Doing research and publication in the form of scientific article is not part of teachers' duties as an educator. Conducting research particularly class action research, however, is a necessity for teachers to solve some problems experienced in class. The needs to publish an article from research result emerges from the importance of sharing research result conducting in class. This research result may solve similar problems happened in other classes and experinced by other teachers. High school mathematics teachers in Kediri city encounter difficulties in transforming research result into a scientific article. This community service program provides a training and accompaniment in writing a scientific article. This program involves some activities, i.e. (1) elucidating the structure of scientific articles and its description, (2) giving examples of scientific articles from research results, (3) practicing in writing scientific article, and (4) presenting article results from practice section. This program is expected to encourage high school mathematics teachers in Kediri city to have a scientific article and to publish the article in seminars or scientific journals.
Solving a rational inequalities is difficult for mathematics students. Many of them make a mistake when solving such problem. This research aimed to investigate and categorize a first year mathematics undergraduate student error when solving rational inequalities problem. The data were obtained from 75 students taking the course introduction to algebra, through anlysis of students response to the items of the quiz. The result showed that many students had mistake of type errorrs in inequality rules. Most of them are solving the rational inequalities by treating it as a rational equation. This mistake happen because they misunderstand about the rule of inequality while they are performing multiplication. The other mistake is of type error in writing the solution. The students didn't use number line so that leads to incorrect solution set..
The multivariate forecasting model is a model of forecasting that takes into the causal relationship between a prediction factor with one or more independent variables. This study uses multivariate forecasting model that are transfer function and neural network model. The transfer function and neural network model are used for forecasting of closing stock price data by considering the opening stock price data as the independent variable in the forecasting model. The data used in this study is the monthly closing stock price and opening stock price data of PT. Bank Central Asia, Tbk. The best model for forecasting of closing stock price is a transfer function model that has MSE, MAPE, and MAE values ??smaller than the neural network model.
Keywords: transfer function, neural network, opening stock price, closing stock price
In the analytical balance sheet of the base money monetary authority, Bank Indonesia explained that net foreign assets (NFA) affected the circulation of base money, including currency. This gives an assumption regarding the indication of a causal relationship between currency circulation and NFA. In addition to the causality test, the primary purpose of this study is to identify long-term equilibrium relationships between NFA and Currency Circulation. The cointegration test obtained r = 1, indicating cointegration (long-term equilibrium). Time series data plots of these two variables tend to have a trend and are not stationary. The Vector Error Correction Model (VECM) is applied as an analytical method used to correct long-term relationships between variables that are not stationary. However, in the concept of VECM deviation and short-term dynamics, the association is assumed to be linear. At the same time, in applying economics, the relationship between economic variables is not necessarily linear. The significance test for the presence of a threshold using a fixed regressor bootstrap shows a threshold effect or nonlinear VECM, so it is necessary to use an analytical method that can combine nonlinearity and cointegration through the Threshold Vector Error Correction Model (TVECM). In this study, modeling of TVECM 2 regimes and three regimes were carried out. TVECM 3 regimes obtain the best model with two threshold values of -310850 and -260156.
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