Artificial Intelligence to Hone Musical Ability in Music Learning At the Junior High School Level

Hana Permata Heldisari

Abstract


The existence of Artificial Intelligence (AI) tools still offers many benefits and advantages. Various  AI tools in the music field such as Soundful, AIVA, Ecrett Music, and Boomy have been proven to help produce a composition but reap pros and cons around copyright as well as the creative process of the creator. This research aims to find out how to use AI in music learning without eliminating creativity or essence from creating a work. This study uses a qualitative approach, namely exploratory research with a type of case study using the Miles and Huberman analysis model, namely data collection, data reduction, data presentation, and conclusion drawn. The object of this study is AIVA as one of the AI products in the field of music. The subjects of this study are 30 students in grade IX of SMP SMPN 6 Yogyakarta. Data collection using in depth interview techniques, non-participant observations, and documentation so that it will be validated using triangulation techniques. Meanwhile, secondary data sources are obtained through documentation in the form of product results using AI. The results of this study state that learning using AI also emphasizes students' skills in the aspect of musical ability from the Music Aptitude Profile (MAP) by Gordon, namely tonal imagery (melody and harmony), rhythm imagery (tempo and meter), and musical sensitivity (phrasing, balance, and style). The learning results obtained produce more creative and harmonious songs because they provide direct experience related to the sensitivity of tone to chords and rhythms produced by AIVA.

Keywords


AIVA; music; SMP; musical ability

Full Text:

PDF

References


Creswell, J. W. (2020). Penelitian Kualitatif & Desain Riset: Memilih di Antara Lima Pendekatan. In Mycological Research.

Dai, D. D. (2021). Artificial Intelligence Technology Assisted Music Teaching Design. Scientific Programming, 2021. https://doi.org/10.1155/2021/9141339

Hakim, L. (2022). Peranan Kecerdasan Buatan (Artificial Intelligence) dalam Pendidikan. Kemenristek Dirjen Guru Dan Tenaga Kependidikan.

Hanifa, H., Sholihin, A., & Ayudya, F. (2023). Peran AI Terhadap Kinerja Industri Kreatif Di Indonesia. Journal of Comprehensive Science (JCS), 2(7), 2149–2158. https://doi.org/10.59188/jcs.v2i7.446

Heldisari, H P. (2020). Kecerdasan Interpersonal Dalam Pembelajarn Musik Untuk Menciptakan Pembelajaran Yang Humanis. JUDIKA (Jurnal Pendidikan Unsika), 8(2), 157–171.

Heldisari, Hana Permata, & Astuti, K. S. (2018). Development of Learning Model Based on the Personal Source in Playing Javanese Gamelan for Children with Special Needs. The Tenth Conference on Applied Linguistics and the Second English Language Teaching and Technology Conference in Collaboration with the First International Conference on Language, Literature, Culture, and Education (CONAPLIN and ICOLLITE 2017), (1), 475–480. https://doi.org/10.5220/0007169504750480

Heldisari, Hana Permata, & Ramadhan, M. I. (2021). Development Of Pitch, Tempos, And Dynamics Learning Materials In Music Learning Based On Dalcroze Eurhythmics. Jurnal Seni Musik, 10(2), 117–123. https://doi.org/10.15294/jsm.v10i2.48332

Jiang, Q. (2022). Application of Artificial Intelligence Technology in Music Education Supported by Wireless Network. Mathematical Problems in Engineering, 2022(1), 1–11. https://doi.org/10.1155/2022/2138059

Pongtambing, Y. S., Appa, F. E., Siddik, A. M. A., Sampetoding, E. A. M., Admawati, H., Purba, A. A., … Manapa, E. S. (2023). Peluang dan Tantangan Kecerdasan Buatan Bagi Generasi Muda. Bakti Sekawan : Jurnal Pengabdian Masyarakat, 3(1), 23–28. https://doi.org/10.35746/bakwan.v3i1.362

Wall, M. P. (2018). Does School Band Kill Creativity? Embracing New Traditions in Instrumental Music. Music Educators Journal, 105(1), 51–56. https://doi.org/10.1177/0027432118787001

Webster, P. R. (2016). Creative Thinking in Music, Twenty-Five Years On. Music Educators Journal, 102(3), 26–32. https://doi.org/10.1177/0027432115623841

Weyant, E. (2022). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, 5th Edition by John W. Creswell and J. David. Journal of Electronic Resources in Medical Libraries, 19(1–2), 54–55. https://doi.org/10.1080/15424065.2022.2046231

YETTI, E., & KHAIRIAH, I. (2017). Peningkatan Kemampuan Musikalitas Melalui Bermain Alat Musik Dol. JPUD - Jurnal Pendidikan Usia Dini, 11(2), 226–237. https://doi.org/10.21009/jpud.112.03

Yu, L., & Ding, J. (2020). Application of music artificial intelligence in preschool music education. IOP Conference Series: Materials Science and Engineering, 750(1), 1–4. https://doi.org/10.1088/1757-899X/750/1/012101

Zulić, H. (2019). How AI can Change/Improve/Influence Music Composition, Performance and Education: Three Case Studies. INSAM Journal of Contemporary Music, Art and Technology, (2), 100–114. https://doi.org/10.51191/issn.2637-1898.2019.2.2.100




DOI: http://dx.doi.org/10.62870/jpks.v10i2.31823

Refbacks

  • There are currently no refbacks.


View My Stats
  • Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License. Copyright @Universitas Sultan Ageng Tirtayasa. All right reserved p-ISSN 2503-4626 | e-ISSN 2528-2387