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Unsur Kebudayaan dalam Karya Sastra Anak: Novel Mata Di Tanah Melus Arsyad, M. Ziyan Takhqiqi
Dharmas Education Journal (DE_Journal) Vol 6 No 1 (2025): DE_Journal
Publisher : Fakultas Keguruan dan Ilmu Pendidikan Univesitas Dharmas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56667/de_journal.v6i1.1838

Abstract

Penelitian ini bertujuan mengkaji unsur-unsur kebudayaan dalam novel anak Mata di Tanah Melus. Penelitian ini menggunakan metode penelitian kualitatif dengan pendekatan antrolopologi sastra. Novel Mata di Tanah Melus berlatar di kabupaten Belu yang dihuni oleh suku Melus. Penelitian ini mengkaji tujuh unsur kebudayaan meliputi; bahasa, sistem teknologi, pengetahuan, sistem kemasyarakatan, mata pencaharian, unsur religi, dan kesenian. Antropologi sastra dipilih sebagai pendekatan penelitian yang menjadikan novel sebagai mimetik (tiruan) untuk mengkaji unsur-unsur kebudayaan dalam novel. Peneliti mengumpulkan data dimulai dengan membaca novel berulang-ulang, mencatat data-data penelitian, kategorisasi/mengklasifikasi, dan kemudian memberi kode pada data yang ditemukan dalam novel untuk dilakukan analisis data. Setelah menganalisis data dari novel Mata di Tanah Melus dapat ditemukan gambaran representatif unsur-unsur kebudayaan tersebut berupa monolog, dialog, atau narasi yang berkaitan dengan suku Melus.
Artificial Intelligence (AI) as the Reflective Partner: Empowering Teachers for Deep Learning Pedagogy Rahman, Abdul; Nurmahmudah, Fitri; Putra, Eka Cahya Sari; Harsono, Arta Mulya Budi; Dewantara, Brezto Asagi; Arsyad, M. Ziyan Takhqiqi; Alfarisa, Fitri
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 3 (2025): Agustus - October
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i3.2426

Abstract

This study aims to explore the role of AI as a reflective partner to empower teachers in implementing deep learning pedagogy. The method used is a systematic literature review (SLR) with a PRISMA approach. Data was obtained through article searches in the SpringerLink database using relevant keywords, then filtered based on methodological quality, topic suitability, and publication completeness. A total of 21 selected articles were qualitatively analyzed using Atlas.ti version 24 software to identify codes, categories, and research concept maps. The analysis results revealed five main themes of AI’s role in deep learning pedagogy: (1) AI-Supported Deep Learning Lesson Design, which supports teachers in designing objectives, content, and anticipating learning barriers; (2) AI in Orchestrating Deep Learning Processes, which organizes classroom dynamics through inquiry prompts, multi-representation of concepts, and real-time formative feedback; (3) AI-Augmented Deep Learning Assessment, which strengthens authentic assessment through multi-level rubrics, evidence-based performance analysis, and verification of learning processes; (4) AI-Driven Reflective Teaching Practices, which facilitates data-driven reflection, action planning, and knowledge curation for professional development; and (5) Ethical and Contextual AI Integration, which emphasizes the importance of local context, ethical awareness, and data protection. Based on the findings, it is recommended that teachers receive practice-based training that not only focuses on technical skills but also on integrating AI into deep learning pedagogy principles.