CHAPTER III

RESEARCH METHOD

3.1 Research Design

The method used in this research was quantitative research. Quantitative

research is research collecting data using statistical data calculations. The design

in this quantitative method is a research with experimental design. This study

analyzes the effect of the independent variable and the dependent variable. The

dependent variable is the experimental research class that gets treatment from the

research.

Table 3.1 Research Design

Pre-Test Treatment Post-Test

Experimental Group By using Somatic, Experimental Group
Auditory, Visualization,
and Intellectually (SAVI)
Learning Model
Control Group Without using Somatic, Control Group
Auditory,Visualization,
and Intellectually (SAVI)
Leraning Model

3.2 Population and Sample

3.2.1 Population

Population is a group of elements or cases, whether individuals, objects, or

events, that fit certain criteria and we mean to generalize research results.
Population in this research involved the whole is two class that the research apply

SAVI learning model in grade five students of SD Agung Persada Bandar

Khalipah. They possessed several homogenous characteristics such as the same

age, level, burden of learning, ability and etc.

Table 3.2 The Number of Population

No Class Population
1 V-A 31
2 V-B 28
Total 59
Source : SD Agung Persada Bandar Khalipah

3.2.2 Sample

The sample of this study was V-A of SD Agung Persada that consisted of 31

students. In selecting the sample, the research used purposive sampling as a

technique to determine the sample. Purposive sampling is a technique to

determine the sample with a certain aims in accordance to needs ofthe research

with a certain characteristics.

Table 3.3 The Sample of Research

Number Group Students Classes

1 Experimental 31 V-A
2 Control 28 V-B

3.2.3 Treatment

Table 3.4 The Treatment In The Experimental Class

First Meeting
 Opening

The teacher gives greeting to the students.

• Main Activity
Stimulation
• The teacher ask students to introduce themselves.
• The students introduced themselves one by one.
Problem Statement
• Students have difficulty pronouncing vocabulary in English.
Data Collection
• Students are asked to write about down family their, on paper.
 Closing

- The teacher ask students if they have difficulty learning English.

The teacher ends the first meeting.

Second Meeting
 Opening

The teacher gives greeting to the students.

• Main Activity
Data Processing
- The teacher explanation material to students.
- Students are asked to read the material provided.
Verification
- The teacher gives directions about the introduce of object around.
Generalization
- Students are ask to write about the types things around.
 Closing

The teacher ends the second meeting.

Third Meeting
 Opening

The teacher gives greeting to the students.

Main Activity
Explanation
- The teacher provides an explanation of the pronunciation about family.
- The teacher applies the SAVI learning model
 Closing

The teacher ends the third meeting.

Fourth Meeting
 Opening

The teacher gives greeting to the students.

 Main Activity

Creating
- Students are asked to answer the question sheets given by the teacher.

Share
Students write their answers related to pronunciation.
 Closing

The teacher ends the fourth meeting.

3.5. The Treatment In The Control Class

Meeting Teacher’s Activity Student’s Activity

I Opening • Students answer
• The teacher greets greetings.
students. • Students
• The teacher asks introduce themselves.
students tointroduce • Students
themselves. introduce in English.
Main Activity • Students pay
• The teacher ask attention to the teacher's
what pronunciation the explanation.
students know. • Students write
• The teacher what the teacher explains.
discusses pronunciation.
• The teacher
explains the
pronunciation in English.
• The teacher
provides the students
with topics to spell
pronunciation.
 Closing
The teacher ends the
lesson and tells the next
meeting activity.

II Opening
• The teacher greets
students.
• The teacher asks
students to understand the
previous material.
Main Activity
• The teacher asks
students to spell the given
pronunciation name
themselves
Closing
The teacher ends the
lesson and tells the next
meeting activity.

III Opening • Students answer

• The teacher greets greetings
students. • Students tell what
• The teacher ask difficulties were learned
about the previous lesson. before.
Main Activity • Students pay
• The teacher asks attention to the teacher's
students to write down explanation and students
the meaning of the write down the meaning
speaking given. of the speaking given.

Closing
The teacher ends the
lesson and tells the next
meeting activity.

IV • The teacher greets • Students answer

students. greetings.
• The teacher asks • Students discuss
about difficulties when difficulties in writing
 pronunciation in english down the meaning of
Main Activity pronunciation.
• The teacher gives • Students
the question sheets to the understand the question
students. sheet given.
• The teacher asks • Students began to
students to answer it. answer.
Closing
The teacher ends the
lesson.

3.5 Research Instrument

Research instrument is a tool for measuring, observing, and documenting

the quantitative data (Creswell, 2014). In this study, the data collection instrument

used two tests, namely pre-test and post-test. These results are also used to see

whether the learning model used is going well or not.

3.6. Reliability and Validity of Instruments

3.6.1. Realibility

According to Sugiyono (2018: 174), instrument reliability is a requirement

for testing the validity of the instrument. Therefore, although a valid instrument is

generally definitely reliable, testing the reliability of the instrument needs to be

done. A reliable instrument is an instrument that, when used several times to

measure the same object, will produce the same data. To find out which test is
reliable and valid, the reliability test is analyzed using the Kuder Richardson 20

formula proposed by Sugiyono (2018: 186) as follows:

st 2−∑ piqi
ri=
k
(k−1) { st 2 }
Where:

k : the number of item in the instrument

pi : proportion of the number of subject who answer item 1

qi : 1-pi

St2 : the number of variant

The value of realibility coefficient (Guilford, 1956) as he following:

0,80 – 1,00 : the realibility is very good

0,60 – 0,80 : the realibility is good

0,40 – 0,60 : the realibility is significant

0,20 – 0,40 : the realibility is low

-1,00 – 0,20 : the realibility is very low (Not reliable)

3.6.2 Validity

According to Sugiyono (2018: 173), a valid instrument means the measuring

instrument used to obtain data (measure) is valid. Valid means that the instrument

can be used to measure what should be measured. In this study, the validity test

aims to determine the accuracy of the items to measure the social environment,

organizational activeness and social competence of students.

 The SPSS testing technique was often used to test validity using

Bivariate Pearson correlation (Pearson Moment Products). Product

moment correlation formula from pearsons used:

n Σ xy− ( Σ x ) ( Σ y )
rxy = √¿¿¿

Pearson Moment Products formula:

rxy = Is the product of the total amount of variable x and the total amount of

variable y

N = Is the number of data pairs X and Y

ΣX = Is total of the variable X

ΣY = Is total of the variable Y

ΣX2 = Is squared total amount of variable X

ΣY2 = Is squared total amount of variable Y

3.7 Technique of Data Collection

Data collection is an important part of conducting research. To collect data,

this study used a pre-test and post-test given to the experimental group and the

control group.

3.7.1 Pre-test

The experimental and control groups will be given a pre-test before

treatment. This was used to analyze the ability of students speaking ability interm

of pronunciation, grammar, vocabulary and fluency.

3.7.2 Post-test
 The post-test will be given to students after conducting treatment using

SAVI learning model. It aims to find out the difference in their average score.

3.8 Technique of Data Analysis

Meanwhile, analysis of the results from the questionnaire used the

percentage formula suggest by Sugiono (2007, p. 43) as follows:

F x 100 %
P=
N

In whitch:

P = Result expressed as a percentage

F = The frequency

N = Number of cases

For detail explanation of the interpretation guide as follow:

Score Interval Qualification

80 – 100 Exellent
70 – 79 Good
60 – 69 Average
50 – 59 Poor
<49 Very poor