https://journal.itera.ac.id/index.php/indojam <p><img src="/public/site/images/bprasetyo/Cover_Gabung_22.jpg" alt=""></p> <p>Indonesian Journal of Applied Mathematics&nbsp;is a scientific publication media that publishes articles from the results of research or studies in the field of applied mathematics, focusing&nbsp;on&nbsp;Computational Mathematics, Optimation, Actuarial, Statistics, Numerical Modelling, Mathematical Physics, Financial Mathematics and Combinatorics. This journal publish twice in a year August and December.&nbsp;<strong>Indonesian Journal of Applied Mathematics</strong>&nbsp;is fully supported by Mathematics Study Program and Actuarial Study Program of Institut Teknologi Sumatera.&nbsp;IndoJAM&nbsp;publishes article twice a year on&nbsp;April and October.</p> Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia en-US Indonesian Journal of Applied Mathematics 2774-2067 https://journal.itera.ac.id/index.php/indojam/article/view/2435 <p><em>Agricultural insurance is an important instrument to protect farmers from risks that can threaten the sustainability of farming, such as crop failure due to natural disasters, pest attacks, and plant diseases. Rice, as a strategic commodity for national food security, is a priority in insurance protection programs. This study aims to calculate rice insurance premiums in West Java Province using the copula method, based on secondary monthly data of rice production and dry grain prices (GKG) from January 2020 to December 2023, as well as daily rainfall data. The methodology includes data exploration, distribution fitting, copula parameter estimation, and premium calculation based on rainfall threshold values. The analysis results indicate that the Gaussian copula is the best model for capturing the dependence between variables, with the lowest AIC and BIC values. Premium calculations based on rainfall indices show variations according to threshold values, with lower premiums for smaller thresholds, confirming the effectiveness of the Gaussian copula in modeling risk for agricultural insurance premiums.</em></p> Fuji Lestari Copyright (c) 2025 Indonesian Journal of Applied Mathematics http://creativecommons.org/licenses/by-nc/4.0 2025-10-31 2025-10-31 5 2 1 7 10.35472/indojam.v5i2.2435