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Improving Student Learning Outcomes With Educational Game-Based Interactive Learning Media Suri, Atika; Novriana, Nadia; Susanti, Dela
International Journal of Education and Teaching Zone Vol. 1 No. 1 (2022): June 2022 Edition
Publisher : Yayasan Nurul Yakin Bunga Tanjung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (469.063 KB) | DOI: 10.57092/ijetz.v1i1.5

Abstract

This study uses research and development methods (Research and Development) to produce an interactive learning device based on good educational games to improve student learning outcomes and motivation. This research is used in order to produce a certain product and test its effectiveness in improving student learning outcomes. Data processing using a questionnaire method, tests, then analyzed quantitatively descriptive. The research sample is MTs students. Tarbiyah Islamiyah Kedemangan class IX. The sampling technique used is purposive sampling, using quantitative, qualitative descriptive analysis, and correlative hypothesis testing. The results of this study showed an increase in student learning outcomes of the experimental group, which were classified as good by utilizing interactive media based on the Kahoot! Educational game. Not only that, but students' learning motivation is also categorized as good, so it can be concluded that interactive learning based on the educational game media that was developed is suitable to be used to improve student learning outcomes and motivation
Security And Development Of Modern Computer Networks: A Literature Review On Monitoring, Cyber Threats, And Intelligent Detection Systems Susanti, Dela; Jannah, Dina Miftahul; Yunan, Amsar; Ginting, Depi; Anugreni, Fera
JATAED: Journal of Appropriate Technology for Agriculture, Environment, and Development Vol. 3 No. 1 (2025): JATAED: Journal of Appropriate Technology for Agriculture, Environment, and Dev
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jataed.v3i1.92

Abstract

The development of modern computer networks has become a fundamental foundation for the implementation of various digital services in the era of digital transformation. Improvements in network speed, scalability, and integration provide significant benefits for the education, government, industrial, and financial sectors. However, behind these advancements, serious challenges emerge in terms of network security. The increasing complexity of modern network architectures raises the potential for cyber threats that may compromise data confidentiality, integrity, and availability. This study aims to examine the development and security of modern computer networks using a descriptive qualitative approach through a literature review method. Data sources were obtained from scientific articles, academic books, and relevant publications discussing computer networks, network monitoring, cyber threats, and intelligent attack detection systems. The results indicate that cyber threats such as phishing, malware, port scanning, and Distributed Denial of Service (DDoS) remain dominant issues. Network monitoring plays an important role as an early detection mechanism, but it has limitations in handling complex and dynamic attacks. Therefore, the implementation of machine learning-based intrusion detection systems is considered capable of enhancing network security effectiveness. The integration of technology, monitoring systems, and improved user security awareness is a key strategy in building adaptive and sustainable network security systems.