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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.    

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.

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.

This study aims to evaluate the impact of bureaucratic reform in Bima Regency following the issuance of the Ministerial Regulation on Administrative Reform (PermenPAN-RB) Number 3 of 2023, with a primary focus on enhancing the quality of public services and the efficiency of administrative processes through the implementation of information technology. Utilizing a qualitative descriptive research method, this study explores the perceptions and experiences of civil servants (ASN), policymakers, and the civilian community in Bima Regency. Data were collected through in-depth interviews, participatory observation, and document analysis to understand the implementation and effectiveness of the reforms undertaken. The findings indicate that bureaucratic reform in Bima Regency has made significant progress in improving the efficiency and effectiveness of public services, underpinned by the Bureaucratic Reform (RB) Index. The main focus of this reform is to accelerate service delivery, enhance user satisfaction, and reduce unnecessary bureaucracy, with the digitalization of services as a key step that has successfully reduced waiting times and increased transparency. Training programs for civil servants have also been enhanced to ensure high-quality services that meet the needs of the community. The roadmap for bureaucratic reform also includes efforts to strengthen integrity and transparency, with an emphasis on improving the Corruption Perception Index (CPI) score through the strengthening of oversight institutions and the implementation of policies that limit direct interactions, reducing opportunities for corruption. Furthermore, Bima Regency continues to innovate by integrating information technology into government administration to improve the Government Effectiveness Index (GEI) and E-Government Development Index (EGDI), ensuring data security, and expanding public access to government services, especially in remote areas.

This research aims to identify the issues faced by one of the paint distributors in managing their sales information system. The study notes that despite the store's successful sales activities, the utilization of the sales information system remains limited, with the store preferring to manage products without online information handling applications. Based on observations, some weaknesses of the current system include lack of stock data accuracy, hindrances in providing real-time stock information, and limitations in tracking stock changes. The author suggests providing training to users of the web-based sales information system and establishing clear task allocation, as well as system improvements to address existing weaknesses. These suggestions are expected to enhance efficiency and effectiveness in sales management and meet the needs of both administrators and buyers.

Old Age Security (JHT) is an important program in the social security system in Indonesia which is organized by the Employment Social Security Administering Agency (BPJS). Despite being a vital form of social protection, JHT claims management is often in the spotlight due to the various challenges it faces, including effectiveness, efficiency and fairness in disbursement of claims. In this context, this research aims to analyze JHT claims management at the Pratama Rantau Prapat BPJS Employment Branch Office. This study uses a qualitative research method with a case study approach. Data was collected through direct observation, interviews with officers and participants, as well as analysis of documents related to the claims process. The research results show that the JHT claims process faces various challenges, including the long time it takes to complete a claim, a lack of transparency and communication, and gaps in understanding between participants and officers. The conclusion of this research is that significant improvements are needed in JHT claims management. Recommendations for improvement include increasing process efficiency, increasing transparency and communication, and simplifying claims procedures. Implementation of these recommendations is expected to improve the quality of JHT claims services and provide greater benefits for participants in their preparation for a more financially secure retirement.

Management transformation in the shipping industry has become increasingly important with the advancement of information technology. This research aims to analyze the role of information technology in management transformation in the shipping industry. Through a literature review approach, this study explores the use of information technology in enhancing operational efficiency, facilitating faster decision-making, and improving company competitiveness. The main findings indicate that information technology has been a key driver in management transformation, with the adoption of integrated logistics management systems and real-time ship monitoring. However, challenges such as infrastructure complexity, data security issues, and resource constraints are also identified in the implementation of information technology. Effective mitigation strategies are needed to address these challenges. This study also highlights the importance of collaboration and partnerships in the transformation of the shipping industry. Thus, this research provides a comprehensive understanding of the role of information technology in management transformation in the shipping industry, while highlighting the challenges faced and their practical implications.

An Internet of Things (IoT)-based logistics monitoring system is an innovation designed to enhance efficiency, transparency, and speed in supply chain management. The implementation of IoT in logistics provides an ideal solution for real-time monitoring of goods, which was previously difficult with conventional methods. This system integrates IoT sensors such as GPS for location tracking, along with temperature and humidity sensors to monitor goods requiring special attention, such as food and pharmaceuticals. By automating processes through IoT technology, goods distribution becomes faster, reducing reliance on manual controls, speeding up decision-making, and minimising human error. This system enables companies to monitor the condition and location of goods in real-time, offering high visibility into the logistics status. With comprehensive monitoring, companies can proactively address issues and ensure goods remain in optimal condition throughout the shipping process. An IoT-based logistics monitoring system has the potential to enhance a company’s competitiveness through efficiency and accuracy in supply chain management. When effectively implemented, IoT technology can not only improve service quality and customer satisfaction but also strengthen a company’s position in an increasingly competitive market.

This study seeks to create a system for monitoring the environment using the Internet of Things. It aims to help farmers manage their rice fields in a way that is both effective and sustainable. The system will provide farmers with real-time data on soil moisture, air temperature, and rainfall, allowing them to make informed decisions. Sensors will collect this information, which will be analyzed and presented simply through a web or mobile app. Early simulations suggest that this system could boost crop yields by as much as 15% and cut water use and costs by 20%. These findings point to the IoT monitoring system as a practical means to enhance rice farming's efficiency and productivity. Yet, there are hurdles. Issues like poor network infrastructure, high costs of implementation, and the farmers' ability to adapt to this technology need to be overcome for the system to work properly. This study aspires to make a real difference in promoting sustainable farming practices while paving the way for more advanced IoT solutions in the future.

Recognizing outstanding students is an essential strategy to encourage learners to improve their academic performance and overall learning quality. However, the process of selecting the best students at SMK Negeri 1 Raman Utara still encounters significant challenges due to the complexity of the evaluation criteria, which include academic achievement, attendance, participation in extracurricular activities, and student behavior. The current manual selection method is considered less effective because it is time-consuming and susceptible to subjectivity in decision-making. This study aims to address these issues by developing a technology-based Decision Support System utilizing the Simple Additive Weighting (SAW) method. SAW was chosen for its efficiency in solving multi-criteria problems through matrix normalization and preference weighting for each alternative. The development process includes requirement analysis, system design, and the implementation of an automated ranking mechanism for student candidates. Based on the testing results, the implemented system can process assessment data rapidly and produce accurate and objective rankings of high-achieving students. The system offers a practical solution for the school by enhancing transparency and validity in the selection process, minimizing human calculation errors, and supporting more equitable and data-driven decision-making.

The advancement of Artificial Intelligence (AI) technology has significantly influenced guidance and counseling services, particularly through the use of chatbots, e-counseling, and digital-based psychological analysis systems. This study aims to analyze the collaboration between AI technology and counselors’ interpersonal skills within the context of Islamic counseling. The research employed a qualitative approach using a library research method. Data sources were obtained from various relevant journals and scientific articles accessed through Google Scholar. Documentation techniques were applied for data collection, while the data were analyzed using descriptive-analytical and thematic approaches. The findings reveal that AI can enhance counseling services through greater efficiency, effectiveness, and accessibility without limitations of time and place. In addition, AI assists counselors in managing data, identifying clients’ problems, and providing quick initial responses. Nevertheless, AI cannot fully replace the role of counselors because it still lacks the ability to deeply understand empathy, build interpersonal relationships, provide emotional support, and comprehend spiritual values that are essential in Islamic counseling. Therefore, the implementation of hybrid counseling, which combines AI technology with human counselors, is considered more appropriate. In this model, AI functions as a supporting tool or co-counselor, while counselors continue to play the primary role in establishing therapeutic, humanistic, and religious relationships with clients. This study emphasizes that the integration of AI technology and counselors’ interpersonal skills is an important strategy in creating modern, effective, and human-oriented counseling services.

Cyber Physical Systems (CPS) are vital for managing and controlling critical infrastructures, such as industrial control systems, power grids, and transportation networks. These systems integrate digital and physical components, offering numerous benefits for industrial automation. However, the increasing interconnectivity of these systems has introduced new security vulnerabilities, particularly in anomaly detection and system reliability. This research aims to address these challenges by proposing an edge based anomaly detection framework that leverages lightweight deep learning models, specifically designed to operate efficiently on resource constrained edge devices. Literature Review: Previous studies have shown the effectiveness of anomaly detection in CPS, with traditional methods struggling to keep up with the complexity and scale of modern industrial environments. Machine learning and deep learning approaches, particularly hybrid models combining rule based systems and AI, have emerged as effective solutions for real time anomaly detection. Techniques such as model compression, quantization, and pruning are essential for adapting these models to resource limited edge devices while maintaining high detection accuracy and low latency. Materials and Method: The proposed framework integrates deep learning models such as Convolutional Neural Networks (CNNs) and Long Short Term Memory (LSTM) networks, optimized for edge computing environments. The datasets used for training and testing include industrial network traffic and sensor anomaly datasets. Model optimization techniques like pruning and quantization were applied to reduce computational overhead and energy consumption on edge devices. Results and Discussion: The framework demonstrated high detection accuracy (AUC of 0.9720) with ultra low latency (0.0019 seconds training time), making it highly suitable for real time anomaly detection in CPS. Resource efficiency was achieved by optimizing the models for edge devices, reducing energy consumption while maintaining performance. The framework also significantly improved security by identifying anomalies early, preventing potential threats to critical infrastructures. Future directions include exploring federated learning to enhance privacy and data sharing across distributed devices.

The aim of this research is to understand and comprehend the urgency of implementing Artificial Intelligence in service business transactions as well as the application of the Consumer Protection Law in regulating business transactions using Artificial Intelligence. This research was conducted using a type of normative legal research supported by empirical data. In research activities, researchers also use data collection techniques through interviews and documentation. Based on the research that has been carried out, the results show that the implementation of Artificial Intelligence in business transactions provides a number of significant benefits in business. This includes increased operational efficiency, better data analysis, being able to answer messages automatically and the ability to make decisions in a more timely manner. In addition, the application of the Consumer Protection Law in business transactions using Artificial Intelligence is very important to maintain consumer rights and security.

This Journal discusses the juridical analysis of compensation in land acquisition due to the construction of dam reservoirs in Bolaang Mongondow Regency. Procurement of land for the benefit of development is often collided with the stages that take time, whereas the land is needed immediately. The rules for the implementation of land acquisition state that for the acquisition of land with an area of not more than 1 hectare, it can be carried out directly by agencies that require land with the right parties. One of the problems that arise in the procurement of land is the provision of compensation to the owner of the land that will be used for construction. Article 27 of Law No. 2 of 2012 on Land Acquisition for Development states that land acquisition must include an assessment of compensation and the provision of appropriate and fair compensation to the entitled party and Article 1365 of the Civil Code. This study uses empirical research methods with a case approach. The purpose of this study was to analyze the implementation of compensation in land acquisition due to the construction of dam reservoirs and the inhibiting factors in the provision of compensation. The legal basis is a reference in the procurement of land in Indonesia. In practice, however, there are some obstacles to the award of damages. In the case of the construction of a reservoir dam, the government and companies have promised compensation to the public since 2013. However, as of 2019, the land has not been compensated to the community. In 2022, the land was flooded and could no longer be managed by the community, so the case had to be resolved through litigation. It is hoped that the results of this study can provide a deeper understanding of this problem and become a reference in improving the effectiveness and efficiency of land acquisition in Indonesia.

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 Melati Perbaungan Hospital. Analytical survey research design with a cross sectional design. The total population of patients treated from June 2023 to August 2023 in the Inpatient Room at Melati Perbaungan Hospital 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 Melati Perbaungan 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 Melati Perbaungan 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.

Electronic nursing care documentation plays an important role in maintaining patient safety. Electronic documentation can identify the potential for increasing efficiency and effectiveness in providing nursing care. The purpose of this article is to determine the application of electronic nursing care documentation management. This research is a case study obtained when students carried out the Nursing Management Stage practice at one of the hospitals in Bogor City from 16 October - 10 November 2023. Data collection was carried out through several processes which included management review of electronic documentation based on 5M, SWOT analysis and formulation and problem priorities using the criteria of magnitude, severity, manageability, nursing concern, affordability which are assessed with a score of 1 – 5. The vision of room X is electronic-based so that effective nurses need time to adapt to technology to carry out electronic-based nursing documentation. The conclusion is that documentation of nursing care plays a crucial role as an important process for recording patient care information.

The creation of a web-based application management system is essential to assist organisations in maintaining their operational efficiency in the rapidly growing digital era. The purpose of this research is to apply the waterfall development method approach to the development of a web-based application management system. We compared the time efficiency and features of a low-code platform such as OutSystems and traditional coding using native PHP. By streamlining procedures for recruitment, leave, warning or dismissal data, and human resource management, the system can improve overall operational effectiveness and efficiency. This research can provide in-depth information on the efficiency of development time and overall features. Our contribution is to clarify the performance comparison in the context of application management system development between low-code platforms and traditional development approaches.

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.

The usage of manual keys in door security has become obsolete due to the increasing risk of theft and loss of valuable items. Observations at the Dean’s Office of the Faculty of Engineering at Universitas Negeri Padang reveal the shortcomings of manual key systems, including the possibility of getting stuck, lost keys, and the inability to record access. TCAD (Tap Card Access Door) offers a solution by utilizing NFC and cameras to directly monitor door access. This research aims to develop TCAD that can real-time monitor door access and store usage data. The development method for TCAD follows the waterfall model, and the system is designed using PHP with the Laravel framework, JavaScript, MySQL as the DBMS, and Visual Studio Code as the editor. Test results demonstrate that TCAD with NFC and web-based monitoring simplifies access entry recording, facilitates data collection during user room access, and improves data search efficiency. With TCAD, it is expected that door security and access monitoring can be better controlled and more efficient in line with current technological advancements.

The goal and main issues discussed in this research are how the Organizational Structure influences Performance in the Livestock Farming Area of Al Amin Science and Industrial Park (Living Lab) Glugur Rimbun. This study uses a qualitative associative method, conducting a review of theories and literature, as well as surveys and observations, and collecting opinions from academic community members, especially professors specializing in Human Resources. The research results state that organizational structure is a framework or arrangement that regulates relationships, responsibilities, and authorities within an organization. In management, organizational structure can be considered the foundation or operational framework of an organization. It is a fundamental element that forms the basis for organizing and directing organizational activities. There are several types of organizational structures that can be applied, and the selection of such a structure depends on the organization's goals, size, complexity, and needs. The choice of organizational structure should consider the organization's strategic goals, size, external environment, and the culture to be established. Moreover, organizations can change their structure over time to adapt to changing needs and business dynamics. The importance of organizational structure is reflected in its operational efficiency. By systematically mapping tasks and responsibilities, the structure creates a regular workflow, avoids unnecessary overlap, and establishes a foundation for optimal efficiency.