Human-Computer Interaction Enhancement for Linux Cli Application using Telegram Bot Piping

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Published Aug 28, 2024
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Vol. 16 No. 02 (2024): Vol. 16 No. 02 August 2024

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Herlambang Wicaksono
Politeknik Siber dan Sandi Negara
Fadel Azzahra
Hermawan Setiawan

Abstract

This paper proposes an innovative method to enhance Human-Computer Interaction (HCI) for Linux Command Line Interface (CLI) applications by integrating Telegram bot piping. Despite the power of CLI, its complexity often deters users, particularly those less experienced with technology. We introduce a solution leveraging Telegram bots to provide a more intuitive and accessible interface for interacting with CLI tools. Users can issue commands via Telegram, receiving real-time feedback and executing tasks without extensive CLI knowledge. Our study includes design, implementation, and evaluation phases, demonstrating high user satisfaction with the Telegram bot integrated CLI applications. The approach significantly improves usability, reduces the learning curve, and broadens the accessibility of Linux systems. The user feedback indicated high satisfaction with the Telegram bot integrated CLI applications, with users finding it effective, user-friendly, and preferable over traditional CLI interfaces, with a user satisfaction score of 95.3%

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Creative Commons License

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

How to Cite
Wicaksono, H., Azzahra, F., & Setiawan, H. (2024). Human-Computer Interaction Enhancement for Linux Cli Application using Telegram Bot Piping . SAINTEKBU, 16(02), 71–79. Retrieved from https://ejournal.unwaha.ac.id/index.php/saintek/article/view/4764

References

  1. A. A. Alnuaim et al., “Human-Computer Interaction for Recognizing Speech Emotions Using Multilayer Perceptron Classifier,” J Healthc Eng, vol. 2022, pp. 1–12, Mar. 2022, doi: 10.1155/2022/6005446.
  2. I. S. MacKenzie, Human-Computer Interaction: An Empirical Research Perspective. Elsevier Science, 2024. [Online]. Available: https://books.google.co.id/books?id=f1vbEAAAQBAJ
  3. K. A. Galanis, K. C. Nastou, N. C. Papandreou, G. N. Petichakis, D. G. Pigis, and V. A. Iconomidou, “Linear B-Cell Epitope Prediction for In Silico Vaccine Design: A Performance Review of Methods Available via Command-Line Interface,” Int J Mol Sci, vol. 22, no. 6, p. 3210, Mar. 2021, doi: 10.3390/ijms22063210.
  4. I. Goldstein, “What! No GUI?,” Information Systems Education Journal, vol. 17, no. 1, p. 40, 2019.
  5. G. C. Lenardo, Herianto, and Y. Irawan, “Pemanfaatan Bot Telegram sebagai Media Informasi Akademik di STMIK Hang Tuah Pekanbaru,” JTIM : Jurnal Teknologi Informasi dan Multimedia, vol. 1, no. 4, pp. 351–357, Feb. 2020, doi: 10.35746/jtim.v1i4.59.
  6. C. Huda, F. A. Bachtiar, and A. A. Supianto, “Reporting Sleepy Driver into Channel Telegram via Telegram Bot,” in 2019 International Conference on Sustainable Information Engineering and Technology (SIET), IEEE, Sep. 2019, pp. 251–256. doi: 10.1109/SIET48054.2019.8986000.
  7. A. Alcayde García, E. Salmeron-Manzano, A. Zapata-Sierra, and F. Manzano-Agugliaro, “A TELEGRAM BOT FOR EDUCATION 4.0: ZQUIZUALBOT 4.0,” in 16th International Technology, Education and Development Conference, Mar. 2022, pp. 7288–7295. doi: 10.21125/inted.2022.1842.
  8. R. Sharrock, L. Angrave, and E. Hamonic, “WebLinux,” in Proceedings of the Fifth Annual ACM Conference on Learning at Scale, New York, NY, USA: ACM, Jun. 2018, pp. 1–2. doi: 10.1145/3231644.3231703.
  9. G. Ovando-Leon, L. Veas-Castillo, V. Gil-Costa, and M. Marin, “Bot-Based Emergency Software Applications for Natural Disaster Situations,” Future Internet, vol. 14, no. 3, p. 81, Mar. 2022, doi: 10.3390/fi14030081.
  10. J. S. H. Ong, P. R. Mohan, J. Y. Han, J. Y. Chew, and F. M. Fung, “Coding a Telegram Quiz Bot to Aid Learners in Environmental Chemistry,” J Chem Educ, vol. 98, no. 8, pp. 2699–2703, Aug. 2021, doi: 10.1021/acs.jchemed.1c00201.
  11. View of Usability Evaluation In Ruang Guru Applications Using User Experience Questionnaire (UEQ).” Available: https://www.ejournal.iocscience.org/index.php/mantik/article/view/727/484
  12. V. H. Pranatawijaya, W. Widiatry, R. Priskila, and P. B. A. A. Putra, “Penerapan Skala Likert dan Skala Dikotomi Pada Kuesioner Online,” Jurnal Sains dan Informatika, vol. 5, no. 2, pp. 128–137, Dec. 2019, doi: 10.34128/jsi.v5i2.185.
  13. E. Babbie, The Practice of Social Research fourteenth edition. Boston: Cengage Learning , 2014.
  14. R. T. C. Utomo, R. Purwoko, S. U. Sunaringtyas, and Amirrudin, “Rancang Bangun Cyber Exercise Simulasi Penanganan Insiden Siber Menggunakan Enisa Cyber Exercise Cycle,” Politeknik Siber dan Sandi Negara, 2023.