PENGEMBANGAN MEDIA PEMBELAJARAN TARI MENGGUNAKAN AUGMENTED REALITY LITERASI GERAK BERBASIS SIMBOL NOTASI LABAN UNTUK PESERTA DIDIK SMP

SITI FATMASARI, . (2026) PENGEMBANGAN MEDIA PEMBELAJARAN TARI MENGGUNAKAN AUGMENTED REALITY LITERASI GERAK BERBASIS SIMBOL NOTASI LABAN UNTUK PESERTA DIDIK SMP. Magister thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Penelitian ini bertujuan mengembangkan media pembelajaran "AR Literasi Gerak"aplikasi Android berbasis Augmented Reality (AR) dan simbol notasi Laban (adaptasi Triana et al., 2020) untuk meningkatkan literasi gerak siswa kelas VII SMP. Penelitian dilatarbelakangi oleh rendahnya literasi kognitif gerak siswa (rata-rata 43,10) dibandingkan kemampuan psikomotorik (68,68) akibat dominasi metode demonstrasi (modeling loss), di mana 85,5% siswa kesulitan memahami unsur ruang, waktu, dan tenaga, sementara 92,5% berminat tinggi terhadap AR. Menggunakan metode Research and Development (R&D) model 4D (Thiagarajan, 1974), tahap Define memetakan analisis kebutuhan, dilanjutkan tahap Design yang merancang storyboard, flowchart, serta fitur interaktif seperti Marker AR 3D, materi notasi Laban, mini games, kuis, puzzle, unggah karya, dan dashboard. Pada tahap Develop, instrumen dan produk dinyatakan sangat valid oleh ahli dengan rata-rata 95,0% dan 95,59%. Uji coba terbatas (N=40, SMPN 2 Kota Serang) mencatatkan N-Gain 88,97% (kategori tinggi) dan nilai Z Wilcoxon = −5,518 (p < 0,001). Tahap Disseminate pada 4 sekolah mitra (N=100) dan 11 guru MGMP Seni Budaya Kota Serang menunjukkan efektivitas konsisten dengan rata-rata N-Gain 86,27% (Z = −8,624, p < 0,001; rentang N-Gain 84,33%–88,27%). Hasil penelitian membuktikan bahwa media AR Literasi Gerak memenuhi tiga kriteria kualitas pengembangan Validasi instrumen (95,0%) dan produk (95,59%) berkategori sangat valid. Secara signifikan meningkatkan literasi gerak siswa secara konsisten lintas sekolah. Memperoleh respons sangat positif dari siswa uji terbatas (89,00%), siswa diseminasi (86,34%), dan guru MGMP (90,9%). Kebaruan penelitian ini terletak pada integrasi AR marker-based, simbol notasi Laban, dan pendekatan Deep Learning dalam satu aplikasi Android yang telah rilis di Google Play Store untuk pembelajaran tari SMP. ***** This study aims to develop a dance learning medium titled "AR movement literation Android application based on Augmented Reality (AR) and Laban notation symbols (adapted from Triana et al., 2020) to enhance movement literacy among 7th-grade junior high school students. The research is grounded in the low cognitive movement literacy of students (averaging 43.10) compared to their psychomotor skills (68.68) caused by the dominance of demonstration methods (modeling loss), where 85.5% of students struggle to comprehend space, time, and energy elements, while 92.5% demonstrate high interest in AR. Utilizing the Research and Development (R&D) 4D model (Thiagarajan, 1974), the Define phase mapped out the needs analysis, followed by the Design phase, which structured storyboards, flowcharts, and interactive features including 3D AR Markers, Laban notation materials, mini games, quizzes, movement notation puzzles, work uploads, and a profile dashboard. In the Develop phase, both instruments and the product were declared highly valid by experts, scoring averages of 95.0% and 95.59%, respectively. The limited trial ($N=40$, SMPN 2 Kota Serang) yielded an average N-Gain of 88.97% (high category) with a Wilcoxon test score of $Z = -5.518$ ($p < 0.001$). The Disseminate phase across 4 partner schools ($N=100$) and 11 Arts and Culture MGMP teachers in Kota Serang demonstrated consistent effectiveness, achieving an average N Gain of 86.27% ($Z = -8.624, p < 0.001$; N-Gain range 84.33% 88.27%). The findings prove that AR Literasi Gerak meets the three product quality criteria. Instrument validation (95.0%) and product validation (95.59%) fall into the highly valid category. Significantly and consistently improves students' movement literacy across multiple schools. Received highly positive responses from limited trial students (89.00%), dissemination students (86.34%), and MGMP teachers (90.9%). The novelty of this study lies in integrating marker-based AR, Laban notation symbols, and a Deep Learning approach into a single Android application available on the Google Play Store for junior high school dance education.

Item Type:	Thesis (Magister)
Additional Information:	1). Prof Dr. Dinny Devi Triana, M.Pd; 2). Dr. Jeong OK Jeon, BFA., MFA.
Subjects:	Kesenian > Seni Tari Olah Raga dan Seni Pertunjukan > Seni Pertunjukan
Divisions:	FBS > S2 Pendidikan Seni
Depositing User:	SITI FATMASARI .
Date Deposited:	29 Sep 2026 02:10
Last Modified:	29 Sep 2026 02:10
URI:	http://repository.unj.ac.id/id/eprint/73998

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