Forward Chaining Expert System for Early Detection of Child Nutritional Status Based on Anthropometric Standards at UPT Puskesmas Kampung Baru

Asri Akmaliyah Syahfitri; Suendri

doi:10.56427/jcbd.v6i1.1091

Authors

Asri Akmaliyah Syahfitri Universitas Islam Negeri Sumatera Utara
Suendri Universitas Islam Negeri Sumatera Utara

DOI:

https://doi.org/10.56427/jcbd.v6i1.1091

Keywords:

Expert System, Forward Chaining, Child Nutritional Status, Early Detection, Website

Abstract

Nutritional status is a fundamental indicator of child growth, yet its management at UPT Puskesmas Kampung Baru still relies on paper-based records processed by a single officer, leaving the results inaccessible to other staff. This study aims to design a web-based expert system for early detection of the nutritional status of children aged 0 to 60 months accessible to all medical personnel. The novelty lies in the simultaneous evaluation of three anthropometric indices (BB/U, PB/U or TB/U, and BB/PB or BB/TB) through 14 If-Then rules using Forward Chaining, combined with monthly Z-score trend monitoring as the basis for early detection. The study employed the Research and Development (R&D) method with Rapid Application Development (RAD) as the system development method, implemented using the Laravel framework, PHP, and MySQL. Testing on 98 measurement data points from 17 children during January to June 2026 yielded a classification agreement of 100% across 294 classifications compared with manual calculation, and all 10 black-box test scenarios performed as expected. A monitoring illustration for two children shows that a decline in the PB/U Z-score can be observed before the nutritional status changes category. The system helps healthcare workers perform early detection more quickly, consistently, and promptly.

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