Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Journal Informatic, Education and Management (JIEM)
Nurrizqa
STMIK Indonesia Banda Aceh
Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
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.
Mobile Application Development for Optimizing Management Information Systems Nurrizqa
Journal Informatic, Education and Management (JIEM) Vol 5 No 2 (2023): AUGUST
Publisher : STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61992/jiem.v5i2.74

Abstract

The development of Mobile Applications for Optimization of Management Information Systems is an important innovation in the context of enhancing efficiency and effectiveness of organizational management. The objective of this research is to design and implement a mobile application that can optimize the information management process within a management system. Research methods used include user needs surveys, system requirements analysis, application design, prototype development, as well as testing and evaluation by users. The research results indicate that the developed mobile application is able to improve information accessibility, accelerate decision-making processes, and enhance work efficiency. Based on the data analysis conducted, the conclusion of this research is that the implementation of mobile applications in management information systems can significantly enhance organizational performance. This research provides a significant contribution in the context of user-oriented information technology development and improving organizational operational efficiency.
Co-Authors Nurrisma