Penentuan Nilai Premi Asuransi Pertanian Berbasis Indeks Curah Hujan Dengan Metode Simulasi Stochastic Weather Generator Menggunakan Distribusi Weibull

Giandito Iskandar (Institut Teknologi Sumatera)
Dila Tirta Julianty (Institut Teknologi Sumatera)
Fuji Lestari (Institut Teknologi Sumatera)
Elifas Hani Christien (Institut Teknologi Sumatera)
Nia Ahmadia Sumardi (Institut Teknologi Sumatera)
Welson Tawan (Institut Teknologi Sumatera)
Natalie Evangelista (Institut Teknologi Sumatera)
Debra Carol Lin G.N. (Institut Teknologi Sumatera)

Indonesian Journal of Applied Mathematics
Vol. 6 No. 1 (2026): Indonesian Journal of Applied Mathematics Vol. 6 No. 1 April Chapter

The agricultural sector is vulnerable to various risks, which can lead to losses, such as rice farming that is susceptible to unstable rainfall. Therefore, agricultural insurance is needed to protect farmers from losses due to reduced harvests caused by various risks. The maximum value covered by the insurance company, called the indemnity value, reflects the total losses experienced by the farmers based on the average rice production yield. The average rice production yield is calculated using the estimated selling price obtained from the value- at-risk method amounting to IDR7,401,647.28/ton. This study aims to determine the premium that farmers must pay using a rainfall index value simulated using the Weibull Distribution with the Stochastic Weather Generator method. The result of this study is that the premium ranges from IDR143,567.5 – IDR11,511,142 or around 0.349% to 27.939% of the indemnity value amounting to IDR41,375,333.65.