Stone, D. E., & Zheng, G. (2014). Learning management systems in a changing environment. In Handbook of research on education and technology in a changing society, 756–767. IGI Global. Doi:10.4018/978-1-4666-6046-5.ch056.
Geng, S., Law, K. M. Y., & Niu, B. (2019). Investigating self-directed learning and technology readiness in blending learning environment. International Journal of Educational Technology in Higher Education, 16(17), 1–22. Doi:10.1186/s41239-019-0147-0.
Cai, S., Chiang, F.-K., Sun, Y., Lin, C., & Lee, J. J. (2017). Applications of augmented reality-based natural interactive learning in magnetic field instruction. Interactive Learning Environments, 25(6), 778–791. Doi:10.1080/10494820.2016.1181094.
Whitelegg, E., & Parry, M. (1999). Real-life contexts for learning physics: meanings, issues and practice. Physics Education, 34(2), 68. Doi:10.1088/0031-9120/34/2/014.
Fajari, L. E. W. (2020). Student critical thinking skills and learning motivation in elementary students. Journal of Physics: Conference Series, 1440(1), 12104. Doi:10.1088/1742-6596/1440/1/012104.
Hochberg, K., Kuhn, J., & Müller, A. (2018). Using smartphones as experimental tools—effects on interest, curiosity, and learning in physics education. Journal of Science Education and Technology, 27(5), 385–403. Doi:10.1007/s10956-018-9731-7.
Lockridge, G., Dzwonkowski, B., Nelson, R., & Powers, S. (2016). Development of a low-cost arduino-based sonde for coastal applications. Sensors, 16(4), 528. Doi:10.3390/s16040528.
Pratidhina, E., Rosana, D., Kuswanto, H., & Dwandaru, W. S. B. (2021). Using Arduino and online block-structured programing language for physics practical work. Physics Education, 56(5), 55028. Doi:10.1088/1361-6552/ac12a6.
Hadiati, S., Kuswanto, H., Rosana, D., & Pramuda, A. (2019). The effect of laboratory work style and reasoning with Arduino to improve scientific attitude. International Journal of Instruction, 12(2), 321–336. Doi:10.29333/iji.2019.12221a.
Çoban, A., & Çoban, N. (2020). Using Arduino in physics experiments: determining the speed of soundin air. Physics Education, 55(4), 43005. Doi:10.1088/1361-6552/ab94d6.
Hani, U., Azzadina, I., Sianipar, C. P. M., Setyagung, E. H., & Ishii, T. (2012). Preserving cultural heritage through creative industry: A lesson from Saung Angklung Udjo. Procedia Economics and Finance, 4, 193–200. Doi:10.1016/S2212-5671(12)00334-6.
Ramadhan, R. H., Ratnaningtyas, L., Kuswanto, H., & Wardani, R. (2019). Analysis of Physics Aspects of Local Wisdom: Long Bumbung (Bamboo Cannon) in Media Development for Android-Based Physics Comics in Sound Wave Chapter. Journal of Physics: Conference Series, 1397(1). Doi:10.1088/1742-6596/1397/1/012016.
Arslan, K., & Tanel, Z. (2021). Analyzing the effects of Arduino applications on students’ opinions, attitude and self-efficacy in programming class. Education and Information Technologies, 26(1), 1143–1163. Doi:10.1007/s10639-020-10290-5.
Badamasi, Y. A. (2014). The working principle of an Arduino. 2014 11th International Conference on Electronics, Computer and Computation (ICECCO), 1–4. Doi:10.1109/ICECCO.2014.6997578.
Siswanto, W. A., Tam, L., & Kasron, M. Z. (2012). Sound characteristics and sound prediction of the traditional musical instrument the three-rattle angklung. International Journal of Acoustics and Vibration, Inst Acoustics & Vibration Auburn Univ, Mechanical Engineering Dept, 270 Ross Hall, Auburn, AL 36849 USA, 17, 120–126. Doi:10.20855/ijav.2012.17.3306.
Zainal, M. R. M., Samad, S. A., Hussain, A., & Azhari, C. H. (2009). Pitch and timbre determination of the angklung. American Journal of Applied Sciences, 6(1), 24.
Anwar, K., Rusdiana, D., Kaniawati, I., & Viridi, S. (2020). Teaching wave concepts using traditional musical instruments and free software to prepare prospective skillful millennial physics teachers. Journal of Physics: Conference Series, 1521(2), 22056. Doi:10.1088/1742-6596/1521/2/022056.
Rahmat, A. D., Kuswanto, H., Wilujeng, I., & Pratidhina, E. (2023). Improve critical thinking skills using traditional musical instruments in science learning. International Journal of Evaluation and Research in Education, 12(4), 2165–2175. Doi:10.11591/ijere.v12i4.25753.
Arifin, P., & Pribadi, I. (2019). Modeling of angklung to determine its pitch frequency. Acoustical Science and Technology, 40(3), 178–185. Doi:10.1250/ast.40.178.
Hernández, M. I., Couso, D., & Pintó, R. (2012). The Analysis of Students’ Conceptions as a Support for Designing a Teaching/Learning Sequence on the Acoustic Properties of Materials. Journal of Science Education and Technology, 21(6), 702–712. Doi:10.1007/s10956-011-9358-4.