A Study on social interests about the "4th industrial revolution" using Naver big data

2021 ◽  
Vol 16 (1) ◽  
pp. 187-203
Author(s):  
Ho-Sung Kim
2021 ◽  
Vol 1839 (1) ◽  
pp. 012004
Author(s):  
W Sardjono ◽  
G Rama Putra ◽  
E Selviyanti ◽  
A Cholidin ◽  
G Salim

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.


Author(s):  
Jirapun Daengdej ◽  
Kitikorn Dowpiset

Every country is currently preparing themselves for the fourth industrial revolution, the environment where innovation is the key concept for survival. Most of the countries have developed framework for their e-government development. Unfortunately, most of these frameworks do not contain adequate details on what are the activities required if big data will be used as a backbone of all services. This research focuses on proposing a conceptual framework for development of e-government in Thailand. The proposed framework explicitly contains all important activities to be completed if big data will serve as the core component of all services for their citizens.


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.


Respati ◽  
2019 ◽  
Vol 14 (2) ◽  
Author(s):  
Agus Fatkhurohman ◽  
Eli Pujastuti

 INTISARIPerkembangan zaman di era modern ini sudah memasuki era revolusi industri 4.0, dimana segala aspek sudah bergantung pada sebuah teknologi. Dimana bentuk teknologi ini sudah bergerak secara otomatis dan saling terhubung dengan jaringan internet. Teknologi yang digunakan sudah bergerak otomatis dan sudah banyak yang menggunakan sebuah system cerdas. Berbicara mengenai jaringan internet dan system cerdas, maka keterkaitan dengan sebuah data yang digunakan akan semakin besar bahkan bisa sampai tergolong data dengan kategori big data. Yang mana tempat penyimpanan data juga harus disesuaikan dengan kebutuhan datanya. Selain dengan kebutuhan data yang semakin besar di era revolusi industry ini yang selalu dikaitkan dengan jaringan internet maka keamanan sebuah data juga perlu dipertanyakan. Secara tidak langsung keamanan data juga bisa menjadi masalah besar. Dengan jaringan internet setiap orang di setiap dunia bisa mengakses sebuah data yang terkoneksi dengan jaringan internet. Tidak asing lagi sekarang sudah banyak kasus pencurian data karena terhubung dengan jaringan internet. Kasus pencurian data ini sering memanfaatkan website sebagai sarana untuk mencuri datanya yang sering disebut dengan istilah website phising. Phishing masih menjadi vektor serangan teratas yang memberi akses ke penyerang untuk membuka informasi pribadi seperti kredensial login dan nomor kartu kredit. Pada 2017 lalu, Indonesia menempati urutan ke-9 jumlah serangan phising yakni satu phishing insiden per 2.380 email. Laporan terbaru F5 yang bertajuk menyebutkan, insiden penipuan (fraud) pada Oktober, November, dan Desember melonjak 50% dari rata-rata tahunan. Berpura-pura menjadi seseorang atau entitas yang terkenal adalah taktik utama. Sebanyak 71% serangan phishing pada periode 1 september – 31 Oktober 2018 menggunakan modus mengaku dari perusahaan terkenal, khususnya di industri teknologi.Kata kunci :  jaringan, internet, sistem cerdas, website phising, serangan. ABSTRACT        The development of the era in this modern era has entered the era of industrial revolution 4.0, where all aspects have depended on a technology. Where this form of technology has moved automatically and interconnected with internet networks. The technology used has moved automatically and many have used an intelligent system. Talking about the internet network and intelligent systems, the linkages with the data used will be even greater and can even be classified as data with the big data category. Which is where the data storage must also be adjusted to the data requirements. In addition to the increasing data requirements in the industrial revolution era which are always associated with the internet network, the security of a data also needs to be questioned. Indirectly data security can also be a big problem. With the internet network everyone in every world can access a data that is connected to the internet network. No stranger now there are many cases of data theft because it is connected to the internet network. This data theft case often uses websites as a means to steal data which is often referred to as phishing websites.        Phishing is still the top attack vector that gives attackers access to private information such as login credentials and credit card numbers. In 2017, Indonesia ranked 9th in the number of phishing attacks, one phishing incident per 2,380 emails. The latest F5 report entitled, fraud in October, November and December increased by 50% from the annual average. Pretending to be someone or a famous entity is the main tactic. As many as 71% of phishing attacks in the period 1 September - 31 October 2018 use the mode claimed to be from a well-known company, especially in the technology industry.Keywords: network, internet, intelligents systems, website phishing, attack.


2020 ◽  
Author(s):  
Hendro Wicaksono

The presentation discussed the impact of the technologies related to the 4th industrial revolution on big data. The 4th industrial revolution ecosystem is characterized by the presence of smart PPR (Product, Process, and Resource) who generates data. It transforms the product-based business model to product-data-driven service model. Big data also exist due to the digital transformation of supply chain management processes. Data analytics and machine learning can improve the supply chain management processes, such as demand forecasting, production, strategic sourcing, etc. Finally, the presentation gives some examples of the application of data analytics in real companies.


2020 ◽  
Vol 2020 ◽  
pp. 1-22
Author(s):  
Qin Jiancheng ◽  
Lu Yiqin ◽  
Zhong Yu

With the advent of IR (Industrial Revolution) 4.0, the spread of sensors in IoT (Internet of Things) may generate massive data, which will challenge the limited sensor storage and network bandwidth. Hence, the study of big data compression is valuable in the field of sensors. A problem is how to compress the long-stream data efficiently with the finite memory of a sensor. To maintain the performance, traditional techniques of compression have to treat the data streams on a small and incompetent scale, which will reduce the compression ratio. To solve this problem, this paper proposes a block-split coding algorithm named “CZ-Array algorithm,” and implements it in the shareware named “ComZip.” CZ-Array can use a relatively small data window to cover a configurable large scale, which benefits the compression ratio. It is fast with the time complexity O(N) and fits the big data compression. The experiment results indicate that ComZip with CZ-Array can obtain a better compression ratio than gzip, lz4, bzip2, and p7zip in the multiple stream data compression, and it also has a competent speed among these general data compression software. Besides, CZ-Array is concise and fits the hardware parallel implementation of sensors.


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