Eksplorasi Teknologi Enterprise & Sistem Informasi (EKSTENSI)
Vol. 1 No. 1 (2022): November

Sistem Prediksi Risiko Stunting Menggunakan Bayesian Network Berbasis GIS

Rusina Widha Febriana (Universitas Anwar Medika)
Endang Setyati (Institut Sains Dan Teknologi Terpadu Surabaya)



Article Info

Publish Date
30 Nov 2022

Abstract

Stunting is one of the nutritional issues faced in the world. Stunting is a chronic nutritional problem caused by food intake that does not suit nutritional needs. Indonesia has a high commitment to stunting prevention efforts so that Indonesian children can grow and develop optimally and innovate and compete at the global level. The effort was demonstrated through the National Strategy of accelerating Stunting Prevention, known as Stranas Stunting, implemented in 2018 – 2024. The system was developed to be able to identify stunting supporting factors so that it can provide accurate information. And the system also displays data in the form of maps, to make it easier to perform analysis in a room. Spatial data is displayed using GIS (Geographic Information System). The study's result was that 75% of children grew up normally, while the other 25% predicted to suffer from stunting. The dominant factor affecting stunting is 57% of children with short anthropometry, 51% of children who do not get exclusive breast milk, 66% of mothers' knowledge of nutrition is not good, 69% of foster care patterns by mothers themselves, 80% of pregnant women with a diet less than three times, 99% of pregnant women not infected with the disease, and 54% of pregnant women with anthropometry less than mid-upper arm circumference (MUAC).

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Journal Info

Abbrev

research

Publisher

Subject

Computer Science & IT

Description

Jurnal Eksplorasi Teknologi Enterprise & Sistem Informasi (EKSTENSI) adalah jurnal akses terbuka media elektronik yang diterbitkan melalui proses peninjauan sejawat atau para ahli yang relevan di bidang ilmu komputer. Jurnal EKSTENSI diterbitkan dua kali dalam setahun, pada bulan Mei dan November ...