MODEL DEEP LEARNING UNTUK PEMBELAJARAN NEMBANG PUPUH SUNDA DI SMP

Apon Gustana Rodia R, Dirgantara Wicaksono

Abstract


This research aims to develop a deep learning-based instructional model to enhance students’ skills in performing nembang pupuh Sunda, a traditional Sundanese vocal art form. The study was conducted at SMP Muhammadiyah Cianjur using the Research and Development (R&D) method, following the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). The product developed was an interactive mobile-based application equipped with AI-driven features for real-time voice analysis and feedback on pitch, tempo, and expressiveness. Data collection involved validation from media and content experts, teacher and student assessments, and pretest-posttest evaluation to measure learning outcomes. The model showed high feasibility and effectiveness in improving students’ vocal skills in nembang pupuh Sunda, with an N-Gain score indicating a significant increase in performance. This study demonstrates that integrating artificial intelligence with traditional arts education can foster student engagement, autonomy, and appreciation of local culture in a modern, technology-driven context. The findings offer valuable insights into preserving cultural heritage through innovative, student-centered learning approaches using deep learning technology.

Keywords : Artificial intelligence, cultural education, deep learning, nembang pupuh, Sundanese music

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References


Branch, R. M. (2009). Instructional design: The ADDIE approach. Springer.

Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. Springer.

Dewey, J. (1934). Art as Experience. Minton, Balch & Company.

Fadli, M., & Aisyah, S. (2023). Klasifikasi alat musik tradisional Papua menggunakan metode CNN. Jurnal Teknologi dan Kebudayaan, 5(2), 112–121.

Graves, A., Mohamed, A., & Hinton, G. (2013). Speech recognition with deep recurrent neural networks. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 6645–6649). IEEE. https://doi.org/10.1109/ICASSP.2013.6638947

Hake, R. R. (1999). Analyzing change/gain scores. Indiana University. http://www.physics.indiana.edu/~hake

Hariyanti, M. (2024). Deep learning pada pembelajaran “Engkong Banjit” (Best practice dari P5 RA MIN 2 Way Kanan). Prosiding Seminar Nasional Inovasi Pembelajaran, 3(1), 55–63.

Hidayat, I. F. (2022). Klasifikasi gambar alat musik tradisional Jawa Barat menggunakan metode convolutional neural network (CNN). Jurnal Informatika dan Budaya Lokal, 4(1), 22–30.

Januszewski, A., & Molenda, M. (2008). Educational technology: A definition with commentary. Routledge.

Kholis, A. N. (2023). Pengembangan media pembelajaran seni budaya berbasis kecerdasan buatan bagi siswa-siswi TK. Jurnal Teknologi Pendidikan Anak Usia Dini, 2(2), 134–140.

Koehler, M. J., & Mishra, P. (2006). What is technological pedagogical content knowledge (TPACK)? Contemporary Issues in Technology and Teacher Education, 9(1), 60–70. https://citejournal.org/volume-9/issue-1-06/general/what-is-technological-pedagogical-content-knowledge

LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436–444. https://doi.org/10.1038/nature14539

Rosidi, A. (1967). Sastra lisan Sunda. Pustaka Jaya.

Soedarsono. (2018). Seni tradisional dalam perspektif pendidikan. Penerbit Kanisius.

Sumardjo. (2018). Pendidikan musik tradisional di sekolah. Bandung: UPI Press.

Tegeh, I. M., Jampel, I. N., & Pudjawan, K. (2014). Model pembelajaran konstruktivistik dalam pendidikan. Graha Ilmu.

Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.

Wiggins, G. (1998). Educative assessment: Designing assessments to inform and improve student performance. Jossey-Bass.

Zubaidah, S. (2016). Berpikir kritis: Kompetensi yang harus diajarkan di abad 21. Prosiding Seminar Nasional Pendidikan, 2(1), 1–12.




DOI: https://doi.org/10.71312/mrbima.v1i3.481

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