Stunting Management Monitoring System

Authors

  • Helmi Roichatul Jannah Universitas Islam Indonesia
  • Sri Kusumadewi Universitas Islam Indonesia, Yogyakarta
  • Raden Edi Fitriyanto Universitas Islam Indonesia, Yogyakarta

DOI:

10.33395/sinkron.v7i1.11267

Keywords:

stunting, nutrition, first 1000 days of life, monitoring system, rule based reasoning

Abstract

 Stunting is one of the chronic nutritional problems in which the length or height of children is shorter than normal children their age. In the short term, stunting can interfere with brain and physical development, while in the long term, stunting can reduce a person's cognitive abilities and intelligence, as well as being susceptible to various diseases. Stunting cannot be cured, but it can be optimized for growth and development during the 1000 first days (first day of life) by routinely carrying out examinations. This is the goal of this study, namely to build a system that can monitor the health of pregnant women and toddlers aged 0-24 months in an effort to optimize the growth and development of stunting children. Stunting management monitoring system is carried out based on certain nutritional status management which indicates the birth of a child experiencing stunting. The system is built in the form of a website, where expert rules related to the management of nutritional status are translated into the system using the Rule Based Reasoning method. To measure the success of the system, usability testing or functional testing by users is carried out with the attributes of testing the ease of use of the system and the ease of the system to learn. Overall, the Stunting management monitoring system can accommodate the early stages of health monitoring in 1000 first days, however, development will continue in line with user needs.

 

GS Cited Analysis

Downloads

Download data is not yet available.

References

World Health Organization, “Global Nutrition Targets 2025: Stunting Policy Brief,” vol. 122, no. 2, pp. 74–76, 78, 2014.

Kementerian Kesehatan RI, “Pusdatin : buletin stunting,” Kementeri. Kesehat. RI, vol. 1, p. 2, 2018.

Kementerian Desa Pembangunan Daerah Tertinggal dan Transmigrasi, “Buku saku desa dalam penanganan stunting,” Buku Saku Desa Dalam Penanganan Stunting, pp. 2–13, 2017.

T. Kementrian Dalam Negeri, Kementerian PPN/Bappenas, “Strategi Nasional Percepatan Pencegahan Anak Kerdil (Stunting),” 2018.

I. Budiastutik and M. Z. Rahfiludin, “Faktor Risiko Stunting pada anak di Negara Berkembang,” Amerta Nutr., vol. 3, no. 3, p. 122, 2019, doi: 10.20473/amnt.v3i3.2019.122-129.

M. G. P. Asweros Umbu Zogara, “Faktor-faktor yang Berhubungan dengan Kejadian Stunting pada Balita,” J. Ilmu Kesehat. Masy., 2020.

A. Hendryani, “Pengembangan Aplikasi Mobile Health Berbasis Android untuk Monitoring dan Evaluasi Stunting,” 2020.

W. I. Susanti, A. P. Widodo, and S. A. Nugraheni, “Pengembangan Sistem Informasi Pencatatan dan Pelaporan Status Gizi Balita Stunting di Kelurahan Gajah Mungkur,” J. Manaj. Kesehat. Indones., vol. 7, no. 1, pp. 67–74, 2019, doi: 10.14710/JMKI.7.1.2019.67-74.

N. N. Farid Wajidi, “Sistem Pakar Diagnosa Stunting Pada Balita Menggunakan Metode Forward Chaining,” 2021.

A. Afiyan Nur Chafidin, Agung Triayudi, “Sistem Pendeteksi Gejala Stunting pada Anak dengan Metode Certainty factor Berbasis Website,” 2021.

N. Thamaria, Penilaian Status Gizi. 2017.

S. Negara, PERATURAN MENTERI KESEHATAN REPUBLIK INDONESIA NOMOR 82 TAHUN 2013 TENTANG SISTEM INFORMASI MANAJEMEN RUMAH SAKIT, no. 87. Indonesia, 2014, pp. 1–36.

K. R. Chowdhary, Fundamentals of artificial intelligence. 2020.

K. Kesehatan et al., “Gizi Buruk I,” 2011.

D. C. Jeff Rubin, Handbook of Usability Testing. Indianapoilis: Wiley Publishing, Inc, 2008.

Downloads


Crossmark Updates

How to Cite

Jannah, H. R. ., Kusumadewi, S. ., & Fitriyanto, R. E. . (2022). Stunting Management Monitoring System. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 6(1), 185-195. https://doi.org/10.33395/sinkron.v7i1.11267