Penentuan Nilai Koefisien Restitusi Kelereng Kaca menggunakan Metode Pencitraan Jeda Waktu Sederhana

  • Mahendra Kusuma Nugraha Universitas Sam Ratulangi
    (ID)
  • Ernawatil Gani Universitas Sam Ratulangi
    (ID)
  • Berton Maruli Siahaan Universitas Sam Ratulangi
    (ID)
  • Afrioni Roma Rio Universitas Sam Ratulangi
    (ID)
Keywords: marble, maximum height, restiution coefficient, time-lapse imaging., time-lapse imaging

Abstract

Time-lapse imaging has been performed to observe the physical phenomena of imperfect elastic collisions between a glass marble and a tiled floor surface. The glass marble is dropped at a certain height until it hits the floor and experiences repeated rebounds. The event was recorded using the Infinix® Hot S3 smartphone device camera with a shutter speed of 30 frames per second. Analysis of time lapse photography is then carried out using the frame splitting method which is then observed visually to determine the height of each reflection that occurs. The results of the analysis and measurement of the maximum height for the initial state, the first bounce state and the second bounce state are respectively: 15.7 cm, 13.65 cm and 11.45 cm. The coefficient of restitution of glass marbles—based on the data obtained—at the initial maximum height (  towards the first reflection ( ) is ± 0.93242 and the first reflection ( ) towards the second reflection ( ) is equal to. ±0.91587. These results prove that the interaction that occurs is an imperfect elastic collision interaction due to .

Keywords: marble, maximum height, restiution coefficient, time-lapse imaging.

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References

M. A. A. Mursalim, D. Atmajaya, and E. I. Alwi, “Pengembangan alat bantu timelapse photography berbasis Arduino,” Bul. Sist. Inf. dan Teknol. Islam, vol. 2, no. 1, pp. 17–20, 2021, doi: 10.33096/busiti.v2i1.718.

C. Kienholz et al., “Tracking icebergs with time-lapse photography and sparse optical flow, LeConte Bay, Alaska, 2016-2017.,” J. Glaciol., vol. 65, no. 250, pp. 195–211, 2019, doi: 10.1017/jog.2018.105.

R. Kenner, M. Phillips, P. Limpach, J. Beutel, and M. Hiller, “Monitoring mass movements using georeferenced time-lapse photography: Ritigraben rock glacier, western Swiss Alps,” Cold Reg. Sci. Technol., vol. 145, pp. 127–134, 2018, doi: 10.1016/j.coldregions.2017.10.018.

L. Persohn, “Exploring time-lapse photography as a means for qualitative data collection,” Int. J. Qual. Stud. Educ., vol. 28, no. 5, pp. 501–513, 2015, doi: 10.1080/09518398.2014.915999.

J. Revuelto, T. Jonas, and J. I. López-Moreno, “Backward snow depth reconstruction at high spatial resolution based on time-lapse photography,” Hydrol. Process., vol. 30, no. 17, pp. 2976–2990, 2016, doi: 10.1002/hyp.10823.

L. Gao, J. Liang, C. Li, and L. V. Wang, “Single-shot compressed ultrafast photography at one hundred billion frames per second,” Nature, vol. 516, no. 729, pp. 74–77, 2014, doi: 10.1038/nature14005.

M. Vollmer and K. P. Möllmann, “Slow speed - Fast motion: Time-lapse recordings JFT | 134

Mahendra et al. / JFT: Jurnal Fisika dan Terapannya (2023) Vol. 10 (2): 127 - 135 JFT | 129

in physics education,” Phys. Educ., vol. 53, no. 3, 2018, doi: 10.1088/1361-6552/aaa954.

J. Yang, M. W. Park, P. A. Vela, and M. Golparvar-Fard, “Construction performance monitoring via still images, time-lapse photos, and video streams: Now, tomorrow, and the future,” Adv. Eng. Informatics, vol. 29, no. 2, pp. 211–224, 2015, doi: 10.1016/j.aei.2015.01.011.

R. H. Vera, E. Schwan, N. Fatsis-Kavalopoulos, and J. Kreuger, “A modular and affordable time-lapse imaging and incubation system based on 3D-printed parts, a smartphone, and off-the-shelf electronics.,” PLoS One, vol. 11, no. 12, pp. 1–15, 2016, doi: 10.1371/journal.pone.0167583.

L. F. Urbano, P. Masson, M. Vermilyea, and M. Kam, “Automatic Tracking and Motility Analysis of Human Sperm in Time-Lapse Images,” IEEE Trans. Med. Imaging, vol. 36, no. 3, pp. 792–801, 2017, doi: 10.1109/TMI.2016.2630720.

A. A. Chen, L. Tan, V. Suraj, R. Reijo Pera, and S. Shen, “Biomarkers identified with time-lapse imaging: Discovery, validation, and practical application,” Fertil. Steril., vol. 99, no. 4, pp. 1035–1043, 2013, doi: 10.1016/j.fertnstert.2013.01.143.

N. Kramer and E. Wohl, “Estimating fluvial wood discharge using time-lapse photography with varying sampling intervals,” Earth Surf. Process. Landforms, vol. 39, no. 6, pp. 844–852, 2014, doi: 10.1002/esp.3540.

F. De Pascalis, P. M. Collins, and J. A. Green, “Utility of time-lapse photography in studies of seabird ecology.,” PLoS One, vol. 13, no. 12, pp. 1–17, 2018, doi: 10.1371/journal.pone.0208995.

N. P. Huffeldt and F. R. Merkel, “Remote time-lapse photography as a monitoring tool for colonial breeding seabirds: A case study using thick-billed murres (Uria lomvia),”Waterbirds, vol. 36, no. 3, pp. 330–341, 2013, doi: 10.1675/063.036.0310.

E. Huintjes et al., “Evaluation of a Coupled Snow and Energy Balance Model for Zhadang Glacier, Tibetan Plateau, Using Glaciological Measurements and TimeLapse Photography,” Arctic, Antarct. Alp. Res., vol. 47, no. 3, pp. 573–590, 2015, doi: 10.1657/AAAR0014-073.

M. Vollmer and K. P. Möllmann, “Time-lapse videos for physics education: specific examples.,” Phys. Educ., vol. 53, no. 3, 2018, doi: 10.1088/1361-6552/aab6cf.

Published
2024-05-22
How to Cite
Mahendra Kusuma Nugraha, Ernawatil Gani, Berton Maruli Siahaan, & Afrioni Roma Rio. (2024). Penentuan Nilai Koefisien Restitusi Kelereng Kaca menggunakan Metode Pencitraan Jeda Waktu Sederhana. JFT: Jurnal Fisika Dan Terapannya, 10(2), 127-135. https://doi.org/10.24252/jft.v10i2.36479
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Artikel
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