PENGEMBANGAN MODUL DIGITAL BERBASIS PENDEKATAN DEEP LEARNING DENGAN MODEL PROBLEM BASED LEARNING (PBL) PADA MATERI GELOMBANG BUNYI

OKAN FADILAH, . (2026) PENGEMBANGAN MODUL DIGITAL BERBASIS PENDEKATAN DEEP LEARNING DENGAN MODEL PROBLEM BASED LEARNING (PBL) PADA MATERI GELOMBANG BUNYI. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Pembelajaran fisika pada materi Gelombang Bunyi masih menghadapi kendala karena muird cenderung menghafal rumus tanpa memahami keterkaitan konsep dengan fenomena kehidupan sehari-hari. Kondisi tersebut menunjukkan perlunya bahan ajar digital yang mampu mendorong keterlibatan aktif, pemahaman konseptual, serta kemampuan pemecahan masalah. Penelitian ini bertujuan mengembangkan modul digital berbasis pendekatan Deep Learning dengan model Problem Based Learning (PBL) pada materi Gelombang Bunyi untuk murid kelas XI SMA serta mengetahui tingkat kelayakannya sebagai bahan ajar. Penelitian menggunakan metode Research and Development (R&D) dengan model pengembangan ADDIE yang dibatasi hingga tahap pengembangan. Modul yang dikembangkan memuat komponen pembelajaran terintegrasi, meliputi petunjuk penggunaan, capaian pembelajaran, alur tujuan pembelajaran, profil modul, matriks pendekatan Deep Learning dengan model PBL, peta konsep, kegiatan pembelajaran, materi Gelombang Bunyi, contoh soal, lembar kerja murid, evaluasi formatif, refleksi, rangkuman, glosarium, dan daftar pustaka. Kelayakan modul dinilai melalui validasi oleh ahli media, ahli materi, dan ahli pembelajaran, serta uji penggunaan oleh guru fisika dan murid pada perorangan maupun kelompok kecil. Hasil penelitian menunjukkan bahwa modul memperoleh kategori "Sangat Layak" dari para validator, sedangkan hasil uji penggunaan oleh guru dan murid memperoleh kategori "Sangat Baik". Dengan demikian, modul digital berbasis pendekatan Deep Learning dengan model Problem Based Learning pada materi Gelombang Bunyi dinyatakan layak digunakan sebagai bahan ajar mandiri untuk mendukung pembelajaran fisika di sekolah.*****Physics learning on sound waves continues to face challenges because students tend to memorise formulas without understanding the relationship between concepts and phenomena encountered in everyday life. This condition indicates the need for digital teaching materials that can promote active engagement, conceptual understanding, and problem-solving skills. This study aimed to develop a digital module based on the Deep Learning approach and the Problem Based Learning (PBL) model for sound waves for Year 11 senior high school students and to determine its feasibility as a teaching material. The study employed the Research and Development (R&D) method using the ADDIE development model which is limited to the development stage. The developed module contains integrated learning components, including instructions for use, learning outcomes, a learning objective sequence, a module profile, the integration of the Deep Learning approach with the PBL model, a concept map, learning activities, sound-wave materials, worked examples, student worksheets, formative assessments, reflections, summaries, a glossary, and references. The module's feasibility is assessed through validation by media experts, material experts, and learning experts, as well as testing by physics teachers and students, both individually and in small groups. The results showed that the module was rated as “Highly Feasible” by the validators, while the user trials involving the teacher and students yielded a “Very Good” rating. Therefore, the digital module based on the Deep Learning approach and the Problem Based Learning model for sound waves was considered feasible for use as an independent learning resource to support physics learning at school.

Item Type:	Thesis (Sarjana)
Additional Information:	1). Prof. Dr. I Made Astra, M.Si. 2). Dr. Hadi Nasbey, S.Pd., M.Si.
Subjects:	Pendidikan > Media Pembelajaran Sains > Fisika
Divisions:	FMIPA > S1 Pendidikan Fisika
Depositing User:	Users 35748 not found.
Date Deposited:	11 Aug 2026 03:41
Last Modified:	11 Aug 2026 03:41
URI:	http://repository.unj.ac.id/id/eprint/69601

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