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All Journal International Journal of Educational and Life Sciences (IJELS)
Fajar Haditio
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Computer Network Design and Network Security System Development Computers in the Age of Big Data Dwi Fahrulrezza; Muhamad Jaky Jamal; Nova Rahmad Prasetya; Emi Sita Eriana; Fajar Haditio
International Journal of Educational and Life Sciences Vol. 2 No. 11 (2024): November 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijels.v2i11.2708

Abstract

The proliferation of big data has raised new challenges in terms of network security. This research proposes a network architecture inspired by the concept of software-defined networking (SDN) to provide high flexibility and scalability in the face of exponential data growth. In addition, an artificial intelligence-based security system is developed to detect increasingly sophisticated threats. The test results show that the designed network architecture is able to improve system performance and reliability, while the security system succeeds in reducing the false detection rate and increasing the intrusion detection rate. This research is expected to serve as a foundation for the development of a more secure and efficient network infrastructure in the big data era.
Implementation of Big Data in Learning in the Era of Industrial Revolution 4.0 Muhammad Wahid Muhtadi; Ronggur Hasibuan; Yohanes William Kaunang; Emi Sita Eriana; Fajar Haditio
International Journal of Educational and Life Sciences Vol. 2 No. 12 (2024): December 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijels.v2i12.2787

Abstract

The Industrial Revolution 4.0 has brought significant transformation in various sectors, including education. The use of Big Data in learning has become one of the main focuses in an effort to improve the quality of education, especially in vocational schools. Through a systematic review of relevant scientific literature, this study reveals the great potential of Big Data in learning personalization, student performance analysis, curriculum development, and improving the efficiency of managing educational institutions. However, it also identifies a number of challenges that need to be addressed, such as the lack of technological infrastructure, the lack of competence of educators, and the lack of supportive policies.The results of this study are expected to contribute to the development of more comprehensive education policies in the utilization of Big Data. In addition, this research is also expected to serve as a reference for education practitioners, technology developers and policy makers in an effort to improve the quality of education in the digital era.
Co-Authors Dwi Fahrulrezza Emi Sita Eriana Muhamad Jaky Jamal Muhammad Wahid Muhtadi Nova Rahmad Prasetya Ronggur Hasibuan Yohanes William Kaunang