Jurnal Teknologi Informasi dan Multimedia
Vol. 7 No. 4 (2025): November

Enhancing Governance: Evaluating E-Government Service Quality and Recommendations for Improvement in Suket Kepuharjo Sub-District

Husin Husin (Program Studi Manajemen Informatika, Politeknik Negeri Jember)
Lukman Hakim (Program Studi Bisnis Digital, Politeknik Negeri Jember)
Choirul Huda (Program Studi Teknik Informatika, Politeknik Negeri Jember)



Article Info

Publish Date
23 Oct 2025

Abstract

This study evaluates the quality of e-government services in Suket Kepuharjo Sub-District using the E-GOVQUAL framework and the Importance Performance Analysis (IPA) approach. The framework includes six dimensions: ease of use, trust, functionality, reliability, content, and citizen support. Data were collected through a structured questionnaire distributed to 37 respondents, with all variables meeting validity and reliability thresholds. The results showed a mean performance score of 3.45, slightly higher than the mean importance score of 3.42, resulting in an overall average gap of +0.014. Attributes with strong performance included secure data storage (gap = +0.29), clear website structure (gap = +0.08), and help page availability (gap = +0.19). However, several critical weaknesses were identified in Quadrant I, such as user ability to navigate the website (gap = -0.38), service responsiveness (gap = -0.25), information accuracy (gap = -0.25), and application compatibility across devices (gap = -0.15). These findings indicate that while e-government services moderately meet user expectations, there remains significant room for improvement, especially in usability, responsiveness, and information reliability. The integration of E-GOVQUAL and IPA offers a comprehensive and user-centred framework to guide systematic enhancements in digital public services.

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Journal Info

Abbrev

jtim

Publisher

Subject

Computer Science & IT

Description

Cakupan dan ruang lingkup JTIM terdiri dari Databases System, Data Mining/Web Mining, Datawarehouse, Artificial Integelence, Business Integelence, Cloud & Grid Computing, Decision Support System, Human Computer & Interaction, Mobile Computing & Application, E-System, Machine Learning, Deep Learning, ...