Karmila Suryani
Universitas Bung Hatta, Padang

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Matrix Integration with Jitsi Conference Server for Online Learning Rini Widyastuti; Karmila Suryani; Ade Fitri Rahmadani; Triadmoko Denny Fatrosa; Wandi Syahindra
Knowbase : International Journal of Knowledge in Database Vol 1, No 2 (2021): December 2021
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (781.539 KB) | DOI: 10.30983/ijokid.v1i2.5040

Abstract

The current online learning process requires virtual face-to-face media to interact between lecturers and students. However, currently available media requires lecturers to pay a fee to communicate indefinitely. Therefore, we need a media that can facilitate lecturers to do learning easily. This study aims to integrate jitsi with matrix conferences as a real-time online communication medium in learning. This type of research is development research (R&D) with the waterfall method. The steps taken are analysis, design, coding and testing. The analysis is carried out on the system development needs, then the design stage of the Jitsi architecture with a matrix, then coding using PHP and testing through QoS. QoS testing has very good throughput results, poor packet loss, very good delay, and excellent jitter for small-scale applications. It shows that picking video conferencing can be used as a medium of communication in online learning.
Innovative Arabic Language Learning: Redefining Language Archetypes Using Artificial Intelligence Hadid Asfar; Ilya Husna; Yasmadi Yasmadi; Ashabul Khairi; Karmila Suryani; Al Ikhlas; Ade Sri Madona
AL-TA'RIB : Jurnal Ilmiah Program Studi Pendidikan Bahasa Arab IAIN Palangka Raya Vol 12 No 2 (2024)
Publisher : Universitas Islam Negeri Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23971/altarib.v12i2.8323

Abstract

Although Arabic language learning based on Artificial Intelligence (AI) has developed rapidly, comprehensive studies on how this technology is transforming the fundamental paradigms of Arabic language education remain scarce. Therefore, this research aims to explore the changing paradigms of Arabic language learning through the use of AI. This study employs a qualitative descriptive approach and is primarily a literature review. Data were collected from various recent sources, including books, journals, articles, websites, and more. The data collection technique used was documentation, and the analysis was conducted using content analysis. The findings of this study encompass AI-based learning of Arabic vocabulary (mufradat), grammar (qowaid), translation (tarjamah), language skills (maharah), communicative learning, and assessment of Arabic learning. The conclusion drawn from this research is that the use of AI can serve as an interactive tool that enhances students' Arabic language learning abilities and opens up opportunities for more flexible, effective, and efficient educational approaches. Future research could focus on the development of AI tools tailored specifically for different dialects of Arabic and investigate the long-term impact of AI on Arabic language proficiency across diverse learner demographics.