PENGEMBANGAN SISTEM AUTOMASI DEPLOYING WEBSITE ABSENSI DI KISEL INDONESIA

Authors

  • Natasya Salsabila
  • Asri Wulandari
  • Reza Yusuf Merdekantara
  • R.Tubagus Khaidir Akbar

Keywords:

Automation System, Pipeline, Deploying Website, AWS

Abstract

The increasing development of Information Technology makes companies need to optimize their performance. In its implementation, the website deployment process uses a manual method, so it takes a long time, and there is no website code version information which makes it difficult to find out the website version. To overcome this problem, an Automation System for deploying the website was created to speed up the Deployment process, Scalable Service, minimize errors, and develop monitoring of website code changes that will be used in the website presence deployment process. The results of testing the Automation System Deploying website with the standards of The Five Pillars of the Well-Architected Framework on the Operational Excellence aspect prove that the system is running well. The reliability aspect shows that the Website Deployment Automation System is reliable. In the aspect of Performance efficiency, it shows that Automation System for deploying the website is more efficient than manual Deployment websites and the system can be used to simplify the deployment process when code changes occur and create code documentation versions and the status of the website deployment process.

References

Farid, A., & Anugrah, I. G. (2021). Implementasi CI/CD Pipeline Pada Framework Androbase Dengan Menggunakan Jenkins (Studi Kasus: PT. Andromedia). Jurnal Nasional Komputasi Dan Teknologi Informasi (JNKTI), 4(6), 522–527. https://doi.org/10.32672/jnkti.v4i6.3703

Kurniawan, S., Gata, W., Puspitawati, D. A., -, N., Tabrani, M., & Novel, K. (2019). Perbandingan Metode Klasifikasi Analisis Sentimen Tokoh Politik Pada Komentar Media Berita Online. Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 3(2), 176–183. https://doi.org/10.29207/resti.v3i2.935

Light, J., Pfeiffer, P., & Bennett, B. (2021). An evaluation of continuous integration and delivery frameworks for classroom use. Proceedings of the 2021 ACMSE Conference - ACMSE 2021: The Annual ACM Southeast Conference, 204–208. https://doi.org/10.1145/3409334.3452085

Masripah, S., & Ramayanti, L. (2020). Penerapan Pengujian Alpha Dan Beta Pada Aplikasi Penerimaan Siswa Baru. Swabumi, 8(1), 100–105. https://doi.org/10.31294/swabumi.v8i1.7448

Mohammed. (2018). Streamlining DevOps automation for Cloud applications. 6(4).

Raza, M., Hussain, F. K., Hussain, O. K., Rehman, Z. ur, & Zhao, M. (2021). Imputing sentiment intensity for SaaS service quality aspects using T-nearest neighbors with correlation-weighted Euclidean distance. Knowledge and Information Systems, 63(9), 2541–2584. https://doi.org/10.1007/s10115-021-01591-3

Ter Berg, C. J. A., Leontaris, G., van den Boomen, M., Spaan, M. T. J., & Wolfert, A. R. M. (2019). Expert judgement based maintenance decision support method for structures with a long service-life. Structure and Infrastructure Engineering, 15(4), 492–503. https://doi.org/10.1080/15732479.2018.1558270

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Published

2023-01-23

How to Cite

Natasya Salsabila, Asri Wulandari, Reza Yusuf Merdekantara, & R.Tubagus Khaidir Akbar. (2023). PENGEMBANGAN SISTEM AUTOMASI DEPLOYING WEBSITE ABSENSI DI KISEL INDONESIA. Prosiding Seminar Nasional Terapan Riset Inovatif (SENTRINOV), 8(1), 494 - 501. Retrieved from https://proceeding.isas.or.id/index.php/sentrinov/article/view/1206