Comparison of Agricultural Insurance Premium Prices Based on Rainfall Index and Based on Corn Commodity Production Prediction Index in Grobogan District
Abstract
In running an agricultural business, there is a big risk because farmers' productivity is very dependent on nature, and to reduce the risk of crop failure, the government provides a program to minimize losses from crop failure, namely agricultural insurance, through Law Number 19 of 2013 . This article aims to compare agricultural insurance premium prices based on the rainfall index and the production prediction index for corn commodities in Grobogan Regency. The results of this article are based on the reference used of 3% of compensation, namely IDR 344,872.5, and the results that are close to the reference are the price of insurance premiums based on the 5th simple average method corn production prediction index of IDR 356,433.58 . However, the premium price used as a reference previously was the gross premium price from AUTP, so the insurance premium price for Corn Farmers (AUTJ) was obtained, namely IDR 310,385.25. As a result, we obtained premium price results that were closest to the reference from AUTJ, namely at the 4th percentile, when the agricultural insurance premium price based on the rainfall index was IDR 330,155.76 per planting season.
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Ariningsih, E., Rachman, B., Sudaryanto, T., Ariani, M., Septanti, K. S., & Adawiyah, C. R. (2021, November). Strategies for sustainable corn production: a case of South Lampung District, Lampung Province, Indonesia. In IOP Conference Series: Earth and Environmental Science (Vol. 892, No. 1, p. 012075). IOP Publishing.
BAPPEDA (2020). Badan Perencanaan Dan Pembangunan Daerah, Pemerintah Kabupaten Grobogan. https://disperindag.grobogan.go.id/images/Laporan_Akhir_SRG.pdf
Purnamasari, G. C., & Hestyara, A. 2021. Implementation of Legal Protection ind Empowerment for Farmers in Cibodas Village Based on Law Number 19 Of 2013 on the Protection and Empowerment of Farmers. Melayunesia Law, 5(2), 173-195.
Anggraeni, A. M., Dharmawan, K., & Nilakusmawati, D. P. E. (2018). Penentuan nilai premi asuransi pertanian berbasis indeks suhu permukaan menggunakan metode burn analysis. E-Jurnal Matematika, 7(4), 322-329.
Togatorop, R. F., Di Asih, I. M., & Tarno, T. (2022). Perhitungan harga premi asuransi pertanian komoditas cabai rawit berbasis indeks curah hujan dengan metode Black-Scholes. Jurnal Gaussian, 11(1), 77-85.
Roji, I. F. (2022). Penentuan Nilai Premi pada Asuransi Pertanian Berbasis Indeks Iklim di Kabupaten Bogor. Jurnal Riset Statistika, 67-74.
Putri, I. A. G. K., Dharmawan, K., & Tastrawati, N. K. T. (2017). Perhitungan harga premi asuransi pertanian yang berbasis indeks curah hujan menggunakan metode black scholes. E-Jurnal Matematika, 6(2), 161-167.
Sukono, S., Susanti, D., Ridwan, F., Riaman, R., Hertini, E., & Saputra, J. (2023). Analyzing the community decision making to purchase pet insurance: Case study of animal lovers in Indonesia. Decision Science Letters, 12(1), 29-40.
Darma, S., Hakim, Y. P., Kurniawan, E., Darma, D. C., & Suparjo, S. (2022). Understanding market behavior on corn commodity: phenomenon at year end. Asian Journal of Agriculture and Rural Development, 12(2), 53-64.
Rozi, F., Santoso, A. B., Mahendri, I. G. A. P., Hutapea, R. T. P., Wamaer, D., Siagian, V., ... & Syam, A. (2023). Indonesian market demand patterns for food commodity sources of carbohydrates in facing the global food crisis. Heliyon, 9(6).
Irawati, A., & Wibawa, W. (2021, May). Study on production of several soybean varieties with corn intercropping system on dry land in East Lampung, Lampung Province. In IOP Conference Series: Earth and Environmental Science (Vol. 759, No. 1, p. 012028). IOP Publishing.
DOI: https://doi.org/10.46336/ijqrm.v5i2.684
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