Dampak transaksi non tunai terhadap perputaran uang di Indonesia

The objective of this study was to analyze the impact of the use of electronic money (e-money) to the velocity of money in Indonesia. The use of this payment instrument makes consumers easy to pay, thereby increasing the level of consumption. Data used is the nominal of transaction in 2013 to 2017 from Bank Indonesia database. The method in this study used regression model with OLS (Ordinary Least Square) estimate. The finding in this study showed e-money transactions consisting of the nominal e-money transactions, nominal ATM-Debit card transactions and nominal credit card transactions partially no significant effect on the velocity of money in Indonesia

Estimated Birth Weight by current Weight-and Age During the First Five Days of Life

In the developing countries, measurement of birth weight is subjected to methodological problems. The main issue is the difficulty of measuring birth weight soon after delivery. Two relevant questions are proposed by this study : 1) can a birth weight be estimated several hours or days after a baby was delivered ?, and 2) can an estimated birth weight be collected by paramedical personnel with reliable results? To answer these questions, we conducted a study at Dr. Sardjito Hospital, Yogyakana, to evaluate agreement between two paramedical personnel in the routine measurements of neonatal weight in the rooming-in ward. The behavior of these two paramedical personnel was observed from one month when they examined 32 neonates. Both of them weighed the neonate at 7.00 hours and one weighed the neonate at 15.00 or 21.00 hours. The order of the last two measurements was made alternatingly. This resulted in 156 pairs of measurement for agreement analysis. There was a strong evidence that the two raters have almost perfect agreement on measuring neonatal weights (intraclass correlation coefficient = 0.978). The second part of this study looked at neonatal weight during the first five days of life. The neonatal weights were measured three times a day up to age of the days. We constructed a formula for estimating their birth weight based on a current neonatal weight and age in days. Birth weight can be estimated using formula : Birth weight ; 51 + 1. 029 x current weight - 10 x age in days. The data fitted very well to this least square estimate with a coefficient of determination (R) = 0.95.

Weighted Semiparameter Model and Its Application

A weighted semiparameter estimate model is proposed. The parameter components and nonparameter components are weighted. The weights are determined by the characters of different data. Simulation data and real GPS data are both processed by the new model and least square estimate, ridge estimate, and semiparameter estimate. The main research method is to combine qualitative analysis and quantitative analysis. The deviation between estimated values and the true value and the estimated residuals fluctuation of different methods are used for qualitative analysis. The mean square error is used for quantitative analysis. The results of experiment show that the model has the smallest residual error and the minimum mean square error. The weighted semiparameter estimate model has effectiveness and high precision.

The Chemical Kinetic Numerical Computation and Kinetic Model Parameters Estimating of Parallel Reactions with Different Reaction Orders

Parallel reaction is a common reaction of chemical kinetics, and there are two types of parallel reactions according to the reaction orders equivalence: parallel reactions with same reaction orders and parallel reactions with different reaction orders. For the reason that the reaction orders are different, the chemical kinetic numerical computation and kinetic model parameters estimating of parallel reactions with different reaction orders is more complicated than parallel reactions with same reaction orders. In this paper, the 4th order Runge-Kutta method was employed to solve the numerical computation problems of complex ordinary differential equations, which was the chemical kinetic governing equations of parallel reactions with different reaction orders, and also, the Richardson extrapolation and Least Square Estimate were employed to estimate the kinetic model parameters of parallel reactions with different reaction orders. A C++ program has been processed to solve the problem and has been tested by an example of parallel reactions with different reaction orders.

New Method of WSN Node Localization Based on MSVD

Node localization technology is one of the important research areas in Wireless Sensor Networks (WSN) applications. The coordinates of the unknown nodes can be determined by the Least Square Estimate (LSE), which is commonly used in WSN node localization. But in the experiments and applications, it is discovered that different spatial positions sometimes lead to large errors. This phenomenon is studied and it is found that the WSN node localization is an ill-posed problem. It is proposed that WSN nodes localization should be diagnosed by the condition number. If the ill-posed problem degree is weak, the node can be localized by LSE method. But if the ill-posed degree is serious, the eigenvalue close to zero should be diagnosed and the node is localized by the method of Modified Singular Value Decomposition (MSVD) Regularization. Test results indicate that the proposed mothod of WSN localization based on MSVD weaken the influence of the ill-posed problems, reduces the location errors to around 3 meters, and improve the accuracy of localization.

On the output theorem of queueing theory, via filtering

We prove and extend Burke's output theorem for queues in equilibrium with the help of a filtering formula giving the time evolution of the least square estimate of the state with respect to the output.

On the output theorem of queueing theory, via filtering

We prove and extend Burke's output theorem for queues in equilibrium with the help of a filtering formula giving the time evolution of the least square estimate of the state with respect to the output.