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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.

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.

The Rectorate's field of function is the function of improving performance, safety and efficiency in the use of elevators where the vertical transportation system is used as a tool to facilitate the activities of people and goods to move between certain floors in a building. Elevators are used as a tool to facilitate the activities of both people and goods to get to the floors In certain office and lecture buildings, it is a one-story building in building D which uses an elevator as a means of vertical lift transportation. Effective and efficient elevator planning is needed so that the elevator can be operated optimally. This should have a big impact on the comfort of building occupants as elevator users. One of the consequences of inadequate elevator planning is the occurrence of queues during peak hours. Therefore, some analysis of elevators in lecture and office buildings is needed. Elevator efficiency can be analyzed by calculating elevator requirements which depend on several variables such as lifting speed, lifting capacity, elevator waiting time, number of building occupants, and how large the building is. Meanwhile, the effectiveness of the lift can be obtained from the scheduling preparation and budget requirements involved in each lift's preventive maintenance. The research methodology used in this research is interviews, observation, secondary data collection, and data processing. From the results of data processing it can be concluded that the efficiency and effectiveness of the lift is 75% of the lift requirements for the 2 lift units provided. The research results also show several preventive maintenance schedules and preventive maintenance budgets within a one-year budget period.

This study aims to analyze the effectiveness of using Accurate in managing cash expenditures at PT Graha Mukti Indah, which is engaged in property development. Good cash expenditure management is very important so that companies are able to maintain liquidity and financial stability in the long term. The research method used is descriptive qualitative with a case study approach. Data was obtained through direct observation of the system used, interviews with finance staff, and documentation of cash expenditure transactions. The results show that Accurate is able to increase time efficiency in recording, reduce the level of human error, and provide real-time cash reports that can be used as a basis for managerial decision making. This finding implies that digitizing the financial system through the use of accounting software can be a relevant strategy for similar companies to improve transparency, accuracy, and the overall quality of financial decision making. Overall, the implementation of Accurate has proven to be an effective solution for improving cash expenditure management at PT Graha Mukti Indah, and its successful integration could serve as a model for other property development companies seeking to enhance their financial management practices.  

This introduction to the Macromedia Flash 8 application aims to provide students with understanding and skills in using Macromedia Flash 8 for design and understanding the use of Flash 8. Introduction to the Macromedia Flash 8 application is often needed in creating animations and designs for student learning. The Macromedia Flash 8 application allows its introduction to be personal and efficient, by using image and sound designs from separate sources into one Macromedia Flash 8 application. During the introduction to the Macromedia Flash 8 Application, participants will be taught about the concept of designing the use of Macromedia Flash 8, steps -design preparation steps, creating animations using Macromedia Flsah 8, and merging data into the application. This introduction to the Macromedia Flash 8 application will also discuss the benefits of using Macromedia Flash 8, including time efficiency and accuracy in the student learning that will be created. Through a combination of theory and practical exercises, participants.It is hoped that they will be able to master the steps in the application development process that will be presented using Macromedia Flash 8. The results of this training are expected to provide participants with the ability to create personal and efficient student animations, including for education and other organizations. Thus, the introduction of this application contributes to increasing the effectiveness of communication in various activities involving the student learning process.

The rapid urbanization and industrialization of cities have significantly contributed to the rising pollution levels, especially in urban rivers, where water quality is often compromised. Monitoring water quality in real-time is essential for mitigating the adverse effects of water contamination. This research aims to design and implement an Internet of Things (IoT)-based system for real-time monitoring of water quality in urban rivers, focusing on the continuous collection and analysis of environmental data. The system utilizes a range of sensors to measure critical water quality parameters, including pH, temperature, dissolved oxygen (DO), turbidity, and various contaminants, all of which transmit data wirelessly to a central server for further processing. The study evaluates the accuracy, reliability, and efficiency of the IoT system in detecting water pollution and its ability to deliver real-time insights. Findings demonstrate that the IoT system offers a higher level of precision and faster detection compared to conventional monitoring methods, making it an effective tool for real-time pollution detection and decision-making. Additionally, the integration of the IoT system with a user-friendly visualization platform enhances the accessibility of the data for stakeholders, enabling them to monitor the water quality effectively. The study suggests that IoT-based water quality monitoring systems present a sustainable long-term solution for urban water management, offering cost and time savings. Moreover, the research highlights the importance of cross-sector collaboration to support the development and deployment of IoT technologies and recommends further advancements in sensor technologies to monitor additional water quality parameters.  

The application of appropriate technology has an important role in increasing the production capacity and product quality of MSMEs. This service aims to increase the production capacity of Safnur MSMEs in Lengkong Village, Rakit District, Banjarnegara Regency through the implementation of a spinner tool. The results of the service showed that the use of the spinner tool succeeded in increasing production capacity from 10 kg to 15 kg per day, as well as reducing drying time by up to 66%. In addition, the quality of banana chips products also increases significantly with lower oil content, resulting in products that are crisper and last longer. The training and assistance provided to Safnur MSME workers ensures optimal use of spinner tools, increasing production efficiency and consistency. The implications of the results of this service are not only increasing income and business sustainability of Safnur MSMEs but also opening up new job opportunities for the surrounding community. This success can be used as a model for the development of other MSMEs in the area. Recommendations are given for the continued use of spinner tools and the development of MSMEs through appropriate technology support, ongoing training, and collaboration with the government and related institutions.

The rapid development of technology will obtain excellent effectiveness and efficiency from sources of electrical energy owned by a company or agency. With the progress of the industrial world today, the development of digital technology which ends in computer systems indirectly makes control technology involved as part of this progress. The availability of a power source is a very important aspect in the midst of technological developments. However, because the system is very complex, starting from the power plant to distribution to consumers, there is a high possibility of disturbances that can cause the flow of electrical energy to consumers to be cut off. There are certain places including factories, offices, banks, campuses, hospitals, airports and other places that could potentially endanger one's safety or drastically disrupt the course of the economic cycle. The flow of electrical energy must not be interrupted for a very long time because it can hamper the production process. and others, so that additional supply is needed to anticipate when the electricity is cut off from the National Power Plant source.

This research aims to analyze the role of the Management Information System (SIM) in supporting the decision-making process at the North Sumatra Land Agency Regional Office. This study explores the integration, reliability and contribution of information systems used in managing property and land information and their impact on the efficiency and effectiveness of decisions. The research methodology includes surveys of system users, interviews with top-level managers, and documentation of analyzes related to the technological infrastructure implemented. The data collected was analyzed using qualitative methods to understand the adequacy of the system, its suitability to user needs, and its contribution to the decision-making process. The research results show that the implemented Management Information System has a number of advantages, including efficient data management, better information accessibility, and real-time data availability. However, challenges such as data security and the need for increased integration with other systems were identified as potential improvements. In the context of decision making, MIS is proven to play an important role in providing timely and accurate information for management in making strategic decisions regarding land ownership, document updates and property transfers. Recommendations are prepared based on research results to improve the efficiency and effectiveness of the Management Information System to support better decision making at the North Sumatra Land Agency Regional Office. This research provides valuable insights for managers and developers of information systems in the context of the Land Agency, as well as a basis for improving the system to increase its decision-making role to a more strategic and responsive nature.

Inventory of goods at MI is an important process to ensure smooth operations and learning. With a good inventory system, MI can manage its goods effectively and efficiently, so that it can support the achievement of its educational goals. Administration of goods equipment or goods inventory in MI includes activities such as recording, coding and reporting goods inventory. This includes inventory items (such as tables, benches, whiteboards) and non-inventory items (such as markers, erasers, pencils). The inventory process aims to create goods administration, financial savings, and effective supervision of these goods. Inventory activities of educational facilities and infrastructure in schools include planning, procurement, distribution, use, maintenance and disposal of goods. Inventory recording of goods is carried out in various books, such as the goods inventory master book, goods inventory class book, non-inventory goods record book, quarterly report list, inventory item mutation, and annual recapitulation list. A computerized goods inventory system can help organizations increase efficiency and effectiveness of goods management. This system can help organizations save time and costs, increase productivity, and make better decisions regarding goods management.