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.

Social interaction in adolescents in the modern era is influenced by several factors in life, one of which is addiction to playing online games. This study aims to determine the relationship between factors addicted to playing online games on social interaction in teenagers. The data used in this study are primary data which are the results of questionnaires. The data processing technique used in this study is canonical correlation analysis. The sample in this study were adolescents aged 13 to 21 years and living in the city of Denpasar, with a total sample of 150 adolescents. The results showed that the addiction factor playing online games had a significant effect of 0.0000019 on social interaction in adolescents with a close relationship of 0.8058964.

Contract options are the most important part of an investment strategy. An option is a contract that entitles the owner or holder to sell an asset on a designated maturity date. A binary or asset-or-nothing option is an option in which the option holder will perform or not the option. There are many methods used in determining the option contract value, one of this is the Monte Carlo Quasi method of the Faure random. The purpose of this study is to determine the value of binary type option contract using the Quasi Monte Carlo method of the Faure random and compare with the Monte Carlo method. The results of this study indicate that the option contract calculated by the Monte Carlo Quasi method results in a more fair value. Monte Carlo method simulation 10.000 generate  standard error is 0.9316 and the option convergence at 18.9144. While Quasi Monte Carlo simulation  3000 generate standard error is 0.09091 and the option convergence at 18.8203. This show  the  Quasi Monte Carlo method reaches a faster convergent of Monte Carlo method.

The graduate profile shows the competencies of the graduate. Not all students are able to complete their studies within the specified study period. Some students are threatened with dropping out (DO) because within the maximum time limit given, which is 7 years for undergraduate degrees, they are still unable to complete their studies. This condition has a negative impact on student graduation on time which negatively affects to the assessment of study program accreditation. To anticipate this condition, it is necessary to know what obstacles students made they are unable to complete their studies on time. The information obtained can be used as a guide in anticipating no more students exceeds study period. The purpose of this study was to determine the graduation of undergraduate students of FMIPA Udayana University and the factors that influence student graduation. The research sample was taken using purposive sampling technique of FMIPA, Udayana University graduation period January 2002 to January 2019. Data analysis used statistics descriptive and exploratory factor analysis. The graduation data of FMIPA undergraduate students, there was 2710 students, 2190 (81%) was able to complete studies no more than five years and 514 students (19%) more than five years. There is significant dependency between study period with gender and study program. There are two intellectual factors that influence student graduation not on time, namely the knowledge and skills factor with an explainable diversity of 63.2%.

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