At the time of the Covid-19 pandemic, all learning was carried out online or online learning, while schools and students had to follow the existing curriculum in their schools, which of course not all of their lessons were happy. Mathematics is one of the subjects that is always a scourge for students, regardless of those who enjoy mathematics. The reasons vary, some say the lessons are difficult to understand, students are not interested in learning mathematics, the teachers are boring, and so on. So that many parents of students who provide additional tutoring for their children by hiring math teachers, in the hope that their children are mathematically intelligent. This study aims to examine the effect of using animated interactive multimedia on students' understanding of the concept of understanding mathematical concepts. The population of this study were students of class VII MTs Darul Ulum Muhammadiyah Galur even semester of the 2019/2020 school year. Of the five existing classes, two classes were taken randomly as samples with one class as the experimental class and one class as the control class. This study used the randomized pretest-posttest control group design. The research data were obtained through a test in the form of a description of the rectangular and square material. The results showed that there was a difference in the understanding of mathematical concepts in students who used animated interactive multimedia higher than the understanding of mathematical concepts of students who took conventional learning, and there was a positive and significant effect of the use of animated interactive media on the Mathematical Concept Understanding of Class VII MTs Darul Ulum Muhammadiyah Galur Tahun Students 2019/2020 Teaching

The paper intends to describe how English-as-aforeign-language lecturers succeed and fail to apply the assessment as learning in programs of teaching and learning English as a foreign language in higher education. The explanatory mixed-methods were conducted to survey 57 respondents in the higher education institutions in the Special Province of Yogyakarta, Indonesia and to interview 8 respondents in the high-level group of applying the assessment. Two criteria of success and failure are (1) to promote active and proactive learning and (2) to result in a good learning outcome. The findings indicate that some of the lecturers succeeded in promoting active and proactive learning of peer assessment, self-assessment, self-reflection in and outside the classrooms, and no criteria compliance, providing oral and written feedback to students, and resulting in good final grades. A lecturer failed to apply the assessment for her limited knowledge, and some lecturers failed because of their low achieving students and had no time to give feedback.

This article examines the estimation of spline regression, especially its use in longitudinal data. Longitudinal data is data obtained based on observations made as many as n objects that are independent with each object being repeatedly observed in different time periods and between observations in the same object are dependent besides longitudinal data is data that can distinguish the diversity of responses caused by The regression curve of the spline was estimated using the least squares. It can be seen that the estimation of the spline regression curve for longitudinal data is a class of linear estimation in response observations and is highly dependent on the knots point k1,k2,...,Kn

This study attempts to explain what distribution of opportunities is in accordance with population growth if a family must have sons and evaluate policies based on the data obtained. The distribution of opportunities according to population growth if a family must have sons is a geometric distribution. For n families, the binomial distribution is used to measure the success rate of the government. If the chances of having a baby boy are high, then the chances of the one-child policy will be successful. In addition, the one-child policy in China was a policy implemented during the Deng Xiaoping administration in 1979 until it was finally abolished at the end of 2015. The decision to abolish this policy is of course a very interesting matter because this policy has been implemented for more than three decades and has succeeded in driving economic growth and improving the standard of living of the Chinese people. After more than three decades of implementation, various social and economic impacts have been felt by China as a result of the one-child policy. The low fertility rate in China, the imbalance of the sex ratio, and the aging population are new problems facing China because of the implementation of this policy. Taking into account these effects, the Chinese government officially abolished the one-child policy and implemented a new policy that allows every couple in China to have two children

Multiple myeloma is an infectious disease characterized by the accumulation of abnormal plasma cells, a type of white blood cell, in the bone marrow. The main objective of this data analysis is to investigate the effect of Bun, Ca, Pcells and Protein risk factors on the survival time of multiple myeloma patients from diagnosis to death. In the survival data analysis, the observed random variable T is the time needed to achieve success. To explain a random variable, the cumulative distribution function or the probability density function can be used. In survival analysis, the function of the random variable that becomes important is the survival function and the hazard function which can be derived using the cumulative distribution function or the probability density function. In general, it is difficult to determine the survival function or hazard function of a population group with certainty. However, the survival function or hazard function can still be approximated by certain estimation methods. The Kaplan-Meier method can be used to find estimators of the survival function of a population. Meanwhile, to find the estimator of the cumuative hazard function, the Nelson-Aalen method can be used. From the variables studied, it turned out that the one that gave the most significant effect was the Bun variable, namely blood urea nitrogen levels using both the exponential and weibull distribution. However, by using the weibull distribution, the presence of Bence Jones Protein in urine also has a quite real effect