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PENERAPAN MODEL PEMBELAJARAN INTERAKTIF TERHADAP HASIL BELAJAR SISWA PADA MATA PELAJARAN PKn Siti Khairani; Rosida Minta Ito Pasaribu; Sri Yunita; Yacobus Ndona
JGK (Jurnal Guru Kita) Vol. 8 No. 4: September 2024
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jgk.v8i4.60627

Abstract

Dengan menggunakan model pembelajaran interaktif berbasis aktivitas, siswa cenderung lebih aktif karena suasana belajar mengarah kepada siswa menemukan hasil pemahaman melalui suatu interaksi, mudah dalam memahami materi ajar, karena dibantu melalui media belajar yang kongkrit.Setelah dilakukan tindakan-tindakan dalam penelitian ini, hasil belajar siswa mengalami peningkatan yang sangat signifikan. Hasil penelitian membuktikan bahwa penerapan pembelajaran menggunakan model pembelajaran interaktif dapat meningkatkan hasil belajar siswa pada mata pelajaran PKn.
Implementasi Pendidikan Idealisme di Perguruan Tinggi Swasta STAI Raudhatul Akmal Batang Kuis Deli Serdang Masyitah Masyitah; Wildansyah Lubis; Yacobus Ndona
Edu Cendikia: Jurnal Ilmiah Kependidikan Vol. 4 No. 03 (2024): Research Articles, December 2024
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/educendikia.v4i03.4888

Abstract

Idealism in education is an approach that emphasizes the holistic development of individual potential, encompassing intellectual, moral, and social aspects. STAI Raudhatul Akmal, as a private institution, envisions producing graduates who are not only academically competent but also possess integrity and the ability to face societal challenges. This study aims to identify and analyze the implementation of idealistic educational principles in the curriculum and learning practices at STAI Raudhatul Akmal. A qualitative approach was employed, with data collected through interviews, observations, and document analysis. The findings indicate that integrating idealistic values is evident in teaching, where lecturers act as facilitators, encouraging students to think critically and creatively.Additionally, extracurricular activities based on ethical and moral values shape student character. This research recommends enhanced training for lecturers and developing more structured programs to ensure that idealism values can be internalized more effectively. Thus, it is hoped that graduates of STAI Raudhatul Akmal can become positive agents of change in society, which aligns with the goals of idealism education.
KAJIAN EPISTEMOLOGI FILSAFAT ILMU TERHADAP ARTIFICIAL INTELLIGENCE SEBAGAI SUMBER PENGETAHUAN Mahfuzha Pane; Daulat Saragi; Yacobus Ndona
Didaktik : Jurnal Ilmiah PGSD STKIP Subang Vol. 12 No. 02 (2026): Volume 12 No. 2, Juni 2026 Release
Publisher : STKIP Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36989/didaktik.v12i02.12665

Abstract

ABSTRACT The epistemological study of the philosophy of science regarding Artificial Intelligence (AI) as a source of knowledge has become important as technological developments influence the way knowledge is produced and validated in contemporary scientific practice. The main problem in this study is the epistemological position of artificial intelligence as a source of knowledge and the shifts in the concept of truth that it causes. This study aims to analyze the position of artificial intelligence as a source of knowledge from the perspective of the epistemology of the philosophy of science and identify epistemological shifts in the digital era. This study uses a qualitative approach with library research and a philosophical approach that focuses on epistemological analysis. Data were obtained from various relevant scientific literature and analyzed using descriptive-interpretive and critical-reflective techniques. The results show that artificial intelligence has a position as an entity involved in the process of knowledge production, but cannot be categorized as a legitimate source of knowledge as a whole because it lacks awareness, understanding of meaning, and reflective ability in the process of justifying truth. In addition, the development of artificial intelligence has given rise to an epistemological shift from knowledge based on causal explanations to knowledge based on predictions and operational effectiveness, which has resulted in changes in the criteria of truth and the emergence of epistemological problems such as justification crises, data bias, and algorithmic opacity.