Performance Analysis of Zalora.co.id E-commerce Website Using GTMetrix Tools
Keywords:
Performance analysis, GTMetrix, Website optimization, Speed Index, ZaloraAbstract
Websites have become strategic assets for organizations and businesses in the digital era, so their technical performance directly impacts user experience, conversion rates, and search engine rankings. Slow page load times caused by large file sizes, unoptimized images, and poor cache management are common issues. This study aims to identify the technical areas that most affect e-commerce website performance by leveraging GTMetrix as a measurement tool. The method used is a case study with a quantitative approach to the Zalora.co.id website. The variables observed include First Contentful Paint, Speed Index, Largest Contentful Paint, Time to Interactive, Total Blocking Time, Cumulative Layout Shift, page size, and number of HTTP requests. Measurement results show First Contentful Paint of 1.4 seconds, Speed Index of 1.9 seconds, Largest Contentful Paint of 1.9 seconds, and Time to Interactive of 4.7 seconds, all slower than GTMetrix recommendations. Total page size reached 2.09 MB with 129 HTTP requests, with image files dominating at 55.8%. Five main issues identified are slow server response time, missing explicit width and height attributes on images, inefficient cache policy, disabled text compression, and the absence of a Content Delivery Network. These findings emphasize that image optimization, accelerating server response, and cache management are the top priorities for improvement to enhance user comfort when accessing the website.
References
- D. S. H. Putra dan M. A. Darmawan, "Analisis Kepuasan Pengguna Sistem Informasi Administrasi Rumah Sakit (SIARS) dengan Model DeLone and McLean," Jurnal Sistem Informasi Bisnis, vol. 11, no. 1, hal. 78–85, 2021, doi: 10.21456/vol11iss1pp78-85.
- E. Sufarnap, M. Ilhami, dan J. J. Pangaribuan, "Analisis dan Perancangan Sistem Informasi Penjualan pada Toko XYZ," Jurnal Pendidikan dan Teknologi Indonesia, vol. 2, no. 2, hal. 170–176, 2022.
- V. Apriana dan U. Nurhasanah, "Implementasi Metode Waterfall Pada Sistem Informasi Penjualan Berbasis Web," Artikel Ilmiah Sistem Informasi Akuntansi (AKASIA), vol. 1, no. 2, hal. 106–111, Okt. 2021.
- H. Yakub, B. Daniawan, A. Wijaya, dan L. Damayanti, "Sistem Informasi E-Commerce Berbasis Website Dengan Metode Pengujian User Acceptance Testing," JSITIK, vol. 2, no. 2, Jun. 2024, doi: 10.53624/jsitik.v2i2.362.
- F. A. K. P. G. Sutapa et al., "A Review of Automated Testing Approach for Software Regression Testing," IOP Conf. Ser.: Mater. Sci. Eng., vol. 846, 012042, 2020.
- Z. Hafizh, W. H. N. Putra, dan H. M. Azzahra, "Perancangan User Experience Sistem Konversi Mata Kuliah Dan Pengakuan SKS Pada Kegiatan MBKM Menggunakan Human-Centered Design," JUST-SI, vol. 5, no. 2, hal. 75–88, Des. 2023.
- GTmetrix, "Lighthouse Performance Metrics How to interpret your scores," GTmetrix Documentation. https://gtmetrix.com/blog/ (diakses 10 Juli 2024).
