Article Per Year (5 Year)
p-Index From 2021 - 2026
2.083
P-Index
This Author published in this journals
All Journal Jurnal Pendidikan Teknologi dan Kejuruan MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Teknologi Sistem Informasi dan Aplikasi INSERT: Information System and Emerging Technology Journal Jurnal Masyarakat Madani Indonesia Jurnal ilmiah teknologi informasi Asia Smatika Jurnal : STIKI Informatika Jurnal
Trihapningsari, Denisha
Unknown Affiliation
Humanities Computer Science & IT Education Engineering Public Health Social Sciences Other

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 11 Documents
Search

 1   2 
Evaluating Website Performance Using EdgeOne as an Automated Web Assessment Tool Putri, Mayang Anglingsari; Aprijani, Dwi Astuti; Trihapningsari, Denisha; Putri Martinasari, Made Diyah; Junianto, Mochamad Bagoes Satria
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 18, No 1 (2026): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v18i1.37752

Abstract

A university website functions not only as an information portal but also as a reflection of institutional credibility and academic reputation. Therefore, maintaining website quality—particularly web performance—is essential and must be evaluated continuously. The website of the Information Systems Study Program at Universitas Terbuka was selected as the focus of this study due to its role in delivering academic information and supporting communication with stakeholders. This research evaluates the website’s web performance using EdgeOne, an automated assessment tool that measures key performance indicators such as Time to First Byte (TTFB), First Contentful Paint (FCP), Largest Contentful Paint (LCP), Speed Index, Total Blocking Time (TBT), and Page Load Time. A descriptive quantitative approach is applied to interpret the performance metrics and identify areas requiring optimization. The results show that although the website maintains stable structural functionality, several performance indicators—particularly loading speed—remain below the recommended threshold for modern web standards. These findings highlight the importance of continuous web performance monitoring and technical optimization to improve user experience and ensure the reliability of institutional digital platforms.
Co-Authors Anglingsari Putri , Mayang Anto Hidayat Aprijani, Dwi Astuti Astuti Aprijani, Dwi Dewi Agushinta R. Hapsani, Anggi Gustiningsih Hasan Basri Irpan Kusyadi Junianto, Mochamad Bagoes Satria Leviany, Fonda Lintang Yuniar Banowosari Mayang Anglingsari Putri, Mayang Anglingsari Nurdiana, Dian Paken Pandiangan Priono, Mochamad Putri Martinasari, Made Diyah Putri, Chandra Sina Unggul Utan Sufandi Wicaksono, Bagus Arif