RAHAYU, SHOPIA (2025) PERANCANGAN APLIKASI PENGECEKAN STUNTING BERBASIS WEB MENGGUNAKAN METODE RAPID APPLICATION DEVELOPMENT PADA DESA CIPUTRI. S1 thesis, Universitas Mercu Buana Jakarta.
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Abstract
Stunting is a condition of chronic malnutrition that impedes the growth of a child's height compared to the growth standards set by the WHO. This condition is a serious health issue, particularly in rural areas like Ciputri Village, where access to healthcare services and nutritional education is limited. This study aims to design a web-based application to facilitate the detection of stunting risk using the Random Forestalgorithm. The application was developed using the Rapid Application Development (RAD) method, which allows for rapid iterations and responsiveness to user feedback. The data used includes primary data from anthropometric measurements of children at the Posyandu in Ciputri Village. The results show that the application can assist healthcare workers and parents in monitoring children's nutritional status and providing timely intervention recommendations. This application is expected to be an effective tool in supporting stunting prevention efforts in the village. Keywords: Stunting, Random Forest, Rapid Application Development, Web Application, Early Detection. Stunting merupakan kondisi kekurangan gizi kronis yang menghambat pertumbuhan tinggi badan anak dibandingkan standar yang ditetapkan oleh WHO. Masalah ini menjadi isu serius di Desa Ciputri, yang memiliki keterbatasan akses terhadap layanan kesehatan dan edukasi gizi. Penelitian ini bertujuan untuk mengembangkan aplikasi berbasis web guna memudahkan deteksi dini risiko stunting dengan menggunakan algoritma Random Forest. Proses pengembangan aplikasi menggunakan metode Rapid Application Development (RAD), yang memungkinkan iterasi cepat dan responsif terhadap kebutuhan pengguna. Data penelitian meliputi data primer hasil pengukuran antropometri di Posyandu Desa Ciputri. Hasil penelitian menunjukkan bahwa aplikasi ini membantu masyarakat dan tenaga kesehatan dalam memantau status gizi anak serta memberikan rekomendasi langkah - langkah nutrisi yang tepat. Aplikasi ini diharapkan dapat menjadi solusi inovatif dalam upaya pencegahan stunting di tingkat lokal. Kata kunci: Stunting, Random Forest, Rapid Application Development, Aplikasi Web, deteksi dini.
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