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All Journal Jurnal Informatika Terpadu
Ramadhaningsih, Ledy
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Computer Science & IT Decision Sciences, Operations Research & Management Education

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Sistem Pendukung Keputusan untuk Deteksi Dini Faktor Risiko Stunting pada Ibu Hamil dengan Metode SAW Poernareksa, Dwidya; Wardhina, Faizah; Hasanah, Uswatun; Ramadhaningsih, Ledy
Jurnal Informatika Terpadu Vol 12 No 1 (2026): Maret, 2026
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v12i1.2774

Abstract

Stunting remains a critical public health challenge in Indonesia, with a prevalence of 21.5% according to the 2023 Indonesian Health Survey. The nutritional status of pregnant women is a pivotal factor in the prevention. This study aims to implement a Decision Support System (DSS) using the Simple Additive Weighting (SAW) method to assess the risk of Chronic Energy Deficiency (CED) in pregnant women as a proactive measure to prevent stunting. The research analyzed data from 70 pregnant women at a public health center (Puskesmas) using four clinical criteria: height (10% weight), body weight (20%), Mid-Upper Arm Circumference/MUAC (45%), and hemoglobin levels (25%). Data were collected through observation, interviews with healthcare professionals, and ANC medical record documentation, subsequently processed using the SAW algorithm for risk ranking. The implementation results identified 54 women (77.14%) at low risk, 13 (18.57%) at moderate risk, and 3 (4.29%) at high risk. The system was evaluated using a confusion matrix, which yielded a high accuracy of 96%. This system can be integrated into primary healthcare centers (Puskesmas) and integrated healthcare posts (Posyandu) to facilitate precise and rapid interventions for CED risks, effectively replacing traditional manual processes.
Co-Authors Faizah Wardhina, Faizah Poernareksa, Dwidya Uswatun Hasanah