A Bibliometric Analysis of Health Cloud Scientific\u27s Productions

Introduction: Cloud computing is an innovative paradigm meeting the user\u27s demand for accessing a shared source comprising adjustable computational sources, such as servers and applied programs. An increase in the costs of information technology, emerging problems with updating software and hardware, and expanded storage volume, make it possible to utilize cloud-based health information cases. Organizations have focused on cloud platform-based services as a new opportunity to develop the software industry for healthcare. The aim of the research is to conduct a bibliometric study of the scientific productions on health cloud . Methodology: The present study, applied in nature, was conducted using a bibliometric and scientometric method. It was conducted in 2018 using PubMed and key portmanteaus over the period 2009-2018. Subjected to the application of input and output standards, 491 research papers were selected for analysis. Findings: The findings revealed that the production of health cloud-focused papers over a decade, excluding those in 2017, had an upward trend. The US, India, and China were the most productive in this respect. Having presented 5 papers on cloud computing, Costa, Lee, Malamateniou, Stoicu-Tivadar, Vassilacopoulos, writers, were most productive. The greatest co-occurrence was that of the words Internet, electronic health records, computer security, information storage and retrieval, algorithms, confidentiality, female, male, delivery of health care, computer communication networks, medical informatics, mobile applications, data mining, and health information exchang. Conclusion: The results of the present study indicate the leading status of the USA in health cloud publications. In view of the recognition received for using cloud computing, the trend of the papers in the base was upward in nature. On analysis of the co-occurrence of words, the largest cluster was that of cloud computing with 6 items focused on: The Internet of Things (IoT), Electronic health record, healthcare, and e-health in one cluster, indicating the continuity of the issues

PENGARUH PEMBELAJARAN MODEL ADVANCE ORGANIZER TERHADAP HASIL BELAJAR BIOLOGI SISWA PADA KONSEP PROTISTA

This research purposed  to know the influence of using advance organizer model to students’ biology achievement in protists concept. This research was used quasi experiment method with pretest-posttest control group design. The data analysis was used t-test, from the result of calculating mean differentiation of posttest both groups, obtained the value of t-count was equal to 3,087, while t-table at the level of significant 5% with degree of freedom (df) = 78 that was equal to 1,67. So, it can be said that t-count > t-table that means the alternative hypothesis (Ha) was accepted and the zero hypothesis (H0) was refused. It showed that there was influence of using advance organizer model to students’ biology achievement in protists concept

A Bibliometric Analysis of Health Cloud Scientific\u27s Productions

Introduction: Cloud computing is an innovative paradigm meeting the user\u27s demand for accessing a shared source comprising adjustable computational sources, such as servers and applied programs. An increase in the costs of information technology, emerging problems with updating software and hardware, and expanded storage volume, make it possible to utilize cloud-based health information cases. Organizations have focused on cloud platform-based services as a new opportunity to develop the software industry for healthcare. The aim of the research is to conduct a bibliometric study of the scientific productions on health cloud . Methodology: The present study, applied in nature, was conducted using a bibliometric and scientometric method. It was conducted in 2018 using PubMed and key portmanteaus over the period 2009-2018. Subjected to the application of input and output standards, 491 research papers were selected for analysis. Findings: The findings revealed that the production of health cloud-focused papers over a decade, excluding those in 2017, had an upward trend. The US, India, and China were the most productive in this respect. Having presented 5 papers on cloud computing, Costa, Lee, Malamateniou, Stoicu-Tivadar, Vassilacopoulos, writers, were most productive. The greatest co-occurrence was that of the words Internet, electronic health records, computer security, information storage and retrieval, algorithms, confidentiality, female, male, delivery of health care, computer communication networks, medical informatics, mobile applications, data mining, and health information exchang. Conclusion: The results of the present study indicate the leading status of the USA in health cloud publications. In view of the recognition received for using cloud computing, the trend of the papers in the base was upward in nature. On analysis of the co-occurrence of words, the largest cluster was that of cloud computing with 6 items focused on: The Internet of Things (IoT), Electronic health record, healthcare, and e-health in one cluster, indicating the continuity of the issues

PENGARUH PEMBELAJARAN MODEL ADVANCE ORGANIZER TERHADAP HASIL BELAJAR BIOLOGI SISWA PADA KONSEP PROTISTA

This research purposed  to know the influence of using advance organizer model to students’ biology achievement in protists concept. This research was used quasi experiment method with pretest-posttest control group design. The data analysis was used t-test, from the result of calculating mean differentiation of posttest both groups, obtained the value of t-count was equal to 3,087, while t-table at the level of significant 5% with degree of freedom (df) = 78 that was equal to 1,67. So, it can be said that t-count &gt; t-table that means the alternative hypothesis (Ha) was accepted and the zero hypothesis (H0) was refused. It showed that there was influence of using advance organizer model to students’ biology achievement in protists concept.</p