Vol. 16 No. 1 (2024): Jurnal Aplikasi Statistika & Komputasi Statistik

This issue consists of 7 articles contributed by 19 authors affiliated with 4 institutions from Indonesia, including Universitas Airlangga (Faculty of Science and Technology, Department of Mathematics, Statistics Program), Universitas Syiah Kuala (STEM Research Center, Faculty of Mathematics and Natural Sciences), Universitas Mataram (Department of Mathematics and Natural Sciences), and Universitas Pamulang. The research presented covers a diverse range of topics, including stunting prevalence modeling using multi-predictor truncated spline nonparametric regression by authors from Universitas Airlangga; the impact of digital literacy on poverty as mediated by education, demography, and employment by researchers from Universitas Syiah Kuala; maternal mortality rate analysis in Papua using geographically weighted Poisson regression by Universitas Airlangga authors; human development index modeling in East Java using geographically weighted logistic regression by Universitas Airlangga; regional economic modeling using Geographically Weighted Lasso by Universitas Mataram; prediction interval performance in Random Forest for poverty data analysis by authors from Universitas Pamulang and IPB University; and export-import forecasting using multi-output back-propagation deep neural networks by authors from Institut Teknologi Sepuluh Nopember and BPS-Statistics Indonesia.