https://qabasjournals.com/index.php/jiti/issue/feed Journal of Information Technology and Informatics 2024-07-16T23:06:36+00:00 Open Journal Systems <p><strong> JITI </strong>is an interdisciplinary, peer-reviewed international journal publishing articles and reports dealing with theoretical as well as practical issues focusing on contributions from researchers all over the world. The journal is committed to discovering and highlighting issues in all wide-ranging fields relevant to information technology.</p> https://qabasjournals.com/index.php/jiti/article/view/303 Distributed Systems, Web Technology, Cloud Computing and IoT Utilization for Sustainable Asset Management based on Al-driven Predictive Maintenance in Enterprise Systems 2024-07-09T09:17:27+00:00 Ahmed Muhammed ahmed.ali@auas.edu.krd <p>This article presents the findings of an inquiry on the use of Internet of Things technology for the purpose of implementing artificial intelligence-driven predictive maintenance (PdM) in business systems. This inquiry is being conducted with the intention of achieving sustainable asset management strategies. This is accomplished via the use of sophisticated analytics and artificial intelligence to study the possibility of integrating the Internet of Things (IoT) in order to improve maintenance operations by predicting the requirements of the equipment and avoiding any faults that may occur. Infrared thermography, ultrasonic tests, and vibration analysis are some of the technologies that are addressed, and they are among the most essential technologies. Additionally, there is a focus on machine learning models that evaluate data acquired from Internet of Things devices in order to properly forecast failures. This is done in order to improve the accuracy of failure prediction. The move from reactive to proactive maintenance is stressed in this research, and it is shown how the confluence of artificial intelligence and the internet of things has the potential to increase the dependability of assets and the operational efficiency of organizations. Finally, the study concludes that proactive maintenance is more effective than reactive maintenance. As a result of our study, we have created a framework that allows businesses to effectively manage their assets and improve their maintenance operations by using artificial intelligence and the internet of things. Furthermore, this framework helps businesses to optimize their maintenance procedures.</p> 2024-07-09T00:00:00+00:00 Copyright (c) 2024 Journal of Information Technology and Informatics https://qabasjournals.com/index.php/jiti/article/view/301 Distributed Systems and Web-based Inspirations on Cybersecurity and Sustainability: A Review of the Intertwined Challenges and Solutions in Enterprise Systems 2024-07-02T08:27:54+00:00 Toreen Masoud toreen.dilshad@auas.edu.krd <p>This study compiles current research on the difficulties of cybersecurity and sustainability in corporate systems, focusing on important findings and techniques. This study examined the influence of cybersecurity on the ability of organisations to withstand and recover from disruptions, as well as their overall economic success, in both the service and manufacturing industries. The findings indicated that cybersecurity had a beneficial effect, however there were significant limitations in the research methods used. A approach has been shown effective in addressing the security gaps between IT and OT. A systematic methodology for implementing Cyber Threat Intelligence (CTI) was suggested, emphasising essential elements for enhancing organisational resilience. The significance of Enterprise Risk Management (ERM) and Business Continuity (BC) in strengthening cyber resilience was emphasised. This essay delved into the importance of Green Cybersecurity in promoting sustainability. The study focused on analysing the long-term viability of cybersecurity measures in businesses, highlighting the obstacles and proposing tactics to enhance their capacity to withstand threats, with a specific emphasis on small and medium-sized organisations (SMEs). The need of continuous improvement and risk management in ensuring the long-term viability of cybersecurity was emphasised. The efficacy of information sharing in enhancing cybersecurity practices among small and medium-sized enterprises (SMEs) was shown. The discussion revolved on the implementation of Sustainable Data Governance (SDG) in Nigerian organisations. An analysis was conducted on the implementation of cloud-based ERP systems and cybersecurity in commercial banks in Jordan. Deficiencies in security procedures throughout the Software Development Life Cycle (SDLC) in small and medium-sized enterprises (SMEs) were observed. This paper offers significant ideas and methods for improving cybersecurity and sustainability in different companies.</p> 2024-07-02T00:00:00+00:00 Copyright (c) 2024 Journal of Information Technology and Informatics https://qabasjournals.com/index.php/jiti/article/view/306 A Comparative Review of Sustainable Enterprise System Frameworks: Integrating Web Technology, Clouding, AI, IoT, and Security for Green Business Transformation 2024-07-16T23:06:36+00:00 Dawlat Ali dawlat.abdulkarim@auas.edu.krd <p>In the contemporary business landscape, the drive towards sustainability has become imperative, pushing enterprises to adopt frameworks that integrate advanced technologies for green business transformation. This comparative review explores various sustainable enterprise system frameworks, focusing on the integration of web technology, cloud computing, artificial intelligence (AI), the Internet of Things (IoT), and security measures. The study aims to provide a comprehensive analysis of how these technologies collectively contribute to creating eco-friendly business environments. By leveraging web technology and cloud computing, businesses can enhance their operational efficiency and reduce carbon footprints through virtualized resources and scalable solutions. AI and IoT are pivotal in optimizing resource utilization, predictive maintenance, and energy management, fostering intelligent and sustainable practices. Security, an essential aspect of any enterprise system, is scrutinized to ensure that the integration of these technologies does not compromise data integrity and privacy. The review highlights key frameworks and models, comparing their strengths, limitations, and applicability in various industries. Through case studies and real-world examples, the paper illustrates successful implementations and identifies best practices. The findings underscore the importance of a holistic approach in adopting these technologies to achieve a sustainable and resilient business model. This research contributes to the ongoing discourse on green business transformation, providing valuable insights for policymakers, industry leaders, and researchers seeking to advance sustainability in enterprise systems. The comparative review underscores the potential of integrated technological frameworks in driving sustainable growth and emphasizes the need for robust security measures to safeguard the integrity of green business initiatives.</p> 2024-07-16T00:00:00+00:00 Copyright (c) 2024 Journal of Information Technology and Informatics https://qabasjournals.com/index.php/jiti/article/view/304 A Web-based and Cloud-Computing Influences on Resource Utilization Optimization for Sustainable Enterprise Systems with AI, IoT, and Security 2024-07-11T09:40:58+00:00 Aqeel Younus aqeel.hanash@auas.edu.krd <p>The landscape of resource use in environmentally responsible organizational systems has been transformed as a consequence of the integration of web-based technologies and cloud computing, which has led to the modification of the landscape. In order to improve the efficiency of resource allocation and utilization, the objective of this research is to analyze the ways in which artificial intelligence (AI), the Internet of Things (IoT), and highly developed security measures could collaborate to achieve this goal. When it comes to sustainability, one of the most essential factors is the ability of organizations to achieve scalable and flexible resource management via the use of cloud infrastructure. Real-time data analytics and automation capabilities are provided by technologies like as artificial intelligence (AI) and the internet of things (IoT), which are designed to enhance decision-making processes and operational efficiency. Furthermore, good security standards ensure that the data is both accurate and private, which contributes to the development of trust in these digital ecosystems. The objective of this study is to examine a wide range of case studies and experimental data in order to demonstrate how the combination of various technologies results in corporate systems that are more environmentally friendly and effective. According to the findings, there is a significant possibility of achieving significant cost savings, reducing the effect on the environment, and improving overall performance. For businesses who are striving to innovate in this era of digital change, these results give valuable insights that were previously unavailable.</p> 2024-07-11T00:00:00+00:00 Copyright (c) 2024 Journal of Information Technology and Informatics https://qabasjournals.com/index.php/jiti/article/view/302 Consideration of Cloud-Web-Concepts for Standardization and Interoperability: A Comprehensive Review for Sustainable Enterprise Systems, AI, and IoT Integration 2024-07-04T10:45:15+00:00 Hakar Rasheed hakar.hasan@auas.edu.krd <p>This analysis thoroughly explores the complexities of integrating advanced technologies, such as Industry 4.0, IoT, Edge AI, and artificial intelligence, in different areas including enterprise strategy, digital transformation, manufacturing, chemical industry, and ERP systems. The main objective is to attain sustainability, efficiency, and innovation. This study examines the techniques, applications, problems, and consequences of these technologies on sustainability, decision-making processes, digital transformation, and overall company performance. This paper sheds light on the wide range of applications of these technologies in enhancing sustainability, operational efficiency, and the digital transformation in many industries, by combining results from previous research. The text extensively explores the crucial role of AI in automating and improving decision-making, the ability of IoT and Edge AI to reduce carbon emissions, and the vital significance of incorporating digital technologies into company and supply chain management to promote sustainable growth. Moreover, it tackles the challenges related to the integration of AI and IoT, including ethical quandaries, worries about data confidentiality, and the increasing need for a skilled workforce. The investigation significantly contributes to the knowledge of the intricate influence that digital technologies have on contemporary company practices and sustainability initiatives. This highlights the need for organisations to adjust to these technological breakthroughs in order to be competitive and sustainable in the quickly changing digital environment. It also provides a guide for incorporating technology into sustainability objectives.</p> 2024-07-04T00:00:00+00:00 Copyright (c) 2024 Journal of Information Technology and Informatics https://qabasjournals.com/index.php/jiti/article/view/305 A Review of Research Methodologies for Analyzing the Sustainability Benefits and Challenges of AI, IoT, and Enterprise Systems Integration 2024-07-13T10:36:34+00:00 Hevi Ismaeel hevi.kamal@auas.edu.krd <p>When it comes to achieving sustainability, the combination of artificial <br>intelligence (AI), the Internet of Things (IoT), and business systems presents a <br>number of challenges as well as significant opportunities. Within the scope of this <br>book, a number of research methodologies that have been used to investigate the <br>environmental, economic, and social ramifications of these technologies in <br>connection to their contributions to sustainable development are brought under <br>scrutiny and evaluated critically. Effectiveness and the process of making judgments <br>based on accurate information are both improved by the capabilities of artificial <br>intelligence in the areas of machine learning, natural language processing, and <br>computer vision. The Internet of Things (IoT) makes it possible for networked <br>devices and sensors to share data in real time with one another. This facilitates the <br>optimization of resource use and the reduction of environmental effect. The link with <br>enterprise systems improves operating efficiency, makes the flow of information <br>easier, and encourages the adoption of environmentally responsible business <br>practices. Even while there are many advantages, there are still challenges to be <br>conquered in terms of protecting the privacy of data, ensuring its security, and <br>ensuring that robust frameworks are in place to handle large volumes of data. For <br>the purpose of addressing these challenges and making the most of the potential of <br>artificial intelligence, internet of things, and business systems in achieving long-term <br>sustainability, the study highlights the need of interdisciplinary research and <br>collaboration.</p> 2024-07-13T00:00:00+00:00 Copyright (c) 2024 Journal of Information Technology and Informatics