Article Sidebar

Submitted
May 11, 2025
Published
March 1, 2025
Download
PDF
Statistic
Read Counter : 25 Download : 10

Main Article Content

Abstract

Study of cloud computing needs in supporting Computational Physics Lectures at Bengkulu University has been conducted. The subjects of this study were students who studied computational physics and algorithms. This research aims to examine the urgency of cloud computing implementation in supporting the learning process. In this research, questionnaires were used to collect the data, which included qualitative data types. Descriptive statistics were used in describing the responses and in identifying key trends in the students' perceptions concerning the effectiveness and the necessity of cloud computing tool usage in student coursework. The result of this research showed that 30% of the students did not possess qualified devices to run numerical programming. On the other hand, most of the students have Android devices, and this means that there is a great potential for cloud computing solutions to be used in pursuit of making them better learners. The second important thing that this study has established is that most of the students showed interest in the use of cloud-based applications, which means there is a need for the resources that can be used in bridging the gap to access technologies. That suggests that there is a strong preference on the part of the students for cloud-based resources to help in collaboration and accessibility of coursework.

Keywords

Cloud Computing Python Programming Computational Physics

Article Details

License

Copyright (c) 2025 Bodi Gunawan, Diana E Cahyani

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Authors who publish in this journal agree with the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
  4. This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

• Creative Commons Attribution-ShareAlike (CC BY-SA)

Creative Commons License

AMPLITUDO: Jurnal Ilmu dan Pembelajaran Fisika is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

 

References

  1. Landau R. Computational Physics: A Better Model for Physics Education? Computing in Science & Engineering. 2006 Sep;8(5):22–30.
  2. Thijssen J. Computational Physics. 2nd ed. Cambridge: Cambridge University Press; 2007.
  3. Landau RH. Computational Physics Education; why, what and how. Computer Physics Communications. 2007 Jul;177(1):191–4.
  4. Chabay R, Sherwood B. Computational physics in the introductory calculus-based course. American Journal of Physics. 2008 Apr;76(4):307–13.
  5. Leary A, Irving PW, Caballero MD. The difficulties associated with integrating computation into undergraduate physics.; 2018 Dec. Presented at: 2018 Physics Education Research Conference Proceedings. [Diakses 2024 Agu 30]. Tersedia dari: https://www.per-central.org/items/detail.cfm?ID=14812
  6. Cook DM. Computation in undergraduate physics: The Lawrence approach. American Journal of Physics. 2008 Apr;76(4):321–6.
  7. Naved M, Sanchez DT, Dela Cruz AP, Peconcillo LB, Peteros ED, Tenerife JJL. Identifying the role of cloud computing technology in management of educational institutions. Materials Today: Proceedings. 2022 Jan;51:2309–12.
  8. Mei Y, Yao J, Kumar S P. Construction and Practice of Online Collaborative Learning Environment Based on Cloud Platform. In: 2023 International Conference on Data Science and Network Security (ICDSNS); 2023 Jul. p. 01–05.
  9. Tock K. Google CoLaboratory as a Platform for Python Coding with Students. RTSRE Proceedings. 2019 Dec;2(1):Art. no. 1. [Diakses 2024 Agu 30]. Tersedia dari: https://www.rtsre.org/index.php/rtsre/article/view/63
  10. Cai Z, Fan X, Du J. Gender and attitudes toward technology use: A meta-analysis. Computers & Education. 2017 Feb;105:1–13.
  11. Qi H, Gani A. Research on mobile cloud computing: Review, trend and perspectives. In: 2012 Second International Conference on Digital Information and Communication Technology and it’s Applications (DICTAP); 2012 May. p. 195–202.
  12. Kaur R, Singh S. Exploring the Benefits of Cloud Computing Paradigm in Education Sector. IJCA. 2015 Apr;115(7):1–3.
  13. Potgieter I, Coetzee M, Ferreira N. University students’ digital world of work readiness in relation to their employability competency. Journal of Learning Development in Higher Education. 2023 Apr;(27):Art. no. 27.
  14. AlDuhisat MH, AlKhresha HG, Al-Dmour NA, Ateeq K, Maaitah ON. Role of Cloud Computing in Education. In: 2024 2nd International Conference on Cyber Resilience (ICCR); 2024 Feb. p. 1–4.
  15. Myeonggil C. The Security Risks of Cloud Computing. In: 2019 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC); 2019 Aug. p. 330–330.
  16. Abdulnabi NL, Asaad RR. Challenges and Benefits of Cloud Computing: Comparison Study. Academic Journal of Nawroz University. 2022 Dec;11(4):Art. no. 1591.
  17. Ward BT, Sipior JC. The Internet Jurisdiction Risk of Cloud Computing. Information Systems Management. 2010 Oct;27(4):334–9.