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Pelatihan Proposal Riset

It's pretty much the case studies of students who are late due to thesis and thesis, and even some of them drop-outs due to thesis and thesis. Prof. I Gusti Ngurah Agung (Professor of Fak. Economic UI) argues that there are 2 factors that cause the difficulty of a student in completing the final task, namely internal factor and external factor.

One of the main causes of internal factor is the perception that exaggerated the scientific work, they view that scientific work is something exceptional and need to produce something new. Meanwhile, one external factor is a constraint of a student in completing the final task is limited mentors to read or assess manuscript proposal that guided student research, so coaching process became not lanca r . Many cases of students who must repeat the study because of an error in

coaching process is structured in a comprehensive training ranging from how to prepare a research proposal to analyze research data using statistical Sotware. Besides training approach with examples of application of existing research. In this training each participant is allowed to bring his research proposal to be discussed in training . The purpose of this training to equip students in writing scientific papers is good and right.

TRAINING OBJECTIVES
1. Pesetas able to build an all-good research proposal
2. Pesera have the ability to develop own research ideas
3. Ability to analyze research data with Sotware statistics (SPSS)


Cost:
S1 Student: Rp 550.000, -
Students S2 & S3: Rp 750.000, -

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Analisa Multilevel

Keheterogenen data as the cause of the high level of error can occur because of social struktuk that exist in society. Various sampling techniques emerged one of his goals is to reduce keheterogenen in order to obtain data with smaller error rates. One of them is a multistage sampling aimed to obtain a smaller error rate due to the variance of data between hierarchies heterogen.dari enough data.

Multilevel statistical modeling is an equation model that aims to minimize errors due to data structure hirarcy. Introduced by Goldstein. Multilevel analysis can be applied to almost all fields, medicine, marketing, education, social and economic. And in a variety of scope statistikpun modeling, multilevel analysis can be applied. Is associated with experimental design, multivariate modeling, categorical data analysis and non-categorical.

Several studies have shown that the analysis of multilevel data provide a better parameter estimator with the MSE (Mean Square Error) is smaller than the analysis of multilevel data without due process.

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Analisa

Procedurally, each student / researcher will gain an understanding analysis methods used by college brief to be provided by a team of P3M. It is expected that by understanding the analysis will help the student / researcher to make the discussion of research results and as a preparation to study for exams.

Various types of statistical analysis in the offer:

• Simultaneous Equation

• Covariate Analysis

• Panel Data Analysis

• Multivariate Analysis

• Method CART (Clasification and Regression Tree)

• Log Linier

• SEM (Structural Equation Model)

• Analisa CHAID (Chi-square Automatic Interaction Detection)

• Path Analysis

• Analysis Hierarchy Process (AHP)

• Simulasi Monte Carlo With Crystall Ball

• Response Surface Methodologi

• Design of Experiment

• Analisa Deret Waktu (Forecasting)

• Regresi Komponen Utama ( Principal Component Analysis)

• Seemingly Urelated Regression (SUR)

• Analisa Regresi

• Uji Nonparametrik

• RR & OR

• Uji Chi-Square

• Uji t & Anova

• Uji Validitas dan Reliabilitas

• Multilevel Analysis

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KONTAK

CENTER OF EDUCATION AND COMMUNITY SERVICES (P3M)

UNIVERSITY OF INDONESIA

Building. Room 315 G Lt.3

FKM UI-Depok

Tel: 786 49 78

Email: p3m.konsultasi @ gmail.com

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Persamaan Simultan

In simultaneous equations, a Dependent variable in an equation can become independent variables in the equation the other. For example an investment of a country affected by exchange rates, crude oil prices, and export value. On the other hand the exchange rate is strongly influenced by the value of an investment.

; Investment = Exchange + Oil + Exports ................. (1)

; Exchange = Investment ; ; ................. (2)

Thus, in simultaneous equations, the term dependent variable and independent variables become endogenous and exogenous variables.

few Analysis Techniques in Simultaneous Equations:

1. ILS (Inderect Least Square)

2. 2-SLS (Two-Stage Least Square)

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Analisa Data Panel

panel data analysis is a combination of time series analysis and economic growth data sample crossection.Sebagai provinces in Indonesia is year 2005-2009. Crossection element lies in the economic data in 33 provinces and the element of time series is the timeframe of 2005-2009.

Some existing analysis techniques in panel data.

1. Ordinary Least Square

In this method of panel data transformed into crossection data by combining data into one observation unit and eliminate the element of time series.

2. Fixed Effects Model (Fixed Effects)

umumny This model assumes the possibility of differences in intercept due to the influence of time. In addition there is the possibility of differences in intercept time due to individual factors.

3. Random Effects Model (Random Effects)

If the fixed model (fixed model), the difference is reflected through the influence of intercept, the random model diperdaan accommodated via Error. Random model is used when the use of models led to extravagance on the degree remains free because too many parameters to be estimated.

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Analisa Covariate

In a causal analysis for survey research, sometimes there are confounding factors that are not included in the concept of our research and its influence was so great that damage the hypotheses that have been made. By covariate analysis, influence of these confounding factors try to remove.

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Analisa Multivariate

Describing an object is not enough just to one variable only. Number of variables used to describe the object in detail requires a fairly sophisticated analysis techniques. Analysis techniques to describe an object that involves many variables called multivariate analysis. Some multivariate analysis offered:

• Manova
• Cluster Analysis
• Principal Component Analysis (Principal Component)
• Factor Analysis
• Correspondence Analysis Biplot
• Discriminant
• Canonical Correlation
• And MDS (Multidimensional Scaling)

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Metode CART (Clasification and Regression Tree)

Represents the newest generation of CHAID analysis are included in the decision tree analysis. The advantages of the CART method is capable of classifying continuous data and ordina l, while CHAID only for nominal data (Category).

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Log Linier

log-linear model is one special case of Generalized Linear Models for data that has a Poisson distribution. Log-linear analysis is an extension of two-way contingency table in which the Chi-square analysis not be optimally utilized to analyze because it is unable to provide allegations effects variables.

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SEM (Structural Equation Model)

SEM (Structural Equation Model) is a causal analysis model that can display a comprehensive model together with ability to confirm the dimensions or factors of a concept that was tested through empirical indicators. SEM analysis is a combination of factor analysis (Confirmatory Factor Analysis) and regression analysis. His ability to analyze a complex model that makes the SEM is widely used in various fields of application. Generally SEM analysis is used to test a theoretical concept .

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Analisa CHAID (Chi-square Automatic Interaction Detection)

In the field of marketing, market segmentation becomes important for the company's business strategy. CHAID method as a segmentation method based on data via search category interaction (relationship) between the response variables and explanatory variables through the rule of Chi-Square, as well. is an exploratory method to determine the variable-dominant explanatory variables explaining the response variable, through the presence or absence of interaction between categories.

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Path Analysis

Expression of variance, covariance and correlation can be seen directly from the causal diagram that has been modified. The basic principle of causal diagram is known as Path Analysis 1910an developed in the 1920s and followed by a biological scientist named Sewall Wright.

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Simulasi Monte Carlo

Simulation Monte Carlo simulation mrupakan type often known as the Sampling Simulation. The simulation was looking into the possibility of parameters based on sampling data. Crystal Ball is a software which works on Microsoft Exel environment that serves as a program to run the Monte Carlo simulation. This simulation is much used to analyze the risk of a system which is non-dynamic. One application of this simulation is widely used to analyze financial uncertainty of an investment activity.

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Analysis Hierarchy Process (AHP)

A weighting method to find indikotar dominant / important or priority based on the value of KPI (Key Performance Indicator) from a menacing problem hirarcy.

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Response Surface Methodologi

Represents the method to find the optimal response of an experimental design, where treatment was observed more than one variable.

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Design of Experiment

In experimenting thing to note is how we are able to minimize the environmental impact for the resulting response is exactly the effect of treatment given. Apart from the influence of environmental mempekecil, another thing to note is keortogonalan design that was designed to avoid collinearity treatment.

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Analisa Deret Waktu (Forecasting)

The data pattern is formed on the historical data allows us to perform forecasting into the future. Several forecasting methods are offered:

• Smoothing (moving average, weighted / exponential moving average, single / double smoothing)
• univariate model (ARIMA, and ARCH-GARCH SARIMA)
• multivariate Model (Vector Auto Regression, VAR)

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Regresi Komponen Utama ( Principal Component Analysis)

In regression analysis one of the assumptions that must be met is multicollinearity, which should be mutually inter Independent free. If there is multicollinearity, will lead to inefficient estimates of the parameters causing these parameters become insignificant. Principal Component Regression is one alternative method to resolve the issue.

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SUR

Sur (SEEMINGLY UNRELATED REGRESSION)

Memadang some similarities as a general system cause the correlation between errors. Due to this koelasi will cause the estimates of the parameter becomes less efficient which formed a large variance. Methods sur trying to streamline the estimated parameters in the equations that form the system.

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Regresi

REGRESSION ANALYSIS

Various types of regression analysis offered by the Statistical Consultation P3M-UI

1. simple and multiple linear regression
2. Logistic Regression
Multinomial Regression Ordinal Regression
Poisson Regression

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Nonparametrik

nonparametric test

testing procedure is performed on numerical data katagorik and categories that do not meet the assumption of normality homogeneity of data and data .

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RR & OR

relatively Rist & ODD RATIO

analysis is used to compare the proportion of the risk of an incident. This analysis is a series of cross tabulation and analysis on dilakukakan along with Chi-square test.

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Uji Chi-Square

CHI-SQUARE TEST

Generally used to test freedom between groups of samples in cross tabulation (cross tabulation), which is the frequency data. Generally known as the Chi-square test of the relationship between the two groups of nominal scale variables.

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with private loans without using certificates when you can not prove a high permanent income, or find ourselves on the blacklist BIK-in, making it harder for us to get credit or loan at the bank.