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All Journal Operations Research: International Conference Series
Novianti, Saqila
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Mathematics

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Determination of North Sulawesi Agricultural Insurance Premiums Based on Rainfall Index Using the Black-Scholes Model Novianti, Saqila; Nugraha, Dwita Safira; Wiliya, Wiliya
Operations Research: International Conference Series Vol. 2 No. 1 (2021): Operations Research International Conference Series (ORICS), March 2021
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v2i1.156

Abstract

This article discusses the use of the Black Scholes model to calculate insurance premium prices based on the rainfall index. The Black Scholes model is one of the models used to determine option prices. The research method used is to study the material through mathematics journals and collect data. The data used in this study are rainfall data and rice production data in North Sulawesi from 2018 to 2020. Based on the results and discussion, the quarterly rainfall data that has a strong correlation is the third quarter rainfall. At the 5th percentile, the third quarter rainfall data is 450.22 mm. For the latest rainfall data size (450.22 mm) the premium obtained is IDR 231,912.09. From the calculation results, the higher the value for both sizes, the greater.
Analysis of the Effect of Temperature and Rainfall on Coffee Productivity in Indonesia using the Cobb-Douglas model for Determining Insurance Premiums Novianti, Saqila; Riaman, Riaman; Sukono, Sukono
Operations Research: International Conference Series Vol. 2 No. 3 (2021): Operations Research International Conference Series (ORICS), September 2021
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v2i3.179

Abstract

Coffee is one of Indonesia's foreign exchange earners and plays an important role in the development of the plantation industry. Indonesia is a coffee bean producing country ranked 4th in the world after Brazil, Vietnam, and Colombia. The agricultural sector in Indonesia has risks and uncertainties including a decrease in production yields which results result in a decrease in farmers income. The risk of loss in coffee is caused by temperature and rainfall. Efforts that can be made to reduce losses are through risk transfer through agricultural insurance. The purpose of this study to analyze the effect of temperature and rainfall on coffee productivity in Indonesia and determine the insurance premium. This research uses data on coffee productivity, temperature, and rainfall from 1980-2019. The relationship between coffee productivity as a dependent variable while temperature and rainfall as an independent variable was used the Cobb-Douglas method. The results that will be obtained from this study indicate the temperature and rainfall affect coffee productivity in Indonesia, and obtain insurance issued by the farmers to the insurance companies. The results obtained from the data analysis show that temperature and rainfall have an effect on coffee productivity in Indonesia. The results of productivity predictions are used as the basis for determining the price of insurance premiums issued bye insurance companies.
Co-Authors Nugraha, Dwita Safira Riaman Riaman, Riaman Sukono . Wiliya, Wiliya