This research emphasizes that corporate financing decisions in Indonesia need to consider the balance between financial efficiency and compliance with Sharia principles.

The shaft is a crucial component in mechanical systems because it serves to transfer power and rotational motion throughout the machine. This research aims to assess the structural strength and operational performance of shafts used in a tire shredding machine through numerical simulation methods in order to achieve a safe and efficient design. The study involved several stages, including the development of shaft geometry models, the determination of boundary conditions, load application, mesh generation, and stress analysis using the finite element method. Two shaft configurations were examined: a 59 mm diameter shaft made from AISI 1045 steel and a 49 mm diameter shaft manufactured from ASTM A36 steel. The simulation results indicate that the 59 mm shaft experiences a Von Mises stress of 8.9 × 10⁻⁵ MPa, with a maximum displacement of 0 mm and a safety factor of 15. Similarly, the 49 mm shaft shows a Von Mises stress of 8.4 × 10⁻⁵ MPa, no measurable displacement, and a safety factor of 15. These findings confirm that both shaft designs are capable of safely withstanding the applied working loads. In addition, cutting system tests revealed that a 24-tooth blade achieved an efficiency of 26.9%, while a 40-tooth blade reached only 22.3%, indicating that the 24-tooth configuration provides better performance.