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Technological developments ultimately require judicial bodies in various countries, including Indonesia to adopt the use of technology. Because the administration of Indonesian justice is based on the principle of simple, fast, and low cost. Utilization of information technology in the judicial process can increase the effectiveness and efficiency of the performance of the judiciary, so that it can answer the public's sense of justice. Because the main problems that are often faced in our judiciary are the slow handling of cases, the difficulty of accessing cases and the integrity of the judicial administration apparatus. This article is intended to examine how to regulate the use of technology in the judiciary, and how it impacts on access to justice. This article concludes, Electronic court proceedings need to be regulated in the law itself or accommodated in the current procedural law. Because the mission of adaptation and harmonization of various legal developments is very necessary. In addition, the government must also pay more attention to the readiness of courts in Indonesia to carry out using technology. For example, providing direction for building or upgrading electronic facilities for trials, both in courts and correctional facilities, as well as recruiting and providing IT human resources. So that by using technology can run effectively and efficiently.

This study aims to analyze the performance of the OSPF routing protocol in a tree topology using the Cisco Packet Tracer simulator with a router configuration, and a PC/computer. This research involves building a tree topology consisting of several router nodes and PC/computers, where OSPF is implemented to manage routing. Tests were conducted using steady ping on PC to PC, PC to router and PC to server to measure network performance in terms of latency and reliability. The test data was analyzed to evaluate OSPF convergence, network stability and rounting efficiency. The results of this study provide insight into the effectiveness of OSPF in a tree topology.

Educator management has a very important role in knowing the level of success of a learning system implemented by educators. With good management, you can develop a learning system so that it will affect the quality of learning carried out by educators. Educator management is tasked with planning, managing and organizing educators and education staff so that they are able to manage all aspects of education well. When carrying out management, you must pay attention to the basic principles of management and procedures in carrying out management, so that this management can run according to its function. Management is an effort to manage educators from the moment they enter until they leave (retire) to determine the effectiveness and efficiency of learning activities. Therefore, the role of management is very important in improving the quality of educators in Indonesia. This research uses a literature review method by searching for related sources.

This research aims to evaluate the performance of management of transfer funds from the central to regional government and its impact on development in Central Kalimantan Province. The method used is descriptive analysis with a qualitative and quantitative approach to measure effectiveness, efficiency and accountability in managing these funds. The research results show that the management of transfer funds in Central Kalimantan has been implemented quite well, but there are still several obstacles in the aspects of budget absorption and supervision. The impact of transfer fund management on regional development can be seen from improvements in infrastructure, education and health. However, to achieve more optimal results, it is necessary to increase the capacity of local human resources and a more effective monitoring system.

This article discusses the management of labor costs in the public sector with a focus on the management of non-permanent employees (PTT) and outsourcing alternatives. This research highlights problems in personnel management, especially employee expenditure costs that must be borne by government agencies. This study reviews cost control systems, labor costs, and methods for managing honorary staff costs in government. The findings show that outsourcing is more efficient than recruiting PTT or temporary workers as a solution to control labor costs. Additionally, this paper recommends Activity Based Costing (ABC) method for public sector organizations to provide valuable information related to detailed cost data. This research shows that decentralizing recruitment in local governments can improve efficiency, effectiveness and fairness, but can also lead to corruption and disparities in the distribution of human resources. Cost control, outsourcing, and the use of Activity-Based Costing (ABC) can help public sector organizations manage costs and increase operational efficiency. To achieve better governance, operational efficiency and effective cost control, public sector organizations need to consider the various strategies and methods described in this research.

This research aims to analyze the Mitraguna financing system at PT Bank Syariah Indonesia (BSI). Mitraguna is one of the financing products offered by this sharia bank, and this research aims to understand in depth how this financing system is implemented and its impact on the parties involved. The research method used is a case study with a qualitative approach. Data was collected through interviews with related parties at PT Bank Syariah Indonesia, direct observation, and analysis of documents related to Mitraguna financing. It is hoped that the results of this research will provide a better understanding of Mitraguna's financing mechanism and evaluate its effectiveness and efficiency.Research findings show that the Mitraguna financing system at PT Bank Syariah Indonesia has made a positive contribution to meeting consumer financing needs. However, there are several challenges and obstacles faced in implementing this system, such as complex administrative processes and regulatory changes that can affect the financing scheme. It is hoped that this research can make a positive contribution to PT Bank Syariah Indonesia in improving the quality of Mitraguna's financing services and become a reference for further research in developing sharia-based financing products.

The utilization of technology in public services promises effectiveness and efficiency to help all lines of human work because it can speed up the work process. all lines of human work because it can speed up the work process carried out. The realization of egovernment can be realized as one form of technology utilization in the public service sector. The M-Passport application is one of the implementations of e-government in the field of immigration. The implementation of the M-passport application will be reviewed for effectiveness whether it can realize the effectiveness of e-government services. effectiveness in e-government services to the community. This can be seen from the implementation of the application passport application that is getting easier and faster with the help of technology and technology and systems that exist in the M-Passport Application. This also supports the implementation of egovernment-based public services and helps oversee social distancing policies during the Covid-19 pandemic in Indonesia so that we can continue to provide optimal immigration services

Urban workers are increasingly vulnerable to heat stress due to rising global temperatures, especially in cities affected by the Urban Heat Island (UHI) effect. This heat stress poses significant risks to worker health and productivity, exacerbating health issues such as dehydration, heat exhaustion, and heat stroke, while also reducing work efficiency. The study aims to assess the effectiveness of green rooftop designs as a mitigation strategy for heat stress in urban workplace environments. Green rooftops are increasingly seen as a sustainable solution for urban heat management, offering benefits in temperature regulation, energy efficiency, and overall worker well-being. This study examines various heat stress mitigation strategies, including green roofs, industrial fans, and shading systems, focusing on their comparative effectiveness in reducing temperatures and improving worker comfort. The research involved environmental temperature measurements inside and outside urban workplaces, the use of wearable heat sensors to monitor workers’ heat stress levels, and building energy simulations to predict the impact of green rooftops on indoor climate control. Results indicate that green rooftops reduced workplace temperatures by an average of 3.8°C and decreased heat-stress-related complaints by 35%. In comparison to industrial fans and shading systems, green rooftops provided superior long-term relief, reducing heat stress and improving both worker productivity and environmental quality. The findings support the integration of green rooftops into urban workplace designs as a viable climate adaptation strategy. Future research should explore optimizing green rooftop designs for different climates and assessing their long-term benefits for worker health and urban resilience.

This study aims to analyze the influence of human resource (HR) quality on the implementation of internal control systems at PT. Avia Avian. The background of this study is based on the importance of the role of quality HR in supporting the effectiveness of the implementation of internal control systems in companies. An effective internal control system is essential to maintain integrity, efficiency, and compliance with applicable regulations. The purpose of this study is to identify and analyze how HR quality can affect the implementation of internal control systems in companies. The method used in this study is a quantitative approach using a survey of employees in various departments of PT. Avia Avian. The data obtained were analyzed using regression techniques to examine the relationship between HR quality variables and internal control systems. The findings of the study indicate that there is a significant influence between HR quality and the implementation of internal control systems, where the better the quality of HR, the more effective the implementation of internal control systems. The implication of this study is that companies need to pay attention to improving HR quality as a strategic step to strengthen the existing internal control system, which in turn can improve the company's performance and compliance with established standards.Additionally, this research shows that continuous training and employee competency development can strengthen HR quality, which in turn contributes to the effectiveness of the internal control system. Companies that invest in improving HR quality will not only benefit in terms of compliance with regulations but also in enhancing operational efficiency and risk management. Therefore, it is crucial for the management of PT. Avia Avian to continue focusing on HR development to ensure the smooth implementation of internal control systems in accordance with applicable standards. This research contributes to the literature on risk management and internal control by highlighting the crucial role of HR quality in the success of internal control systems.

Hospitals, as institutions providing healthcare services, must maximize technological advancements. One such advancement is the use of SIMRS (Hospital Management Information System) in accordance with the Indonesian Minister of Health Regulation No. 82 of 2013. The use of SIMRS is predicted to enhance the hospital's efficiency, effectiveness, professionalism, performance, as well as access and services. Nurses' satisfaction in using SIMRS will impact the improvement of patient care quality. One method to evaluate user satisfaction with SIMRS is EUCS (End User Computing Satisfaction), developed by Doll and Torkzadeh, which consists of five dimensions: content, format, accuracy, ease of use, and timeliness. This study aims to determine the relationship between the application of the EUCS method and nurses' job satisfaction in the use of SIMRS at RSUD dr. Doris Sylvanus Palangka Raya. Methods: This research is correlational, employing a cross-sectional design. Respondents were selected using purposive sampling and the chi-square statistical test was used. The sample consisted of 175 inpatient nurses at RSUD dr. Doris Sylvanus Palangka Raya. Results: The chi-square statistical test showed a p-value = 0.000, or a significance level of p < 0.05, indicating that there is a relationship between the application of the EUCS method and nurses' job satisfaction in the use of SIMRS at RSUD dr. Doris Sylvanus Palangka Raya. Conclusion: Effectiveness and efficiency are the primary goals of SIMRS usage, which creates convenience and transparency, ultimately expected to enhance nurses' job satisfaction.

This article explores how cloud computing solutions enhance operational efficiency, scalability, and cost-effectiveness in small and medium enterprises (SMEs). By examining case studies from various industries, the research highlights the transformative role of cloud platforms in driving innovation, improving collaboration, and expanding market reach. The findings underscore the potential of cloud technologies in accelerating SME growth, while also addressing challenges such as adoption costs, technical expertise, and data security concerns.

Hospitals are a comprehensive part of social and media organizations whose function is to provide complete health services to the community, both curative and rehabilitative, hospital services reach family and environmental services. The aim of the research is to analyze the influence of health service quality on patient satisfaction in the inpatient room of Menggala Regional Hospital, Tulang Bawang Regency, Lampung Province. Analytical survey research design with a cross sectional design. The total population of patients treated from June 2022 to August 2022 in the Inpatient Room at Menggala Regional Hospital, Tulang Bawang Regency is 167 people. The number of samples was 62 people. The results of the chi square test research show that there is an influence of 8 variables, namely technical competence, human relations, effectiveness, efficiency, continuity, security, human relations and comfort, which have a p-value <α 0.05, meaning that technical competence, human relations, effectiveness, efficiency, continuity, safety, human relations and comfort influence patient satisfaction in the Menggala Hospital inpatient room. The results of the multiple logistic regression test are the most dominant comfort variable with an odds ratio (OR) of 18.455, meaning that it influences patient satisfaction 18 times. The conclusion is that the comfort variable is the dominant variable that has the most influence on patient satisfaction in the Menggala Hospital inpatient room. It is recommended for hospitals to adopt policies to increase patient comfort in treatment rooms in order to produce optimal satisfaction for patients.    

Hospital Information Systems (HIS), or Sistem Informasi Rumah Sakit (SIRS), play a critical role in enhancing administrative efficiency, decision support, and healthcare service quality. However, their implementation and effectiveness vary significantly across healthcare settings, particularly in low- and middle-income countries (LMICs). This study aims to systematically evaluate the existing literature on HIS effectiveness, implementation barriers, and administrative impact. Using a PRISMA-based Systematic Literature Review (SLR) approach, we examined 14 high-quality studies from multiple scholarly databases including PubMed, Scopus, ScienceDirect, and Garuda. The review applied a hybrid thematic synthesis grounded in HOT-FIT and DeLone & McLean models, combined with a normalized quality scoring system. The findings reveal that HIS implementations positively influence administrative workflow, billing accuracy, and patient throughput, though outcomes are context-dependent. Key challenges include lack of interoperability, resistance to change, and insufficient training. Notably, regulatory mandates and national digital health policies were found to significantly enhance HIS adoption and sustainability. This review contributes a multidimensional synthesis of HIS performance, highlighting the importance of human, organizational, and policy alignment. It offers an evidence-backed framework for HIS evaluation that bridges theory and practice. We conclude that integrated, context-sensitive HIS models are essential for advancing hospital management and public health systems, and recommend further empirical studies on long-term impact and cross-sector integration.

Cloud-based resource allocation and VM/container orchestration play a crucial role in ensuring performance, scalability, and energy efficiency in modern distributed computing environments. This study investigates the effectiveness of centralized and decentralized scheduling models combined with heuristic and optimization-based allocation strategies in container-based cloud infrastructures. A quantitative experimental approach was employed to evaluate system performance under varying workload intensities. Key evaluation metrics included response time, throughput, resource utilization, SLA violation rate, and energy consumption. The experimental results indicate that centralized scheduling mechanisms experience scalability limitations and increased latency under high workload conditions. Although optimization-based allocation improves performance within centralized architectures, coordination bottlenecks remain significant. In contrast, decentralized scheduling models demonstrate superior adaptability, reduced response time, and improved throughput due to distributed decision-making and reduced control overhead. The integration of intelligent optimization techniques further enhances resource utilization and energy efficiency, achieving the lowest SLA violation rates and highest system stability. Overall, the findings confirm that combining decentralized scheduling with optimization-driven resource allocation provides a more scalable and sustainable orchestration strategy for modern cloud environments. This approach is particularly suitable for dynamic, large-scale, and latency-sensitive applications in container-based and edge-integrated cloud systems.

The rapid development of smart city initiatives has significantly increased the adoption of Internet of Things (IoT) technologies to enhance urban services, infrastructure efficiency, and quality of life. However, the large-scale deployment of interconnected IoT devices also introduces critical cybersecurity challenges, including unauthorized access, data breaches, and system vulnerabilities. This study aims to develop an integrated IoT security management model to improve cybersecurity resilience in smart city environments. The research adopts a Design Science Research (DSR) approach, which involves problem identification, literature analysis, model design, implementation, and evaluation. The proposed model incorporates key security components such as Identity and Access Management (IAM), device authentication, secure communication through encryption, firmware and patch management, and continuous monitoring with intrusion detection mechanisms. The model is evaluated through simulation in smart city scenarios, including transportation systems, environmental monitoring, and energy management. The results demonstrate significant improvements in security performance, with increases in threat detection rate, vulnerability reduction, access control effectiveness, and system stability under attack conditions. Quantitative analysis shows improvements of up to 37% compared to conventional approaches, indicating the effectiveness of the proposed model in mitigating IoT-related cybersecurity risks. This study contributes by providing a comprehensive and scalable framework for IoT device security management, which can be applied to enhance the reliability and sustainability of smart city systems. Future research is recommended to validate the model in real-world implementations and integrate advanced technologies such as artificial intelligence for predictive threat detection.

Public services organized by the state aim to fulfill the needs of citizens. Therefore, the government has an obligation to improve the quality of services provided. The South Tangerang City Government made innovations in organizing services through the construction of the Public Service Mall. This research aims to find out how the effectiveness of services at the South Tangerang City Public Service Mall. The research method used is descriptive qualitative. The results of this study indicate that the effectiveness of services at the South Tangerang City Public Service Mall based on the theory of Ridwan and Sudrajat (2009: 103) has been running quite effectively, but there are still some obstacles in the implementation of these services.

This study aims to analyze the importance of facilities and infrastructure management in supporting the quality of educational services in educational units. In the context of modern education, facilities and infrastructure not only function as technical support for teaching and learning activities, but also as indicators of the quality of educational institutions. This research uses the library research method by examining various scientific sources, both in the form of journals, books, and relevant research reports. The results of the study show that effective management of facilities and infrastructure includes the process of planning, procurement, utilization, maintenance, and continuous evaluation of educational facilities. Each of these stages has an important role in ensuring the availability of a safe, comfortable, and conducive learning environment for all school residents. In addition, transparent and participatory management can increase a sense of responsibility, care, and efficiency in the use of facilities. The management of facilities and infrastructure based on the needs of students and the development of information technology has proven to be able to strengthen the quality of educational services and support the achievement of learning goals optimally. These findings provide practical implications for schools and policymakers to continue to strengthen data-driven educational facilities management systems and cross-stakeholder collaboration.

The rapid growth of big data has significantly increased the demand for efficient and scalable data processing methods, particularly within cloud computing environments. This study aims to evaluate the effectiveness of distributed computing frameworks, specifically Apache Hadoop and Apache Spark, in optimizing big data processing. A qualitative approach using a Systematic Literature Review (SLR) method is employed to analyze existing studies related to distributed systems, cloud computing architectures, and performance optimization techniques. The analysis focuses on key performance indicators, including processing speed, resource utilization, and scalability, as well as the suitability of each framework for different data processing scenarios. The findings indicate that Apache Hadoop is highly effective for batch processing and storage-intensive tasks due to its disk-based architecture, while Apache Spark demonstrates superior performance in real-time and iterative processing through its in-memory computing capabilities. Additionally, system configuration factors such as cluster size, memory allocation, and network bandwidth are identified as critical elements influencing overall performance. The study also highlights emerging trends, including the adoption of hybrid cloud environments, the integration of artificial intelligence and machine learning, and the utilization of edge computing to enhance real-time data processing. In conclusion, distributed computing frameworks play a vital role in improving the efficiency and scalability of big data processing in cloud environments. The selection of an appropriate framework, combined with optimized system configuration, can significantly enhance operational performance and support data-driven decision-making.

This article investigates recent innovations in industrial engineering and mechanical systems, emphasizing how technological advancements impact manufacturing efficiency, sustainability, and cost-effectiveness. Through a review of current technologies, such as additive manufacturing, automation, and smart materials, the study assesses the key challenges industries face and forecasts emerging trends in mechanical engineering and industrial innovation. The article also discusses the potential for artificial intelligence and machine learning to revolutionize industry standards and drive forward engineering solutions.

Applying ergonomic principles in work tool design for manufacturing industries is a crucial factor in improving productivity while maintaining worker health. This research aims to analyze the effectiveness of adaptive work tool design models based on cognitive and physiological ergonomic principles, identify interaction patterns between workstation design and operational performance, and develop a conceptual framework for integrating ergonomic principles into production cycles. The research method adopts a cognitive-physiological approach with qualitative analysis of human-machine interactions, biomechanical simulations using digital human modeling, and muscle load measurements through electromyography. Implementation was conducted using a participatory ergonomics approach and IMU sensor-based real-time monitoring systems. Results show that using materials with controlled deformation capabilities (15-20%) in work tools reduces muscle work by up to 27%, while adaptive automation system integration improves assembly accuracy by 18%. Workstations with ergonomic adjustments increase assembly speed by an average of 12%, and low-cost ergonomic interventions effectively improve productivity by 11-15% in resource-limited environments. Longitudinal analysis reveals that evidence-based ergonomic investments yield a 230% ROI through increased productivity, reduced injury compensation costs, and decreased employee turnover. IMU-based posture monitoring systems integrated with adaptive feedback loops reduced musculoskeletal disorder incidents by up to 41%. In conclusion, ergonomic optimization based on cognitive-physiological principles creates synergy between production efficiency and worker well-being, making it an essential component in achieving sustainable productivity.