scholarly journals PENENTUAN NILAI PREMI ASURANSI PERTANIAN BERBASIS INDEKS CURAH HUJAN PADA KOMODITAS KEDELAI YANG DISIMULASI MENGGUNAKAN DISTRIBUSI WEIBULL

2020 ◽  
Vol 9 (4) ◽  
pp. 257
Author(s):  
NI PUTU AYUNDA SURYA DEWI ◽  
KOMANG DHARMAWAN ◽  
KARTIKA SARI
Keyword(s):  
Insurance Premium ◽  
Weather Generator ◽  
Rainfall Data ◽  
Simulated Rainfall ◽  
Crop Failure ◽  
Agricultural Insurance ◽  
Stochastic Weather Generator ◽  
Insurance Premiums ◽  
Rainfall Index ◽  
Insurance Costs

Agricultural insurance protects farmers who experience crop failure. This study aims to calculate the value of agricultural insurance premium by applying simulated rainfall index-based using stochastic weather generator on soybean commodities in Negara sub-district. This study are used rainfall data to determine the probability of the transition, then perform rainfall simulations using the Stochastic Weather Generator method to obtain trigger values and continued with the calculation of agricultural insurance premiums. Results of this study provide the value that higher trigger is taken, the greater the insurance premium that must be paid. The value of insurance premiums to be paid is 4,18% - 5,66% of insurance costs Rp2.605.000,00.

scholarly journals PENENTUAN HARGA PREMI ASURANSI PERTANIAN BERBASIS INDEKS CURAH HUJAN DENGAN MENGGUNAKAN METODE PEMBANGKIT DISTRIBUSI EKSPONENSIAL CAMPURAN

2018 ◽  
Vol 7 (2) ◽  
pp. 141
Author(s):  
SAYID QOSIM ◽  
KOMANG DHARMAWAN ◽  
LUH PUTU IDA HARINI
Keyword(s):  
Risk Management ◽  
Weather Generator ◽  
Management Tool ◽  
Simulated Rainfall ◽  
Crop Failure ◽  
Agricultural Insurance ◽  
Stochastic Weather Generator ◽  
Agriculture Sector ◽  
Rainfall Index ◽  
Mixed Exponential Distribution

Agricultural insurance is an insurance in agriculture sector that is relatively newly introduced in Indonesia. Agricultural insurance based on rainfall index is one of the risk management tool to keep farmers in case of crop failure. This study aims to determine the steps in determining the value of rainfall index on agricultural insurance and calculate the value of agricultural insurance premiums based on simulated rainfall index by Stochastic weather generator with mixed exponential distribution. The results of this study provide value if the amount of rainfall 103,71 mm so that the amount of premium payments equal to Rp19.016, and if the rainfall is high 128.35 mm then the amount of premium payment equal to Rp1.088.000.

scholarly journals Model of Rice Farm Insurance to Reduce Losses Due to Harvest Failure

2019 ◽  
Vol 8 (2S7) ◽  
pp. 231-236
Keyword(s):  
Extreme Events ◽  
Paddy Fields ◽  
Rice Farming ◽  
Crop Failure ◽  
Agricultural Insurance ◽  
Insurance Premiums ◽  
Pure Premium ◽  
Actuarial Methods ◽  
Premium Calculation ◽  
Micro Insurance

The rice farm insurance is one of micro insurance, which is intended for paddy fields. Its use is to reduce or minimize the losses suffered by farmers due to crop failure. In this article various things are related to rice farming insurance and specifically highlight rice farming insurance in Indonesia from the actuarial side. There are several actuarial methods that can be used to determine the amount of rice farming insurance premiums. Calculation of premiums is based on expectations of losses and losses of extreme events. The premium calculation used is: pure premium method, and method of level of coverage. Based on the results of the discussion, it shows that the actuarial fair premium determined in the range of IDR 179,000 to IDR 268,000. Thus, the official premium of rice farming insurance is IDR 180,000, is the minimum premium for agricultural insurance programs in Indonesia.

scholarly journals PENDEKATAN OPSI CASH-OR-NOTHING UP AND IN BARRIER UNTUK PENENTUAN NILAI PREMI ASURANSI PERTANIAN

2020 ◽  
Vol 4 (3) ◽  
pp. 557-565
Author(s):  
Yunita Wulan Sari ◽  
Gunardi Gunardi
Keyword(s):  
Crop Insurance ◽  
Extreme Rainfall ◽  
Barrier Option ◽  
Crop Failure ◽  
Insurance Premiums ◽  
Rainfall Index ◽  
Limit Value ◽  
Black Scholes ◽  
Negative Effect ◽  
Approach Method

Crop insurance is a type of insurance that provides protection to farmers who hold an insurance policy for losses due to crop failure. Extreme weather, especially rainfall, has been the main cause of the crop failure. Therefore, the type of crop insurance based on weather or rainfall must be developed and applied. This paper will discuss the cash-or-nothing up and in barrier option approach for determining insurance premiums where the risk of loss in terms of high rainfall, then compare it to the Black-Scholes option approach. In this approach, the claim limit is based on the rainfall index and the value of the barrier is determined according to the size of the extreme rainfall. We use cumulative rainfall data in the first subround in Sleman regency as a case study. The conclusions obtained are barrier value has a negative effect on the value of insurance premiums and claim limit value has a positive effect. Besides the premium value with this barrier option approach is cheaper than the Black-Scholes option approach, this approach method more interesting to apply because of the barrier value addition.

scholarly journals Application of Black Scholes Method in Determining Agricultural Insurance Premium Based On Climate Index Using Historical Burn Analysis Method

2021 ◽  
Vol 9 (3) ◽  
pp. 103
Author(s):  
Aminatus Sholiha ◽  
Mohamat Fatekurohman ◽  
I Made Tirta
Keyword(s):  
Insurance Premium ◽  
Climate Index ◽  
Index Insurance ◽  
Analysis Method ◽  
Agricultural Insurance ◽  
Insurance Premiums ◽  
Black Scholes ◽  
Quality Testing ◽  
Insurance Payment ◽  
Instrument Quality

Climate index insurance is an insurance that provides reimbursement for losses due to decreased harvest rates or crop failures caused by weather. The use of Historical Burn Analysis (HBA) method in determining climate index based on rainfall resulted in a concept of the agricultural insurance payment in Pasuruan Regency. The application of The Black Scholes method in determining agricultural insurance premiums is obtained when rainfall more than 17 mm the premium is Rp 221,234. If the rainfall are 13 mm ≥ RR < 17 mm, the nominal premium paid by farmers to the insurance party is Rp 147,489. Respondents in the study were farmers who owned rice fields. Instrument quality testing (questionnaire) using validity test and reliability test using the help of SPSS statistical software. It can be concluded that the questionnaire is valid and reliable. Based on the results of the questionnaire, farmers considered that the nominal agricultural insurance premiums are in accordance with farmers' income.

scholarly journals Estimation of the Amount of Rice Crop Insurance Premium in the Citarum River Basin

2020 ◽  
Vol 1 (1) ◽  
pp. 33-39
Author(s):  
Nurfadhlina Abdul Hali ◽  
Muhammad Faiz Rifqi ◽  
Endang Soeryana
Keyword(s):  
River Basin ◽  
Crop Insurance ◽  
Crop Productivity ◽  
Insurance Premium ◽  
Rice Crop ◽  
Normal Curve ◽  
Mathematical Methods ◽  
Insurance Premiums ◽  
Productivity Data ◽  
Curve Method

Determination of crop insurance premiums in the Citarum River basin can be calculated by mathematical methods. One of the methods of calculation of the premium that is the normal curve methods with data on crop productivity is assumed to be Gaussian. In this thesis are discussed in crop insurance premium calculations Areas Citarum River basin West Bandung Regency with normal curve method with a significant level of coverage. These methods are used because data on crop productivity gained Gaussian. Normal curve method is used without using the assumption of coefficients of variation, and try for some level of coverage. Application materials used are rice crop productivity data in the Citarum River basin of West Bandung Regency in 2008-2014. This research resulted in the value of the rice crop insurance premiums for farmers in the area based on a certain level of coverage.

scholarly journals PENENTUAN NILAI PREMI ASURANSI PERTANIAN BERBASIS INDEKS SUHU PERMUKAAN MENGGUNAKAN METODE BURN ANALYSIS

2018 ◽  
Vol 7 (4) ◽  
pp. 322
Author(s):  
A.A DWI MARSITA ANGGRAENI ◽  
KOMANG DHARMAWAN ◽  
DESAK PUTU EKA NILAKUSMAWATI
Keyword(s):  
Risk Management ◽  
Surface Temperature ◽  
Insurance Premium ◽  
Analysis Method ◽  
Agricultural Insurance ◽  
Temperature Index ◽  
Premium Payment ◽  
Long Run ◽  
Related Risk ◽  
Climate Parameter

Temperature is an important factor in the production of agricultural commodities. For this reason, goverments needs to protect farmers in order to continue their farming. Climate-based agricultural insurance is an alternative to climate-related risk management. Insurance premium is given when the temperature index lower than the pre determined trigger index. The purpose of this study is to determine the stages and assumptions in determining the value of agricultural insurance premiums based on surface temperature index on cocoa commodities using the method of burn analysis. The temperature index was determined using the burn analysis method with the temperature as the climate parameter. Trigger values ??are determined based on long run times. In this paper, the result is that when the temperature index lower than the determined trigger value, trigger payments as much as Rp.10.931.960,40 / Ha based on trigger index as many 26.145 ° C, so amount of premium payment equals Rp 215.776.

scholarly journals Dependence Between Extreme Rainfall Events and the Seasonality and Bivariate Properties of Floods. A Continuous Distributed Physically-Based Approach

Water ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 1896 ◽  
Author(s):  
Gabriel-Martin ◽  
Sordo-Ward ◽  
Garrote ◽  
García
Keyword(s):  
Peak Flow ◽  
Total Duration ◽  
Weather Generator ◽  
Return Periods ◽  
Storm Events ◽  
Stochastic Weather Generator ◽  
Rainfall Events ◽  
Annual Peak ◽  
Extreme Flood ◽  
Physically Based

This paper focuses on proposing the minimum number of storms necessary to derive the extreme flood hydrographs accurately through event-based modelling. To do so, we analyzed the results obtained by coupling a continuous stochastic weather generator (the Advanced WEather GENerator) with a continuous distributed physically-based hydrological model (the TIN-based real-time integrated basin simulator), and by simulating 5000 years of hourly flow at the basin outlet. We modelled the outflows in a basin named Peacheater Creek located in Oklahoma, USA. Afterwards, we separated the independent rainfall events within the 5000 years of hourly weather forcing, and obtained the flood event associated to each storm from the continuous hourly flow. We ranked all the rainfall events within each year according to three criteria: Total depth, maximum intensity, and total duration. Finally, we compared the flood events obtained from the continuous simulation to those considering the N highest storm events per year according to the three criteria and by focusing on four different aspects: Magnitude and recurrence of the maximum annual peak-flow and volume, seasonality of floods, dependence among maximum peak-flows and volumes, and bivariate return periods. The main results are: (a) Considering the five largest total depth storms per year generates the maximum annual peak-flow and volume, with a probability of 94% and 99%, respectively and, for return periods higher than 50 years, the probability increases to 99% in both cases; (b) considering the five largest total depth storms per year the seasonality of flood is reproduced with an error of less than 4% and (c) bivariate properties between the peak-flow and volume are preserved, with an error on the estimation of the copula fitted of less than 2%.

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