Jurnal Informatika Terpadu
Vol 12 No 1 (2026): Maret, 2026

Sistem Pendukung Keputusan untuk Deteksi Dini Faktor Risiko Stunting pada Ibu Hamil dengan Metode SAW

Poernareksa, Dwidya (Unknown)
Wardhina, Faizah (Unknown)
Hasanah, Uswatun (Unknown)
Ramadhaningsih, Ledy (Unknown)



Article Info

Publish Date
22 Apr 2026

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.

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Journal Info

Abbrev

jit

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Education

Description

Jurnal Informatika Terpadu memuat jurnal ilmiah di bidang Ilmu Komputer, Sistem Informasi dan Teknik Informatika. Jurnal Informatika Terpadu diterbitkan oleh LPPM STT Nurul Fikri dengan periode dua kali dalam setahun, yakni pada bulan Maret dan ...