Title: Modeling the Growth of Toddler Height in Banyuwangi for Health Assessment Using Local Linear Regression
Authors: Nur Chamidah, Toha Saifudin, Ardi kurniawan, Citrawani Marthabakti, Evi Wijawati, Rindiani Ahmada, Nabila Shafa Aflaha
Volume: 9
Issue: 1
Pages: 100-105
Publication Date: 2025/01/28
Abstract:
Toddler growth is one of the most crucial health indicators, especially amidst the persistent challenges of stunting, which remains a serious issue in Indonesia, including Banyuwangi Regency. This study employs a nonparametric regression approach based on a local linear estimator to model the height of toddlers aged 0-60 months. This approach offers greater flexibility in capturing growth patterns without being constrained by linearity assumptions, thereby providing more accurate results. The findings reveal significant differences in growth patterns between male and female toddlers, with male toddlers tending to have greater height at certain ages. Using the best methods, namely Plug-in for male toddlers and Rule of Thumb for female toddlers, the study achieved Mean Squared Error (MSE) values of 0.72 and 0.62, respectively, along with coefficients of determination (Rē) of 99.63% and 99.70%. Additionally, the study compares the model estimates with the WHO-2007 standard growth chart, highlighting critical differences that can serve as a foundation for more effective health interventions and nutritional policies at the local level.