Journal of Information Systems and Informatics (Journal-ISI)
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Data Analytics Techniques for Addressing Cloud Computing Resources Allocation Challenges: A Bibliometric Analysis Approach
Get PDFThe increase in the use of digital technology led to an increase in online activities. In this regard, many organizations adopted cloud computing systems to manage this online traffic. It is plan of every cloud computing resource provider to manage their system effectively and efficiently. This paper uses bibliometric analysis technique to look at the prevalence of utilization of data analytics techniques in addressing cloud computing resource allocation challenges. In this regard, the following research databases the Association for Computing Machinery, the Institute of Electrical and Electronics Engineering, Web of Science and Scopus databases, were consulted. The research articles published before the beginning of 2017 to 2023 were considered as part of the analysis. The results showed that the prevalent data analytics techniques used to address the cloud computing resources allocation challenge are Support Vector Machine, Spatio-temporal and edge-cloud collaborative scheme. Failure to effectively and efficiently provide cloud computing management resource allocation will lead to system bottlenecks especially during peak periods. In this regard, such a failure could lead to dissatisfied clients
SIOLGA Information Technology Risk Management Analysis Using ISO 31000
Get PDFSalatiga City Disperinnaker, a government agency focusing on industry and labor, has developed the Salatiga Job Vacancy Information System (SIOLGA) to streamline its operations. As the SIOLGA application has recently completed its development phase, there arises a necessity for robust risk management to anticipate potential threats and vulnerabilities. Employing ISO 31000 standards, the research aims to mitigate risks effectively. The ISO 31000 framework encompasses risk identification, analysis, evaluation, and treatment phases. Through this process, the study identified 18 potential risks within the SIOLGA application, categorized into three levels: high, medium, and low. Specifically, there are 5 high-level risks, 10 medium-level risks, and 3 low-level risks. By implementing rigorous risk management strategies, the expectation is for the SIOLGA application to operate more efficiently and optimally, fulfilling its intended objectives
Development of A Tourist Destination Object Search Application as A Madura Tourism Information Media Using ADDIE Model
Get PDFThe rapid development of tourism has caused many tourists to be interested in enjoying it. Madura Island is a small archipelago and is part of East Java. Madura consists of 4 districts, namely Bangkalan district, Sampang district, Pamekasan district, and Sumenep district. With the number of districts owned, it creates a diversity of tourism. The development of the tourism sector must also be accompanied by the development of information technology. Utilization of technology can improve accommodation in supporting tourist destination services by designing an android-based application for searching for objects supporting Madura tourism destinations. The purpose of this research is to create an object search application that supports tourist destinations and serves as a medium for information about tourist locations on the island of Madura, making it more straightforward for tourists/users to enjoy their vacation. The stages of research carried out using ADDIE Model include knowing the system requirements, analysis and design, Development, implementation, and Evaluation. The results of the study are in the form of applications by detecting supporting objects including places of interest, gas stations, lodging, religion, culinary and health. It is expected that users when visiting Madura tourism will be easy, fun, and can enjoy their holidays
Air Quality Prediction Using the Support Vector Machine Algorithm
Get PDFAir quality is an important factor in maintaining the health and well-being of humans and the environment. To anticipate and manage air pollution, air quality prediction has become an important research topic. In this research, researchers propose using the Support Vector Machine (SVM) algorithm to predict air quality. SVM has proven to be an effective method in classification and regression, especially in the context of complex and non-linear data such as air quality data. Researchers utilized historical air quality datasets that include various parameters such as particulates, ozone, nitrogen dioxide and carbon monoxide. Experiments were conducted to compare the performance of SVM with other prediction methods, and the results show that SVM provides accurate and reliable predictions in modeling air quality
A Multi-Theory Framework for Assessing IoT Adoption in Botswana SMEs
Get PDFThe rapid surge of technological innovation is reshaping industries, and Small and Medium Enterprises (SMEs) are key players in this digital transformation. However, despite their prominence, SMEs often struggle to adopt cutting-edge technologies like the Internet of Things (IoT). While IoT offers the potential to revolutionise SME operations, integrating these interconnected devices presents significant hurdles. Thus, to bridge this research gap, a robust conceptual framework is necessary to understand the factors influencing IoT adoption in SMEs. This study addresses a critical gap by proposing a novel multi-theoretical framework, integrating established technology adoption theories and models like, Diffusion of Innovation (DOI), Technology-Organisation-Environment (TOE) framework, Technology Acceptance Model (TAM), and Unified Theory of Acceptance and Use of Technology (UTAUT). This framework will assist researchers, policymakers, and practitioners in crafting strategies to improve SMEs IoT adoption in Botswana and other developing economies. Future studies will validate this framework through survey research
Behavioral Intentions of Generation Z and Millennial Users of Telemedicine: A UTAUT 2 Analysis from the Halodoc User Perspective
Get PDFThe rapid development of telemedicine has significantly transformed health services, leveraging technological sophistication to enhance medical consultations and treatments. Halodoc, a leading telemedicine application, has positively impacted the health sector. However, user reviews on the Google Play Store indicate issues that may affect user satisfaction and behavioral intention. Despite Millennials and Generation Z being major digital platform users, Generation X reports the highest satisfaction with telemedicine services. This study aims to validate the factors influencing and interrelating user satisfaction and behavioral intention in using the Halodoc application. Employing a quantitative approach with PLS-SEM data analysis, the study integrates the UTAUT 2 model with the Delone & McLean model. The results reveal that out of eight hypotheses, seven are supported, with Effort Expectancy on User Satisfaction being the only rejected hypothesis. The findings highlight that User Satisfaction significantly influences Behavioral Intention, underscoring the importance of enhancing user experience to improve telemedicine adoption
IT Proficiency in A Media and Publishing Company Using the COBIT 2019 Framework
Get PDFInformation technology plays a pivotal role in enhancing company performance by streamlining data management processes. The company, currently transitioning from the SAP ERP system to the Odoo ERP system, faces significant challenges, particularly regarding the readiness of human resources and data migration. This study aims to elevate the IT capability level to identify domain priorities and establish procedures that will bolster IT utilization to meet corporate objectives. Employing the COBIT 2019 framework, this research evaluates the company's IT governance through capability level measurements conducted via interviews. The assessment identified three priority domains: APO12 (Managed Risk) and APO13 (Managed Security), both at level 2 with a 65% rating, and BAI10 (Managed Configuration), also at level 2 but with a slightly higher score of 65.4%. These domains fall short of their targets, with APO12 and APO13 aiming for level 4, and BAI10 targeting level 3, as per company goals. The findings indicate that these domains require significant improvement to meet the desired capability levels. Recommendations include focusing on risk management, enhancing HR training, improving configuration and security of information systems, and customizing ERP modules to address specific company issues. By implementing the suggested recommendations, the company can significantly enhance its IT capabilities, thereby achieving its corporate objectives more efficiently. These improvements will facilitate a smoother transition to the Odoo ERP system, ensuring better risk management, security, and configuration management
Optimization of Network Performance in Complex Environments with Software Defined Networks
Get PDFSoftware-defined networks (SDN) have emerged as a promising approach to address the limitations of conventional networks. Its architecture can be implemented using either a single controller or multiple controllers. Although a single controller is inadequate for managing networks, deploying multiple controllers introduces the challenge of controller placement (CPP) in a network environment. To address these issues, this study presents a Software Defined Networks-Fault-Tolerant Method (SDN-FTM) where, in the event of a network failure, the SDN controller automatically reroutes traffic through an alternate, pre-configured network path, thereby maintaining uninterrupted service. The proposed SDN-FTM was tested and evaluated in real-time using Mininet simulation tools on a real-life small scale network data from tracking unit department in Walter Sisulu University (WSU), with a focus on performance measures such as latency and throughput. From the result obtained, the proposed method produced throughput and latency on Ryu with 2.15m/s and 18408m/s respectively. Furthermore, the findings indicate that Ryu controllers generally outperform OpenFlow controllers in terms of throughput, while OpenFlow controllers exhibit lower latency. The proposed method demonstrates significant improvements in network management by providing a robust solution for maintaining high network availability and performance in the presence of fault
Service Quality and Security in Ugandan E-Banking: Implications for Customer Satisfaction: A Systematic Literature Review
Get PDFThe rise of e-banking has significantly transformed the banking industry, introducing new dimensions of quality of service and customer satisfaction. However, existing studies have primarily focused on these aspects from a global perspective, with limited emphasis on the Ugandan context. This research aims to synthesize existing knowledge and identify key factors for developing a framework to enhance e-banking quality of service, security, and customer satisfaction in Uganda through a systematic literature review (SLR), guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. The review follows a structured approach involving the identification, screening, eligibility, and inclusion stages as per PRISMA. A comprehensive search strategy across databases resulted in the inclusion of 21 studies out of an initial 103 articles. The findings reveal vital dimensions such as reliability, responsiveness, system availability, and privacy, among others, for enhancing e-banking quality of service. This study provides valuable insights for both academic and practical applications, emphasizing the need for context-specific research and laying the groundwork for future studies in the Ugandan e-banking sector
Evaluating the Usability of a Book Stock and Sales Recording Android App: System Usability Scale (SUS), Heuristic Evaluation, and Maze Tool Insights
Get PDFThe implementation of digitalization in organizations is needed to apply technology and provide more value to customers. However, digitization still needs to be fully maximized in manually recording book stocks to record book stocks. Printed books are recorded as incoming books, sold books are sold as outgoing books and incoming and outgoing data are matched. Publishers still use Google Sheets as the primary tool for recording available book stock. However, human error, such as writing or data entry, often leads to inaccurate book stock information. Therefore, Peneleh Publishing needed an application prototype design using usability testing to identify usability issues in UI/UX development. During usability testing, the Maze tool collects user interaction data. This study used heuristic evaluation to find and solve usability problems in book sales and stock recording applications. According to the research results, the SUS score 85.2 falls into the Very Good and Acceptable category. In addition, as shown by the Tool Maze analysis, users can manage scenarios well. Experts used heuristic evaluation to suggest display improvements, pop-up notifications when books are added or subtracted, and information about successful or unsuccessful actions