Suchergebnisse

Farmers often suffer losses due to crop failure. The failure of the harvest is influenced by one of them is flooding, especially in Bandung which is quite frequent rain. Therefore one of the government's efforts to minimize losses from crop failures is the existence of an agricultural insurance program. The insurance system used is climate index insurance where the climate index is not plant insurance. This study aims to get a large premium to be paid by farmers using the Black-Scholes method. Meanwhile, to determine the climate index using the Historical Burn Analysis method. The results of this study are getting a variety of trigger values and exit values as well as the amount of premium that must be paid by farmers every planting season. Trigger values represent the minimum full payment limit. The exit value represents the maximum limit for no payment. The premium value obtained based on the selected trigger value also varies and is large enough so that it can be considered by farmers in choosing an agricultural insurance policy. Therefore, the method used must still be investigated to adjust to farmers, especially in Bandung.

The current condition of fishermen in Indonesia is still far from prosperous, especially small fishermen who generally have an income of less than one million/month. Fishermen are faced with constraints on the characteristics of their fishing business which depend on climate change, weather uncertainty, and sea waves, so they pose a high risk. This affects the low income of these fishermen because fishermen working hours are very dependent on the weather so if the sea waves are high or other bad weather, fishermen are forced not to go to sea. Therefore, it is necessary to protect fishermen through fisherman insurance. Currently, the government has been trying to increase the target of fish production and consumption through protection and welfare for fishermen. One of the efforts to improve fishermen's welfare is a work program that guarantees protection against risks to fishermen, fish cultivators, and salt farmers. This program targets 1 million insurance for fishermen spread across the territory of the Republic of Indonesia. One of the government's efforts to protect fishermen and their families is through the provision of Insurance Premium Assistance for Fishermen. This effort is intended to provide guaranteed protection against risks experienced by fishermen, such as death, permanent disability, and medical costs; as well as provide awareness of insurance for fishermen. However, currently, fishermen's income is not included in the risk guarantee from the fishermen's insurance program. Even though the income of fishermen is one of the criteria for measuring the economy of coastal communities who work as fishermen and indirectly can determine the maritime economy. Therefore, we as academics intend to conduct training and socialization of economic empowerment of fishing communities based on knowledge, skills, and potential in Cirebon Fishermen Village through Community Service programs. The material that will be provided in this Community Service activity is related to the economic empowerment of fishermen ...

Extreme distribution is the distribution of a random variable that focuses on determining the probability of small values in the tail areaof the distribution. This distribution is widely used in various fields, one of which is reinsurance. An outbreak catastrophe is non-natural disaster that can pose an extreme risk of economic loss to a country that is exposed to it. To anticipate this risk, the government of a country can insure it to a reinsurance company which is then linkedto bonds in the capital market so that new securities are issued, namely outbreakcatastrophe bonds. In pricing, knowledge of the extreme distribution of economic losses due to outbreak catastrophe is indispensable. Therefore, this study aims to determine the extreme distribution model of economic losses due to outbreak catastrophe whose models will be determined by the approaches and methods of Extreme Value Theory and Peaks Over Threshold, respectively. The threshold value parameter of the model will be estimated by Kurtosis Method, while the other parameters will be estimated with Maximum Likelihood Estimation Method based on Newton-Raphson Iteration. The result of the research obtained is the resulting model of extreme value distribution of economic losses due to outbreak catastrophe that can be used by reinsurance companies as a tool in determining the value of risk in the outbreak catastrophe bonds.