Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
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All Journal EduLine: Journal of Education and Learning Innovation EDULEC
Ashabul Taufik
Universitas Islam Makassar, Indonesia
Education Languange, Linguistic, Communication & Media Library & Information Science Mathematics Other

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Pengaruh Pemanfaatan AI Sebagai Asisten Belajar Terhadap Minat Belajar Mahasiswa Dalam Mengikuti Perkuliahan Ashabul Taufik; Hermila A; Andi Muh Akbar Saputra; Indra Farman
JURNAL PENDIDIKAN BAHASA DAN BUDAYA Vol 5 No 3 (2025): December (EDULEC)
Publisher : CV. Eureka Murakabi Abadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56314/edulec.v5i3.442

Abstract

Penelitian ini bertujuan untuk mengidentifikasi pengaruh pemanfaatan AI sebagai asisten belajar terhadap minat belajar mahasiswa dalam mengikuti perkuliahan. Pendekatan kuantitatif digunakan dengan menyebarkan angket kepada 103 mahasiswa Fakultas Teknik Universitas Negeri Gorontalo. Instrumen penelitian telah melalui uji validitas dan reliabilitas sebelum digunakan pada pengambilan data utama. Hasil analisis regresi menunjukkan bahwa penggunaan AI berpengaruh positif dan signifikan terhadap minat belajar mahasiswa, dengan koefisien regresi sebesar 0.843 dan nilai signifikansi 0.000. Temuan ini mengindikasikan bahwa AI dapat meningkatkan motivasi, pemahaman materi, dan keterlibatan mahasiswa dalam proses belajar, meskipun risiko ketergantungan dan penurunan kreativitas tetap perlu diperhatikan. Secara keseluruhan, AI terbukti efektif sebagai alat bantu belajar apabila digunakan secara bijak dan bertanggung jawab.
Analysis of Competency GAPs among Computer and Network Engineering (TKJ) Students in Relation to Industry Needs and Their Implications for Learning Technology Design Ashabul Taufik; Kamal; Nur Alamsyah
EduLine: Journal of Education and Learning Innovation Vol. 6 No. 2 (2026)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.eduline4800

Abstract

This study aims to analyze the competency GAP of Computer and Network Engineering (TKJ) students in relation to industry demands and to formulate its implications for instructional technology design. This study employs a mixed methods approach with an explanatory sequential design involving 31 twelfth-grade TKJ students who have completed their industrial internship (Praktik Kerja Lapangan/PKL). Quantitative data were collected through a Likert-scale questionnaire and analyzed using descriptive statistics and GAP analysis, while qualitative data were obtained from open-ended responses and analyzed using thematic analysis. The results show that TKJ learning has provided a strong foundation of basic competencies, particularly in preparing students for industrial internships and initial job readiness. However, competency GAPs remain in the integration of up-to-date industrial technologies and the depth of troubleshooting practices aligned with industry standards. The GAP analysis reveals that the highest GAPs occur in the discussion of current technologies (1.48) and troubleshooting skills based on industry standards (1.45). The findings of this study indicate that integrating quantitative GAP analysis with qualitative reflections from internship experiences provides a comprehensive empirical basis for developing adaptive, practice-based, and industry-aligned instructional technology design.
Co-Authors Andi Muh Akbar Saputra Hermila A Indra Farman Kamal Nur Alamsyah