Expert System Quality Analysis: SORTING (Sorong Atasi Stunting) Using WebQual 4.0

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Explanatory quantitative analysis shows SORTING improves stunting awareness in underserved areas, highlighting usability and user satisfaction.

SORTING effectively improves user satisfaction in addressing stunting, with significant impacts from usability, interaction, and information quality.
Key metrics show p-values of 0.014, 0.034, and 0.043 for usability, information quality, and interaction quality, indicating strong statistical significance.
Assessment used an explanatory quantitative approach, measuring quality through the WebQual 4.0 framework, ensuring a comprehensive analysis.
The findings suggest that SORTING significantly enhances stunting awareness education, indicating a potential model for similar interventions in remote locations.

Manuhutu et al. (2025) studied this question.

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Explanatory quantitative analysis shows SORTING improves stunting awareness in underserved areas, highlighting usability and user satisfaction.