Evidence map›Paper›PMID 42618585›Full record

ArticleScientific reports2026

Usability evaluation of a Halal Food Tracer information system using ISO 25023 and UWIS models.

Aries Susanty, Albila Ramadhani, Nia Budi Puspitasari, Hendro Wicaksono

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Aries SusantyDepartment of Industrial Engineering, Diponegoro University, Semarang, Central Java, Indonesia. ariessusanty@gmail.com.
Albila RamadhaniDepartment of Industrial Engineering, Diponegoro University, Semarang, Central Java, Indonesia.
Nia Budi PuspitasariDepartment of Industrial Engineering, Diponegoro University, Semarang, Central Java, Indonesia.
Hendro WicaksonoSchool of Business, Social & Decision Sciences, Constructor University Bremen gGmbH, Bremen, Germany. hwicaksono@constructor.university.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research aims to evaluate the usability of the Halal Food Tracer Information System, to examine the key factors influencing its usability from the consumer perspective, and to generate actionable insights for enhancing system performance. To achieve this objective, a new usability measurement model was developed by integrating the ISO/IEC 25023 standard and the Usability of Web-Based Information Systems (UWIS) model. Data were collected through in-field user testing, followed by questionnaire surveys to assess system usability. The user testing phase familiarized participants with the system and enabled an objective evaluation of system performance. The collected data were analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM). The user testing results indicate a high level of usability of the Halal Food Tracer Information System. Efficiency, measured by the total task completion time across four tasks, showed an average time of 159.580 s (SD = 0.357). Effectiveness, measured by the percentage of correctly completed tasks, achieved an average of 98.200% (SD = 1.730). User satisfaction, measured using a five-point Likert scale, yielded an average score of 3.610 out of 5 (SD = 0.450). Furthermore, the results indicate that learnability, accessibility, operability, and appropriateness recognizability have a significant positive effect on the overall usability index. These attributes are essential for enhancing system usability by ensuring it is efficient, easy to use, and accessible to a wide range of consumers. The findings provide actionable insights for system developers, demonstrating how usability improvements can support more effective food traceability and consumption practices. Moreover, the proposed model offers a holistic, multidimensional perspective on usability by linking measurable system quality attributes to overall usability performance indicators. This study represents a meaningful advancement in usability evaluation research, particularly in the context of halal food traceability information systems, where such an integrative framework has not previously been systematically applied.

Indexed as

Information SystemsConsumer BehaviorFemaleHumansInternetMaleSurveys and QuestionnairesHalal traceability websiteISO/IEC 25023Usability evaluationUWIS

Identifiers

PMID42618585
PMCPMC13490500

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.