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All Journal Advance Sustainable Science, Engineering and Technology (ASSET)
Vetriselvan Subramaniyan
Sunway University
Chemistry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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SI-GEMBUL: A Mobile Nutrition Information System to Strengthen Early Childhood Stunting Detection in Indonesia Vilda Ana Veria Setyawati; Eti Rimawati; Agung Wardoyo; Ririn Nurmandhani; Muhammad Iqbal; Sylvia Anjani; Bambang Agus Herlambang; Vetriselvan Subramaniyan
Advance Sustainable Science Engineering and Technology Vol. 8 No. 4 (2026): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i4.2883

Abstract

Delays in reporting anthropometric data from integrated health posts (Posyandu) to community health centers (Puskesmas) remain a major challenge in Indonesia’s nutrition surveillance system. Existing national applications, such as e-PPGBM and WHO AnthroPlus, are limited to Puskesmas users, restricting early stunting detection at the community level. This study aimed to develop and evaluate a toddler integrated nutrition information system (SI-GEMBUL) as an Android-based application to improve timeliness and accuracy of data reporting. This research employed the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) model. Stakeholders included Posyandu cadres, nutrition officers, and system developers. The application’s functionality was validated through Black-Box Testing, while user implementation involved 44 cadres across several Posyandu within the Halmahera Health Center area of Semarang. The SI-GEMBUL application was successfully developed with four core features: anthropometric data entry, automatic Z-score calculation based on WHO standards, stunting education modules, and direct data transfer to Puskesmas. Implementation demonstrated 100% functional validity and improved reporting timeliness from an average of one week to less than one day. SI-GEMBUL provides an effective, community-based digital solution to strengthen early detection of stunting. 
Co-Authors Agung Wardoyo Bambang Agus herlambang Eti Rimawati Muhammad Iqbal Ririn Nurmandhani Sylvia Anjani Vilda Ana Veria Setyawati