Implementation Of Management System Research Articles

Pelatihan Penerapan Learning Management System (LMS) bagi Guru Dalam Tantangan Era Blended Learning

This community service aims to increase teacher understanding and optimize the implementation of the Learning Management System (LMS) in the blended learning era. The method for implementing this service uses training in the form of webinars with 119 teachers spread across 40 cities in Indonesia. The evaluation instrument for this activity uses a questionnaire, which is analyzed descriptively. The results of this service activity show an increase in teachers' understanding of implementing LMS. The results are evidenced by teachers' increasing knowledge about making LMS an online classroom, especially in providing teaching materials and setting student assignments and exams.

Experimental Study on Automated Controller of Street Light Management System using IoT

In order to ensure public safety and support nighttime activities, street lighting is crucial to the urban landscape, and this study starts by contextualizing its importance. It then goes on to analyze the shortcomings of the current street lighting systems, which are typified by their static control methods and poor environmental response.These shortcomings underscore the urgent need for a paradigm shift towards more intelligent and adaptive solutions. The core proposition of this project lies in the design and implementation of an advanced street light management system empowered by IoT technology. At its heart, the system comprises a sophisticated network of interconnected devices, including sensors, actuators, and a central control unit. These components collaborate synergistically to capture, analyze, and act upon real-time data gleaned from the surrounding environment. Through the application of cutting-edge data analytics and machine learning algorithms, the system autonomously adjusts lighting levels in accordance with fluctuating parameters such as ambient light levels, traffic density, weather conditions, and pedestrian activity. By dynamically optimizing energy usage while ensuring adequate illumination, the system not only enhances operational efficiency but also contributes to cost reduction and environmental sustainability. Moreover, the proposed system incorporates proactive maintenance features, enabling early fault detection and remote diagnostics. This capability minimizes downtime and enhances system reliability, thereby mitigating the operational challenges associated with traditional street lighting infrastructure. The project further explores the conceptual framework of IoT, elucidating its transformative potential in revolutionizing urban infrastructure management. By seamlessly integrating physical devices with digital intelligence, IoT facilitates the creation of interconnected ecosystems wherein data-driven decision-making and automation converge to drive unprecedented efficiency and innovation

Hardware Implementation of a Resilient Energy Management System for Networked Microgrids

A networked microgrid is composed of multiple nearby microgrids linked together to gain additional flexibility for resilient operations. Networked microgrids collaborate to prevent power shortages in microgrid clusters by sharing critical renewable and energy storage resources. However, controlling the local resources of each microgrid, including the energy storage systems’ charging and discharging, maintaining the DC bus voltage, and even overseeing the power shared by multiple microgrids, is challenging. Therefore, a microgrid control technique and distributed energy management are used cooperatively in this study to handle the shared power between a system of networked microgrids incorporating photovoltaics and battery energy storage systems. Numerical simulation results from a networked microgrid system verify the accuracy and soundness of the suggested distributed energy management under several operating conditions, including renewable uncertainties and sequential load variations in different zones. The applicability of the suggested technique is confirmed by hardware implementation, and several operational scenarios further evaluate the proposed system on a practical two-microgrid system located in the Florida International University (FIU) testbed.

Revitalizing Religious Learning in Madrasah Through the Use of Technology

In today's digital age, the use of information technology (IT) has become commonplace in many aspects of life, including in education. This study deals with the use of IT as a tool for revitalizing religious learning in madrasah with the aim of improving the effectiveness and quality of teaching learning processes. In the context of the madrasah, religious learning is often considered monotonous and less attractive, so the use of IT is expected to enrich teaching methods and expand students' access to diverse learning resources. This research uses literary methods by searching for references in accordance with the context of the research. Research results show that IT has great potential in supporting more interactive and enjoyable learning. Some examples of successful IT implementations include the use of interactive learning applications, social media for learning discussions, the creation of digital content such as educational videos and podcasts, and the implementation of Learning Management System (LMS) to facilitate student progress tracking. However, the study also identified barriers, such as infrastructure constraints, lack of training for teachers, and resistance to change on some sides. To overcome these obstacles, joint efforts between educational institutions, governments, and communities are needed to improve the availability of facilities, as well as conduct a comprehensive teacher training programme in the use of IT. Therefore, with adequate support and mature planning, IT can be a powerful tool in revitalizing religious learning in the madrasah, thereby producing a more dynamic, interactive, and adapted learning process

Application of Q-learning algorithm based on heterogeneous sensor networks in higher education teaching management

With the rapid advancement of information technology and online technologies, it has become imperative for all colleges and universities to address the challenge of leveraging modern management methods to enhance management efficiency, level, and practices. In the realm of educational institution management, the learning management system stands as the cornerstone of contemporary campus management and the entire campus computer network. In this article, the Q-learning algorithm, specifically applied to a heterogeneous cellular network, is employed to investigate the issues pertaining to teaching management in colleges and universities.The design and implementation of the university teaching management system mainly uses heterogeneous cellular networks to establish a physical model of the Q-learning algorithm, and then in the Rayleigh channel, the coverage factor and the system rate expression are derived in a closed form, and in a closed form Derive the energy efficiency expression, and then optimize the density of the basic micro-station algorithm to maximize performance. In the process of system design, this paper uses an algorithm to analyze the current research status of university teaching management, then proposes the research purpose and subject content, and analyzes the university's teaching management function and potential future functional requirements. When designing the university learning management system, it describes in detail the overall design concept, key technologies, system structure, and operating system structure and system topology. This research mainly focuses on the research of campus information management and Q learning algorithm. Based on the cellular network, a large number of campus management cases were analyzed and data fitting at the same time, and a set of Q-learning algorithm teaching management system based on heterogeneous cellular network was designed.

Implementation of a quality control management system according to the ISO 15189 standard in the biochemistry laboratory of Mohammed VI University Hospital of Oujda

Implementation of a quality control management system according to the ISO 15189 standard in the biochemistry laboratory of Mohammed VI University Hospital of Oujda

Relationship Between The Implementation Of Occupational Health And Safety Manajement Systems With Accident Risk In Fire Fighting Officers

Fires often come without warning, presenting unexpected risks for firefighters who must remain alert while on duty. This profession is classified as a job that is full of high risks, and the level of risk faced is closely related to the implementation of an occupational health and safety (K3) management system. This research uses a quantitative analytical survey approach with a cross-sectional design to explore the relationship between the implementation of an K3 management system and the risk of accidents among firefighters. In this study, 36 officers were selected as samples using the random sampling method. Primary data was obtained through questionnaires filled out by respondents and assessment sheets prepared by researchers. Data analysis used the chi-square test with a confidence level of 95% (? = 0.05). Rejection of the null hypothesis (Ho) occurs if the p value <0.05, which concludes that there is a significant relationship. Research findings show that as many as 30 field officers (83.3%) are within the scope of the K3 management system which is categorized as poor. There is a significant relationship between the implementation of the K3 management system and the risk of accidents (p=0.000). In order to minimize the risk of work accidents, increasing awareness and discipline of officers in using Personal Protective Equipment (PPE) is very important. It is hoped that the findings from this research can become a basis for related parties to make system improvements and increase the safety of firefighters in the future. Efforts to increase awareness of the importance of K3 and the use of PPE are expected to reduce the risk of accidents and better protect officers as they carry out their duties to protect the public from the dangers of fire.

Revolutionizing Hospital Operations: A Comprehensive Analysis of Hospital Management System Implementation

Hospital Management System (HMS) technology will transform hospital operations. This summary summarizes HMS implementation's main components, goals, advantages, and drawbacks. Patient registration, appointment scheduling, EMR, billing, inventory management, and analytics are integrated into the HMS. Its main goal is to improve hospital efficiency, automate operations, and centralize information management. Implementing an HMS improves patient care by providing rapid access to precise information, operational efficiency, financial procedures, and data accuracy. The challenges include comprehensive staff training, strong data security, and smooth healthcare system connection. Healthcare organizations are developing digitally, making the hospital administration system essential for patient outcomes and hospital administration

LEARNING MANAGEMENT SYSTEM

In order to revolutionize education, our research paper explores the development and implementation of a revolutionary Learning Management System (LMS). LMS platforms play a key role in contemporary education by acting as virtual centers of instruction. In this article, we examine the essential features of our learning management system (LMS), including content management and user authentication, which improve resource accessibility and expedite instructional procedures. By employing an agile development methodology, we made sure that stakeholders were included at every stage of the project's development. We also talk about the concrete advantages that our LMS provides, such better teaching results and an improved user experience. Our study highlights the transformative potential of our learning management system (LMS) in creating inclusive and stimulating learning environments for all students by highlighting the significance of technology in education. Keywords— Digital Education, Education Technology, Progress Tracking, Accessibility in Education, User Authentication

Energy Consumption Forecasting through Data Mining

Forecasting is vital for effective energy management systems to project future energy requirements and establish demand-supply equilibrium. In this study, we propose to evaluate the effectiveness of a new weather-free forecasting model. The model is created using advanced data mining techniques on an extensive database that contains relevant historical power production data. The motivation behind developing a weather-free model stems from the challenges associated with obtaining reliable weather data in specific scenarios and the desire to reduce computational complexity. By eliminating the reliance on weather data, our model offers a promising alternative approach to energy forecasting, potentially enhancing accuracy and efficiency. In this work, our objectives are twofold. Firstly, we aim to evaluate the interplay between anomaly detection techniques and forecasting model accuracy. Anomalies in energy consumption patterns can significantly impact forecasting accuracy, and thus, understanding their detection and management is crucial. Secondly, we seek to determine the optimal performance metric among three defined metrics explicitly tailored for this application. By addressing these objectives, we aim to contribute to advancing energy forecasting methodologies, providing valuable insights for practical implementation in energy management systems. Our findings have the potential to inform decision-making processes and optimize resource allocation in energy distribution networks, ultimately leading to more sustainable and resilient energy infrastructures.

Influence of resource planning practices in faecal sludge management system in Embu County

The study aimed to assess the influence resource planning influences the implementation of a faecal sludge management system in Embu County between March and December 2022, adopting a descriptive research design. The population included 655 individuals, with a sample size determined using Taro Yamane's formula for landlords and a census method for top managers, technical officers, contractors, and individuals involved in exhausting. Research instruments comprised scheduled questionnaires and interviews, with ethical considerations obtained from relevant authorities. Data analysis utilized SPSS Version 26 for both qualitative and quantitative data, employing thematic analysis for qualitative data and descriptive and inferential analyses for quantitative data. Findings revealed a notable gender imbalance and age-related impacts on perceptions in fecal sludge management. Resource planning effectiveness indicated strengths in objective setting, communication, and risk management, significantly influencing system implementation. Recommendations include strengthening the strategic framework, enhancing vision and mission statements, refining financial planning, addressing role comprehension gaps, aligning resource planning with project timelines, and implementing regular monitoring and evaluation for ongoing improvements. Overall, the study emphasizes the pivotal role of resource planning in the success of fecal sludge management projects and highlights areas for improvement to enhance effectiveness.

Implementation of Learning Management Systems (Moodle): Effects on Students’ Language Acquisition and Attitudes towards Learning English as a Foreign Language

Among the most popular learning management systems (LMS) available worldwide is Moodle. This current study examines how learners’ attitudes toward English as a foreign language (EFL) and their language proficiency are affected by Moodle’s interactive language-learning activities. Thirty-three undergraduate students participated in this study. We investigated the effects of engaging language-learning exercises that were practiced on Moodle using an experimental research design. To find out if the experimental and control groups differed significantly from one another on pre- and post-measures regarding the development of language skills and attitudes toward language classrooms, a number of statistical tests were employed. We conducted a data analysis using SPSS software. The results demonstrated that there were differences favoring the experimental group in the development of language skills and the attitudes of learners toward the language classroom. There were no apparent differences in forming structures, speaking, or listening compared to the control group’s learners. On the other hand, there were notable differences in the overall score, writing and reading skills, and lexical item mastery. Additionally, significant differences in the language acquisition growth of the experimental and control groups were found using an independent-sample t-test in the post-test, with the experimental group benefiting.

Investigation the Incentive Mechanism of Prefabricated Building from Numerical Simulation of Evolutionary Game

The prefabricated building is significance to promote high-quality transformation of construction industry on the building. However, the development of prefabricated market on building are restricted due to unsound management system and inadequate policy implementation. This paper investigates the dynamic strategy choices among the government, construction units and component companies in promoting the prefabricated buildings from the perspective of government incentives, by introducing the evolutionary game theory. The dynamic evolution paths of both players under different factors are investigated through MATLAB numerical simulation. Correspondingly, the incentive mechanism of prefabricated building is discussed based on the obtained numerical simulation results. Finally, the scientific and reasonable formulation of incentive policies for the prefabricated buildings are provided based on the theoretical analysis and numerical simulation results.

Parking Occupancy Detection using Computer Vision Techniques

The surge in vehicle numbers on roads contributes significantly to traffic congestion and management challenges, particularly evident in developing nations like India where the influx of cars exceeds road and parking capacity. Addressing these issues necessitates the implementation of sophisticated parking management systems. This project focuses on two key objectives: detecting vehicle occupancy within marked parking slots and analyzing parking data. Using the parking lot near IIT Kanpur main gate as a reference, video data was collected for 14 consecutive days, enabling the evaluation of vehicle occupancy and parking patterns. Object detection algorithms such as Mask-RCNN and YOLO-v5 were employed to identify occupied parking spaces within the lot. Various methods, including HAAR cascade-based classifiers, DNN-based systems utilizing ResNet classifiers, and RCNN with IoU, were tested for detecting vehicles within allotted slots. The data collected was stored in CSV format for analysis. This project aims to provide insights into detecting parking space availability and analyzing parking data to optimize time and fuel efficiency. In the Mask-RCNN approach, pre-occupied spaces are denoted by red boxes, while green boxes represent available parking spots. Similarly, YOLOv5 was utilized to count cars in video frames and identify available parking spaces. The YOLO Annotation Toolbox facilitated the extraction of parking space coordinates from recorded video frames, which were then visualized in QGIS for further analysis.

Attendance Management

Attendance management systems play a crucial role in various organizations by efficiently tracking and managing employee or student attendance records. This abstract explores the design, implementation, and benefits of an attendance management system. The system utilizes modern technologies such as biometrics, RFID, or mobile applications to accurately record attendance data. Features include real-time monitoring, automated notifications, and comprehensive reporting capabilities. The system not only simplifies administrative tasks but also enhances accountability, productivity, and transparency within the organization. This abstract highlights the importance of attendance management systems in improving operational efficiency and fostering a culture of responsibility. Key Words: Attendance tracking, Employee attendance, Student attendance, Biometrics, RFID

Online Blood Bank Management System

Blood donation plays a significant role in saving the lives of many people worldwide. The blood bank management system is a crucial tool for maintaining the inventory of blood donations and blood Management The System will help in the efficient management of blood donations and Blood Samples. The system allows blood banks to store and manage their data in a secure environment, providing better accessibility and scalability The web application is also designed to improve the communication between the blood bank and donors. In this System, we propose the design and implementation of a blood bank management system using a visual Studio Code. The system will also allow for tracking of donor information, blood types, and inventory records

Evaluation of IoT-Enabled Energy Management Systems: Uncovering Sustainable Energy Storage Parameters and Their Significance

This research begins an in-depth examination of IoT-enabled energy management systems at a time when IoT (Internet of Things) technology has a profoundly revolutionary impact. Finding the fundamental sustainable energy storage characteristics that support their operational effectiveness and environmental sustainability is its main goal. By taking a comprehensive approach, the paper carefully analyzes the existing IoT-based systems, exploring their complex architectural features, real-world uses, and related difficulties. Parallel to that, a thorough literature study is conducted, highlighting the crucial aspects of sustainable energy storage and their inherent significance in energy management systems. The results of this in-depth analysis unequivocally demonstrate how crucial these factors are for improving the effectiveness, performance, and ecological soundness of energy management systems. While highlighting the current environment and key variables, it is important to recognize the research's constraints, which are confined to an analysis of existing IoT-based energy management systems and a literature study. The design and implementation of IoT-driven energy management systems infused with the indicated sustainable energy storage characteristics are anticipated to be included in further research projects. The investigation of practical application, scalability, and a dedication to keeping up with the rapidly changing technology and practices that characterize this dynamic sector would be some of these objectives.

A multiphase, multicentre development and validation of two maturity tools assessing the implementation of the FlaQuM co-creation roadmap.

As part of the new Flanders Quality Model (FlaQuM) towards sustainable quality management systems, a co-creation roadmap with 6 primary drivers and 19 building blocks that guides healthcare organizations has been developed. Currently, no assessment tool is available to monitor hospitals' quality management systems implementation according to this co-creation roadmap. Therefore, we aimed to measure the maturity of the implementation of the FlaQuM co-creation roadmap in hospitals. A three-phase approach in co-design with 19 hospitals started with defining the scope, followed by establishing content validity through a literature review, involvement of content experts (n = 47), 20 focus groups with content experts (n = 79), and a Delphi round with healthcare quality managers (n = 19) to test the content validity index. Construct validity was assessed by confirmatory factor analyses and convergent validity by Spearman's ρ correlation coefficients. Based on 17 included existing maturity instruments and subcomponents of content experts, two maturity tools were developed according to the implementation of the FlaQuM co-creation roadmap: (i) a maturity matrix with 52 subcomponents and (ii) a co-creation scan with 19 statements. The overall scale-content validity index varied between 93.3% and 90.0% in terms of relevance and clarity, respectively. In a sample of 119 healthcare professionals, factor analyses revealed a six-factor structure and 16 (84.2%) of the 19 hypothesis for testing convergent validity between both maturity tools were statistically significant. Measuring the implementation of the FlaQuM co-creation roadmap and monitoring its maturity over time should be feasible by using these comprehensive maturity tools in hospitals. Results of both tools should be able to describe the current state of hospitals' implementation of the co-creation roadmap as basis for strategic improvement plans and next steps.

INNOVATIVE ENERGY MANAGEMENT SYSTEM OF RESIDENTIAL COMPLEX “PANORAMA” IN DNIPRO CITY

Problem statement. Improving energy efficiency is a priority for both the European Union and Ukraine, which has a clear and consistent direction of development in accordance with the strategies of the European Green Deal. Residential buildings consume a large percentage of the electricity produced, and improving the energy efficiency of buildings will contribute to energy conservation, as well as energy security and energy independence from energy imports. Significant savings in energy consumption can be achieved through the development and implementation of energy management systems to implement energy-efficient management of modern buildings and the use of smart technologies in buildings, which will allow to control and optimise energy consumption and promote the rational use of energy. The purpose of the article. To develop an energy management system for the residential complex “Panorama” in Dnipro city. The work was carried out within the framework of the international project PRECEPT [1] under HORIZON 2020 programme. Conclusions. An energy management system for a residential complex based on monitoring of climate and air quality parameters is proposed. The system has been successfully put into operation, and in real time receives and processes external data on energy costs, weather conditions and other parameters, analyses and accumulates data, makes the necessary decisions on energy consumption and sends the results to consumers and building managers to save energy or improve comfort.

A REVIEW OF SMART WATER MANAGEMENT SYSTEMS FROM AFRICA AND THE UNITED STATES

This review paper comprehensively examines smart water management systems, focusing on their development, implementation, and impacts within Africa and the United States. It delves into the theoretical frameworks that underlie these systems, including integrating cyber-physical systems, sustainable development principles, and systems theory in water management. The paper further explores the technological innovations driving smart water management, such as the Internet of Things (IoT), Artificial Intelligence (AI), and remote sensing. It discusses the policy and regulatory frameworks that support or hinder these advancements in different regions. Additionally, it assesses the environmental, social, and economic impacts of smart water management, highlighting the benefits of water conservation, improved access to clean water, and efficiency gains. The challenges facing the implementation of smart water management systems are critically analyzed, including technical, financial, and regulatory obstacles. Future directions for smart water management are also discussed, emphasizing the potential for scalability, adaptation, and the importance of cross-sectoral and international collaboration. The paper concludes by underscoring the necessity of integrating technology, policy, and community engagement in smart water management efforts and calls for further research and collaboration to harness the full potential of these systems in addressing global water challenges.
 Keywords: Smart Water Management, Internet of Things (IoT), Artificial Intelligence (AI), Sustainable Development, Policy Frameworks, Water Conservation.