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Tingkat Literasi Digital Mahasiswa FKIP Universitas Abulyatama dalam Menulis Skripsi Ferlya Elyza; Juniana Husna; Abdul Haliq
Jurnal Onoma: Pendidikan, Bahasa, dan Sastra Vol. 10 No. 4 (2024)
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/onoma.v10i4.4566

Abstract

Tujuan utama dari penelitian ini, yaitu untuk mengukur tingkat literasi digital mahasiswa FKIP Universitas Abulyatama dalam menulis skripsi. Penelitian ini menggunakan pendekatan kuantitatif dengan desain penelitian deskripstif kuantitatif. Teknik pengumpulan data dalam penelitian ini menggunakan teknik angket atau kuesioner yang diisi oleh mahasiswa FKIP Universitas Abulyatama yang sedang menulis skripsi. Skripsi yang dihasilkan juga diperiksa untuk memperoleh data mengenai teknik penulisan dan referensi yang digunakan. Teknik analisis data dalam penelitian ini, yaitu deskriptif kuantitatif. Hasil penelitian menunjukkan bahwa tingkat literasi digital yang diukur dengan menggunakan aspek kompetensi literasi digital di antaranya kompetensi pencarian di internet, kompetensi pandu arah hypertextual, kompetensi evaluasi konten informasi, dan kompetensi penyusunan pengetahuan berada di kategori tinggi dan sangat tinggi. Hal ini menunjukkan bahwa mahasiswa FKIP Universitas Abulyatama menggunakan kompetensi literasi digital dengan baik dalam menyusun skripsi.
Pengetahuan Konseptual Biologi Siswa SMA di Aceh Silvi Puspa Widya Lubis; Paidi; Samsuar; Putri Dini Meutia; Syarifah Rahmiza Muzana; Ferlya Elyza; I Gusti Putu Suryadarma
Jurnal Serambi Ilmu Vol. 24 No. 2 (2023): Jurnal Serambi Ilmu
Publisher : Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jsi.v24i2.910

Abstract

This research was descriptive research using the survey method. This research was conducted at the Public Senior High School, Aceh Besar, Aceh in 2019. The research subjects were 135 students of class X SMAN in Aceh Besar. The sampling technique was the total sampling technique. Data collection was done through test techniques. The test technique was carried out to measure the achievement of conceptual abilities. The test instrument used was multiple choice taken from ecosystem material. The data analysis used was inferential analysis to determine the difference in the achievement of students' conceptual knowledge in schools with the accommodated variables, namely based on gender. The results obtained indicate that the results of the study obtained a value of p = 0.000 (p <0.05), so there is a significant difference between the gender of female and male students. The average value of the achievement of conceptual knowledge of students of class X IPA SMA Negeri in Aceh Besar where the female students were 8,96 and male students were 4.36. It can be concluded that the conceptual knowledge of female students is higher than male students.
The Transformation of Written Communication through Artificial Intelligence: A Systematic Review and Analysis Rini Susiani; Rahmi Fhonna; Barep Sarinauli; Ferlya Elyza
AL-ISHLAH: Jurnal Pendidikan Vol 17, No 3 (2025): SEPTEMBER 2025
Publisher : STAI Hubbulwathan Duri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35445/alishlah.v17i3.6421

Abstract

The integration of artificial intelligence (AI) in language education has significantly influenced academic writing practices. Despite the growing adoption of AI tools, a comprehensive synthesis of their roles, benefits, and challenges in academic writing remains limited. This study conducted a systematic review following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses – Scoping Review) framework. Articles published between 2019 and 2024 were sourced from ERIC and Google Scholar databases, focusing on the use of AI technologies in academic writing. A total of 28 eligible studies were reviewed and analyzed. The findings highlight three dominant AI tools: QuillBot (30%), Grammarly (25%), and ChatGPT (15%), each contributing across domains such as language enhancement, content generation, and translation. These tools are widely used to improve grammar, paraphrasing, writing structure, and provide immediate, adaptive feedback. The implementation spans various stages of the writing process, from prewriting to revision. While AI tools offer significant educational benefits—including improved writing quality, personalized learning, and efficiency—they also present challenges. These include over-reliance, reduced critical thinking, concerns about academic integrity, and data privacy risks. The review emphasizes the importance of pedagogically grounded AI integration to maintain student autonomy and uphold academic ethics. This review offers a practical framework for integrating AI in academic writing instruction, balancing technological affordances with essential educational values. It provides actionable insights for educators to support ethical and effective AI use in writing pedagogy.