Development Of Management System Research Articles

Blood Management System Using Java with GUI and Array List-based Database

This research paper presents the development of a Blood Management System (BMS) using Java with a graphical user interface (GUI), ArrayList as a data structure for managing records, and file handling for persistence. The system provides an efficient and user-friendly platform for blood donation management, focusing on functionalities accessible to an administrative user (admin) only. Key features include donor data management (adding, updating, searching, deleting), stock management of blood groups, and essential application controls like login/logout and exit functionalities. This system aims to streamline the management of blood banks by providing quick access to critical information such as donor location, blood group, and stock availability. The source code for the Blood Management System is accessible at https://github.com/BloodBankManagment.

Harnessing AI for advancing pathogenic microbiology: a bibliometric and topic modeling approach

IntroductionThe integration of artificial intelligence (AI) in pathogenic microbiology has accelerated research and innovation. This study aims to explore the evolution and trends of AI applications in this domain, providing insights into how AI is transforming research and practice in pathogenic microbiology.MethodsWe employed bibliometric analysis and topic modeling to examine 27,420 publications from the Web of Science Core Collection, covering the period from 2010 to 2024. These methods enabled us to identify key trends, research areas, and the geographical distribution of research efforts.ResultsSince 2016, there has been an exponential increase in AI-related publications, with significant contributions from China and the USA. Our analysis identified eight major AI application areas: pathogen detection, antibiotic resistance prediction, transmission modeling, genomic analysis, therapeutic optimization, ecological profiling, vaccine development, and data management systems. Notably, we found significant lexical overlaps between these areas, especially between drug resistance and vaccine development, suggesting an interconnected research landscape.DiscussionAI is increasingly moving from laboratory research to clinical applications, enhancing hospital operations and public health strategies. It plays a vital role in optimizing pathogen detection, improving diagnostic speed, treatment efficacy, and disease control, particularly through advancements in rapid antibiotic susceptibility testing and COVID-19 vaccine development. This study highlights the current status, progress, and challenges of AI in pathogenic microbiology, guiding future research directions, resource allocation, and policy-making.

The Subscription Management System

Subscription-based membership systems have become increasingly popular for digital services like Spotify, Prime Video, and YouTube. This project explores the development of a subscription management system using JavaFX, focusing on creating an intuitive user interface and efficient backend integration. The system supports functionalities such as user registration, subscription management, and payment processing, offering a seamless experience for both administrators and users. This study addresses key aspects such as GUI design, security challenges, performance optimization, and integration of RESTful APIs for backend communication. The implementation aims to provide a scalable, secure, and user-friendly solution for managing various subscription models. Additionally, this research compares different subscription models to optimize user engagement and retention. Advanced features like automated billing, personalized recommendations, and analytical insights are integrated to enhance the overall user experience. The study also highlights best practices for integrating third-party payment gateways and managing user data securely. The results demonstrate the system’s ability to handle a large user base effectively while maintaining high performance and security standards. Future work will explore the integration of machine learning techniques to predict user preferences and improve personalization further

Utilizing Technology and Artificial Intelligence in Educational Administration to Enhance School Performance at Junior High School

This study aims to explore the use of technology and artificial intelligence (AI) in education administration to improve school performance. In the growing digital era, demands for efficiency and effectiveness in education administration are increasing, especially with the development of school information management systems (SIMS) and AI-based technologies. This research examines how these technologies can automate routine tasks such as class scheduling, student data management, as well as improve data-driven decision-making that is more accurate and efficient. The research method used in this study is descriptive qualitative, with the process of collecting data through in-depth interviews, observation, and document analysis directly from several schools that have adopted this technology. In analyzing the data, I used Miles and Hubberman's data triangulation technique in the form of data reduction, data analysis, and conclusion drawing. The results show that the implementation of technology and AI has improved operational efficiency, accelerated administrative processes, and facilitated the monitoring of student and staff performance. However, the study also found challenges in technology adoption, including limited infrastructure, resistance to change, and concerns regarding data privacy. To overcome these obstacles, a holistic strategy is needed, including the development of supportive policies, digital skills training for staff, and improvement of technology infrastructure in schools. This research concludes that although the application of technology and AI in education administration faces various barriers, the potential benefits are significant, especially in terms of improving the efficiency, transparency and overall quality of school performance.

Standard of Micro-Credential Quality Management System To Enhance Employability and Competitiveness of Graduates

The development of a Micro-Credential Quality Management System (QMS) aims to ensure that micro-credentials are of high quality and aligned with industry needs. Micro-credentials provide formal recognition of specific competencies acquired through short-term, focused learning, offering an efficient means to address the rapidly evolving labor market and technological landscape. This research adopts a Research and Development (R&D) methodology, involving a preliminary study, system development, pilot testing, and validation, to create a robust QMS framework. The QMS focuses on establishing clear standards, rigorous assessment processes, continuous improvement, and collaboration with industry stakeholders to validate competencies. The pilot testing of the QMS in vocational high schools demonstrated its effectiveness in enhancing the relevance and recognition of micro-credentials. The system ensures that issued credentials are aligned with industry demands, improving graduates' employability and competitiveness. The findings indicate that a well-developed QMS for micro-credentials can address gaps in standardization and ensure that credentials are valid, reliable, and recognized across different sectors. The implementation of the QMS facilitates tailored skill acquisition, lifelong learning, and global recognition, making it a critical tool for enhancing workforce readiness and competitiveness.

Consensus of experts on clinical quality management for flow cytometry-based detection of lymphocyte subsets

Flow cytometry (FCM) is used to detect lymphocyte subsets and evaluate the level of cellular immunity in the body, which is one of the commonly used FCM detection projects in clinical practice. To date, numerous institutions and academic organizations, both domestically and internationally, have published guidelines and consensus documents covering various aspects, including the establishment of cytometry laboratories, standardized procedures for detecting lymphocyte subsets, and their clinical applications across different fields, each with a distinct focus. However, in clinical practice, laboratories continue to face challenges in establishing standardized quality management systems, implementing quality assurance activities, developing appropriate detection protocols and gating strategies for various scenarios, and identifying and resolving common issues encountered during detecting. Currently, there is no unified consensus on these issues. To standardize the development of quality management systems for lymphocyte subsets detecion via FCM, enhance laboratory quality management practices, and ensure the accuracy and reliability of results, the Laboratory Medicine Committee of Chinese Association of Integrative Medicine (LMC-CAIM) convened experts to formulate this expert consensus.

Determining skill mix and optimal multidisciplinary team composition: A scoping review.

Holistic care models aligned to population care needs are needed to help leaders shed pre-existing mindsets when determining skill mix and Multidisciplinary Team (MDT) composition. Using a PRISMA flowchart, a narrow eligibility criterion, and a research question, this scoping review resulted in 9 frameworks/models published between January 2000 and September 2023. Analysis showed common methodological elements such as a population needs-based approach, a systematic process, engagement, three or more professions reporting task or competency level analysis, change advocacy, and reliance on population and workforce supply data. Key system enablers were sponsorship, access to population needs-based and workforce supply data, a learning management system for MDT development, and health human resource policies and governance to drive health system redesign to distribute an equitable workforce. This scoping review offers health leaders and policy-makers options and next-step considerations to inspire fresh thinking for making evidence-informed decisions about skill mix and MDT composition.

Development of artificial intelligence-based teaching factory in vocational high schools in Central Java Province

The objective of this study is to examine and assess the progress of utilizing artificial intelligence (AI) in teaching factory learning to enhance the digital skills of vocational high school (SMK) students in the province of Central Java. This study employed a qualitative approach utilizing metaethnography, as well as a quantitative approach employing Aiken’s V formula and strength, weakness, opportunity, threat (SWOT) analysis to identify and analyze the issues that arise. The present study examines the locations of SMKN 2 Purbalingga and SMKS Telkom in Central Java. Furthermore, relevant documentation was also utilized as a source of data. The research findings indicate that the implementation of AI in teaching manufacturing learning has effectively facilitated the development of an online learning management system. This system is characterized by its organized and integrated approach inside the online learning management system. The administration of teaching materials may be conducted autonomously and facilitated by the utilization of diverse information and communication technology or e-learning functionalities, including chat, email, blogs, and social media platforms. The creation of new enterprises within the domain of AI. It is imperative for educational institutions to align their policies with the demands and requirements of the business.

A Survey Management System: Design and Implementation Using Java Swing and MySQL

Abstract: This paper presents the design and development of a survey management system using Java Swing and MySQL, aimed at simplifying the process of creating, managing, and participating in surveys. The system allows registered users to create surveys, generate unique access codes, and manage their surveys through an intuitive interface. Users can log in to view, delete, or manage their surveys, while guests can participate in surveys using the unique codes provided. The system provides an offline solution, making it particularly useful in environments with limited internet connectivity. Key features include user authentication, survey management, and guest access to surveys. The system's architecture is built using Java for the front-end and MySQL for the back-end, ensuring efficient data handling and storage. This project addresses the growing need for flexible and user-friendly survey management tools, especially in academic and research settings. The paper also discusses the challenges encountered during development, potential future enhancements, and the broader applications of this system

Development and Test Validation of Energy Management System for Marine Hybrid Power System

Development and Test Validation of Energy Management System for Marine Hybrid Power System

A Smart QR: Based Library Management System

This research is important since libraries are becoming more technologically advanced. For thousands of people, libraries continue to be the main source of information, even in the age of digital information. This research goal is aimed to provide a smart, easy and user- friendly method for managing library materials using QR code system. Currently, the majority of library management systems need a lot of finance, resources, supervision, and human work. With the implementation of this Quick response (QR) code management system, lots of challenges and efforts is reduced drastically ranging from; money, time, energy and other resources. Users of libraries can access a single application that powers this management system. Users can use the system to issue, return, and manage library materials with little to no help from library staff, thanks to the QR code capability. The developed management system streamlines operations, maintains an audit trail, and increases user accessibility to the library.

Machine learning and multisource data analysis approach towards traffic accident risk prediction

Traffic accidents are continually a concern across the world bringing with them huge economic costs and high rates of fatality and injuries each single year. Predictive modeling can lessen such risks if the accident hotspots and timing can easily be ascertained. This study collects various data including historical accident reports, water and meteorological conditions, road characteristics, and telematics data, to form traffic accident risk predictive models. To construct and analyze these predictive models, we use various machine learning techniques such as logistic regression, decision trees, and ensemble methods (Random Forest and Gradient Boosting). The results bear out as efficient and effective, ensemble models are streets ahead than regression-based techniques with Gradient Boosting achieving AUC-ROC scores of up to 0.89. The results of this research can also assist in applying effective safety measures in a more cost-effective manner as well as facilitate the development of efficient transport management systems and policies.

Simulation and Experimental Study on Heat Transfer Performance of Bionic Structure-Based Battery Liquid Cooling Plate

This study presents a bionic structure-based liquid cooling plate designed to address the heat generation characteristics of prismatic lithium-ion batteries. The size of the lithium-ion battery is 148 mm × 26 mm × 97 mm, the positive pole size is 20 mm × 20 mm × 3 mm, and the negative pole size is 22 mm × 20 mm × 3 mm. Experimental testing of the Li-ion battery’s heat generation model parameters, in conjunction with bionic structure and micro-channel features, has led to the development of this innovative cooling system. The traditional bionic liquid cooling plate’s structure is often singular; however, the flow path of the liquid cooling plate designed in this paper is based on the combination of the distribution of human blood vessel branches and the structure of insect wing veins. The external dimension of the liquid cooling plate is 152 mm × 100 mm × 6 mm (length × width × height). Utilizing numerical simulation and thermodynamic principles, we analyzed the heat transfer efficacy of the bionic liquid cooling module for power batteries. Specifically, we investigated the impact of varying coolant flow rates and the contact radius between flow channels on the thermal performance of the bionic battery modules. Our findings indicate that a liquid flow rate of 0.6 m/s achieves a stable maximum surface temperature and temperature differential across the bionic battery liquid cooling module, with a relatively low overall system power consumption, suggesting room for further enhancement of heat transfer performance. By augmenting the contact radius between flow channels, we observed an initial increase in the maximum surface temperature, temperature differential, and inlet–outlet pressure differential at a flow rate of 0.2 m/s. However, at flow rates equal to or exceeding 0.4 m/s, these parameters stabilized across different design Scenarios. Notably, the pump power consumption remained consistent across various scenarios and flow rates. This study’s outcomes offer valuable insights for the development of liquid-cooled battery thermal management systems that are energy-efficient and offer superior heat transfer capabilities.

Analysing the Legal Development of the Case Management System in the High Court of Tanzania

Abstract This article traces the legal development of case management as applied in the High Court of Tanzania for the timely justice dispensation. To make it easier for the readers, the authors of this article employed a doctrinal approach by carrying out a systematic documentary review, including the constitution, legislation, reports, and case laws. This review aimed to provide a thorough historical perspective of the development of the case management system in the High Court of Tanzania. The findings reveal that Tanzania introduced a case management system to address the inefficiency of justice in the court system. Furthermore, timely dispensation of justice is the constitutional essence of the existence of the Judiciary of Tanzania. However, even with the introduction of the case management system, the need for the timely justice dispensation in the court of law has not been satisfactorily achieved.

Enhancing linguistic research through AI-powered reference management: A proposal for a voice-controlled academic assistant

In today’s digital age, the amount of available research literature is growing exponentially, making it more challenging for researchers to efficiently manage and cite relevant sources. This issue is particularly pronounced in fields like linguistics, where scholars must contend with interdisciplinary sources spanning linguistics, psychology, and computer science. This paper proposes the development of an AI-powered, voice-controlled academic assistant aimed at enhancing the research experience for linguists by streamlining the literature review and citation process. The assistant would use natural language processing (NLP) and machine learning to allow researchers to search for, retrieve, and cite references using voice commands, thereby eliminating many of the tedious aspects of academic research. This proposal outlines the current state of voice-controlled technology, discusses how these technologies can be implemented in academic workflows, and presents a roadmap for the development of a linguist-friendly reference management system. By addressing key technical, ethical, and practical concerns, this paper offers a compelling vision for the future of linguistic research, powered by AI.

Operational long-term management of a salt cavern for industry targeted green H2 production

Hydrogen and its derivatives such as ammonia are increasingly important for reducing carbon emissions in sectors with limited alternatives. Large production systems are generally preferred to reduce costs and for those, advanced management is a cornerstone to the project economic viability. The present work explores the development of an Energy Management System for an industrial low-emission ammonia production platform. The latter is connected to the electrical grid and consists of 1.5 GW of renewable production units, around 500 MW of electrolyzers and storage facilities including especially a salt cavern for H2 storage. The long-term management of the salt cavern is decisive to enhance the profitability while satisfying industry related constraints such as the carbon content of the produced H2. The literature lacks in addressing both aspects simultaneously. Methodological approaches to tackle the long-term management and industrial constraints are proposed and compared. For the considered platform, it is shown that a strategy based on precalculated cost functions in the long term horizon allows relative gains of 2.5% with respect to a state-of-the-art short term management leading to an annual cost saving of approximately $6.2 million in the platform operational expenses. This translates to a reduction of the gap between the state-of-the-art and the optimal a posteriori solution by about 82%.

Models and methods of the technological maturity development of self-managed organizations in the context of using the syncretic methodology

Introduction. Infrastructure restoration projects of Ukraine are being implemented in the difficult conditions of war and many challenges. To increase the effectiveness of their implementation, project-oriented organizations need an effective management system. At the same time, it is necessary not only to apply innovative models and methods of project management developed by the world's leading organizations and companies, but also to create our own scientific developments, taking into account complex environmental conditions. Since restoration projects are related to the construction industry, which is one of the locomotives of the Ukraine's economy development as a whole. Therefore, the development of new models and methods of increasing the effectiveness of project-oriented organizations is an urgent scientific task. Problem statement. The problems of management systems development of project-oriented organizations implementing restoration projects using modern (including syncretic) project management methodologies are described. The need to improve the efficiency of such management systems is emphasized. The importance of developing a syncretic maturity model for use by project-oriented organizations for the implementation of recovery projects within the syncretic project management methodology is substantiated. The scientific task of developing a model of syncretic maturity in the field of project management for use in the researched type of projects is formulated.

Evaluation of the Energy Management System in Water and Wastewater Utilities in the Context of Sustainable Development—A Case Study

Energy management in enterprises is an important issue in the context of improving energy efficiency, energy use, and energy consumption. This is consistent with the Sustainable Development Goals. The purpose of this study was to evaluate the energy management system of water and wastewater utility in the context of sustainable development based on the opinions of managers and employees. The results indicate the involvement of the surveyed enterprise in energy management system development activity. This demonstrates the orientation of the surveyed enterprise to support activities to improve energy performance in line with the implementation of sustainable development. The added value is that the developed research tool can be used in studies of other enterprises to assess the level of energy management.

Using data and analytics to optimise the human resources processes

Introduction: Business development and HR management systems based on modern technologies open up significant prospects for companies to actively promote themselves in the market and achieve positive results in the context of HR management. Currently, many companies are implementing modern HR tools aimed at increasing efficiency and reducing ongoing risks at minimal cost. In this regard, HR analytics has become a necessary tool to help find information about employees and make informed decisions based on it. Objective. Given the relevance of the research topic, it becomes possible to determine its purpose, яка полягає в узагальненні та систематизації підходів до застосування інструментів, програмних продуктів та платформ для аналітики процесів управління персоналом з метою покращення загального економічного стану компанії. Methods. To achieve this goal, the general scientific methods of analysis, synthesis, generalisation, induction and deduction were used. Results. To achieve this goal, the following results were obtained: the essence of HR analytics and the possibilities of its application for personnel management were determined; software products and platforms for analysing personnel management processes were generalised; the main analytical tools used in the field of personnel management were systematised. It is proved that one of the most important areas of application of HR analytics is the recruitment process. Conclusions. With the help of data and new existing analytical methods, HR professionals have the opportunity to optimise recruitment procedures, identify suitable candidates, which will ultimately contribute to improving the company's condition, provided that the labour resources and intellectual capital are used in a rational and balanced manner

Gym Management System Using Python Django

An inventive software program called the Gym Management System (GMS) was created to maximize and simplify the functioning of gyms and fitness centers. In a time when fitness and health are more important than ever, effective management tools are essential. By making use of the Django web framework, this project makes it possible to create a solid, user-friendly platform that meets the various needs of gym management, employees, and patrons. The GMS includes all of the necessary features, including class scheduling, attendance monitoring, member registration, and payment processing. The initiative intends to increase member involvement and operational efficiency by combining these features into a single system. The fitness sector has grown quickly, and this has made effective gym management systems more and more necessary. Conventional methods of managing gyms, which frequently depend on manual procedures, are ineffective and prone to mistakes, especially when the number of memberships and services offered increases. The design, development, and implementation of a comprehensive Gym Management System (GMS) are presented in this paper. The GMS automates a number of operational tasks, including scheduling fitness sessions, tracking attendance, accepting payments, and managing trainers. Through the use of an intuitive interface, the suggested system seeks to increase data accuracy, optimize member experience, and streamline administrative processes.