scholarly journals PERANCANGAN JARINGAN HOTSPOT UNTUK PENINGKATAN LAYANAN TEKNOLOGI INFORMASI

2019 ◽  
Vol 13 (2) ◽  
pp. 72-79
Author(s):  
Sucipto Sucipto ◽  
Teguh Andriyanto ◽  
Muhammad Najibulloh Muzaki ◽  
Erna Daniati ◽  
Rini Indriati ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Network Management ◽  
Disruptive Innovation ◽  
Public Network ◽  
The Public ◽  
Public Networks ◽  
Automation Technology ◽  
Application Access

The role of network communication is vital in this era which is the industrial era 4.0. In this era, the emphasis on digital economic patterns, artificial intelligence, big data, robotics, and so on or known as the phenomenon of disruptive innovation. Technology tools that need to be developed do not directly want sophisticated automation technology. Still, network infrastructure that is available in an agency or region that wants to reach the industrial era must be considered. This research aims at designing the network is to make the topology of private networks and public networks. It is solving private networks to optimise SIMRS application access speed. It also improves the management of public networks in the form of hotspot management. The result that can be felt among the private networks is not that the SIMRS application network will not be interrupted by the public hotspot network. Besides, public network management will be more evenly distributed with hotspot management.

scholarly journals Out of the loop? On the radical and the routine in urban big data

Urban Studies ◽  
2021 ◽  
pp. 004209802110140
Author(s):  
Sarah Barns
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Computational Models ◽  
Data Driven ◽  
Urban Systems ◽  
Out Of The Loop ◽  
Urban Futures ◽  
Urban Behaviour ◽  
The City

This commentary interrogates what it means for routine urban behaviours to now be replicating themselves computationally. The emergence of autonomous or artificial intelligence points to the powerful role of big data in the city, as increasingly powerful computational models are now capable of replicating and reproducing existing spatial patterns and activities. I discuss these emergent urban systems of learned or trained intelligence as being at once radical and routine. Just as the material and behavioural conditions that give rise to urban big data demand attention, so do the generative design principles of data-driven models of urban behaviour, as they are increasingly put to use in the production of replicable, autonomous urban futures.

scholarly journals Big Data and Journalism: How American Journalism is Adopting the Use of Big Data

Novum Jus ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 69-89
Author(s):  
Julián Rodríguez ◽  
Andrew M. Clark
Keyword(s):  
New York ◽  
Big Data ◽  
New York Times ◽  
The United States ◽  
Freedom Of Information ◽  
The Public ◽  
Digital Format ◽  
American Journalism ◽  
Depth Interviews

This research uses in-depth interviews with three data journalists from the Houston Chronicle and the New York Times in the United States to describe the role of data journalists, and to illustrate how and why they use big data in their stories. Data journalists possess a unique set of skills including being able to find data, gather data, and use that data to tell a compelling story in a written and visually coherent way. Results show that as newspapers move to a digital format the role of a data journalist is becoming more essential as is the importance of laws such as the Freedom of Information Act to enable journalists to request and use data to continue to inform the public and hold those in power accountable. 

Big Data, Artificial Intelligence, and the Internet of Things in Cross-Border E-Commerce

2021 ◽  
pp. 257-272
Author(s):  
Aboobucker Ilmudeen
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Internet Of Things ◽  
Economic Globalization ◽  
The Internet ◽  
Technological Revolution ◽  
Cross Border ◽  
Wide Range ◽  
The Internet Of Things

Today, the terms big data, artificial intelligence, and internet of things (IoT) are many-fold as these are linked with various applications, technologies, eco-systems, and services in the business domain. The recent industrial and technological revolution have become popular ever before, and the cross-border e-commerce activities are emerging very rapidly. As a result, it supports to the growth of economic globalization that has strategic importance for the advancement of e-commerce activities across the globe. In the business industry, the wide range applications of technologies like big data, artificial intelligence, and internet of things in cross-border e-commerce have grown exponential. This chapter systematically reviews the role of big data, artificial intelligence, and IoT in cross-border e-commerce and proposes a conceptually-designed smart-integrated cross-border e-commerce platform.

Big Data Analytics and the Accessibility of Public Inquiries

2020 ◽  
pp. 217-230
Author(s):  
Philip Garnett ◽  
Sarah M. Hughes
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
The Public ◽  
The Us ◽  
The Uk

In this chapter, Garnett and Hughes focus on the role of big data in accessing information from public inquiries. Looking at the Chelsea Manning court martial in the US and the Leveson Inquiry in the UK, they argue that the manner in which information pertaining to inquiries is made public is, at best, unsatisfactory. They propose a variety of means to make this information more accessible and hence more transparent to the public through employing big data techniques.

Smart Technology for Smart Response During Pandemic Times

2022 ◽  
pp. 261-278
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Big Data ◽  
Smart City ◽  
Critical Role ◽  
Communication Strategy ◽  
Smart Technology ◽  
Information And Communication ◽  
Remote Learning

The formal response to COVID-19 through ICT is presented with a focus on testing COVID-19, ICTs and tracking COVID-19, ICTs and COVID-19 treatment, and policies and strategies. The chapter highlights the critical role of ICTs and e-government for technologies to fight coronavirus. It covers delivery of remote learning, ICT trends, artificial intelligence (AI), and big data in fighting the pandemic, in addition to social media application for awareness of citizens such as emergencies, protection, and pandemic news. The notion of developing an information and communication strategy for redesigning smart city transformation in a pandemic is highlighted.

Investigating the Role of Big Data in Transportation Safety

2020 ◽  
Vol 2674 (6) ◽  
pp. 244-252
Author(s):  
Subasish Das ◽  
Greg P. Griffin
Keyword(s):  
Big Data ◽  
Quality Analysis ◽  
Transportation Safety ◽  
Structured Interviews ◽  
The Public ◽  
Emerging Trends ◽  
Key Terms ◽  
Quantified Analysis ◽  
Population Representation

Big data may offer solutions for many challenges for transportation safety, providing more data faster, with higher spatial and temporal resolution. However, researchers and practitioners identify biases in big data that need to be explored and examined before performing data-driven decision-making. Leveraging semi-structured interviews of big data experts, this study includes a quantified analysis of topic frequency and an evaluation of the reliability of concepts through two independently trained coders. To identify the trends in the unstructured textual contents, the research team developed a text mining pipeline to identify trends, patterns, and biases. The study identifies key terms experts use when describing the role of big data in transportation safety, how the terms relate to the big data experts’ language through network plots, and clustering shows a need to focus on sources, quality, analysis, and implementation of big data. Results show value in maintaining the centrality of transportation experts and the public to determine the proper goals and metrics to evaluate transportation safety. Practitioners and researchers can develop new methods to improve population representation with big data, in addition to addressing difficult transportation safety problems. Working ahead of emerging trends and technologies of big data could support further advancements in transportation safety.

scholarly journals Public Management Innovation in the Age of Big Data

2019 ◽  
Vol 2 (4) ◽  
Author(s):  
Yichu Wang
Keyword(s):  
Big Data ◽  
Public Management ◽  
Great Influence ◽  
Management Innovation ◽  
Daily Lives ◽  
The Public ◽  
Internet Age ◽  
The People ◽  
Big Data Technology

In the Internet age, computer technology and data analysis technology have been applied to the daily lives and work of the people. Big data technology has brought great influence to public management, providing efficient and convenient public services and improving the ability to cope with public opinion crises [1]. However, in the actual public management process, there are widespread problems such as single practice and poor data openness. Based on this, the article expounds the relevant content of big data, introduces the role of big data in public management, and studies the public management innovation in the age of big data.

scholarly journals WHO'S CHOOSING THE NEWS; ARTIFICIAL INTELLIGENCE AND THEIR IMPLICATIONS FOR PUBLIC MEDIA DISCOURSE

2020 ◽  
Author(s):  
Sina Summers
Keyword(s):  
Artificial Intelligence ◽  
Public Discourse ◽  
Public Life ◽  
Media Discourse ◽  
The Public ◽  
Public Media ◽  
Level Of Understanding ◽  
Traditional Roles

This thesis inquiry investigates how algorithms operate generally to affect the dissemination of news information to audiences. This research aimed to find what the implications of AI used in these ways are for traditional roles played by media news in public life – such as informing the public in the public’s interests and enabling informed public discourse. This research asks also to what extent the use and effect of AI algorithms are transparent to audiences and how this level of understanding by audiences (or lack of understanding) affects the informing role of media.

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