PENGEMBANGAN MODUL FISIKA BERBASIS PENDEKATAN DEEP LEARNING UNTUK MENDUKUNG KEMAMPUAN PEMECAHAN MASALAH PADA MATERI LISTRIK DI SMA

IRMA, . (2026) PENGEMBANGAN MODUL FISIKA BERBASIS PENDEKATAN DEEP LEARNING UNTUK MENDUKUNG KEMAMPUAN PEMECAHAN MASALAH PADA MATERI LISTRIK DI SMA. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Penelitian ini dilatarbelakangi oleh temuan analisis kebutuhan yang menunjukkan bahwa mayoritas murid SMA memandang materi kelistrikan sebagai konsep yang abstrak dan rumit, serta cenderung terjebak dalam pola surface learning yang menghambat kemampuan pemecahan masalah. Penelitian ini bertujuan untuk menghasilkan modul cetak pembelajaran fisika berbasis pendekatan deep learning untuk mendukung kemampuan pemecahan masalah murid SMA pada materi listrik yang valid, praktis, dan efektif. Model pengembangan yang digunakan mengacu pada desain pembelajaran instruksional Dick and Carey. Validasi produk dilakukan oleh ahli materi, ahli media, dan ahli pembelajaran. Keterlaksanaan produk diuji melalui kuesioner respons guru fisika serta persepsi murid. Sementara itu, efektivitas modul diukur melalui instrumen tes tertulis kemampuan pemecahan masalah berbasis tahapan Polya. Hasil uji kelayakan oleh ahli materi memperoleh persentase rata-rata sebesar 94,79% (Sangat Layak), ahli media sebesar 93,25% (Sangat Layak), dan ahli pembelajaran sebesar 88% (Sangat Layak). Pada uji praktisitas, kuesioner respons guru memperoleh skor rata-rata sebesar 88% (Sangat Praktis) dan kuesioner persepsi murid mencapai 96% (Sangat Praktis). Uji efektivitas produk menunjukkan rata-rata nilai tes kemampuan pemecahan masalah murid kelas XII SMA secara keseluruhan mencapai skor 73,63, yang termasuk dalam kategori sedang. Berdasarkan temuan empiris tersebut, dapat disimpulkan bahwa modul cetak fisika berbasis pendekatan deep learning yang dikembangkan telah teruji valid, praktis, dan efektif sebagai media penunjang pembelajaran untuk mendukung kemampuan pemecahan masalah murid SMA secara prosedural dan sistematis. Kata Kunci: Modul Cetak Fisika, Deep Learning, Kemampuan Pemecahan Masalah, Materi Listrik, Polya. ***** This research is initiated by the findings of a needs analysis indicating that the majority of high school students perceive electricity concepts as abstract and complex, leading to a tendency toward surface learning patterns that hinder problem-solving skills. This study aims to develop a valid, practical, and effective printed physics learning module based on a deep learning approach to support high school students’ problem-solving skills in electricity topics. The development model refers to the Dick and Carey instructional design. Product validation was conducted by material experts, media experts, and learning experts. The practicality of the product was evaluated using response questionnaires from physics teachers and student perception surveys. Meanwhile, the effectiveness of the module was measured through a written test instrument evaluating problem-solving skills based on Polya’s stages. The feasibility test results by material experts yielded an average percentage of 94.79% (Highly Feasible), media experts at 93.25% (Highly Feasible), and learning experts at 88% (Highly Feasible). In the practicality test, the teacher response questionnaire obtained an average score of 88% (Highly Practical) and the student perception questionnaire reached 96% (Highly Practical). The product effectiveness test showed that the overall average problem-solving skill test score of 12th-grade high school students reached 73.63, falling into the medium category. Based on these empirical findings, it can be concluded that the developed printed physics module based on a deep learning approach is proven to be valid, practical, and effective as a instructional medium to support high school students’ problem-solving skills procedurally and systematically. Keywords: Physics Printed Module, Deep Learning, Problem-Solving Skills, Electrical Topics, Polya.

Item Type:	Thesis (Sarjana)
Additional Information:	1). Fauzi Bakri, S.Pd., M.Si. ; 2). Vina Bekti Utami, S.Si., M.Pd.
Subjects:	Sains > Sains, Ilmu Pengetahuan Alam Sains > Fisika
Divisions:	FMIPA > S1 Pendidikan Fisika
Depositing User:	Irma .
Date Deposited:	27 Aug 2026 03:58
Last Modified:	27 Aug 2026 03:58
URI:	http://repository.unj.ac.id/id/eprint/73149

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