Model Analysis of Customers\u27 Attitude and Behaviour Upon Instant Noodle Products

This research aims to figure out the attitude and behavior of theconsumers upon instant noodles, and to find out a relative value of affectingattributes. Data resources of this research have been obtained from 200respondents in south of Jakarta. The research has applied statistics analysiscovering the analysis of multi attribute model of Fishbein, subjective norms andtheory of reasoned action. The result of fishbein attitude analysis is as follows; fromthe four attributes being evaluated, the most important one is taste variety of 2.57scores, then easy to cook of 2.54 scores, ‘halal\u27 (free from pig substance) of 2.48scores and easy to get the product of 2.46 scores. The smallest value is given to thepackaging attribute of 1.58 scores. It has explained that the respondents haveconsidered that the packaging attribute is not as important as the other attributes.Nevertheless its scoring is still within an important category. Refers to the four randseing evaluated and refers to the ehavior model anal sis, ndomie has hadpositive ( > 0 ) category, it means that the consumers\u27 ehavior for this product isgood or positive, so Indomie has gained the biggest value of 76.65 comparing withother brands. Obviously the consumers prefer to buy Indomie more than the otherbrands. The marketing strategy has applied the following efforts; as a product leader,it has to maintain the most important attribute given by the respondent; as acompetitive product, it has to find out the weaknesses of the leader trustworthy value.However as the follower, it has to improve the respondents\u27 trust for the attri utesbeing evaluated by imitating or equalizing the product leader

Model Analysis of Motorcycle Suspension System Using the Fourth Order of Runge-Kutta Method

The suspension system is part of motorcycle that serves to absorb vibration and shocks of the road surface so as to improve the safety and comfort while driving. Motorcycle typically use double shockbreaker system which analogous to a two-spring system arranged in parallel. The aim of this researh is to analyze the model of the model of double shockbreaker motorcycle suspension system that working without outside force using passive suspension system. The data used are from damper tester experiment, then model analyzed using analytical method and the fourth order of numerical Runge-Kutta method. This research use shockbreaker observation datas that is the measurment data of spring constant and damping constant by performing damper tester using 4 different loads. The process model analysis using Matlab R2013a. Input variables are spring constant, damping constant, and the mass of the load. Methods of analysis using analytical method and the fourth order of Runge-Kutta method. While the resulting outputs are 2 spring constants, change the length of the spring, damping ratio, the optimal damping of the suspension, and the spring deflection chart against time. This model motorcycle suspension system uses solution of differential equations for the under damped suspension condition, that is the suspension system will be insulated a few moments before reaching the equilibrium position. Therefore, the resulting damping rate of the motorcycle is not optimal yet. This study found the optimal damping for each model of the suspension system. The level of accuracy of the fourth order of runge-kutta method for model analysis of the suspension system is quite high with error <0.1 and the timing of analysis is faster than the analytic method. Future research may use other methods or other input variables for more accurate analysis results

Relative Valuation Model Analysis of Idx

There are various valuation models can be used by investors in order to predict the stock value. This paper focuses on the Relative Valuation Model, which is the popular model used by investors as it is easier to use compared to other models. The aim of this paper is to compare the prediction accuracy of various ratios in the model. Ratios examined in this paper are Price to Earning (PE), Price to Book Value (PBV), Price to Cash Flow (PCF), and Price to Sales (PS). Using the LQ45 listed stocks during period 2006 – 2010, it is found that, overall, PBV appears to be the best ratio to predict LQ45 stocks in Indonesian equity market. However, mixed results are found in the yearly analysis, in which PE, PBV, and PCF result in lower prediction errors, in different years. In the sector industry analysis, both PE and PBV are the best predictors in three sectors each. The descriptive analysis is supported by the hypo research testing that shows the accuracy of examined ratios is different. The research result implication is that investors should take time and sectors into the account before choosing a single ratio as a predictor

Hadron physics: a quark-model analysis

We discuss recent results on heavy and light baryon spectroscopyComment: Talk given at the 6th International Conference on Perspectives in Hadronic Physics, Trieste, Italy, 12-16 May 200

Representing uncertainty on model analysis plots

Model analysis provides a mechanism for representing student learning as measured by standard multiple-choice surveys. The model plot contains information regarding both how likely students in a particular class are to choose the correct answer and how likely they are to choose an answer consistent with a well-documented conceptual model. Unfortunately Bao's original presentation of the model plot did not include a way to represent uncertainty in these measurements. I present details of a method to add error bars to model plots by expanding the work of Sommer and Lindell. I also provide a template for generating model plots with error bars.Comment: Accepted for publication in Phys. Rev. Phys. Edu. Res. Published version will include supplementary file

Model Analysis of Leadership and Work Discipline Against Revenue Service Performance Improvement

In serving employees are expected to carry out all thetasks that have been given with full responsibility, and isalso expected to have a high loyalty and dedication inpractice no exception for apparatus or employees whoserve in the community. The dynamics of a very diversecommunity today demanded that the apparatus / employeein order to work optimally in providing services to thepublic. Implementation of a breakthrough in efforts toexpand the authority to explore sources of revenue shouldbe directed as much as possible for the benefit of theregion and the efforts that led to improved quality ofhuman resources should be based on the proportionality ofthe capabilities and acceptability continue. Not only that,the efforts of others to do as directing employees to theprofessionalism in terms of appropriate staffing agencyneeds gradually and surely must be based on objectivityand proportionality of the capabilities and acceptabilityauthorities concerned to accelerate the achievement oforganizational goals

Folding model analysis of alpha radioactivity

Radioactive decay of nuclei via emission of $\alpha$ particles has been studied theoretically in the framework of a superasymmetric fission model using the double folding (DF) procedure for obtaining the $\alpha$-nucleus interaction potential. The DF nuclear potential has been obtained by folding in the density distribution functions of the $\alpha$ nucleus and the daughter nucleus with a realistic effective interaction. The M3Y effective interaction has been used for calculating the nuclear interaction potential which has been supplemented by a zero-range pseudo-potential for exchange along with the density dependence. The nuclear microscopic $\alpha$-nucleus potential thus obtained has been used along with the Coulomb interaction potential to calculate the action integral within the WKB approximation. This subsequently yields microscopic calculations for the half lives of $\alpha$ decays of nuclei. The density dependence and the exchange effects have not been found to be very significant. These calculations provide reasonable estimates for the lifetimes of $\alpha$ radioactivity of nuclei.Comment: 7 pages including 1 figur

Halo Model Analysis of Cluster Statistics

We use the halo model formalism to provide expressions for cluster abundances and bias, as well as estimates for the correlation matrix between these observables. Off-diagonal elements due to scatter in the mass tracer scaling with mass are included, as are observational effects such as biases/scatter in the data, detection rates (completeness), and false detections (purity). We apply the formalism to a hypothetical volume limited optical survey where the cluster mass tracer is chosen to be the number of member galaxies assigned to a cluster. Such a survey can strongly constrain $\sigma_8$ ($\Delta\sigma_8\approx 0.05$), the power law index $\alpha$ where $= 1+(m/M_1)^\alpha$ ($\Delta\alpha\approx0.03$), and perhaps even the Hubble parameter ($\Delta h\approx 0.07$). We find cluster abundances and bias not well suited for constraining $\Omega_m$ or the amplitude $M_1$. We also find that without bias information $\sigma_8$ and $\alpha$ are degenerate, implying constraints on the former are strongly dependent on priors used for the latter and vice-versa. The degeneracy stems from an intrinsic scaling relation of the halo mass function, and hence it should be present regardless of the mass tracer used in the survey.Comment: 27 pages, 11 figures, references adde

Model analysis of adaptive car driving behavior

This paper deals with two modeling approaches to car driving. The first one is a system theoretic approach to describe adaptive human driving behavior. The second approach utilizes neural networks. As an illustrative example the overtaking task is considered and modeled in system theoretic terms. Model results are used to teach a neural network. The results show that a neural network is able to learn this task even when certain task variables change. The next step is to perform an experiment with real human operators in order to assess the validity of both modeling approaches and their relative meri