From Usability to Strategy: Enhancing Higher Education Website Quality through a Data-Driven Evaluation Using WebQual 4.0 and Importance-Performance Analysis

In the era of digital transformation, academic websites play a crucial role in facilitating communication, supporting academic functions, and promoting institutional transparency. This study assesses the quality of a faculty website at a public university in Surabaya, East Java, Indonesia, from the users’ perspective. Utilizing the WebQual 4.0 framework, the research evaluates three key dimensions—usability, information quality, and interaction quality—to determine how effectively the website supports academic activities. To better prioritize areas for improvement, the study incorporates Importance-Performance Analysis (IPA), which helps identify website attributes that are both important to users and currently underperforming. The findings provide an overview of users' perceptions of website effectiveness, highlight aspects that require strategic focus, and offer direction for future enhancements. This research adds to the body of knowledge on digital service quality in higher education by presenting a combined methodological approach that emphasizes user experience. The results offer practical recommendations for university administrators, web developers, and IT teams in optimizing academic websites to better support teaching, learning, and accreditation processes. The study underscores the significance of user-centered design in improving digital services and institutional performance within the higher education context.

Authors

Institutions

Publication Details

Journal
JURNAL TEKNOLOGI DAN OPEN SOURCE
Published
2024-12-26
DOI
https://doi.org/10.36378/jtos.v7i2.3858
Citations
1
Primary Topic
Information Retrieval and Data Mining
Type
article
Field-Weighted Citation Impact
0.78
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

From Usability to Strategy: Enhancing Higher Education Website Quality through a Data-Driven Evaluation Using WebQual 4.0 and Importance-Performance Analysis

Anita Safitri, Nunik Dwi Kusumawati, Aprillia Nilasari
1 citations
JURNAL TEKNOLOGI DAN OPEN SOURCE
Information Retrieval and Data Mining
0.78
article

From Usability to Strategy: Enhancing Higher Education Website Quality through a Data-Driven Evaluation Using WebQual 4.0 and Importance-Performance Analysis

Anita Safitri, Nunik Dwi Kusumawati, Aprillia Nilasari
article en
1 citations

Abstract

In the era of digital transformation, academic websites play a crucial role in facilitating communication, supporting academic functions, and promoting institutional transparency. This study assesses the quality of a faculty website at a public university in Surabaya, East Java, Indonesia, from the users’ perspective. Utilizing the WebQual 4.0 framework, the research evaluates three key dimensions—usability, information quality, and interaction quality—to determine how effectively the website supports academic activities. To better prioritize areas for improvement, the study incorporates Importance-Performance Analysis (IPA), which helps identify website attributes that are both important to users and currently underperforming. The findings provide an overview of users' perceptions of website effectiveness, highlight aspects that require strategic focus, and offer direction for future enhancements. This research adds to the body of knowledge on digital service quality in higher education by presenting a combined methodological approach that emphasizes user experience. The results offer practical recommendations for university administrators, web developers, and IT teams in optimizing academic websites to better support teaching, learning, and accreditation processes. The study underscores the significance of user-centered design in improving digital services and institutional performance within the higher education context.

JURNAL TEKNOLOGI DAN OPEN SOURCEVol. 7(2)
Universitas Negeri Surabaya (ID)
Openalex Percentile: Top 16%
Information Retrieval and Data Mining
0.78
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.