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JOIV : International Journal on Informatics Visualization
Published by Politeknik Negeri Padang
ISSN : 25499610     EISSN : 25499904     DOI : -
Core Subject : Science,
Computer Science & IT
JOIV : International Journal on Informatics Visualization is an international peer-reviewed journal dedicated to interchange for the results of high quality research in all aspect of Computer Science, Computer Engineering, Information Technology and Visualization. The journal publishes state-of-art papers in fundamental theory, experiments and simulation, as well as applications, with a systematic proposed method, sufficient review on previous works, expanded discussion and concise conclusion. As our commitment to the advancement of science and technology, the JOIV follows the open access policy that allows the published articles freely available online without any subscription.
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Articles 51 Documents
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Search results for , issue "Vol 9, No 4 (2025)" : 51 Documents clear
Expert System Quality Analysis: SORTING (Sorong Atasi Stunting) Using WebQual 4.0 Manuhutu, Melda Agnes; Uktolseja, Lulu Jola; Manurung, Tagor
JOIV : International Journal on Informatics Visualization Vol 9, No 4 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.4.3207

Abstract

Stunting is a public health issue that frequently occurs in Indonesia, particularly in Southwest Papua, where it is exacerbated by inadequate maternal nutrition and low parental education. The SORTING's web-based platform was developed to bridge this gap by providing real-time, easily accessible information to pregnant and breastfeeding mothers to improve baby health outcomes. This study assesses the platform's usability quality, information quality, interaction quality, and user satisfaction to increase its effectiveness in underserved areas. The researchers used an explanatory quantitative approach. The structural model formulates that Y = 0.380 X1 + 0.262 X2 + 0.309 X3. The results show the significant positive impacts of these three variables X1 (usability), X2 (information), and X3 (interaction), on variable Y (satisfaction). The p-values are 0.014, 0.034, and 0.043, all below 0.05, indicating statistical significance. The key finding shows that SORTING as an expert system provides good usability, reliable information, and interactive features to enhance user satisfaction. The accessibility of SORTING allows users to assess the risk of stunting in neonates and take necessary preventive measures. The contribution from the research results is that SORTING, which has been built, implemented, and evaluated for quality, can significantly enhance stunting awareness education. This study demonstrates SORTING's ability to improve stunting awareness education in remote locations by increasing user engagement and providing actionable information. Future research should further explore user experiences using a qualitative approach.

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