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In high-performance computing (HPC) environments, the need to balance memory efficiency and query performance is crucial for ensuring optimal system performance. Traditional data structures, such as B-trees and hash tables, often prioritize either memory usage or query speed, leading to suboptimal performance in memory-constrained systems. This paper proposes a hybrid data structure that combines the strengths of multiple traditional data structures to optimize both memory usage and query processing speed. The proposed hybrid structure integrates cache-conscious algorithms, dynamic memory allocation, and compression techniques for intermediate query results. The approach is evaluated through extensive benchmarking tests comparing it to standard data structures like B-trees and hash tables under various workloads. Results show that the hybrid data structure reduces memory overhead by up to 30% while maintaining query processing speeds up to 1.5 times faster than conventional methods. Furthermore, the hybrid structure demonstrates robust performance across different types of queries, including both point and range queries, ensuring versatility and efficiency. The findings indicate that this hybrid approach provides a promising solution for HPC systems, where both memory efficiency and query speed are essential. Future research can explore extending the hybrid structure to distributed systems and emerging technologies, further improving its scalability and adaptability to new computational paradigms.

The increasing integration of Cyber physical Systems (CPS) into industrial environments has highlighted the need for secure, scalable, and efficient cryptographic key management systems. Traditional centralized key management protocols are often limited by vulnerabilities such as single points of failure, scalability issues, and significant overhead. Blockchain technology presents a promising solution to these challenges by leveraging decentralization, immutability, and transparency to enhance security and efficiency in CPS. This study investigates the use of blockchain based cryptographic key management systems, focusing on smart contracts for automated key distribution and rotation. Experimental results demonstrate that blockchain based systems significantly improve system integrity, auditability, and resilience, offering enhanced protection against cyber-attacks and reducing the risks associated with centralized systems. Blockchain’s decentralized architecture eliminates the need for a central authority, making it more resistant to tampering and operational failures. Additionally, smart contracts automate the key management process, improving efficiency while maintaining a high level of security. The study also evaluates the impact of blockchain on communication performance, finding that it reduces latency and overhead by automating processes and eliminating the need for centralized control. Despite these advantages, challenges such as scalability, latency, and integration with legacy systems remain. The study concludes by suggesting future research directions, including the development of lightweight blockchain protocols tailored for industrial applications and the integration of blockchain with emerging technologies like Artificial Intelligence (AI) to further enhance key management in CPS. Blockchain based solutions have the potential to transform the security landscape of industrial environments, offering greater robustness, reliability, and trust.

Explainable Artificial Intelligence (XAI) has become a critical area of research within artificial intelligence, focusing on improving the transparency and interpretability of machine learning (ML) models, often referred to as "black-box" models. The need for XAI techniques arises from the inherent complexity of ML models, which can make their decision-making processes difficult for users to understand. This study investigates various XAI techniques, including LIME (Local Interpretable Model-agnostic Explanations) and SHAP (SHapley Additive exPlanations), to assess their impact on model interpretability without significantly compromising predictive performance. A comparative experimental design was used, applying these XAI methods to different ML models, including deep neural networks and ensemble methods, within large-scale enterprise data analytics systems. The results indicate that XAI methods significantly enhance model transparency and decision traceability, allowing users to understand the influence of individual features on predictions. While a slight reduction in predictive accuracy was observed, especially with simpler models, the trade-off between interpretability and performance was deemed acceptable, particularly in fields requiring transparency, such as healthcare, finance, and autonomous systems. The use of XAI in enterprise data systems has practical implications for fostering trust and enabling informed decision-making among stakeholders. Furthermore, the study discusses the challenges and limitations of applying XAI techniques, such as complexity, scalability, and model-specific limitations. Future research is suggested to focus on developing more scalable and efficient XAI methods, enhancing their applicability across various model types, and addressing the challenges of real-time applications. This will be crucial in ensuring the widespread adoption of XAI in critical domains, promoting the ethical use of AI while maintaining predictive accuracy.

This study focuses on analyzing the application of cloud computing as a supporting infrastructure for digital transformation in the implementation of Smart City at the Communication and Information Agency (Diskominfo) of Muara Enim Regency. In the era of digital transformation and accelerated urbanization, the need for smart city management based on information technology has become increasingly urgent. Cloud computing plays a strategic role in providing integrated, scalable, and efficient data services to support the effectiveness of public services and data-driven decision-making. This study aims to analyze the extent to which cloud computing has been implemented in the Muara Enim Diskominfo environment, identify the supporting and inhibiting factors of its implementation, and evaluate its contribution to the achievement of Smart City objectives. This study uses a comparative approach with data collection techniques through interviews, observation, and documentation studies. The results of the study show that the implementation of cloud computing at the Muara Enim Communication and Information Agency is still in the development stage, with positive achievements in data management efficiency and inter-unit collaboration, but facing obstacles in terms of system integration and human resources. This research contributes to strengthening academic understanding of cloud computing implementation strategies in the context of local government, as well as providing practical recommendations for policy makers to improve digital infrastructure readiness towards a sustainable Smart City.

This study investigates the determinants of capital structure within the healthcare industry, focusing on the influence of asset structure, profitability, and company size. Given the capital-intensive nature of healthcare—characterized by significant investments in medical technology and infrastructure—understanding how these firms balance debt and equity is critical for financial sustainability and operational growth. Using a quantitative approach, this research analyzes a panel dataset of healthcare companies listed on the Indonesian Capital Market from 2018 to 2023. Furthermore, the capital structure is quantified by the debt-to-equity ratio. Meanwhile, asset structure, profitability, and company size are measured by the ratio of fixed assets to total assets, return on assets, and the natural logarithm of total assets, respectively. Moreover, the data are analyzed using multiple linear regression, supported by the classical assumption testing. As a result, asset structure has a significant positive impact on capital structure, aligning with the static trade-off theory. Conversely, profitability demonstrates a significant negative relationship with capital structure, supporting the pecking order theory. Finally, company size positively affects capital structure, indicating that larger firms have greater access to debt financing. These findings suggest that healthcare managers should optimize their asset utilization and internal reserves to maintain an efficient capital structure that supports long-term healthcare delivery and investor confidence.

This community service activity aimed to enhance the security and efficiency of halal certification mentoring services at the Aurum First Sunrise community in Surakarta. The main challenge faced by the partner was the risk of sensitive SME data leakage such as ID cards, recipes, and supply chain information, due to the lack of an adequate document security mechanism. The core solution implemented was Technology Implementation in the form of a Cryptographically-based Document Management Information sistem (utilizing the Light Weight PDAC algorithm) integrated with digital access rights management and user Training. Evaluation demonstrated successful implementation, evidenced by an increase in the average satisfaction of SMEs regarding data security to 97.8%, confirming enhanced trust. Furthermore, digitalization successfully improved the efficiency of the mentoring team, reflected by a satisfaction score of 85.0%. In conclusion, this service successfully transformed the partner into a secure, efficient, and credible mentoring institution, significantly supporting SMEs in accessing halal certification.

The management of material and labor costs at Gregors Barbershop is still manual and not formally structured, resulting in wastage of consumable materials, suboptimal labor utilization, and difficulties in determining service prices that align with the expected profit margins. Material costs, such as hair gel, tissues, disposable razors, and alcohol/disinfectants, are not recorded systematically, leading to frequent mismatches between stock and actual needs, while labor costs are calculated improvisationally without considering productivity and service targets. This activity aims to improve the ability of owners and employees to plan, control, and evaluate operational costs systematically, ensuring efficiency, resource optimization, and business profitability. The method uses an applied, hands-on approach, including the identification of partner needs, preparation of relevant training modules, direct operational mentoring, and evaluation with follow-up. The object of the activity is Gregors Barbershop in Batu Aji District, Batam City, which offers services such as modern men’s haircuts, classic shaves, shaving, hair treatments, and the sale of grooming products like pomade and hair oil. The results show increased efficiency in the use of consumable materials, more productive labor management, more systematic cost planning, and the ability to set service prices in line with costs and profit margins. It is recommended to implement a digital recording system and productivity-based incentives to ensure more accurate cost control, more efficient operations, and sustainable business profitability.

This study aims to assess the financial performance of the Sukoharjo Regency Government during the 2023-2024 period by employing cash flow statements as the primary analytical tool. Cash flow statements are considered essential as they provide a clear picture of liquidity conditions and the actual capacity of local governments to manage cash inflows and outflows. This research applies a descriptive quantitative approach using secondary data obtained from audited Budget Realization Reports and Cash Flow Statements. Financial performance is evaluated through revenue effectiveness ratios and expenditure efficiency ratios as key indicators of fiscal management. The results indicate that regional revenue realization consistently exceeded the established targets throughout the study period, placing revenue performance in the very effective category. This finding reflects the local government’s ability to maximize revenue potential during the post-pandemic economic recovery phase. However, the analysis of expenditure efficiency reveals that spending management has not yet reached an optimal level, as expenditure realization remained close to the allocated budget limits. These findings demonstrate that strong revenue performance does not necessarily correspond with efficient expenditure control. Consequently, local government financial performance should be evaluated comprehensively by integrating both revenue effectiveness and expenditure efficiency perspectives. This study contributes empirically to public sector accounting literature and offers practical insights for policymakers to strengthen budget control mechanisms and promote sustainable financial management at the regional level.    

This study aims to develop a Student Progress Assessment Information System for PAUD Laskar Pelangi as a solution to various problems that arise in the academic data management process, which was previously carried out manually. The management of student grades, student data, class data, and subject data often encountered obstacles such as delays, recording errors, difficulty in searching for data, and inaccuracies in report preparation. To overcome these issues, a web-based information system was developed to manage all data in an integrated and more efficient manner. The system development method used the Website Development Life Cycle approach, and the application was implemented using the PHP programming language. The system is designed to enable the admin to manage student data, class data, subject data, grades, and automatically generate student grade reports. Database implementation was carried out to ensure that data is stored properly and can be accessed easily. Functional testing was conducted to ensure that all features operate according to user needs. The results of the study show that the developed information system is capable of improving administrative efficiency, accelerating the grade processing workflow, minimizing recording errors, and generating student grade reports quickly and accurately. Therefore, this system provides significant benefits for PAUD Laskar Pelangi in improving the effectiveness of academic administrative management and can be further developed according to the school's needs.

This research aims to develop an E-Catalog Information System for the Library of SMPK St. Yohanes Wewewa Barat as a digital platform that provides students and teachers with fast, accurate, and efficient access to book collection information. The system is designed to replace the previous manual book search process, which often caused delays and reduced the effectiveness of library services. The development of this system applies The Model-View-Controller (MVC) method structures the system by dividing it into three distinct parts: the model, the view, and the controller, each with its own specific function resulting in a structured architecture that is easier to manage, maintain, and improve. This method was chosen because it supports modular development and provides flexibility for future system enhancements. The results of this study show that the developed e-catalog system functions properly and performs well according to the intended design. All main features, including book searching, book detail display, and book data management, operate optimally without significant issues. Moreover, the system helps improve the efficiency of library services and enhances the user experience in accessing digital book information.

Steganography is a technique for hiding secret data within digital media such as images, audio, and video without causing noticeable visual changes. In video media, this technique offers advantages because each frame can be utilized dynamically, resulting in a larger data embedding capacity. However, conventional methods such as fixed-number Least Significant Bit (LSB) embedding still face limitations in balancing visual quality, embedding capacity, and resistance to compression or noise. To address these challenges, this study proposes an Adaptive Video Steganography Method based on Multi-Bit LSB that employs brightness, texture, and motion analysis for each frame to determine the number of embedding bits adaptively. The system adjusts the embedding capacity according to the local characteristics of the video: areas with high texture or rapid motion are assigned more bits, while static or low-texture areas use fewer bits to preserve visual quality. After the embedding process, the video quality is evaluated using PSNR (Peak Signal-to-Noise Ratio) and SSIM (Structural Similarity Index Measurement) to assess its similarity to the original video. Experimental results show a PSNR value of 45.86 dB and an SSIM value of 0.9441, Thus, the proposed adaptive method proves to be efficient, robust against disturbances, and capable of maintaining data security without compromising visual quality, making it highly suitable for implementation in multimedia-based information security systems.

Communication is a fundamental element in the development of entrepreneurship, particularly within edupreneurship, which integrates educational innovation with entrepreneurial values to address contemporary challenges in education. In an increasingly competitive and digitally driven educational landscape, edupreneurs are required not only to possess pedagogical competence but also strong communication skills to sustain and scale their initiatives. This study aims to analyze the role of effective communication in strengthening edupreneurship competencies. The research employs a literature review method by synthesizing and analyzing relevant theories and previous studies on communication, entrepreneurship, and edupreneurship. The findings indicate that effective communication plays a significant role in enhancing key edupreneurship competencies, including negotiation skills, leadership capacity, personal branding, and adaptability to digital transformation. Communication also functions as a strategic tool for building trust, expanding professional networks, fostering collaboration, and creating supportive learning ecosystems within educational enterprises. Moreover, effective communication enables edupreneurs to articulate value propositions clearly, manage stakeholders efficiently, and respond flexibly to dynamic changes in educational markets. The implications of this study emphasize that communication competence is not a complementary skill but a core requirement for sustainable edupreneurship development. Therefore, systematic communication training and the integration of communication-based learning strategies are strongly recommended within entrepreneurship education programs, particularly for prospective edupreneurs, to support long-term innovation, competitiveness, and sustainability in the education sector.

This literature study examines hydroponic solutions (urban agriculture), particularly through hydroponic methods, as a response to the issue of significant urban agricultural land shrinkage and land conversion. Data shows a drastic reduction in rice fields in Sukawati District, Bali, from 497.24 Ha in 1985 to only 211.42 Ha in 2016, accompanied by a change in the profession of residents from farmers to entrepreneurs. This land conversion not only reduces agricultural areas but also has the potential to eliminate farmers' livelihoods. The method used is a literature review (narrative review) to collect and analyze studies related to the use of hydroponics in maximizing limited land in urban areas. The results of the discussion focus on hydroponic training provided to housewives from the Family Welfare Movement (PKK) and the City Youth Organization (Karang Taruna). This training aims to empower and utilize the free time of housewives, covering materials from the basic concepts of hydroponics, seed preparation, planting, maintenance, to harvesting. Hydroponic practices have been responded to positively by residents, and the PKK/Karang Taruna group is prepared to become mentors for other members. The benefits of hydroponics were emphasized as a highly efficient cultivation method, capable of saving up to 70-90% of water, enabling year-round food production, and providing faster and higher plant growth and yields. The outcome of this activity was the establishment of a communal hydroponic garden and each member's plan to grow hydroponically independently, demonstrating the success of hydroponics as a real solution to improving food security and sustainability in dense urban environments.

This study examines the utilization of social media in improving the competitiveness of cassava chips and lidah manis SMEs in Pematang Serai Village, Tanjung Pura District, Langkat Regency, North Sumatra Province. The rapid development of information technology has encouraged SMEs to shift from conventional marketing methods to more effective and efficient digital marketing practices. This research employs a descriptive qualitative approach, with data collected through field observations, in-depth interviews, and documentation involving SME actors. The results indicate that the use of social media platforms such as WhatsApp, Facebook, and Instagram is able to expand market reach, increase product visibility, and strengthen relationships between business owners and consumers. Attractive promotional content, consistency in posting, and responsive communication are proven to influence consumer buying interest and trust. However, SMEs still face challenges, including limited digital literacy, time management constraints, and the lack of structured marketing strategies. Therefore, continuous training and assistance are needed so that SMEs can optimize the use of social media more effectively. This study is expected to serve as a reference for the development of digital-based SMEs in rural areas.

Knee osteoarthritis (OA) is one of the leading causes of disability among the elderly population. This degenerative joint disease is characterized by progressive damage to the articular cartilage and structural alterations of the knee joint, resulting in pain, reduced mobility, and diminished quality of life. This Community Service Program (PKM) aimed to promote early detection of knee OA through simple radiological screening as a preventive strategy to reduce the risk of musculoskeletal disability. The activity was conducted at Asisi Church, South Jakarta, involving 87 participants aged 54–87 years (mean 70.77 ± 7.32 years). Radiological examination was performed using standard anteroposterior knee X-rays, and results were classified according to the Kellgren–Lawrence grading system. Findings revealed that 98.9% of participants exhibited radiological signs of OA, predominantly grade II (60.9%), followed by grade III (21.8%), grade I (11.5%), and grade IV (4.6%), while only 1.1% showed normal results. Female participants (74.7%) predominated across all OA grades, indicating hormonal and biomechanical influences on disease progression. The mean age increased with OA severity, supporting the degenerative theory that aging leads to decreased chondrocyte function and cartilage elasticity. In addition to screening, participants received education on weight management, muscle strengthening exercises, and injury prevention. The results demonstrate that simple radiological screening is an effective, practical, and cost-efficient community-based approach for early detection of knee OA. Integrating such preventive strategies within primary care systems could significantly reduce the burden of disability among the elderly population.

This study aims to develop a web-based inventory information system to facilitate inventory data management and improve operational efficiency at Toko Anugerah Sticker. Currently, inventory management is still performed manually using paper, which complicates monitoring stock, recording incoming and outgoing items, and preparing reports accurately and promptly. To address these issues, the system was developed using the Waterfall method, consisting of five stages: requirement, design, implementation, verification, and maintenance. PHP was employed as the programming language for system development, while MySQL served as the database for storing inventory data. The system was tested using Blackbox testing to unsure that each function worked as expected. The result show that the web-based inventory information system successfully replaced the manual process, making inventory management more effective and efficient. It also enables real-time stock monitoring and generates reports faster and more accurately. The implementation of this system is expected to improve the quality of inventory data management at Toko Anugerah Sticker in the future.

This research aims to implement a Multi-Attribute Decision Making (MADM) approach using the AHP–TOPSIS method to assist PT. XYZ in selecting the most suitable intern candidate for the Social Media Specialist position. The increasing number of applicants each year makes the selection process more complex, requiring a systematic and data-driven decision support system. AHP was used to determine the priority weights of five main criteria—Interview, Experience, Portfolio, Skill, and Achievement—along with their subcriteria. All pairwise comparison matrices met the consistency requirements, indicating valid weights. The TOPSIS method was then applied to calculate the preference scores of ten candidate alternatives based on the weighted normalized decision matrix, ideal solutions, and distance measures. The results show that candidate A3 achieved the highest preference score (0.9422), followed by A7 and A8, making them the top recommended candidates. This study demonstrates that integrating AHP and TOPSIS effectively supports companies in conducting objective, efficient, and accurate recruitment decision-making processes.

Handling cases of domestic violence (KDRT) requires an approach that not only focuses on sanctions for perpetrators, but also on the comprehensive recovery of victims. One of the appropriate methods is restorative justice, which is focused on restoring social relations, psychological recovery for the victim, and the participation of all parties involved in the process of resolving the case. In this context, lawyers play a strategic role, not only as defenders of the law, but also as facilitators of a just and supportive restorative process for victims. This study aims to analyze in depth the role of lawyers in the implementation of restorative justice in domestic violence cases, as well as identify the challenges and opportunities faced in practice. The applied approach includes normative juridical and sociological with qualitative data analysis. The findings indicate that lawyers play a crucial role in ensuring victims ' rights are protected, providing trauma-sensitive legal assistance, and encouraging restorative agreements that do not harm victims. Therefore, it is necessary to increase the capacity of lawyers, the development of more comprehensive regulations, and cooperation between sectors to support the implementation of restorative justice that is efficient and in favor of victims of domestic violence.

This research examines the implementation of the curator’s role in the bankruptcy process following the Postponement of Debt Payment Obligations (PKPU) based on Law Number 37 of 2004 concerning Bankruptcy and Postponement of Debt Payment Obligations. The main objective of this study is to analyze the role, authority, and challenges faced by curators in carrying out their duties in accordance with Indonesia’s positive legal framework. This research employs a normative juridical approach combined with an empirical juridical approach, incorporating a review of legal literature, court rulings, and statutory regulations, as well as interviews with curators and supervising judges in commercial courts. The findings reveal that curators play a central role as administrators and liquidators of bankrupt estates, with the authority to inventory, secure, manage, and liquidate the debtor’s assets to protect creditors’ interests. Pursuant to Law Number 37 of 2004, curators are also responsible for overseeing the bankruptcy process, preparing reports, and ensuring that the distribution of liquidation proceeds is conducted transparently and equitably. However, the implementation of this role often faces obstacles such as limited curator competence and resources, external interference, the complexity of bankruptcy laws, and inadequate judicial supervision. This study emphasizes the importance of legal reform, professional capacity building, and the adoption of digital technology to enhance the effectiveness of Indonesia’s bankruptcy system. A professional, accountable, and integrity-driven curator is essential to achieving the fundamental objectives of bankruptcy law—ensuring fair, efficient, and transparent debt settlement for all parties involved.

Mining sequence design is one of the important stages in open pit mining activities that aims to organize the excavation stages so that production activities run effectively, efficiently, and in accordance with the established targets. This research was conducted at PT Putra Perkasa Abadi Site SKS with the aim of designing a mining sequence in January and February 2025. The methods used include analysis of topographic data, geology, pit design, and monthly production targets. The data was processed using mining software to determine the excavation sequence based on elevation, overburden volume, and coal reserves. The design results show that the total planned overburden and coal volume is able to meet the company's production targets by considering slope stability and the efficiency of digging and loading equipment. In addition, the resulting sequence design also takes into account aspects of work safety and field operational conditions, such as mine road access and drainage systems. With a structured design, it is expected that mining activities during this period can run according to schedule, minimize operational obstacles, and support the achievement of production targets and cost efficiency at PT Putra Perkasa Abadi Site SKS.