Sistem Informasi Geografis Visualisasi Data Stunting pada Balita Berbasis Web di Desa Sumberwaru

Stunting is a chronic nutritional problem in toddlers that affects physical growth and cognitive development. In Sumberwaru Village, stunting data management is still done manually through Posyandu notebooks and written reports, which causes reporting delays and the risk of recording errors. This study aims to develop a web-based Geographic Information System (GIS) to visualize stunting data in toddlers to support more effective data management, monitoring, and spatial analysis. This study uses a Research and Development (R&D) approach with a Waterfall development model, consisting of needs analysis, system design, implementation, testing, and maintenance. The system was developed using JavaScript and MySQL and tested by 50 users consisting of Posyandu cadres, KPM officers, and village staff. Black-box testing showed that all main functions of the system operated successfully, while usability evaluation using a Likert-scale questionnaire produced an average score of 97.12%, indicating that the system is easy to use and useful for operational activities. The developed system enables faster and more structured management of toddler and stunting data and provides digital map visualization to identify areas with high stunting prevalence.

Authors

Institutions

Publication Details

Journal
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)
Published
2026-11-01
DOI
https://doi.org/10.35870/jtik.v11i1.7356
Primary Topic
Decision Support System Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sistem Informasi Geografis Visualisasi Data Stunting pada Balita Berbasis Web di Desa Sumberwaru

Ahmad Hamdani, Mochammad Rofi, Adi Susanto
2 links
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)
Decision Support System Applications
article

Sistem Informasi Geografis Visualisasi Data Stunting pada Balita Berbasis Web di Desa Sumberwaru

Ahmad Hamdani, Mochammad Rofi, Adi Susanto
article en

Abstract

Stunting is a chronic nutritional problem in toddlers that affects physical growth and cognitive development. In Sumberwaru Village, stunting data management is still done manually through Posyandu notebooks and written reports, which causes reporting delays and the risk of recording errors. This study aims to develop a web-based Geographic Information System (GIS) to visualize stunting data in toddlers to support more effective data management, monitoring, and spatial analysis. This study uses a Research and Development (R&D) approach with a Waterfall development model, consisting of needs analysis, system design, implementation, testing, and maintenance. The system was developed using JavaScript and MySQL and tested by 50 users consisting of Posyandu cadres, KPM officers, and village staff. Black-box testing showed that all main functions of the system operated successfully, while usability evaluation using a Likert-scale questionnaire produced an average score of 97.12%, indicating that the system is easy to use and useful for operational activities. The developed system enables faster and more structured management of toddler and stunting data and provides digital map visualization to identify areas with high stunting prevalence.

Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)Vol. 11(1)
Universitas Ibrahimy (ID)
Good health and well-being, Industry, innovation and infrastructure, Zero hunger, Reduced inequalities
Openalex Percentile: Top 6%
Decision Support System Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon