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Dampak AI Generatif (LLMS) terhadap Keterampilan Menulis dan Integritas Akademik: Tinjauan Literatur Sistematis Fahmy Syahputra; Elsa Sabrina; Tirta Yasa Agung Barus; M Farid Al Farishi; Rabiatul Adwiyah; Nadila Ramadani; Jauharah Jauharah
TRILOGI: Jurnal Ilmu Teknologi, Kesehatan, dan Humaniora Vol 6, No 4 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/trilogi.v6i4.13431

Abstract

This study aims to examine the impact of Generative AI (LLMs), such as ChatGPT, on students' writing skills and academic integrity through a Systematic Literature Review (SLR) of 15 relevant articles. The synthesis results reveal a significant duality effect, creating a dilemma between efficiency and quality. On one hand, LLMs are proven to be effective assistive co-pilots, which clearly enhance the technical efficiency of writing, accelerate the research workflow, and improve text cohesion and precision. However, this convenience triggers a substance quality crisis because students experience cognitive over-reliance, leading to Academic Deskilling the loss of the ability to independently practice critical reasoning and idea synthesis. This dependency is exacerbated by blind reliance on AI output and vulnerability to hallucinations that threaten the originality of the work. The consequence is a shift in the form of misconduct to the sophisticated practice of prompt engineering. To address these challenges, the literature emphasizes the necessity of pedagogical redesign and assessment redesign, which must focus on establishing ethics that ensure full transparency and accountability from students, and designing tasks that demand personal synthesis and reflective thinking.
Designing Windows-Based Learning Applications Using Computer Network Material Fahmy Syahputra; Tansa Trisna Astono Putri; Nadila Ramadani; M Farid Al farishi; M Nadhif Faturrahman
QISTINA: Jurnal Multidisiplin Indonesia Vol. 3 No. 2 (2024): December 2024
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/qistina.v3i2.4230

Abstract

This article discusses the design of a Windows-based learning application for computer network hardware. In the context of education, providing computer network hardware is often a challenge, especially in terms of understanding complex concepts. Therefore, interactive and interesting learning materials are needed to help students understand the material better. The application is designed using an interactive multimedia approach, combining text, images, animations, and videos to present information in a computer network. The design process includes needs analysis, user interface design, and development of program-related content. Application testing is carried out to ensure that the application meets learning objectives and can be used effectively by students. The results of the study show that this application not only improves students' understanding of computer networks but also provides a more enjoyable learning experience. Therefore, hopefully this learning application can be an effective tool in the teaching and learning process in educational environments.