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All Journal Knowledge Engineering and Data Science Bulletin of Social Informatics Theory and Application
Jimenez, Genett
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Computer Science & IT Engineering Social Sciences

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Social Media Instagram for Promoting Tourism In The Eastern Indonesia Kusumasari, Adita Ayu; Syafitri, Annisa Amelia; Selly, Adita Febiola; Buseri, Dimas Prastyo; Erlangga, Fabyan Raif; Jimenez, Genett
Bulletin of Social Informatics Theory and Application Vol. 6 No. 1 (2022)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v6i1.598

Abstract

Indonesia consists of many islands and cultures, so there are many tourist destinations in Indonesia. It is appropriate to introduce tourism in Indonesia by having various tourism destinations. Many methods can be used to introduce Indonesian tourist objects, including current social media that can also be used to promote tourism. This study aims to reveal the influence of social media as a tourism promotion in the eastern part. In this paper, Instagram is the social media focused on researching eastern tourism promotion. Social media Instagram has a large number of users. Currently, the number of Instagram downloads is 1 billion. In this paper, data collection on Instagram accounts that have tourism promotion content will be carried out. Data taken, such as the number of followers and the number of posts, then an account will be determined, which will be the object of research so that later it will produce an analysis of how the Instagram account promotes tourism. Indonesia complies with the elements of the 7C framework
Energy Efficiency Metrics of University Data Centers Hernandez, Leonel; Jimenez, Genett; Marchena, Piedad
Knowledge Engineering and Data Science
Publisher : citeus

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Abstract

The data centers are fundamental pieces in the network and computing infrastructure,and evidently today more than ever they are relevant. Since they support the processing, analysis, assurance of the data generated in the network and by the applications in the cloud, which every day increases its volume thanks to technologies such as Internet of Things, Virtualization, and cloud computing, among others. Precisely the management of this large volume of information makes the data centers consume a lot of energy, generating great concern to owners and administrators. Green Data Centers offer a solution to this problem, reducing the impact produced by the data centers in the environment, through the monitoring and control of these. The metrics are the tools that allow us to measure in our case the energy efficiency of the data center and evaluate if it is friendly to the environment. These metrics will be applied to the data centers of the ITSA University Institution, Barranquilla and Soledad campus, and the analysis of these will be carried out. In previous research, the most common metric (PUE) was analyzed to measure the efficiency of the data centers, to verify if the University's data center is friendly to the environment. It is planned to extend this study by carrying out an analysis of several metrics to conclude which is the most efficient and which allows defining the guidelines to update or convert the data center in a friendly environment.
Co-Authors Buseri, Dimas Prastyo Erlangga, Fabyan Raif Kusumasari, Adita Ayu Leonel Hernandez, Leonel Marchena, Piedad Selly, Adita Febiola Syafitri, Annisa Amelia