Main Article Content

Abstract

This research explores the application of symbolic interaction theory in collaboration between producers and musicians in the digital music production process, with a focus on the AIAIQ project, which integrates artificial intelligence (AI). This research examines how AI influences symbolic interactions in the music production process, especially in interpreting musical emotions and communication dynamics. This research resulted from an empirical study using a qualitative approach; this approach was used to gain an in-depth understanding of symbolic interactionism. Data sources were obtained from observations and interviews. The results of this research show that although artificial intelligence (AI) can improve technical efficiency, it can also change the dynamics of traditional social and non-verbal communication that are important for creative collaboration. By analyzing the role of human experience in interpreting AI-generated music and changes in interaction patterns, this research highlights the limitations and challenges faced by AI in maintaining the depth of human interaction in the creative process.

Keywords

Symbolic Interactionism Artificial Intelligence Digital Music

Article Details

How to Cite
Fajriansyah, M. N., & Ardiyanti, H. (2024). Integrasi Musik digital dan Artificial Intelligence: Analisis Interaksi Simbolik Pada Proyek Musik AIAIQ. Al-Hikmah Media Dakwah, Komunikasi, Sosial Dan Kebudayaan, 15(1), 55-65. https://doi.org/10.32505/hikmah.v15i1.9263

References

  1. Ahmadi, D. (2008). Pemikiran George Herbert Mead: Pencetus Interaksionisme Simbolik. Jurnal Sosial Humaniora, 1(1).
  2. Ardianto, E. (2007). Komunikasi Antarpribadi. Simbiosa Rekatama Media.
  3. Bennett, A. (2016). Digital and Analogue Audio Production Techniques: The New Professional Sound of Pink Floyd's The Endless River. The Journal of Music Technology and Education, 9(1), 21-36. doi:10.1386/jmte.9.1.21_1
  4. Bennett, S. (2016). Digital Music Production: The Evolution of Sound in the Digital Age. Journal of Music Technology.
  5. Blumer, H. (1969). Symbolic Interactionism: Perspective and Method. Prentice-Hall.
  6. Bogdan, R. C., & Biklen, S. K. (2007). Qualitative Research for Education: An Introduction to Theories and Methods (5th ed.). Pearson Education.
  7. Brown, A., et al. (2019). AI and Music Production: Enhancing Creativity through Machine Learning. Music and AI Journal.
  8. Brown, C., Miller, J., & Jones, R. (2019). Artificial Intelligence and Music: Open Questions for Research. Journal of Music, Technology & Education, 12(3), 289-303. doi:10.1386/jmte_00011_1
  9. Cholid Nurbuko & Abu Achmadi. (2007). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Pustaka Pelajar.
  10. Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). SAGE Publications.
  11. Febridianti, D. G. A., & Pribadi, M. A. (2022). Peran Interaksi Simbolik dalam Membuat Content Marketing untuk Menciptakan Brand Engagement Media Sosial @dailysocial.id. Jurnal Komunikasi.
  12. Hadi, S. (2015). Metodologi Research. Raja Grafindo Persada.
  13. Johnson, P. (2019). AI in Music: The New Frontier. San Francisco: FutureSound.
  14. Johnson, P., & Brown, R. (2017). Exploring New Possibilities: The Role of Collaboration in Music Production. Music Studies, 25(4), 112-129.
  15. Jones, A. (2010). Symbolic Interaction and Music Production. New York: Music Press.
  16. Jones, P. (2010). Music and the Mind. Cambridge University Press.
  17. Jones, S., & Smith, T. (2018). Diverse Perspectives in Music Production Collaboration: Insights from the Field. International Journal of Music Collaboration, 7(1), 76-89.
  18. Koszewski, M., Taylor, S., & Johnson, A. (2023). Technological Innovations in Digital Audio Workstations: A Comprehensive Review. Journal of Audio Engineering Society, 71(3), 168-182. doi:10.17743/jaes.2023.0003
  19. Kusek, D., & Leonhard, G. (2005). The Future of Music: Manifesto for the Digital Music Revolution. Berklee Press.
  20. Leonard, A., et al. (2018). The Impact of Producer-Musician Collaboration on Music Quality: An Analysis. Journal of Music Production, 12(2), 45-61.
  21. McCarthy, J. (1955). A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence. AI Journal. Retrieved from http://wwwformal.stanford.edu/jmc/history/dartmouth/dartmouth.html
  22. McCarthy, J. (1955). Proposal for the Dartmouth Summer Research Project on Artificial Intelligence. Retrieved from http://wwwformal.stanford.edu/jmc/history/dartmouth/dartmouth.html
  23. Mead, G. H. (1934). Pikiran, Diri, dan Masyarakat. Penerbit PT. RajaGrafindo Persada, 2010.
  24. Morin, L., et al. (2019). Symbolic Interaction in Digital Music Production. Journal of Music and Technology, 25(3), 45-67.
  25. Nike Ardina, "Teori Interaksionisme Simbolik George Herbert Mead dan Relevansinya dalam Komunikasi", https://jurnal.untirta.ac.id/index.php/humaniora/article/view/2669
  26. Prasetyo, A. (2020). Interaksi Simbolik dalam Pemanfaatan Teknologi Finansial: Studi Pengguna OVO dan GoPay di Jakarta. Tesis.
  27. Rachmawati, L. (2020). Teori Interaksi Simbolik George Herbert Mead. https://www.academia.edu/43099355/Teori_Interaksi_Simbolik_George_Herbert_Mead
  28. Sembada, W. Y., & Vivian, S. (2020). Interaksi Simbolik Dalam Proses Pewarisan Bahasa Masyarakat Nias Kepada Generasi Z. Jurnal Komunikasi
  29. Smith, E., et al. (2019). Effective Communication in Producer-Musician Collaboration: Key Success Factors. Journal of Applied Music Collaboration, 15(3), 210-225.
  30. Smith, J. (2020). Digital Music Production Techniques. Journal of Digital Music.
  31. Soeprapto, H. (2002). Sosiologi Kontemporer. Rineka Cipta.
  32. West, R., & Turner, L. H. (2018). Pengantar Teori Komunikasi: Analisis dan Aplikasi. Jakarta: Salemba Humanika.
  33. Wexler, M., Roberts, T., & Davidson, P. (2022). Advances in Digital Audio Workstations: Enabling Remote Collaboration and AI Integration. AES E-Library. Retrieved from https://aes.org/e-lib/