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All Journal Pendas : Jurnah Ilmiah Pendidikan Dasar JUPE : Jurnal Pendidikan Mandala
Toulay, Yulce Getruida
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Ethics of Using AI in Academics: A Case Study Among Informatics Students at Citra Bangsa University Toulay, Yulce Getruida; Sogen, Maria Magdalena Beatrice; Leo, Agni Duariti; Ndun, Sandro William
JUPE : Jurnal Pendidikan Mandala Vol 10, No 2 (2025): JUPE : Jurnal Pendidikan Mandala (Juni)
Publisher : Lembaga Penelitian dan Pendidikan Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/jupe.v10i2.8855

Abstract

The advancement of Artificial Intelligence (AI) has penetrated the academic field, offering ease in learning processes and task completion. However, ethical concerns regarding its use arise. This study aims to analyze the awareness and ethical perspective of Informatics students at Universitas Citra Bangsa towards AI usage. A total of 30 students from semesters 2, 4, and 6 participated by filling out a questionnaire. The results show a high level of interest in using AI tools responsibly and a strong demand for formal ethical guidance from the university. The research concludes that ethical education related to AI is essential and should be integrated into the academic curriculum.  
PENGARUH PENERAPAN DEEP LEARNING TERHADAP PENINGKATAN HASIL BELAJAR SISWA PADA MATA PELAJARAN INFORMATIKA KELAS VIII SMP KRISTEN CITRA BANGSA MANDIRI KUPANG Toulay, Yulce Getruida; Enstein, Jhon; Fallo, Diana Yanni Ariswati
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 03 (2026): Volume 11 Nomor 03, September 2026 Verified
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i03.64811

Abstract

This study aims to evaluate the effectiveness of implementing the Deep Learning instructional model in improving student learning outcomes in the topic "Applying Computational Thinking" within the Informatics subject. A quantitative approach with a True-Experimental method was employed in this research. Data were gathered through pre-test and post-test instruments administered to both a control group (N = 14) and an experimental group (N = 18).The results indicated that the implementation of the Deep Learning model had a significant effect on student learning outcomes. The mean pre-test score of the experimental group was 36.00, which increased significantly to 87.22 in the post-test. Meanwhile, the control group using traditional lecture-based learning achieved a mean pre-test score of 26.07 and a post-test score of 40.71. Hypothesis testing using an Independent Samples t-Test yielded t_calculated = -11.066 (df = 30) with a 2-tailed significance value of p < 0.001, indicating the rejection of H0 (p < 0.05). The mean difference of 46.452 points and a large effect size (Cohen's d = 3.943) confirm that the Deep Learning model is highly effective in significantly enhancing student skills and learning outcomes.
Co-Authors Fallo, Diana Yanni Ariswati Jhon Enstein Leo, Agni Duariti Ndun, Sandro William Sogen, Maria Magdalena Beatrice