Proceedings of the International Conference on Enterprise and Industrial Systems (ICOEINS 2023)

<Previous Article In Volume
Next Article In Volume>

Top 5 E-Commerce Performance Analysis Using Google Lighthouse Matrix

Authors
Ahmad Adli1, *, Titik Wihayanti2, Deden Witarsyah3
1Telkom University, Bandung, Indonesia
2Telkom University, Bandung, Indonesia
3Telkom University, Bandung, Indonesia
Corresponding Author
Ahmad Adli
Available Online 30 December 2023.
DOI
10.2991/978-94-6463-340-5_21How to use a DOI?
Keywords
E-Commerce; Website; Performance; Analysis
Abstract

In the rapidly growing digital era, many activities can be conducted through online media such as learning, working, investing, and others. In addition, technology is also expanding in our daily lives, such as in shopping, which can be achieved through direct sales by sellers and buyers. Google Lighthouse is an open-source automated audit tool to improve website quality. This tool provides a clear way to improve website quality by allowing developers to audit performance, accessibility, compatibility with Progressive Web Apps, and more. The results of this study are expected to provide real-world insights based on the matrix defined by Google Lighthouse for future improvements. From the results of the run audit conducted on the Top 5 E-Commerce, it can be seen that in terms of performance, Tokopedia received the highest score, namely 73, and a yellow index, which can be optimized again by minimizing the Total Blocking Time of 1,190ms to make it more optimal in terms of performance. It can be concluded that e-commerce website performance does not have a significant effect; therefore, e-commerce popularity is not only dependent on application performance.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the International Conference on Enterprise and Industrial Systems (ICOEINS 2023)
Series
Advances in Economics, Business and Management Research
Publication Date
30 December 2023
ISBN
978-94-6463-340-5
ISSN
2352-5428
DOI
10.2991/978-94-6463-340-5_21How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Ahmad Adli
AU  - Titik Wihayanti
AU  - Deden Witarsyah
PY  - 2023
DA  - 2023/12/30
TI  - Top 5 E-Commerce Performance Analysis Using Google Lighthouse Matrix
BT  - Proceedings of the International Conference on Enterprise and Industrial Systems (ICOEINS 2023)
PB  - Atlantis Press
SP  - 239
EP  - 248
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-340-5_21
DO  - 10.2991/978-94-6463-340-5_21
ID  - Adli2023
ER  -