PENGEMBANGAN LEMBAR KERJA PESERTA DIDIK (LKPD) MENGGUNAKAN TRACKER VIDEO ANALYSIS BERBASIS PENDEKATAN DEEP LEARNING PADA MATERI GERAK PARABOLA

ASIA ZAVANNA WAHYUDI, . (2026) PENGEMBANGAN LEMBAR KERJA PESERTA DIDIK (LKPD) MENGGUNAKAN TRACKER VIDEO ANALYSIS BERBASIS PENDEKATAN DEEP LEARNING PADA MATERI GERAK PARABOLA. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Penelitian ini bertujuan mengembangkan Lembar Kerja Peserta Didik (LKPD) menggunakan Tracker Video Analysis berbasis pendekatan Deep Learning pada materi gerak parabola. Penelitian menggunakan metode Research and Development (R&D) dengan model ADDIE yang meliputi tahap Analysis, Design, Development, Implementation, dan Evaluation. Data penelitian diperoleh melalui angket, wawancara, lembar validasi ahli, dan angket respons pengguna. Subjek penelitian terdiri atas validator ahli, guru fisika, dan peserta didik kelas XI SMA Negeri 21 Jakarta. Hasil validasi menunjukkan persentase kelayakan sebesar 92,71% dari ahli materi, 91,25% dari ahli media, dan 92,50% dari ahli pembelajaran dengan kategori sangat layak. Hasil uji coba produk oleh guru memperoleh persentase 98,81% dan respons peserta didik sebesar 93,69% dengan kategori sangat layak. LKPD yang dikembangkan memfasilitasi peserta didik dalam memahami hubungan antara konsep, persamaan, grafik, dan fenomena gerak parabola secara lebih visual dan kontekstual. Dengan demikian, LKPD berbasis Tracker Video Analysis dan pendekatan Deep Learning sangat layak digunakan sebagai bahan ajar pendukung pembelajaran fisika pada materi gerak parabola di SMA.*****This study aimed to develop a Student Worksheet (LKPD) using Tracker Video Analysis integrated with a Deep Learning approach on projectile motion material. The study employed the Research and Development (R&D) method using the ADDIE model, which consists of the Analysis, Design, Development, Implementation, and Evaluation stages. Data were collected through questionnaires, interviews, expert validation sheets, and user response questionnaires. The research subjects consisted of expert validators, a physics teacher, and eleventh-grade students of SMA Negeri 21 Jakarta. The validation results indicated a feasibility percentage of 92.71% from the material expert, 91.25% from the media expert, and 92.50% from the learning expert, all categorized as highly feasible. The product trial conducted by the teacher obtained a percentage of 98.81%, while the student trial achieved 93.69%, both categorized as highly feasible. The developed LKPD facilitates students in understanding the relationships among concepts, equations, graphs, and projectile motion phenomena in a more visual and contextual manner. Therefore, the Tracker Video Analysis-based LKPD integrated with a Deep Learning approach is highly feasible for use as a supplementary instructional material in teaching projectile motion in senior high school physics learning.

Item Type:	Thesis (Sarjana)
Additional Information:	1). Prof. Dr. Esmar Budi, S.Si., MT. ; 2). Ely Rismawati S.Pd., M.Pfis.
Subjects:	Sains > Fisika
Divisions:	FMIPA > S1 Pendidikan Fisika
Depositing User:	Asia Zavanna Wahyudi .
Date Deposited:	13 Aug 2026 04:33
Last Modified:	13 Aug 2026 04:33
URI:	http://repository.unj.ac.id/id/eprint/68627

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