Perhitungan Premi Asuransi Pertanian Pada Tanaman Padi Di Provinsi Jawa Barat Menggunakan Metode Copula
Abstract
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.
Downloads
References
[2] A. S. Eka Hidayat, “Analisa Struktur Dependensi Variabe Pembentukan Asuransi Pertanian Berbasis Indeks Cuaca dengan Multivariat Copula dan Vine Copula,” J. Varian, vol. 3, no. 1, pp. 20–27, 2019, doi: 10.30812/varian.v3i1.485.
[3] B. R. Rasmikayati E, E. Djuwendah, G. Wibawa Mukti and Saefudin, “Petani Padi Di Jawa Barat,” Semin. Nas. Mitigasi dan Strateg. Adapt. Dampak perubahan Iklim di Indones., pp. 46–52, 2015, [Online]. Available: http://registrasi.seminar.uir.ac.id/prosiding/sem_nas17/file/SCI01711_Elly Rasmikayati.pdf
[4] P. Djunedi, “Analisis Asuransi Pertanian di Indonesia : Konsep, Tantangan dan Prospek,” J. Borneo Adm., vol. 12, no. 1, pp. 9–27, 1969, doi: 10.24258/jba.v12i1.209.
[5] Darma Ekawati, A. Apriyanto, F. Fardinah, D. P. Sari, and S. Aprilia, “Penentuan Premi Asuransi Komoditas Kelapa Sawit dengan Pendekatan Copula,” J. Math. Theory Appl., vol. 5, no. 2, pp. 74–79, 2023, doi: 10.31605/jomta.v5i2.2933.
[6] A. J. McNeil, R. Frey, and P. Embrechts, Quantitative Risk Management: Concepts, Techniques and Tools, Revised ed. Princeton University Press, 2015.
[7] F. Handoyo and Riaman, “Price of pure agricultural insurance premiums using the Elliptical Copula Approach,” Opción, vol. 36, no. 27, pp. 943–958, 2020.
[8] W. Indriani, Perhitungan Premi Asuransi Pertanian Berbasis Indeks Curah Hujan dan Suhu Permukaan Menggunakan Copula (Studi Kasus Kabupaten Sragen), Thesis, UIN Walisongo Semarang, 2023. [Online]. Available: https://eprints.walisongo.ac.id/id/eprint/24906
[9] R. B. Nelsen, An Introduction to Copulas, 2nd ed. Springer, 2006.
[10] S. Konishi and G. Kitagawa, Information Criteria and Statistical Modeling. 2008. [Online]. Available: http://link.springer.com/10.1007/978-0-387-71887-3
[11] P. Adeyinka, “Viability of Weather Index Insurance in Managing Drought Risk in Australia,” vol. 61, no. 0, 2013.
[12] N. Lewaherilla and G. Haumahu, “Premium Calculation with the Application of Deductible in Actuarial Model for One Year Sickness Insurance,” vol. 1, pp. 39–45, 2019.
Copyright (c) 2025 Indonesian Journal of Applied Mathematics

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.


