scholarly journals KURIKULUM PENDIDIKAN VOKASI PADA ERA REVOLUSI INDUSTRI 4.0

2019 ◽  
Vol 20 (1) ◽  
pp. 82
Author(s):  
Unung Vera Wardina ◽  
Nizwardi Jalinus ◽  
Lise Asnur

Vocational education purpose is to produce ready-to-work graduates who have the relevant skills for current job employment. Entering the industrial revolution era 4.0 there were massive changes in various industries and workers' ability needs. This article intends to examine the implications of the industrial revolution 4.0 era for vocational education curriculum. Based on the study of various sources and business practices, it is necessary to develop vocational education curriculum that are in accordance with the era of industrial revolution 4.0 and relevant to answering the needs of new skills, such as the ability to create and manage coding, big data, and artificial intelligence. The vocational curriculum needs to apply blended learning, which integrates face-to-face and online learning, so as to more effectively build graduates' abilities and skills. The curriculum also needs to contain mastery of 4.0 competencies such as data literacy, technology literacy and human literacy. In order for the vocational education curriculum to have a broad impact, the government, educational institutions, industries must work together to revitalize the approach and content of the vocational education curriculum. Teachers must also be able to implement good learning to produce optimal graduate performance. Pendidikan vokasi merupakan pendidikan yang menghasilkan lulusan siap kerja yang memiliki keterampilan sesuai kebutuhan dunia kerja. Memasuki era revolusi indusri 4.0 terjadi perubahan yang masif pada perbagai industri dan kebutuhan kemampuan pekerja. Artikel ini bermaksud mengkaji implikasi era revolusi industri 4.0 bagi kurikulum pendidikan vokasi. Berdasarkan kajian berbagai sumber dan praktek bisnis, diperlukan pengembangan kurikulum pendidikan vokasi yang sesuai dengan era revolusi industri 4.0 dan relevan menjawab kebutuhan keterampilan baru, seperti kemampuan membuat dan mengelola coding, big data, dan artificial intelligence. Kurikulum vokasi perlu menerapkan pembelajaran blended learning, yang mengintegrasikan pembelajaran tatap muka dan online, supaya lebih efektif membangun kemampuan dan ketrampilan lulusan. Kurikulum juga perlu memuat penguasaan kompetensi 4.0 seperti literasi data, literasi teknologi dan literasi manusia. Agar kurikulum pendidikan vokasi menghasilkan dampak yang luas, pemerintah, lembaga pendidikan, industri harus bersinergi untuk merevitalisasi pendekatan dan isi kurikulum pendidikan vokasi. Pengajar juga harus dapat menyelenggarakan pembelajaran yang baik untuk menghasilkan kinerja optimal lulusan.

2019 ◽  
Vol 20 (1) ◽  
pp. 82-90
Author(s):  
Unung Vera Wardina ◽  
Nizwardi Jalinus ◽  
Lise Asnur

Vocational education purpose is to produce ready-to-work graduates who have the relevant skills for current job employment. Entering the industrial revolution era 4.0 there were massive changes in various industries and workers' ability needs. This article intends to examine the implications of the industrial revolution 4.0 era for vocational education curriculum. Based on the study of various sources and business practices, it is necessary to develop vocational education curriculum that are in accordance with the era of industrial revolution 4.0 and relevant to answering the needs of new skills, such as the ability to create and manage coding, big data, and artificial intelligence. The vocational curriculum needs to apply blended learning, which integrates face-to-face and online learning, so as to more effectively build graduates' abilities and skills. The curriculum also needs to contain mastery of 4.0 competencies such as data literacy, technology literacy and human literacy. In order for the vocational education curriculum to have a broad impact, the government, educational institutions, industries must work together to revitalize the approach and content of the vocational education curriculum. Teachers must also be able to implement good learning to produce optimal graduate performance. Pendidikan vokasi merupakan pendidikan yang menghasilkan lulusan siap kerja yang memiliki keterampilan sesuai kebutuhan dunia kerja. Memasuki era revolusi indusri 4.0 terjadi perubahan yang masif pada perbagai industri dan kebutuhan kemampuan pekerja. Artikel ini bermaksud mengkaji implikasi era revolusi industri 4.0 bagi kurikulum pendidikan vokasi. Berdasarkan kajian berbagai sumber dan praktek bisnis, diperlukan pengembangan kurikulum pendidikan vokasi yang sesuai dengan era revolusi industri 4.0 dan relevan menjawab kebutuhan keterampilan baru, seperti kemampuan membuat dan mengelola coding, big data, dan artificial intelligence. Kurikulum vokasi perlu menerapkan pembelajaran blended learning, yang mengintegrasikan pembelajaran tatap muka dan online, supaya lebih efektif membangun kemampuan dan ketrampilan lulusan. Kurikulum juga perlu memuat penguasaan kompetensi 4.0 seperti literasi data, literasi teknologi dan literasi manusia. Agar kurikulum pendidikan vokasi menghasilkan dampak yang luas, pemerintah, lembaga pendidikan, industri harus bersinergi untuk merevitalisasi pendekatan dan isi kurikulum pendidikan vokasi. Pengajar juga harus dapat menyelenggarakan pembelajaran yang baik untuk menghasilkan kinerja optimal lulusan.


2021 ◽  
Vol 65 (8) ◽  
pp. 51-60
Author(s):  
Yujeong Kim

Today, each country has interest in digital economy and has established and implemented policies aimed at digital technology development and digital transformation for the transition to the digital economy. In particular, interest in digital technologies such as big data, 5G, and artificial intelligence, which are recognized as important factors in the digital economy, has been increasing recently, and it is a time when the role of the government for technological development and international cooperation becomes important. In addition to the overall digital economic policy, the Russian and Korean governments are also trying to improve their international competitiveness and take a leading position in the new economic order by establishing related technical and industrial policies. Moreover, Republic of Korea often refers to data, network and artificial intelligence as D∙N∙A, and has established policies in each of these areas in 2019. Russia is also establishing and implementing policies in the same field in 2019. Therefore, it is timely to find ways to expand cooperation between Russia and Republic of Korea. In particular, the years of 2020and 2021marks the 30th anniversary of diplomatic relations between the two countries, and not only large-scale events and exchange programs have prepared, but the relationship is deepening as part of the continued foreign policy of both countries – Russia’s Eastern Policy and New Northern Policy of Republic of Korea. Therefore, this paper compares and analyzes the policies of the two countries in big data, 5G, and artificial intelligence to seek long-term sustainable cooperation in the digital economy.


Author(s):  
Adeyinka Tella ◽  
Oluwakemi Titilola Olaniyi ◽  
Aderinola Ololade Dunmade

The chapter looked at records management in the fourth industrial revolution (4IR) with the challenges and the way forward. The chapter discussed the industrial revolutions, records management, and the fourth industrial revolution (4IR), and described the advancement in records management in the 4IR based on the 4IR tools and technologies including artificial intelligence, blockchain, internet of things (IoT), robotics, and big data. The chapter also identified and discussed the benefits of technological advancement in the management of records; challenges of records management at the wake of 4IR and charted the way forward. In the context of document and records management, and taking into account all characteristics of the 4IR technologies and tools as well as its underlying technologies and concepts, the chapter concluded that the 4IR tools can be used to save time to create and process records, secure records from being damaged or destroyed, confirm the integrity of records, among others.


2020 ◽  
Vol 6 (01) ◽  
pp. 128
Author(s):  
Mohammad Darwis

This paper discusses the revitalization of the role of pesantren in the 4.0 era by critically examining the process of change and development of pesantren due to the industrial revolution 4.0. This study begins with the development of an era that is entering the 4.0 revolution era, where all life is done digitally, starting from the digital economy, artificial intelligence, big data, and robotic. This will further change the established pesantren curriculum system, and in this era the world of education will experience its own challenges to adjust it including the education found in pesantren. Therefore pesantren must be able to make a change by revitalizing the role of pesantren so that later the existence of pesantren in the community can continue to be maintained, and pesantren graduates will be able to compete when in the community.


2020 ◽  
Vol 224 ◽  
pp. 03030
Author(s):  
M.A. Ponomareva ◽  
D.V. Karpukhin ◽  
A.N. Stolyarova

In modern Russia, the FinTech is relevant to the development of the financial segment of the economy. The Government evaluates the prospects of development of artificial intelligence technology, blockchain, big data in the area of budget, tax, customs and other relations by now. However, the development of the FinTech in Russia faces many problems. First of all, these is the absence of digital infrastructure for mining cryptocurrency, issues related to information security, the potential risks of illegal non-personalized transactions through the blockchain technology. It is necessary to analyze the content of the discovered institutional problems and to determine the ways to resolve them. The significant role in overcoming the difficulties is assigned to the Federal Law “About the Digital Financial Assets”, which shall enter into force on the 1st of January 2021. Besides the foreign experience in overcoming the difficulties related to the utilization of FinTech is particularly valuable for Russia to solve the identified issues effectively.


2020 ◽  
Vol 10 (1) ◽  
pp. 12-28
Author(s):  
Lasti Yossi Hastini ◽  
Rahmi Fahmi ◽  
Hendra Lukito

Saat ini telah diterapkan pembelajaran dengan menggunakan teknologi seperti e-learning, online-learning ataupun blended learning. Untuk menghadapi Revolusi Industi 4.0 Indonesia berusaha meningkatkan tiga literasi, yaitu literasi teknologi untuk memahami cara kerja mesin, aplikasi teknologi (Coding/Programming, Artificial Intelligence, & Engineering Principles), literasi data untuk membaca, menganalisis, dan menggunakan informasi (Big Data) di dunia digital dan literasi manusia untuk kemampuan komunikasi, kolaborasi, berpikir kritis, kreatif dan inovatif serta memiliki keterampilan kepemimpinan, team work dan sebagainya. Pemerintah meluncurkan SPADA Indonesia untuk meningkatkan akses pendidikan tinggi yang bermutu di Indonesia. Generasi Z adalah generasi yang saat ini berada di perguruan tinggi, otomatis mereka jadi sasaran utama dalam pelaksanaan SPADA dan peningkatan ketiga literasi tersebut. Generasi Z memiliki karakteristik yang berbeda dengan generasi-generasi lain. Penelitian literature review ini bertujuan untuk mengetahui apakah penerapan pembelajaran dengan menggunakan teknologi dapat meningkatkan atau justru melemahkan kemampuan literasi manusia pada Generasi Z di Indonesia. Metode yang digunakan adalah literature review. Hasilnya menunjukkan bahwa penggunaan teknologi dalam pembelajaran masih sulit untuk dapat meningkatkan literasi manusia pada Generasi Z karena mereka cenderung sulit berkomunikasi secara langsung, instan dan memudarkan nilai-nilai budaya dan agama.


CONVERTER ◽  
2021 ◽  
pp. 713-718
Author(s):  
Yumei Li

With the strategies of Internet plus, made in China 2025, AI 2.0 raised andnew information technologies of artificial intelligence, Internet of Things, big data, cloud computing, network securitydeveloped and applicated, Intelligent manufacturing will become the main direction of made in China 2025,information technology, especially the software technology is urged to integrate deeply with all walks of life, promoting the transformation and upgrade of relevant industries(such as industrial industry). Thus, it will further promote the development of new economy, which puts forward higher requirements for the characteristic construction and talent training of software engineering. This paper will explore the construction that “Double High-levels Plan” leads vocational education technical skills innovation platform and the construction that emerging education technology and the way of thinking, such as artificial intelligence, big data intelligent embedsin subject courses to form a professional group of software technique in vocational education led by "Double High-levels Plan". Disciplines and lessons boundaries should be broke through in the process of professional education teaching and innovation teaching means and methodsshould be iterated with the cooperation between course teaching and industrial development to create aprofessional group of software technology in line with the era development, and promote the reform of vocational education personnel training.


Author(s):  
Ginanjar Wiro Sasmito

Bina Nusa Slawi Vocational School (Binus) is one of the Vocational High Schools located in Slawi District, Tegal Regency. The results of a survey conducted, that almost all teachers and students (99%) had heard about the Industrial Revolution 4.0 and Internet of Things, but did not understand the meaning of it all, even though the industrial revolution 4.0 had disrupted almost all fields of science and lines of life. The survey results also show that all teachers and students have used internet maximally, but development trend of the use internet that is not yet widely understood, especially regarding: Wireless Sensor Network (WSN), Cloud Computing, Big Data, and Artificial Intelligence. Therefore needed an Introduction Study Internet of Things for Teachers and Students of SMK Bina Nusa Slawi as Insights One of the Characteristics of the Industrial Revolution 4.0. The method implemented is by giving presentations, discussions, and demonstrations about Internet of Things, Artificial Intelligence and Big Data. Based on activities that have been carried out, the results obtained are knowledge, understanding, competence of teachers and students of SMK Bina Nusa Slawi about Internet of Things increasing.


2019 ◽  
Vol 26 (12) ◽  
pp. 5-14
Author(s):  
S. Upadhyaya

Big data is a component of the Fourth Industrial Revolution. The deep penetration of digital technology has turned data into an essential component of the production process. Data are automatically generated by machines during the course of operation and during interactions with humans. This paper describes the concept and composition of big data. Most of the big data are unstructured and include text, audio-video files, images, emails, log files, etc. Statisticians are more interested in structured data presented in a pre-defined database model. Big data offer new sources and opportunities that cannot be discounted. However, the use of big data requires proper assessment in terms of quality dimensions such as accuracy, comparability and methodological soundness. Against the backdrop of arguments regarding big data, some users view big data as a replacement of official statistics. Such a conclusion is premature for at least two reasons: first, only a small part of big data can be used for decision-making. Second, theory and practice prove that a small sample based on scientific methods can yield much more reliable and accurate estimates than the results obtained from the processing of large amounts of unstructured data. The paper assesses the possibility of using big data for Sustainable Development Goals (SDG) monitoring, which is a nationally owned process, and NSOs are accountable for the SDG data they report. If the data are derived from a big data source, irrespective of the level of technical sophistication used in data transformation, the reliability of such data might be questioned by the national institutions. The paper concludes that the reliability of data obtained from big data sources hinges on the quality of tools and methods applied to data transformation. Statisticians can play an important role in alerting society, decision-making bodies of the government and businesses about the reliability of information derived from the different sources.


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