Studi Komparatif Performa Framework Javascript Modern dalam Pengembangan Aplikasi Web
DOI:
https://doi.org/10.62951/modem.v2i4.239Keywords:
JavaScript Framework, Web Performance, Application DevelopmentAbstract
This research conducts a comparative study on the performance of modern JavaScript frameworks - React, Angular, and Vue.js - in the context of web application development. Using an experimental approach, this study measures various performance aspects including rendering time, bundle size, page load time, and memory usage. The research method involves developing web applications using all three frameworks in different scenarios, as well as interviews with experienced developers. Results show that Vue.js excels in rendering speed and memory efficiency, React demonstrates superiority in handling large-scale dynamic updates, while Angular offers a robust structured architecture. This study also reveals the importance of non-technical factors such as learning curve and community support in framework selection. In conclusion, the selection of an optimal framework should consider project-specific needs, team expertise, and long-term organizational goals. This research provides valuable insights for developers and organizations in choosing the appropriate JavaScript framework for their projects.
Downloads
References
Axza, F., Sofi’ie, F., & Qoiriah, A. (2023). Analisis Perbandingan Framework Front-End Javascript React dan Vue Pada Pengembangan Website. Journal of Informatics and Computer Science, 05, 157–164.
Chen et al. (2021). On Rest-from-Deliberate-Learning as a Mechanism for the Spacing Effect: Commentary on Chen et al. (2021). Educational Psychology Review, 34. https://doi.org/10.1007/s10648-022-09663-8
Fernández-Villamor, J., Díaz-Casillas, L., & Iglesias, C. (2022). A comparison model for agile web frameworks. In EATIS 2008 - Proceedings of the 2008 Euro American Conference on Telematics and Information Systems. https://doi.org/10.1145/1621087.1621101
Ivanov, D. (2023). Digital Supply Chain Management and Technology to Enhance Resilience by Building and Using End-to-End Visibility During the COVID-19 Pandemic. IEEE Transactions on Engineering Management, PP. https://doi.org/10.1109/TEM.2021.3095193
Kozlov et al. (2023). ‘Disruptive’ science has declined — and no one knows why. Nature, 613. https://doi.org/10.1038/d41586-022-04577-5
Kurniasih, I., & Pibriana, D. (2021). Pengaruh Kepuasan Pengguna Aplikasi Belanja Online Berbasis Mobile Menggunakan Metode EUCS. JATISI (Jurnal Teknik Informatika Dan Sistem Informasi), 8(1), 181–198. https://doi.org/10.35957/jatisi.v8i1.787
Li et al. (2024). Determination of Elastoplastic Properties of 2024 Aluminum Alloy Using Deep Learning and Instrumented Nanoindentation Experiment. Acta Mechanica Solida Sinica, 1–13. https://doi.org/10.1007/s10338-023-00382-3
Martinez et al. (2021). Magalhaes et al (Martinez) 2023. Cell and Tissue Research.
Metekohy, A., Rotikan, R., Sihotang, J., Adam, S., Simarmata, J., Murpratiwi, S., Febri, H., Saputra, M., Akram, H., Muhammad, R., Penerbit, S., & Menulis, Y. (2024). Pengantar Teknologi Digital: Web dan Mobile Teknologi.
Mulana, L., Prihandani, K., Rizal, A., Singaperbanga, U., & Abstract, K. (2022). Analisis Perbandingan Kinerja Framework Codeigniter Dengan Express.Js Pada Server RESTful Api. Jurnal Ilmiah Wahana Pendidikan, 8(16), 316–326. https://doi.org/10.5281/zenodo.7067707
Patel et al. (2023). Non-linear behavior of castellated beams consisting hexagonal and diamond openings using CFRP stiffeners. Asian Journal of Civil Engineering, 25, 1–12. https://doi.org/10.1007/s42107-024-01075-z
Pereira, L., Davies, K., Belder, E., Ferrier, S., Karlsson-Vinkhuyzen, S., Kim, H., Kuiper, J., Okayasu, S., Palomo, M., Peterson, G., Sathyapalan, J., Schoolenberg, M., Alkemade, R., Ribeiro, S., Greenaway, A., Hauck, J., King, N., Lazarova, T., & Lundquist, C. (2020). Developing multiscale and integrative nature–people scenarios using the Nature Futures Framework. People and Nature, 2. https://doi.org/10.1002/pan3.10146
Wong, R., Harrigan, P., Ca, R., Blencowe, B., & Branch, D. (2024). Wong et al. (2020) Peer Review History - Revision 1: Author Response. https://doi.org/10.1371/journal.ppat.1008307.r003
Yang et al. (2022). Pegaruh Kompensasi Terhadap Kinerja Karyawan Yang Dimediasi Oleh Kepuasan Kerja Dan Motivasi Karyawan di Perusahaan Manufaktur. Jurnal Ilmiah MEA, 6(2), 1860–1880.
Zhang et al. (2022). Distantly Supervised Document-Level Biomedical Relation Extraction with Neighborhood Knowledge Graphs. https://doi.org/10.18653/v1/2023.bionlp-1.33
Zhang et al. (2024). Distantly Supervised Document-Level Biomedical Relation Extraction with Neighborhood Knowledge Graphs. https://doi.org/10.18653/v1/2023.bionlp-1.33
Axza, F., Sofi’ie, F., & Qoiriah, A. (2023). Analisis Perbandingan Framework Front-End Javascript React dan Vue Pada Pengembangan Website. Journal of Informatics and Computer Science, 05, 157–164.
Chen et al. (2021). On Rest-from-Deliberate-Learning as a Mechanism for the Spacing Effect: Commentary on Chen et al. (2021). Educational Psychology Review, 34. https://doi.org/10.1007/s10648-022-09663-8
Fernández-Villamor, J., Díaz-Casillas, L., & Iglesias, C. (2022). A comparison model for agile web frameworks. In EATIS 2008 - Proceedings of the 2008 Euro American Conference on Telematics and Information Systems. https://doi.org/10.1145/1621087.1621101
Ivanov, D. (2023). Digital Supply Chain Management and Technology to Enhance Resilience by Building and Using End-to-End Visibility During the COVID-19 Pandemic. IEEE Transactions on Engineering Management, PP. https://doi.org/10.1109/TEM.2021.3095193
Kozlov et al. (2023). ‘Disruptive’ science has declined — and no one knows why. Nature, 613. https://doi.org/10.1038/d41586-022-04577-5
Kurniasih, I., & Pibriana, D. (2021). Pengaruh Kepuasan Pengguna Aplikasi Belanja Online Berbasis Mobile Menggunakan Metode EUCS. JATISI (Jurnal Teknik Informatika Dan Sistem Informasi), 8(1), 181–198. https://doi.org/10.35957/jatisi.v8i1.787
Li et al. (2024). Determination of Elastoplastic Properties of 2024 Aluminum Alloy Using Deep Learning and Instrumented Nanoindentation Experiment. Acta Mechanica Solida Sinica, 1–13. https://doi.org/10.1007/s10338-023-00382-3
Martinez et al. (2021). Magalhaes et al (Martinez) 2023. Cell and Tissue Research.
Metekohy, A., Rotikan, R., Sihotang, J., Adam, S., Simarmata, J., Murpratiwi, S., Febri, H., Saputra, M., Akram, H., Muhammad, R., Penerbit, S., & Menulis, Y. (2024). Pengantar Teknologi Digital: Web dan Mobile Teknologi.
Mulana, L., Prihandani, K., Rizal, A., Singaperbanga, U., & Abstract, K. (2022). Analisis Perbandingan Kinerja Framework Codeigniter Dengan Express.Js Pada Server RESTful Api. Jurnal Ilmiah Wahana Pendidikan, 8(16), 316–326. https://doi.org/10.5281/zenodo.7067707
Patel et al. (2023). Non-linear behavior of castellated beams consisting hexagonal and diamond openings using CFRP stiffeners. Asian Journal of Civil Engineering, 25, 1–12. https://doi.org/10.1007/s42107-024-01075-z
Pereira, L., Davies, K., Belder, E., Ferrier, S., Karlsson-Vinkhuyzen, S., Kim, H., Kuiper, J., Okayasu, S., Palomo, M., Peterson, G., Sathyapalan, J., Schoolenberg, M., Alkemade, R., Ribeiro, S., Greenaway, A., Hauck, J., King, N., Lazarova, T., & Lundquist, C. (2020). Developing multiscale and integrative nature–people scenarios using the Nature Futures Framework. People and Nature, 2. https://doi.org/10.1002/pan3.10146
Wong, R., Harrigan, P., Ca, R., Blencowe, B., & Branch, D. (2024). Wong et al. (2020) Peer Review History - Revision 1: Author Response. https://doi.org/10.1371/journal.ppat.1008307.r003
Yang et al. (2022). Pegaruh Kompensasi Terhadap Kinerja Karyawan Yang Dimediasi Oleh Kepuasan Kerja Dan Motivasi Karyawan di Perusahaan Manufaktur. Jurnal Ilmiah MEA, 6(2), 1860–1880.
Zhang et al. (2022). Distantly Supervised Document-Level Biomedical Relation Extraction with Neighborhood Knowledge Graphs. https://doi.org/10.18653/v1/2023.bionlp-1.33
Zhang et al. (2024). Distantly Supervised Document-Level Biomedical Relation Extraction with Neighborhood Knowledge Graphs. https://doi.org/10.18653/v1/2023.bionlp-1.33
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Modem : Jurnal Informatika dan Sains Teknologi.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
