Systems Analysts Research Articles

Navigating the AI Wave: Overcoming Barriers and Unleashing the Potential of Artificial Intelligence in Transforming European Public Health

Abstract Artificial Intelligence (AI) is not just a future promise but an urgent necessity for modern public health. By providing invaluable insights into disease patterns, therapeutic interventions, and overall public health management, AI has the potential to revolutionise healthcare. To tackle essential public health functions effectively, harnessing AI must become a top priority. However, there is an urgent need for a cohesive strategy across Europe. Currently, varying readiness levels among European nations regarding AI adoption in health result in uneven progress across the continent. This disparity must be addressed to ensure all countries benefit equally from AI advancements. Recognising this, the World Health Organization European Regional Office launched a regional report on digital health in 2023. The report evaluated the integration of big data and advanced analytics, including AI, in health systems. Findings revealed that while 60% of Member States have a national data strategy, only 35% have a policy regulating big data and AI in health, and 38% lack both. This highlights a critical gap that must be filled urgently. Our upcoming session will address these challenges head-on. Organised to provide visionary insights, practical applications, and a landscape view of artificial intelligence in public health, the presentations will be followed by a roundtable discussion in which panellists will delve into practical challenges surrounding AI adoption. They will reflect on the profound impact AI could have on the future of European health systems and offer pragmatic and responsible steps forward, culminating in achievable recommendations for public health professionals. To enhance the session, we will utilise existing Generative AI tools to provide a real-time summary of the plenary and reinforce the call to action in alignment with panellists’ recommendations. This approach ensures that the session discusses the urgent need for AI in public health and actively demonstrates its practical applications. Moderators Natasha Azzopardi Muscat Director, Division of Country Health Policies and Systems, WHO Regional Office for Europe Dimitra Panteli Programme Manager/Senior Health Systems Analyst, European Observatory on Health Systems and Policies Facilitator Stefan Buttigieg Vice-President, EUPHA Digital health section Speakers/Panellists Martin McKee Professor of European Public Health, London School of Hygiene & Tropical Medicine, UK Katharina Ladewig Director, Centre for Artificial Intelligence in Public Health Research, Robert Koch Institute, Germany Marco Marsella Director Digital, EU4Health and Health systems modernisation, Directorate-General for Health and Food Safety (DG SANTE), European Commission Keyrellous Adib Technical Officer Data Science and Digital Health, WHO Regional Office for Europe

Laying the foundations for negative emissions technologies: insights from a workshop

Abstract Pre-empting the worst consequences of climate change requires both mitigation of emissions from the global energy system and carbon dioxide removal through negative emissions technologies. Despite their nascence, negative emissions technologies are being incorporated into nationally determined contributions to achieve ambitious targets. It is therefore urgent to build a scaffolding that enables their expansion. Here, we report results from a workshop that brought together 34 prominent stakeholders, including scientists, engineers, energy system analysts, economists, experts in public policy, and policy makers. Participants discussed the likely cost and performance of these technologies; elucidated the opportunities and risks facing deployment; and envisioned how nations might build the necessary scaffolding for expansion. The majority narrative is that negative emissions technologies will have a bridging role in decarbonizing existing assets. Different models of deployment were proposed. Reaching the scale of deployment necessary to meet emissions targets is lengthy and expensive. Financial and regulatory risks are seen as greater barriers to deployment at scale than technological risk. Greater certainty regarding carbon pricing, production tax credits, and support for geological characterization and trunkline construction could reduce the former. Critical to expansion is a large-scale increase in low-carbon power production; the implementation of regulatory frameworks that remove uncertainty surrounding investment decisions; and prudent societal engagement.

K-Means Algorithm for Clustering Students Based on Areas of Expertise (A Case Study)

Every student of the Software Engineering Technology study program, the Computer and Informatics Department of the Politeknik Negeri Medan in the lecture process is required to take all the courses in the curriculum. From the courses in the curriculum, there are several subject groups that shape student expertise, such as Software Engineering, System Analyst, Database Administrator, and IT Entrepreneur. It is hoped that this expertise will later be used as a reference by students in carrying out their thesis at the end of lectures. The purpose of this study is to group students based on their respective expertise based on data processing of student course scores related to each skill. The data used is data on student scores for batches of 2020 and 2021 with a range of courses from semester 1 to semester 3. The data is tested by implementing the K-Means algorithm. The results of the tests that have been carried out show the grouping of students based on their expertise, with 7 times the number of iterations. Then, data testing was carried out with the RapidMiner application to get the results of the distribution of cluster members obtained, including 12 students occupying Software Engineer skills, 21 students with System Analyst skills, 5 students with Database Administrator skills, and 31 students with IT Entrepreneur skills, along with the distribution chart. Thus, the K-Means algorithm is quite good at grouping students based on their expertise

Masa Depan Pekerjaan: Mengapa Keahlian Sistem Informasi Manajemen Sangat Diperlukan?

In this digital era, Management Information System (MIS) has become an integral part of human life, including in the world of work. The rapid development of technology changes many aspects of work, requiring individuals to have skills that are in accordance with the demands of the times. One of the skills that are indispensable in the future is Management Information System (MIS) skills. SIM combines information and communication technology (ICT) with business processes and human resources to provide management with accurate and timely information to support decision making, business operations, and internal and external communications. This article discusses about SIM skills are indispensable in the future because SIM can help organizations improve efficiency and effectiveness. SIM graduates have extensive career opportunities in various fields, such as information systems analysts, information systems architects, information systems consultants, information systems managers, and data scientists.

E014 Migration of the large complex dataset of the UK Juvenile Dermatomyositis Cohort Biomarker Study: challenges and lessons

Abstract Background/Aims In rare disease research, longitudinal prospective cohort studies are important tools to generate invaluable real-world evidence to inform treatment choices and understand outcomes. The Juvenile Dermatomyositis Cohort Biomarker Study & Repository (JDCBS) is a multi-centre, prospective longitudinal cohort study with linked biobank, established in 2000, with 17 active UK-Centres contributing data and samples. It supported over 60 projects generating new evidence, treatments and biomarkers in the field of juvenile myositis. The database in use until March 2023 used aged technology which did not sufficiently meet current needs of the study. REDCap is secure web application for hosting online databases, able to support online longitudinal data capture for multi-centre research studies. The aim of this project was to build and deliver a future-proofed environment and migrate the large JDCBS dataset into the REDCap platform. Methods Clinical, laboratory and outcome data at clinic visits were previously captured through a web interface which loaded data into an MS-Access back-end database. In this project, an internationally agreed set of data elements for use in research in juvenile myositis was adopted and a new data entry platform built, using REDCap and a Trusted Research Environment hosted at Great Ormond Street Digital Research Environment. A multidisciplinary team was formed to deliver migration, including clinicians, study investigators, systems analysts, and health informatics data scientists. Careful comparison of fields in the existing database to those in the internationally agreed dataset before delivery of the new REDCap database and migration of the legacy data took place. Results Key steps to deliver the REDCap interface and migrate the data included: 1. Agreement of data elements to be included, dropped or added, compared to the legacy dataset; 2. Design of study forms and fields within REDCap; 3. Testing new interface; 4. Script design and testing for migration; 5. Data cleaning of legacy dataset; 6. Training 15 collaborators and REDCap accounts management for 63 collaborators; 6. Migration of legacy dataset and quality control of migrated data; 7. Post-migration data checking and feedback on use of the new platform; 8. Summary reports of process, data quality and audit trail of project. In total, 670 patient records and 7431 clinical forms, with data from 338 data fields, were successfully migrated to the new REDCap database. A median value of 11 clinical forms (IQR: 6-18), and 3,718 data points (IQR: 2,028-6084) were migrated per patient. Conclusion Migration of a multi-dimensional longstanding study data set is a complex multi-step task requiring multi-disciplinary engagement of stakeholders. Key elements to achieve success include early agreement of data fields for inclusion, strict definitions of fields, regular engagement with database users, providing robust training, enabling feedback, and acceptance that research datasets should strive to be parsimonious in fields collected. Disclosure D. Cancemi: None. R. Hamilton: None. S. Varakliotis: None. H.D. Nguyen: None. N. Sabire: None. N. Martin: None. L. McCann: None. C. Papadopoulou: None. L. Wedderburn: Other; LW has non-renumerated collaboration with Novartis Inc, relevant to this work.

Predictors of adoption of blockchain technology by academic libraries in Nigeria

PurposeThis study aimed to predict and understand the academic libraries' probability of successful adoption of blockchain within the lens of integrated technology acceptance model (TAM) and technology organization and environment theory (TOE) framework.Design/methodology/approachA mixed approach was employed to gather data from librarians (292) and system analysts (46) totaling 338 respondents. The total enumeration sampling technique was considered. Qualitative data were analyzed thematically, while quantitative data were analyzed using structural equation model (SEM).FindingsPerceived usefulness and policy are the important factors that influence academic libraries' blockchain adoption intentions. Unlimited access to both print and electronic resources, security of users' information and easy collaboration between users and library staff were found to be the benefits of blockchain application to academic libraries' operations. Major challenges to the adoption of blockchain in academic libraries include the cost of infrastructure related to blockchain applications, privacy issues and a lack of understanding of blockchain technology among librarians.Research limitations/implicationsFuture studies would need to include more relevant items to the observed variables of the independent variables that were found insignificant in this study.Practical implicationsThe findings of this study will create a roadmap for government and polytechnic management on the factors that could strengthen the adoption of blockchain in the libraries.Social implicationsThe outcome of this study came at a crucial moment when the majority of academic libraries in developing nations like Nigeria were skeptical about the deployment of blockchain technology in their libraries.Originality/valueThe study identified new factors that influence blockchain adoption intention.

Strategies for Information Systems Development: Analyzing Requirements Determination and Project Selection

This study explores the crucial functions of systems analysts, highlighting their tasks in pinpointing business issues, overseeing project initiation, and leading the creation and refinement of information systems. Central to this comprehensive role is the complex task of defining system necessities. The objective of this paper is to thoroughly examine various approaches or strategies for identifying these requirements, alongside an in-depth investigation into the methods used for selecting strategic projects.

Strategic Identification and Selection of Information Systems Projects

Strategic Information Systems Planning (SISP) stands at the intersection of technology and organizational strategy, serving as a guiding compass for businesses navigating the increasingly complex digital landscape. This research report explores the critical aspects of Strategic Information Systems Planning (SISP), focusing on various approaches to SISP and best practices to avoid common mistakes during the process. Systems analysts play a pivotal role in this process, ensuring the alignment of IS projects with organizational goals and objectives. By examining different SISP approaches and highlighting best practices, this report aims to provide valuable insights into effective project identification and selection for achieving organizational success.

DISTRIBUTION OF SKILL REQUIREMENTS FOR INFORMATION TECHNOLOGY GRADUATES IN INDONESIA

The objective of this study was to get further insights into the significance of both hard skills and soft skills in securing employment within Indonesia's Information Technology (IT) industry till 2023. To enhance their abilities and effectively vie with their counterparts, IT graduates must possess a clear understanding of the specific talents that organisations require. Universities and other policymakers should utilise this knowledge to develop a plan that aligns the abilities required in the practical world with the skills necessary for graduation. Scraping techniques were employed to retrieve data from three Indonesian job board websites. Data for this study was managed using text processing and statistical techniques. Furthermore, the material underwent cleaning prior to analysis. According to the survey, Web Development, Programmer, and Help Desk Support are the predominant categories of online IT occupations. Out of the twenty highest-ranking occupations, fourteen were exclusively focused on developing software, applications, or programming for mobile or web platforms. Additionally, there was a Network Engineer, a Data Engineer, a Data Analyst, and a System Analyst as jobs that are also widely offered. SQL emerged as the leading computer language. Employers highly value applicants that possess proficiency in SQL as well as another programming language such as Java, C++, or PHP. Collaborative teamwork is consistently the most highly desired ability among employers. Motivated by a strong aptitude for acquiring knowledge and employing analytical thinking. All three of these factors are interconnected with IT projects, which often encompass a diverse array of employment roles.

ЗАСТОСУВАННЯ СИСТЕМНОГО ПІДХОДУ ПРИ ВИКОНАННІ ІТ-ПРОЕКТІВ

Abstract. Modern requirements for the profession of an IT specialist are determined not only by the ability to work with specific technologies or programming languages. Today, an IT specialist faces a deeper task - understanding the functioning of complex systems and having the skills to analyze and solve complex problems. System analysis is a key success factor in the field of information technology, contributing to a holistic approach to solving problems and tasks that arise before IT specialists. Demand for systems analysts is growing rapidly and they are becoming an integral part of the IT team. Keywords: integrated software tools, IT team, competitiveness, principles of system analysis, system analyst.

Navigating Information Systems Strategy: Determination and Selection Insights

This research explores the pivotal role of systems analysts, exploring their responsibilities in identifying business problems, managing new projects, and driving the design and development of information systems. At the core of this multifaceted role lies the intricate process of determining system requirements. This paper aims to provide an exhaustive analysis of distinct methods or strategies for requirements determination, coupled with a sophisticated exploration of the strategic project selection mechanism.

MULTI-CRITERIA SELECTION OF STANDARDS FOR SYSTEM ANALYST ACTIVITIES IN ORGANIZATIONS

The paper defines the methodology for the selection of standards and tools that system analysts use for the purposes of analyzing the computer infrastructure of organizations. The goal of system analyst analysis is primarily to increase: the speed of processing information, the efficiency of data processing and data exchange. A large number of standards and tools complicates an adequate choice, and on the other hand system analysts are not the only ones who influence the choice. In the analysis of the choice of standards and tools, in the second chapter an algorithm for determining the weight coefficients for the criteria selected by the company and the ranking of the standards for selection is presented through an example. In order to choose the best standard, the choice was made between four standards described in the third chapter. The chapter defines the criteria that cover IT activities for the selection of standards according to selected criteria and defined weight coefficients in the observed company. Finally, on the assumption that the company together with the analyst chose “k” criteria, where the methodology (LBWA) for the selection of weight coefficients for the criteria was proposed, a new model for calculating the ranking of standards was presented, i.e. the choice of the best. The conclusion of the paper is that the presented procedure for choosing standards is not complicated, that it is very successful, and that in this way the proposals were more easily accepted and implemented in the fastest way.

An Actor-Oriented and Architecture-Driven Approach for Spatially Explicit Agent-Based Modeling

Nowadays, there is an increasing need to rapidly build more realistic models to solve environmental problems in an interdisciplinary context. In particular, agent-based and spatial modeling have proven to be useful for understanding land use and land cover change processes. Both approaches include simulation platforms often used in several research domains to develop models explaining and analyzing complex phenomena. Domain experts generally use an ad hoc approach for model development, which relies on a code-and-fix life cycle, going from a prototype model through progressive refinement. This adaptive approach does not capture systematically actors’ knowledge and their interactions with the environment. The development and maintenance of resulting models become cumbersome and time-consuming. In this article, we propose an actor and architecture-driven approach that relies on relevant existing methods and satisfies the needs of spatially explicit agent-based modeling and implementation. We have designed an Agent Global Experiment framework incorporating a meta-model built from actor, agent architecture, and spatial concepts to produce an initial model from specifications provided by domain experts and system analysts. An engine is built as a tool to support model transformation. Domain knowledge including spatial specifications is summarized in a class diagram which is later transformed into the agent-based model. Finally, the XML file representing the model produced is used as input in the transformation process leading to code. This approach is illustrated on a hunting and population dynamic model to generate a running code for GAMA, an agent-based and spatially explicit simulation platform.

Extracting software requirements-related information from online news using DomText-WMDS

Currently, there are not many studies that assess software requirements extraction from non-software artifacts. Most of the research in these related areas are focuses on software artifacts such as project descriptions or user reviews as a source of requirements extraction. This research aims to identify relevant information to the software requirements from online news using the vector space model. This software requirements-related information can assist systems analysts in discovering the problem domain based on the lesson learned presented by stakeholders in online news. This research proposes DomText-WMDS to extract requirements-related information from online news. We used online news and public software requirements specification dataset to develop software-specific vocabulary using domain specificity technique. Then we expanded the specific vocabulary software to obtain more comprehensive results by building vector space model from online news documents. This updated version of software-specific vocabulary can be used for basic filtering of software requirements-related information that previously extracted using the part-of-speech (POS) chunking. This study improved the performance for extracting software requirements-related information, with precision and recall 61.09% and 60.66% compared to domain specificity approach that only manages to obtain 43.34% and 40.78%.

Goodwill impairment, auditor dismissal and opinion shopping–evidence from China

ABSTRACT Using listed companies from 2010 to 2019 in China, we investigate whether firms engage in opinion shopping activities when firms dismiss the auditors following a goodwill impairment. We find that firms tend to dismiss the incumbent auditors after receiving a goodwill impairment opinion and engage in opinion shopping with their successor auditors. Furthermore, the successor’s auditor quality is similar to the predecessor’s audit quality following a dismissal. Moreover, firms with low-quality internal control system and low analyst coverage level are more motivated to engage in opinion shopping subsequently after receiving a goodwill impairment opinion. Our findings would be of interest to corporate governance activists, auditors, investors and regulators.

PENGEMBANGAN SISTEM PENGGAJIAN YANG TERINTEGRASI DENGAN APLIKASI ARSIP SURAT BERBASIS WEB UNTUK PARA STAF FREELANCER DI CV LOKA MEDIA

Database Management is the main job that is part of the development of Information and Communication Technology. Along with the very rapid development of the world of Information and Communication Technology, the data and transaction management system has also experienced developments in its management. In the information age like today, a database management system must be run in a computerized system so that data can be managed better and faster. One of the systems that requires computerization to run better is the payroll system. The purpose of this research is to develop a web-based payroll system that is able to be integrated with mail archive applications so that it can increase the effectiveness of calculating salaries from the work of employees. This study uses the Systems Development Life Cycle method, namely the stages of work carried out by systems analysts and programmers in building information systems and also methods in developing them. This payroll system will be easier and more efficient than the payroll system that has been running before. The results of this study are a payroll system that is integrated with a web-based mail archive application created using the PHP programming language for freelancer staff at CV Loka Media.

STUDI KUALITATIF SISTEM INFORMASI MANAJEMEN RUMAH SAKIT UMUM DAERAH BATARA GURU BELOPA KABUPATEN LUWU

Many activities currently rely heavily on information systems, whether in hospitals, health centres, or clinics. A quality system cannot be separated from the role of a system analyst who has great influence and is the backbone of developing a device. The purpose of this study was to find out how the hospital management information system was implemented at Batara Guru Belopa Hospital. The research method used in this study uses a descriptive qualitative approach to describe the management information system of the Batara Guru Belopa hospital at the input, process and output stages. The results of this study found that at the input stage regarding the availability of staff, there was still a lack of staff processing the complete final data according to the format of the Ministry of Health, at the process stage regarding data collection carried out in all outpatient units and inpatient units by filling out the patient register book then entering it into the census form The patient's daily allowance is then paid to the medical record department every month. Before data processing, data correction is carried out first so that incomplete files are sometimes found. Meanwhile, in the output stage, only 3 types of reports were produced (RL 1, RL 2a, RL 2b) which were not by the provisions of the Ministry of Health (RL 1, RL 2a, RL 2b, RL 3, RL 4, RL 5 and RL 6 ). Based on the conclusions, this study suggests that it is necessary to consider additional personnel. Hospitals should be able to include in the Regional Revenue and Expenditure Budget the concept of developing human resources according to their qualifications so that skilled workers can be obtained in their fields. We recommend that the online information network can be optimally enabled immediately. A damaged computer should be repaired immediately.

Assessment of Personality for Influencing Team Dynamics

Personality and team dynamics are closely related and can have a significant impact on the effectiveness of a team. Having a diverse range of personalities on a team can bring new ideas and solutions, but it can also lead to conflicts if team members have difficulty communicating or working together effectively. Personality and team dynamics play an important role in determining the effectiveness of a team. A diverse range of personalities can bring new ideas and solutions, but itcan also lead to conflicts if team members have difficulty communicating or working together effectively. This is a literature based research to find team dynamics under different personality. The development of innovative solutions to complex problems in the field of information systems (IS) has become increasingly challenging. In order to meet these challenges, many organizations have adopted the use of cross-functional teams in their IS development process. These teams consist of both users, such as accountants and salespeople, and IS professionals, such as systems analysts and programmers. The goal of these teams is to work together effectively in order to produce successful systems. The team-building literature suggests that teams should have high levels of satisfaction with their performance, but in reality, this is not always the case. This suggests that there may be challenges in effectively implementing teams in the IS development process.

A Situational Based Reliability Indices Estimation of ULT Freezer using Preventive Maintenance under Fuzzy Environment

Reliability of high demand machines is quite necessary and it can be maintained through proper and timely maintenance, Ultra-low temperature (ULT) freezer is one of those kinds of machines which are in high demand during covid-19 pandemic for the storage of vaccine. The rapid production of vaccines for the prevention of coronavirus disease 2019 (COVID-19) is a worldwide requirement. Now the next challenge is to store the vaccine in a ULT freezer. It’s become really a big problem to store the vaccine which creates the demand of ULT freezer. The present paper investigates a situational based performance of the ULT freezer with the aim to predict the impact of different component failures as well as human errors on the final performance of the same. For the study, it is not possible to extract the parameters (failure rate and repair time) of the components that never failed before. Thus, to overcome this difficulty, here authors use the possibility theory. Authors present the available data in Right triangular fuzzy number with some tolerance as suggested by system analyst. The lambda-tau methodology and arithmetic operations on right triangular generalized fuzzy numbers (RTrFN) are used to find the various performance parameters namely MTTF, MTTR, MTBF, reliability, availability, maintainability (RAM) and ENOF, under fuzzy environment. The proposed model has been studied using possibility theory under working conditions, preventive maintenance as well as under the rest of conditions. This study reveals the most and least critical component of the ULT freezer which helps maintenance department to plan the maintenance strategy accordingly.

Determination of Spatial Scale in Martian Landscape Images Acquired by the Curiosity Rover, and Viewing Image Scale and Target Chemistry Using the ASIC Website

AbstractIn this paper we describe a method to compute spatial scales for images acquired by NASA's Mars Curiosity rover (Mars Science Laboratory, MSL). The method is based on the assumption that the rover stands on an infinite plane that may have any orientation with respect to the local gravity vector. While not new, it is the first time that this method is systematically applied to Martian images acquired by a lander. A continuously run software pipeline processes the images acquired by the rover within a 20 m radius, adds approximate scalebars to the raw images, and generates, whenever possible, rectified (warped) versions of those images. The products of this software pipeline and the chemical compositions of relevant rover science targets from NASA's Planetary Data System archive, are made available to the public via the Approximate Scale for Images and Chemistry website, which has been developed in collaboration with the Planetary Data System Analyst's Notebook for the MSL mission. Hyperlinks connect the two resources.