Implementing and Analyzing Web Performance Testing for Universitas Terbuka’s Website with GTMetrix and Pingdom

A higher education institution's website allows lecturers and students to search for necessary information online. Good web performance is essential to provide better service to users. This research focuses on analyzing and testing the performance of a university website to maximize its efficiency. Performance testing measures a website's effectiveness. In this study, we analyze the website of Universitas Terbuka (UT), known for its distance learning system. The goal is to assess the website’s performance using testing tools like GTMetrix and Pingdom, which automatically analyze web performance. These tools provide data on the website's performance, which is then processed into information about strengths, weaknesses, and potential solutions. The outcome includes a comparison of performance metrics from GTMetrix and Pingdom. This research contributes to evaluating UT’s website performance and offers insights to help developers enhance and optimize the application to the desired level.

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Publication Details

Journal
Jurnal Teknologi Sistem Informasi dan Aplikasi
Published
2024-10-31
DOI
https://doi.org/10.32493/jtsi.v7i4.45095
Primary Topic
Data Mining and Machine Learning Applications
Type
article
Field-Weighted Citation Impact
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article

Implementing and Analyzing Web Performance Testing for Universitas Terbuka’s Website with GTMetrix and Pingdom

Mayang Anglingsari Putri
Jurnal Teknologi Sistem Informasi dan Aplikasi
Data Mining and Machine Learning Applications
article

Implementing and Analyzing Web Performance Testing for Universitas Terbuka’s Website with GTMetrix and Pingdom

Mayang Anglingsari Putri
article en

Abstract

A higher education institution's website allows lecturers and students to search for necessary information online. Good web performance is essential to provide better service to users. This research focuses on analyzing and testing the performance of a university website to maximize its efficiency. Performance testing measures a website's effectiveness. In this study, we analyze the website of Universitas Terbuka (UT), known for its distance learning system. The goal is to assess the website’s performance using testing tools like GTMetrix and Pingdom, which automatically analyze web performance. These tools provide data on the website's performance, which is then processed into information about strengths, weaknesses, and potential solutions. The outcome includes a comparison of performance metrics from GTMetrix and Pingdom. This research contributes to evaluating UT’s website performance and offers insights to help developers enhance and optimize the application to the desired level.

Jurnal Teknologi Sistem Informasi dan AplikasiVol. 7(4)
Hong Kong Metropolitan University (HK)
Openalex Percentile: Top 63%
Data Mining and Machine Learning Applications
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