scholarly journals IMPLEMENTASI SOCIETY 5.0 DALAM KEBIJAKAN DAN STRATEGI PENDIDIKAN PADA PANDEMI COVID-19

2022 ◽  
Vol 2 (1) ◽  
pp. 34-43
Author(s):  
ADITYA ZULMI RAHMAWAN ◽  
ZAENURIYAH EFFENDI
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Learning Process ◽  
Research Method ◽  
Social Sector ◽  
Scientific Journals ◽  
Artificial Intelligent ◽  
The Social ◽  
The Impact ◽  
The Internet Of Things

The COVID-19 pandemic poses problems in various sectors. The most vulnerable sector in this situation is the social sector, especially education. Problems such as the learning process make the continuity of education a concern. This is a challenge for the community in the era of society 5.0 in the hope of overcoming the problems that arise due to the Covid-19 pandemic. The use of big data, artificial intelligence, and the internet of things is an alternative effort to help deal with the impact of the pandemic in accordance with the conditions in this disruptive era. This study aims to determine the policies and strategies of society 5.0 in the learning process as an effort to handle the impact of the pandemic. This study uses a systematic review research method of literature published by scientific journals in the period January 2010 to December 2021. The data used comes from published journals related to the topics studied and from various electronic media. The results of the study can find out strategies in the learning process in the implementation of society 5.0 in policies in the field of education as an effort to deal with the impact of the covid-19 pandemic. ABSTRAKPandemi covid-19 memberikan permasalahan di berbagai sektor. Sektor yang paling rentan dalam situasi ini adalah sektor sosial terutama pada pendidikan. Permasalahan seperti proses pembelajaran membuat keberlangsungan pendidikan menuai kekhawatiran. Hal ini menjadi sebuah tantangan bagi masyarakat di era society 5.0 dengan harapan dapat mengatasi permasalahan yang timbul akibat pandemi Covid-19. Pemanfaatan big data, artificial intelligent, dan internet of things menjadi upaya alternatif dalam membantu menangani dampak pandemi yang sesuai dengan keadaan di era disruptif ini. Penelitian ini bertujuan untuk mengetahui kebijakan dan strategi society 5.0 dalam proses pembelajaran sebagai upaya penanganan dampak pandemi. Penelitian ini menggunakan metode penelitian tinjauan sistematis terhadap literatur yang diterbitkan oleh jurnal ilmiah pada periode Januari tahun 2010 hingga Desember 2021. Sumber yang digunakan berasal dari jurnal-jurnal yang sudah dipublikasikan terkait dengan topik yang dikaji dan dari berbagai media elektronik. Hasil penelitian dapat mengetahui strategi dalam proses pembelajaran dalam implementasi society 5.0 pada kebijakan di bidang pendidikan sebagai upaya menghadapi dampak pandemi covid-19.

Interface Trends in Human Interaction, the Internet of Things, and Big Data

2018 ◽  
pp. 4210-4222
Author(s):  
William J. Gibbs
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Television News ◽  
Information Services ◽  
Human Interaction ◽  
The Internet ◽  
Media Convergence ◽  
The Impact ◽  
The Internet Of Things

In this chapter, I examine trends in today's news-orientated interfaces and the impact of digital interfaces on news consumption. Digital interfaces will be differentiated from traditional informational sources such as newspapers and television news. Additionally, I will explore several major characteristics or trends germane to today's news interfaces and their implications for how people consume news and, more generally, for how they transform information services: a) rapid innovation, b) interactivity, c) social, d) standardization, e) scale, f) media convergence and, g) the Internet of Things and Big Data.

Computational Business Intelligence, Big Data, and Their Role in Business Decisions in the Age of the Internet of Things

2017 ◽  
pp. 249-268 ◽  
Author(s):  
Javier Vidal-García ◽  
Marta Vidal ◽  
Rafael Hernandez Barros
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Business Intelligence ◽  
The Internet ◽  
Self Assessment ◽  
Business Decisions ◽  
Business Operations ◽  
Large Databases ◽  
The Social ◽  
The Internet Of Things

The evolution of the big data and new techniques related to the processing and analysis of large databases is revolutionizing the management of companies in the age of the Internet of Things (IoT). In this chapter, we examine the possibilities of big data to improve the services offered by companies and the customer experience and increase the efficiency of these companies. Companies must accept the challenge of self-assessment and measure the barriers that threaten to prevent them from reaching to get the maximum potential derived from big data and analytics. The combination of big data and computational business intelligence will change completely processes, logistics and distribution strategies, the choice of marketing channels and any aspect of the production and marketing of products and services. A case of GE is presented to showcase the use of the IoT and big data. All companies, regardless of size or sector, will improve their business operations due to big data generated from the social media and IoT applications and its use in computational business intelligence.

scholarly journals Application of the Tax Policy in the Free-Trade Zone Based on Big Data and Internet of Things Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Hui Deng ◽  
Dongwen Xie
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Free Trade ◽  
Research Method ◽  
Quantitative Research ◽  
Free Trade Zone ◽  
The Internet ◽  
Tax Burden ◽  
Big Data Technologies ◽  
The Internet Of Things

With the development of the Internet of Things and big data technologies and the rise of smart cities, more and more Internet of Things and big data technologies are applied in the economic field, and the construction of the Shanghai Pilot Free-Trade Zone will be important for my country’s follow-up construction of free-trade zones and the whole country. Its economic development strategy has a significant impact, and it has also become a hot spot for domestic and foreign research. Among them, the use of big data and the Internet of Things application of the free-trade zone tax policy system for research cannot be ignored. This article puts forward the literature in the process of writing research method, quantitative research method, and case research method. We used the literature research method to study the theory of big data and tax informatization, used the quantitative research method to conduct data statistics on the tax system of the free-trade zone to understand the information construction of the tax authority, and used the case study method to realize the “data quality monitoring platform.” Taxation informatization management in turn brings enlightenment and suggestions for big data to promote the taxation informatization construction of the free-trade zone. A total of 2,854 samples of tax data were extracted from the system of the State Taxation Bureau of a certain district using SQL statements, when the tax burden rate threshold value selected by the nodes of the tax burden discrimination decision tree for all industries is 2.23%, through experiments, various tax collection, and management. The work has achieved ideal results, providing a more scientific and persuasive argument for the proposal of countermeasure research.

Computational Business Intelligence, Big Data, and Their Role in Business Decisions in the Age of the Internet of Things

Web Services ◽  
2019 ◽  
pp. 1048-1067
Author(s):  
Javier Vidal-García ◽  
Marta Vidal ◽  
Rafael Hernández Barros
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Business Intelligence ◽  
The Internet ◽  
Self Assessment ◽  
Business Decisions ◽  
Business Operations ◽  
Large Databases ◽  
The Social ◽  
The Internet Of Things

The evolution of the big data and new techniques related to the processing and analysis of large databases is revolutionizing the management of companies in the age of the Internet of Things (IoT). In this chapter, we examine the possibilities of big data to improve the services offered by companies and the customer experience and increase the efficiency of these companies. Companies must accept the challenge of self-assessment and measure the barriers that threaten to prevent them from reaching to get the maximum potential derived from big data and analytics. The combination of big data and computational business intelligence will change completely processes, logistics and distribution strategies, the choice of marketing channels and any aspect of the production and marketing of products and services. A case of GE is presented to showcase the use of the IoT and big data. All companies, regardless of size or sector, will improve their business operations due to big data generated from the social media and IoT applications and its use in computational business intelligence.

scholarly journals Introduction to Urban Big Data Infrastructure

2021 ◽  
pp. 543-545
Author(s):  
Michael F. Goodchild
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Social Issues ◽  
Geospatial Data ◽  
The Internet ◽  
Data Infrastructure ◽  
Spatial Search ◽  
3D Data ◽  
The Social ◽  
The Internet Of Things

AbstractThis chapter provides a brief introduction to Part IV of the book and its focus on urban big data infrastructure. Eight chapters (Chaps. 31 to 38) explore the various dimensions of the topic, ranging from massive archives of 3D data and the Internet of Things to spatial search and the social issues of privacy that are raised by big geospatial data.

Interface Trends in Human Interaction, the Internet of Things, and Big Data

2019 ◽  
pp. 536-550
Author(s):  
William J. Gibbs
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Television News ◽  
Information Services ◽  
Human Interaction ◽  
The Internet ◽  
Media Convergence ◽  
News Consumption ◽  
The Impact ◽  
The Internet Of Things

In this chapter, the author examines trends in today's news-orientated interfaces and the impact of digital interfaces on news consumption. Digital interfaces will be differentiated from traditional informational sources such as newspapers and television news. Additionally, the author explores several major characteristics or trends germane to today's news interfaces and their implications for how people consume news and, more generally, for how they transform information services: 1) rapid innovation, 2) interactivity, 3) social, 4) standardization, 5) scale, 6) media convergence and, 7) the internet of things and big data.

scholarly journals Financial Big Data Based on Internet of Things and Wireless Network Communication

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Lingqi Xue
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Wireless Communication ◽  
Wireless Network ◽  
Social Utility ◽  
Network Communication ◽  
The Internet ◽  
The Social ◽  
Internet Of Things Technology ◽  
The Internet Of Things

With the advent of the era of big data, Internet of things technology and wireless communication technology have been in a state of rapid development. Opportunities and challenges in all walks of life are being subverted. Financial management, as the foundation of corporate governance, is important for improving economic efficiency and achieving sustainable business development which plays an important role. In order to realize the management and classification of financial big data, better identify the financial data of different enterprises, strengthen the safe storage of financial information, and provide early warning for the security issues involved, this article is based on the Internet of things and wireless communication networks. In the method part, this article introduces the framework of the Internet of things, Bluetooth, and infrared data transmission in wireless network communication and the principles of financial big data. The algorithm introduces a single-user MIMO system, free space propagation, and spectrum and energy efficiency. The analysis part analyzes the spectrum efficiency of different algorithms, social utility, average number of retransmissions, comprehensive scores of competitiveness in various fields of the Internet of things, and the significance of financial indicators. By comparing the data, it can be seen that the algorithm in this paper is superior to the two algorithms of IAN-CoMP and IA-CoMP. When the number of users is 100, the social utility of the algorithm in this paper is 4.45, while IAN-CoMP is 3.43 and IA-CoMP is 3.67. When the number of users increases to 700, the social utility of the algorithm in this paper is 28.34. The other two algorithms are, respectively, 24.45 and 25.99, and we know that the social utility of the algorithm in this paper is the best. Through comprehensive analysis, it is concluded that the financial big data model based on the Internet of things and wireless network communication in this paper can better realize data management and collection, so as to meet the needs of information developers.

THE USE OF ICT IN ISLAMIC EDUCATION (PAI) LEARNING AT SCHOOL: A Case Study on Integrated Islamic High School (SMA-IT) Ummul Quro Bogor

2020 ◽  
Author(s):  
Farida Hanun
Keyword(s):  
High School ◽  
Learning Process ◽  
Research Method ◽  
Qualitative Approach ◽  
Learning Systems ◽  
Government Support ◽  
Islamic Education ◽  
Inhibiting Factors ◽  
The Impact

This study aims to obtain a description related to the learning of PAI by using ICT and how the impact of the use of ICT on PAI learning systems in the classroom. The research method uses a qualitative approach in the integrated Islamic high school Ummul Quro Bogor, West Java. The results showed that a) there were four stages of using ICT in the learning process, namely; emerging, applying, integrating dan transforming. PAI teachers are already at the integrating stage. In other words, ICT has been integrated into the PAI learning curriculum. b) supporting factors for the use of ICT are the existence of ICT support facilities, the availability of qualified educators, the commitment of the school to implement ICT in every PAI learning. c) Inhibiting factors in the use of ICT are aspects of financing ICT facilities require a large budget. Some elderly teachers have difficulty using ICT in the learning process. Besides, the internet network is unstable. d) The impact of the use of ICT is very significant on PAI learning process. e) the existence of ICT devices not only as a support but already as an important component in the education system. The research led to the recommendation of the need for government support in the form of concern for ICT in terms of policies, facilities, workforce, budget, and organizing training in the use of ICT for PAI teachers to improve their professionalism. Therefore, further research is suggested regarding the effectiveness of the use of ICT in the learning process of PAI.

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