scholarly journals PENINGKATAN LITERASI DATA MENUJU INDONESIA 4.0

2020 ◽  
Vol 1 (1) ◽  
pp. 37
Author(s):  
Setia Pramana

The Indonesian government has set 10 national priorities to face the Industrial Revolution 4.0 which is accompanied by an integrated roadmap known as Making Indonesia 4.0. Achieving these targets requires collaboration among the stakeholders (government institutions, associations and industry players, and academics).One of the key determinants of competitiveness in the Industry 4.0 era, is human capital including data literacy capability to analyze data generated from various technological devices becomes an information and policy, especially for the government.Politeknik Statistika STIS lecturers have held a series of activities to increase data literacy and big data technology for central and local governments, industry players, research institutions and universities. The activities were carried out in the form of a series of seminars, as well as workshops attended by decision makers of central and local governments, researchers and lecturers from various universities in Indonesia. As a result of this series of activities, the participants not only had an understanding of the importance of the data but were also able to use data to improve their evidence-based policies.Keywords: data literacy, evidence-based policy, big data, industry 4.0

2020 ◽  
pp. 503-520
Author(s):  
Micheal Omotayo Alabi

This article describes how 3D printing technology, also referred to as additive manufacturing (AM), is a process of creating a physical object from 3-dimensional digital model layers upon layers. 3D printing technologies have been identified as an emerging technology of the 21st century and are becoming popular around the world with a wide variety of potential application areas such as healthcare, automotive, aerospace, manufacturing, etc. Big Data is a large amount of imprecise data in a variety of formats which is generated from different sources with high-speed. Recently, Big Data and 3D printing technologies is a new research area and have been identified as types of technologies that will launch the fourth industrial revolution (Industry 4.0). As Big Data and 3D printing technology is wide spreading across different sectors in the era of industry 4.0, the healthcare sector is not left out of the vast development in this field; for instance, the Big Data and 3D printing technologies providing needed tools to support healthcare systems to accumulate, manage, analyse large volume of data, early disease detection, 3D printed medical implant, 3D printed customized titanium prosthetic, etc. Therefore, this article presents the recent trends in 3D printing technologies, Big Data and Industry 4.0; including the benefits and the application areas of these technologies. Emerging and near future application areas of 3D printing, and possible future research areas in 3D printing and Big Data technologies as relating to industry 4.0.


Author(s):  
Susana Pinto da Costa ◽  
Nélson Costa

The new industrial revolution will encompass massive change. Manufacturing Companies are pursuing digitalization and trying to figure out how to implement collaborative robots, all the while trying to manage data safety and security. It is a big challenge to deal with all the needed infrastructures to handle the big data digitalization provides whilst having to account for the shielding of it. Even more so when one has to succeed at it while taking care of the workers, the sustainability of their jobs, the implementation of safe practices at work, based on the contributions of the whole, through efficient vertical communication, imbued with Safety Culture and aiming the sustainability of the Company itself. This chapter proposes to address the role of standardization in managing industry 4.0, where culture, Risk Management and Human Factors are key, and how the tools provided by these norms may contribute to nimbly balance each Company's needs.


2022 ◽  
pp. 301-318
Author(s):  
Xuan Tran

As the challenge of big data impacts how we understand cultural differences, a motive-integrated model of culture is becoming an effective strategy to search for convergence by the fourth industrial revolution called Industry 4.0. This study examines the integration approach of Industry 4.0 in merging motives and cultures to efficiently produce COVID-19 vaccines. Structure equation modelling has been conducted on the data in 38 countries during the period of 2006-2021. Findings indicate that Industry 4.0 has merged achievement motive in reactive culture, power motive in multi-linear active culture, and affiliation motive in linear active culture. The three pairs of motive-cultures have enabled people to successfully produce COVID-19 vaccines 10 times faster than previous approaches for vaccines. To implement Industry 4.0, the reactive countries and multilinear active countries would enhance the achievement and power motives, but the linear active countries would decrease the affiliation motive.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wimboh Santoso ◽  
Palti Marulitua Sitorus ◽  
Sukarela Batunanggar ◽  
Farida Titik Krisanti ◽  
Grisna Anggadwita ◽  
...  

Purpose The development of information technology is highly influential to all sectors, including the financial industry. Various transformations are made in overcoming the dynamics of technological advancements, including the mapping of human resources. This study is conducted in the banking industry and companies operating using financial technology (FinTech) in Indonesia. This study aims to identify talent competencies needed in the future, based on current conditions and future needs, through mapping talent in the banking and FinTech industries. Design/methodology/approach This study provides empirical evidence about the mapping of talent management with eight basic competencies. It uses a mixed-method, explanatory sequential with survey approach in the first phase and focus group discussions (FGD) in the second phase. The questionnaire is distributed to 309 respondents who are the specific decision-makers in this industry. Meanwhile, the FGD is conducted twice at different times with academics and practitioners, human resources and talent managers. This research used analytic hierarchy process as a tool for data processing. Findings This study provides current competency positions and future needs in the banking and FinTech industries in Indonesia where it found a lot of competence segregation. It also discovered three priority competencies for dealing with Industry 4.0, which included relating and networking, adapting and responding to change and entrepreneurship and commercial thinking. Practical implications This study is valuable for decision-makers and regulators; these results can be used to find new competencies and talents to develop existing human resources. Also, these results can be used as a basis for policy-making related to the Industrial Revolution 4.0. Originality/value This study provides new insights on talent mapping in the banking and FinTech industries as a strategic approach in the digitalization era. In addition, this research also adds knowledge related to Industry 4.0 as a result of industry developments in the digitalization era.


Author(s):  
Peter Totterdill

From a critical perspective, Industry 4.0 risks being no more than the latest in the long line of technological predictions based on exaggerated claims. It risks drawing corporate decision-makers into patterns of investment that ultimately fail, because they ignore the importance of synergy between the design and implementation of technologies on the one hand, and human and organisational factors on the other. There is a need to articulate the choices and alternative narrative surrounding Industry 4.0.The technological advances represented by Industry 4.0 potentially offer real economic and also social benefits. At the same time, realising this potential, and avoiding the mistakes of the past, means recognising the importance of a new and more inclusive paradigm of innovation. The challenge is that of reconciling the ordered, rational organisation of work offered by emergent technologies with the creative, dialogical, serendipitous and even chaotic human interactions that can stimulate innovation.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zijun Mao ◽  
Qi Zou ◽  
Hong Yao ◽  
Jingyi Wu

Abstract Background As COVID-19 continues to spread globally, traditional emergency management measures are facing many practical limitations. The application of big data analysis technology provides an opportunity for local governments to conduct the COVID-19 epidemic emergency management more scientifically. The present study, based on emergency management lifecycle theory, includes a comprehensive analysis of the application framework of China’s SARS epidemic emergency management lacked the support of big data technology in 2003. In contrast, this study first proposes a more agile and efficient application framework, supported by big data technology, for the COVID-19 epidemic emergency management and then analyses the differences between the two frameworks. Methods This study takes Hainan Province, China as its case study by using a file content analysis and semistructured interviews to systematically comprehend the strategy and mechanism of Hainan’s application of big data technology in its COVID-19 epidemic emergency management. Results Hainan Province adopted big data technology during the four stages, i.e., migration, preparedness, response, and recovery, of its COVID-19 epidemic emergency management. Hainan Province developed advanced big data management mechanisms and technologies for practical epidemic emergency management, thereby verifying the feasibility and value of the big data technology application framework we propose. Conclusions This study provides empirical evidence for certain aspects of the theory, mechanism, and technology for local governments in different countries and regions to apply, in a precise, agile, and evidence-based manner, big data technology in their formulations of comprehensive COVID-19 epidemic emergency management strategies.


Author(s):  
Alexander Vestin ◽  
Kristina Säfsten ◽  
Malin Löfving

A fourth industrial revolution is prophesied, and there is a potential for the industrialized world to proactively adapt suitable practices. Despite the large interest from both industry and academia, a drawback with the vast literature on initiatives that tap into the fourth industrial revolution, Industry 4.0 and alike, is the fuzziness when it comes to terminology and content. The terms are mixed up, and sometimes used interchangeable and the constituent parts are not fully described. The purpose of this paper is to present the content of initiatives related to the fourth industrial revolution in a structured manner. This is expected to support understanding for the content of the fourth industrial revolution and thereby facilitate the transformation. The results presented in this paper is based on a traditional literature review. In total 13 relevant review papers were identified. The identified papers were analyzed, and a framework was developed including technologies and design principles. In total, eleven technologies and twelve design principles were identified for Industry 4.0. The most frequently occurring technologies were Cyber physical systems, Internet of Things, and Big data. The most frequently occurring design principles were Smart factory, Service orientation and Sustainability and resource efficiency. A categorization of the content into technologies and design principles clarify and structures the content of Industry 4.0. The developed framework can support academics in identifying, describing, and selecting Industry 4.0 scenarios for further investigations. For practitioners, the framework can give a basic understanding and some guidance in their implementation journey of Industry 4.0.


Author(s):  
Susana Pinto da Costa ◽  
Nélson Costa

The new industrial revolution will encompass massive change. Manufacturing Companies are pursuing digitalization and trying to figure out how to implement collaborative robots, all the while trying to manage data safety and security. It is a big challenge to deal with all the needed infrastructures to handle the big data digitalization provides whilst having to account for the shielding of it. Even more so when one has to succeed at it while taking care of the workers, the sustainability of their jobs, the implementation of safe practices at work, based on the contributions of the whole, through efficient vertical communication, imbued with Safety Culture and aiming the sustainability of the Company itself. This chapter proposes to address the role of standardization in managing industry 4.0, where culture, Risk Management and Human Factors are key, and how the tools provided by these norms may contribute to nimbly balance each Company's needs.


2019 ◽  
Vol 10 (4) ◽  
pp. 18-32
Author(s):  
Tom Page

Product design is a process that involves many methods and practices to be able to create “good design.” From user studies to experimentation, the designer has many tools at his disposal to understand the market and the requirements of the product they wish to produce. Big data has been a disruptor in user analysis for many organizations wishing to get the bigger picture. It has proven to have many positive implications while also being restrictive to those willing to use it. Therefore, connected open systems where all stratums are able to access similar applications have been made available. With the 4th industrial revolution underway, and the ability to utilise a plethora of sensors and electronic data provided by internet connected devices, is it in the designer's interest to adopt modern data practices? During this research, the suitability of big data practices to designers was assessed to gain an understanding of the environment that would allow designers to utilise this new platform including the practice of open data and the systems required to manage it. This article will address emerging and current technologies in the use of data within the 4th industrial revolution. Big data and open data were critically examined of their processes and downfalls compared to how the designer would use the practices.


2021 ◽  
Vol 31 (4) ◽  
Author(s):  
Ni Made Kariana Rosi ◽  
Luh Putu Mahyuni

Various appearances of applied technology, such as Artificial Intelligence (AI), Internet of Things (IoT), and Big Data are all Industrial Revolution 4.0 characteristics that can change the business model. This research aims to explore how the advancement of Industrial Revolution 4.0 technology might disrupt the accounting profession. This research applied meta-synthesis method. The results of this study illustrated that the importance of development in the accounting sector is to keep pace with technological advances in industry 4.0. This must be balanced with the development of knowledge in the field of accounting so that all types of development can be carried out as well as possible. The findings showed that the appearance of various kinds new technology had a very significant impact in the development of the accounting profession. Further research should be able to discuss the Industrial Revolution 4.0 impact in more depth and can be linked to other accounting professions, such as internal auditors. Keywords: Accounting Profession; Industrial Revolution 4.0; Technology.


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