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All Journal Journal Informatic, Education and Management (JIEM)
Nurrisma
STMIK Indonesia Banda Aceh
Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Other

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Big Data Analytics For Decision Support In Healthcare Information Systems Opportunities And Challenges Nurrizqa; Nurrisma
Journal Informatic, Education and Management (JIEM) Vol 6 No 1 (2024): FEBRUARY
Publisher : STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61992/jiem.v6i1.58

Abstract

This research discusses the use of Big Data analytics to support decision making in Health Information Systems (GIS): associated opportunities and challenges. The aim of this research is to identify the opportunities offered by Big Data analytics in the context of GIS as well as identify the challenges that need to be overcome to effectively implement Big Data analytics in GIS. The research method used in this study involved a literature review of relevant scientific publications on Big Data analytics in CIS. The information collected from this literature review is then analyzed systematically to identify existing opportunities and challenges. The research results show that Big Data analytics has great potential to improve decision making in CIS. Opportunities identified include improving understanding of disease patterns, epidemic forecasting, developing predictive models for diagnosis and treatment, and improving real-time patient monitoring. However, this research also revealed several challenges that need to be overcome, including data privacy and security issues, complex data integration, and limited existing resources. Based on the results of this research, it is concluded that Big Data analytics has great potential to support decision making in CIS. However, successful implementation requires effective addressing of the associated challenges. In facing these challenges, collaboration between health stakeholders and Big Data analytics experts is essential.
Information System Security Analysis in the Internet of Things (IoT) Era Nurrisma
Journal Informatic, Education and Management (JIEM) Vol 5 No 1 (2023): FEBRUARY
Publisher : STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61992/jiem.v5i1.71

Abstract

The presence of the Internet of Things (IoT) has provided a new foundation in the development of information systems, but has also raised new challenges related to information security. This research aims to analyze the level of information system security in the context of the IoT era. The research methods used include an in-depth literature survey and critical analysis of security frameworks relevant to IoT. The research results show that while IoT offers great potential to increase efficiency and convenience, it also opens up new avenues for complex and serious security attacks. Security threats related to IoT include network attacks, data theft, and unauthorized access. To overcome this challenge, a holistic and layered approach is needed in securing information systems connected via IoT. The importance of implementing strong security protocols, data encryption, and continuous monitoring of IoT networks cannot be overstated. In conclusion, the success of widespread IoT implementation will be largely determined by efforts to strengthen the security of the information systems involved.
Co-Authors Nurrizqa