E jurnal Matematika

311-316

Authors: Eka Virgia Purwanti, Desak Putu Eka Nilakusmawati, Ni Made Asih

The success of student learning is influenced by several factors such as learning motivation and student activeness in the organization. Each factors has several indicators. This research aims to see the relationship of learning motivation and activeness in the organization of learning outcomes,as well as to know indicators have the greatest real impact. The data used is the primary data in the form of questionnaires distributed, and secondary data in the form of the results of student report cards grade XI IPA academic year 2016/2017 in SMAN 2 Kuta. The research method used to process the data using Canonical Correlation Analysis. The results showed that the factors of learning motivation have a real effect of 0.00000000 on student learning outcomes with the closeness of the relationship of 0.7462935.. While the activeness in the organization does not have a real effect on learning outcomes. Passion and desire are the indicators of learning motivation which have the greatest influence among the other indicators with the closeness of the relationship of 0.5798190.

322-329

Authors: A.A Dwi Marsita Anggraeni, Komang Dharmawan, Desak Putu Eka Nilakusmawati

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.

339-345

Authors: Gede Ary Prabha Yogesswara, Eka N. Kencana, I Komang Gde Sukarsa

Partial least squares (PLS) regression and least absolute shrinkage and selection operator (LASSO) are the regression analysis techniques used to overcome the problems that can not be solved by ordinary least squares (OLS). The purpose of this research is to model and compare the performance of both PLS regression and LASSO to the diabetes mellitus study data which is divided into 30 groups of data redundancy as an example of microarray data. The survival time of diabetes mellitus patients as dependent variable while age, sex, body mass index, blood pressure, and six blood serum measurements as independent variables. By using paired sample t-test of adj R2 value, the result of this research concluded that the mean of adj R2 value of PLS regression is smaller than the mean of adj R2 value of LASSO. In other words, the performance of LASSO is better than PLS regression.

357-363

Authors: Ni Made Nita Astuti, Komang Dharmawan, Tjokorda Bagus Oka

The barrier option is an option whose payoff depends on whether the underlying asset touches the barrier or not during the lifetime of the option. The determination of the barrier option requires a numerical approach, one of which is the Binomial Tree model. The purpose of this study is to determine barrier option type down and out call on a static hedging using the Binomial Tree model and compare it with the analytic value. The results show that the increases in strike price would decrease the option value. Moreover, values from 80 periods using the Binomial Tree model for the four strike prices are close to analytic with error less than or equal to 0.00182.

371-376

Authors: Dian Rahman, I Wayan Sumarjaya, I Komang Gde Sukarsa

Every year fish consumption in Indonesia always increases. Basis landing of fish (PPI) Kedonganan is one of the ports where the ships docked and take part in economic activities of fisheries in Bali. The aim of this study is to forecast the amount of fish production so that the fish production can be managed. Some methods that can handle seasonal factors in time series forecasting include Holt-Winters exponential smoothing and ARIMA. The results show that ARIMA(2,0,4)×(3,1,2)12 yields RMSE is 89,358 and MAPE is 0.81% whereas the value of fish outcomes prediction using Holt-Winters exponential smoothing method yields RMSE is 119,158 and MAPE is 1.14%.