This research intended to develop the mathematics learning device with Project Based Learning which based on Learning Community and presents the effects of developing problem solving on project-based learning by providing different cases secondary level students (SMK) (n = 84). The purpose of this article is to understand clearly and deeply how the learning methodology can influence the process and learning outcomes. Project based learning by solving different problems is possible to develop creative ideas while increasing highly developed skills. The fact shows that their average of problem solving skill is still relatively low. Therefore, in this study, we will apply project-based learning to improve their problem solving. This type of research is a mixed method, which combines quantitative and qualitative research. The quantitative method is used to analyze student learning outcomes, while the qualitative method is used to analyze students’ mathematical problem solving. The Respondents in this study consist of three classes, namely two experimental class of 56 students and a control class of 28 students. The research shows that pre-test result of both classes indicates that the three classes are homogeneous. While the post-test result shows that the average of the three classes is significantly different. The inferential statistic result of independent sample t-test of students learning outcomes post-test shows that the sig (2-tailed) is 0.00 (p ≤ 0,05), thus it is significant. Furthermore, Due to the significance value is less than 0.05, it means that H0 is rejected; H1 is received. Therefore, the learning outcomes of students’ problem solving abilities in the experimental class are better than the control class.

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The confirmed number of positive Covid 19 cases in Indonesia until June 15th, 2020 was 38.227 people with 3.134 dead, case fatality rate 5,9%. Case fatality rate is the percentage of the number of dead people from all confirmed and reported positive cases . Particularly, in Jember Regency, the spreading of Covid 19 is still underway day by day with the increasing of number of patient so that appropriate preventive and treatment should be done precisely. The problem of the paper is the survival analysis of Covid 19 patient by using Kaplan Meier and Log Rank test method. The result of this paper, the result of the analysis using Kaplan Meier Curve method, patients with male sex have a chance of recovering faster compared with female patients and patients with age interval of 40-49 years have a chance of recovering faster than any other age intervals, meanwhile Log rank test did not provide significant results. So the Kaplan Meier Curve method is more appropriate to analyze Covid 19 patient data in Jember compared to the Log rank test.

<p>Cox proportional hazard model is a regression model that is used to see the factors that cause an event. The survival analysis used in this research is the period of time the client is able to pay the life insurance premium using Cox proportional hazard model with Breslow method.The purpose of this research is to know how sex, age, insured money, job, method of payment of premium, premium, and type of product can influence the level of ability of client to make payment of life insurance premium based on customer data from PT. BRI Life Insurance Branch of Jember in 2007.The result of this research is the final model of Cox proportional hazard obtained from several variables which have significant influence with simultaneous and partial significance test is the variable of insured money (<em>X₃</em>), variable of payment method of premium (<em>X₅</em>), premium variable (<em>X₆</em>) , and insurance product variable (<em>X₇</em>) . The four variables are said to have a significant effect on the model, so that the final model of Cox proportional hazard is obtained that consists of the parameter estimation (<em>β</em>) value of each variable</p><p> </p><p><strong>Keywords</strong><strong> : </strong>survival analysis; cox proportional hazard model; breslow method; life insurance.</p>

<p>Cash flow is a form of financial report that is used as a measure of the company success in the investment world. So that companies need to forecast the cash flow to manage their finances. Statistics can be applied for the forecasting of cash flow using the <em>Support Vector Machine </em>(SVM) method on the time series data. The aim of this research is to determine the optimal parameter pair model of the <em>Radial Basic Function</em> kernel and to obtain the forecasting results of cash flow using the SVM method on the time series data. The independent variable is needed the data on cash flow from operating income, expenditure and investment expenditure, sum of all cash flow. While the dependent variable is the financial condition based on the <em>Free Cash Flow</em>. The result of this research is a model with the best parameter pairs of the SVM tuning results with the greatest accuracy that is 75%, 82%, 88%, 64% and the forecasting financial condition of PT Cakrawala for the next 16 months.</p><p><strong>Keywords: </strong>cash flow, forecasting, time series, support vector machine.</p>