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PRACTICUM REPORT WORK SYSTEM DESIGN AND ERGONOMICS REACTION TIME Group : IP – 11 Date of Practicum : June 30 th , 2016 Name : Kukuh Faedlur Rahman (14522125) Sofyan Ali (14522435) Day of Practicum : Monday Day of Submissio n : Monday, June 6 th , 2016 Class : IP – A Yogyakarta, June 6 th 2016 Assistant ( Aulia Izzatur ) Assistant : Aulia Izzatur (E- 100) Assessment Criteria Format : (max. 10) Calculation : (max. 35) Analysis : (max. 30) Recommendati on : (max. 25) TOTAL : WORK SYSTEM DESIGN AND ERGONOMIC LABORATORY INDUSTRIAL ENGINEERING DEPARTMENT FACULTY OF INDUSTRIAL TECHNOLOGY

Reaction Time LENGKAPIN Jon

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Page 1: Reaction Time LENGKAPIN Jon

PRACTICUM REPORT

WORK SYSTEM DESIGN AND ERGONOMICS

REACTION TIME

Group : IP – 11 Date of Practicum : June 30th, 2016

Name :Kukuh Faedlur Rahman (14522125)Sofyan Ali (14522435)

Day of Practicum : Monday

Day of Submission : Monday, June

6th, 2016

Class : IP – AYogyakarta, June 6th 2016

Assistant ( Aulia Izzatur )

Assistant : Aulia Izzatur (E-100)

Assessment CriteriaFormat : (max. 10)Calculation : (max. 35)Analysis : (max. 30)Recommendation : (max. 25)TOTAL :

WORK SYSTEM DESIGN AND ERGONOMIC LABORATORY

INDUSTRIAL ENGINEERING DEPARTMENT

FACULTY OF INDUSTRIAL TECHNOLOGY

UNIVERSITAS ISLAM INDONESIA

2016

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CHAPTER 4

REACTION TIME4.1. Practicum Purposes

1. Students are able to understand reaction time toward visual display.

2. Students are able to understand the concept of long-term and short-term

memory.

3. Students are able to analyze the long-term and short-term memory of person.

4. Have a capable to compare the reaction time toward stimulus of male and

female using hypothesis testing.

4.2. Practicum Assignment

1. Take the data using visual tools to determine the reaction time of operator,

then compare the results with the average students in one small classroom.

2. To test the difference by using SPSS to know there are differences on the

results obtained.

3. Take the data using chunk method to determine the short-term memory

capacity of operators, and then compare the results with the average students

in one small class of the opposite sex by using a graph.

4.3. Output

4.3.1. Description

In this practicum, observer would like to calculate the Recommended

Weight Limit to the operator which doing a Manual Material Handling,

which is lifting. The data below is the data of the main operator and the

activity which done by the operator that involved in this research.

Name : Kukuh Faedlur Rahman

Age : 18

Gender : Male

Activities :

a. Number Chunk Test

b. Color Chunk Test

b. Letter Chunk Test

c. Word Chunk Test

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d. Figure Chunk Test

e. Visual Reaction Time Test

f. Auditory Reaction Time Test

In this practicum, the operator did some test such as visual test and chunk

test. In visual test, the operator record the test results using the reaction

speed measuring device, the operator was seeing colors and then pressing

the corresponding key tool of the same color and note how many times the

speed obtained by the operator. While chunk test is consist of some test

such as number chunk, letter chunk, word chunk, figure chunk, and color

chunk.

In number chunk test, the operator was given some number in a short

period. Letter chunk test was a test by give the operator some letter in a

short period. Word chunk test is a test by give the operator some word in a

short period then the operator have to write it down. Figure chunk test is a

test that was given to the operator in a short period, the operator should

remember all the picture and write it down. The last test is color chunk.

Color chunk test is test conducted that operator see a random color on short

period and write down the name of written color.

4.3.2. Data Collection

a. Visual and Auditory Data

Visual test is a test which is the operator was given state of seeing

colors and then pressing the corresponding key tool of the same color.

From the test that already did by the operator, the observer get the

result:

Table 4.1 Visual Reaction Time Test Result (in Second)

No. IP-11 IP-12 IP-13 IP-14 IP-15 IP-16 IP-17 IP-18 IP-19 IP-201 0.59 0.38 0.58 0.28 0.44 0.44 1.08 0.67 0.33 0.82 0.46 0.37 0.73 0.37 0.41 0.39 0.73 0.73 0.54 0.443 0.29 0.44 0.38 0.43 0.47 0.2 0.33 0.77 0.65 0.464 1.47 0.2 0.43 0.78 0.45 0.43 0.33 0.52 0.55 0.435 0.96 0.38 0.48 0.68 0.91 0.34 1.18 0.43 0.28 0.386 0.42 0.4 0.41 0.65 0.58 0.44 0,48 0.31 0.35 1.157 0.84 0.35 0.46 0.54 0.21 0.43 0.24 0.38 0.59 0.398 0.46 0.38 1.14 0.58 0.36 0.32 0.33 0.87 0.36 0.35

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No. IP-11 IP-12 IP-13 IP-14 IP-15 IP-16 IP-17 IP-18 IP-19 IP-209 0.38 0.88 0.48 0.87 0.75 0.34 0.54 0.63 0.28 0.7510 0.87 0.88 0.38 0.78 0.34 0.36 0.88 0.55 0.33 0.3811 0.34 0.58 0.67 0.68 0.48 0.53 0.88 0.17 0.33 0.5112 0.4 0.87 0.35 0.54 0.36 0.31 0.33 0.62 0.22 0.5713 0.46 0.28 0.3 0.45 0.35 0.48 0.34 0.43 0.28 0.7314 0.35 0.37 0.35 0.46 0.26 0.88 0.4 0.56 0.97 1.5415 0.36 0.88 0.4 0.89 0.85 0.48 0.88 0.74 0.4 0.5816 0.31 0.01 0.33 0.44 0.28 0.38 0.31 0.63 0.25 0.3317 0.29 0.53 0.38 0.85 0.4 0.44 0.33 0.75 0.58 0.3918 0.43 0.38 0.34 0.64 0.36 0.38 0.58 0.66 0.5 0.3119 0.36 0.48 0.38 0.75 0.84 0.49 0.86 0.83 0.32 0.4720 0.32 0.38 0.3 0.88 0.46 0.58 0.88 0.3 0.23 0.3721 0.34 0.33 0.39 0.54 0.5 0.28 0.38 0.38 0.46 0.722 0.31 0.89 0.48 0.68 0.41 1.09 0.48 0.46 0.49 1.1123 0.4 0.3 0.38 0.83 0.45 0.39 0.58 0.57 0.22 0.3824 0.28 0.3 0.85 0.58 0.61 0.33 0.88 0.62 0.72 0.425 0.38 0.8 0.39 0.54 0.48 0.41 0.43 0.81 0.86 0.3826 0.38 0.88 0.43 0.58 0.83 0.41 0.64 0.43 0.57 0.5427 0.35 0.3 0.89 0.85 1.04 0.38 0.38 0.66 0.55 0.3128 0.42 0.33 1.3 0.53 0.97 0.33 0.38 0.54 0.31 0.4429 0.48 0.01 0.92 0.68 0.87 0.49 0.33 0.5 0.22 0.9730 0.36 0.88 0.95 0.58 0.38 0.38 0.85 0.61 0.3 0.36

The data that obtained from the operator’s data is in Green color. After

the researcher shows the result of visual reaction time in table above,

then the researcher will show the auditory reaction time result as shown

as table 4.2.

Table 4.2 Auditory Reaction Time Test Result (milliseconds)

No. IP-11 IP-12 IP-13 IP-14 IP-15 IP-16 IP-17 IP-18 IP-19 IP-20

1 122 170 728 153 237 226 115 278 144 3392 262 170 360 122 228 256 214 308 184 2423 137 169 195 137 184 270 126 1055 164 2064 122 136 250 122 218 231 168 286 156 2245 215 169 201 91 212 277 143 291 172 1756 106 159 228 107 207 230 92 244 160 2727 75 156 247 107 206 245 109 328 176 1768 137 195 224 216 221 245 126 243 252 2199 91 147 192 91 218 299 277 279 186 19510 138 160 169 106 176 251 107 351 168 33611 59 194 226 184 222 287 92 289 284 188

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No. IP-11 IP-12 IP-13 IP-14 IP-15 IP-16 IP-17 IP-18 IP-19 IP-20

12 90 177 195 154 262 238 97 221 184 18413 106 189 162 154 180 228 82 244 180 28114 106 149 210 107 207 210 100 219 123 26515 75 340 200 106 157 283 137 244 208 18616 138 141 177 138 189 272 86 218 140 37017 91 151 198 138 182 394 87 862 159 21918 75 177 138 169 235 270 111 698 196 30019 75 164 213 122 192 286 136 187 132 33320 106 154 165 153 190 239 96 190 256 18221 75 160 149 169 209 248 103 159 159 17222 153 178 155 237 187 234 101 147 155 17823 90 160 144 91 195 238 134 157 183 22224 107 164 167 107 205 272 97 221 180 25425 138 177 185 75 176 377 106 161 208 24026 107 186 147 107 180 317 119 171 212 27727 138 164 144 153 194 321 119 147 176 17928 122 145 136 202 204 286 105 149 172 18329 91 119 140 138 216 268 152 156 152 19330 142 152 169 177 301 114 208 180 169 193 

b. Chunk Test Result

Chunk test is a test that consist of some test such as number chunk,

letter chunk, word chunk, figure chunk, and color chunk. In chunk test,

the operator was given some number, letter, word, figure and color in a

short period, the operator have to remember the numbers, letters,

words, figures and colors then take a note of the results. The result of

chunk test:

1) Number Chunk Test Result

Table 4.3 Number Chunk Test Result Table

No. IP-11 IP-12 IP-13 IP-14 IP-15 IP-16 IP-17 IP-18 IP-19 IP-201 1.00 1.00 0.29 1.00 1.00 1.00 1.00 1.00 1.00 0.602 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.003 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.004 1.00 1.00 0.43 1.00 1.00 1.00 1.00 1.00 1.00 1.005 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.006 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.007 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.008 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00

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9 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.4310 1.00 1.00 0.57 1.00 0.67 1.00 1.00 1.00 1.00 1.0011 1.00 1.00 0.50 1.00 1.00 1.00 1.00 1.00 1.00 1.00

2) Letter Chunk Test

Table 4.4 Letter Chunk Test Result Table

No.IP-11

IP-12

IP-13

IP-14

IP-15

IP-16

IP-17

IP-18

IP-19

IP-20

1 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.002 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.003 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.004 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.005 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.006 1.00 1.00 0.86 1.00 1.00 0.29 1.00 0.85 1.00 0.867 1.00 1.00 0.63 1.00 1.00 1.00 1.00 1.00 1.00 0.258 1.00 0.56 0.67 0.56 1.00 0.56 1.00 0.77 1.00 0.669 1.00 0.50 0.30 1.00 0.50 0.30 1.00 1.00 1.00 0.6010 0.55 0.36 0.55 1.00 0.91 0.55 1.00 0.54 1.00 0.0911 0.58 1.00 0.17 1.00 0.25 0.50 1.00 0.58 0.75 0.16

Total 10.13 9.42 8.16 10.56 9.66 8.19 11.00 9.74 10.75 7.62Scor

e 0.92 0.86 0.74 0.96 0.88 0.74 1.00 0.89 0.98 0.69

3) Word Chunk Test

Table 4.5 World Chunk Test Result Table

No. IP-11 IP-12 IP-13 IP-14 IP-15 IP-16 IP-17 IP-18 IP-19 IP-201 1 1 1 1 1 1 1 1 1 12 1 1 1 1 1 1 1 0 1 13 1 1 1 1 1 1 1 1 1 14 1 1 1 1 1 1 1 1 1 15 1 1 1 1 1 1 1 1 1 16 1 1 1 1 1 1 1 1 1 17 0 1 1 1 1 0 1 1 1 18 1 1 1 1 1 0 1 0 1 19 1 1 1 1 0 0 1 0 1 110 0 0 1 1 0 0 0 0 1 111 0 0 1 0 0 0 0 0 1 112 0 0 0 0 0 0 0 0 1 013 0 0 0 0 0 0 0 0 1 014 0 0 0 0 0 0 0 0 1 015 0 0 0 0 0 0 0 0 0 016 0 0 0 0 0 0 0 0 0 0

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No. IP-11 IP-12 IP-13 IP-14 IP-15 IP-16 IP-17 IP-18 IP-19 IP-2017 0 0 0 0 0 0 0 0 0 018 0 0 0 0 0 0 0 0 0 019 0 0 0 0 0 0 0 0 0 020 0 0 0 0 0 0 0 0 0 021 0 0 0 0 0 0 0 0 0 022 0 0 0 0 0 0 0 0 0 023 0 0 0 0 0 0 0 0 0 024 0 0 0 0 0 0 0 0 0 025 0 0 0 0 0 0 0 0 0 026 0 0 0 0 0 0 0 0 0 027 0 0 0 0 0 0 0 0 0 028 0 0 0 0 0 0 0 0 0 029 0 0 0 0 0 0 0 0 0 030 0 0 0 0 0 0 0 0 0 031 0 0 0 0 0 0 0 0 0 032 0 0 0 0 0 0 0 0 0 033 0 0 0 0 0 0 0 0 0 034 0 0 0 0 0 0 0 0 0 035 0 0 0 0 0 0 0 0 0 036 0 0 0 0 0 0 0 0 0 037 0 0 0 0 0 0 0 0 0 038 0 0 0 0 0 0 0 0 0 039 0 0 0 0 0 0 0 0 0 040 0 0 0 0 0 0 0 0 0 0

Total 8 9 11 10 8 6 9 6 14 11Score 0.2 0.225 0.275 0.25 0.2 0.15 0.225 0.15 0.35 0.275

4) Figure Chunk Test

Table 4.6 Figure Chunk Test Result Table

No. IP-11 IP-12 IP-13 IP-14 IP-15 IP-16 IP-17 IP-18 IP-19 IP-201 1 1 1 1 1 1 1 1 1 12 1 1 1 1 1 1 1 1 1 13 1 1 1 1 1 1 1 1 1 14 1 1 1 1 1 1 1 1 1 15 1 1 1 1 1 1 1 1 1 16 1 1 1 1 1 1 1 1 1 17 1 1 1 1 1 1 1 1 1 18 1 1 1 1 1 1 1 1 1 19 1 1 0 1 1 1 1 0 1 110 1 1 1 1 1 1 1 0 1 011 0 1 1 0 1 1 1 0 1 012 0 1 0 0 1 0 1 0 1 013 1 0 0 0 0 0 1 0 1 0

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No. IP-11 IP-12 IP-13 IP-14 IP-15 IP-16 IP-17 IP-18 IP-19 IP-2014 1 0 0 0 0 0 0 0 1 015 1 0 0 0 0 0 0 0 1 016 0 0 0 0 0 0 0 0 1 017 0 0 0 0 0 0 0 0 0 018 0 0 0 0 0 0 0 0 0 019 0 0 0 0 0 0 0 0 0 020 0 0 0 0 0 0 0 0 0 0

Total 13 12 10 10 12 11 13 8 16 9Score 0.65 0.6 0.5 0.5 0.6 0.55 0.65 0.4 0.8 0.45

5) Color Chunk Test

Table 4.7 Color Chunk Test Result Table

No. IP-11 IP-12 IP-13 IP-14 IP-15 IP-16 IP-17 IP-18 IP-19 IP-201 1 1 1 1 1 1 1 1 1 12 1 1 1 1 1 1 1 1 1 13 1 1 1 1 1 1 1 1 1 14 1 1 1 1 1 1 1 1 1 15 1 1 1 1 1 1 1 1 1 16 1 1 1 1 1 1 1 1 1 17 1 1 1 1 1 1 1 0 1 18 1 1 1 1 1 1 1 1 1 19 1 1 0 1 1 1 1 1 1 1

10 1 1 1 1 1 1 1 1 1 111 1 1 1 1 1 1 1 1 1 112 1 1 0 1 1 1 1 1 1 113 1 1 1 1 1 1 1 1 1 114 1 1 1 1 1 1 1 1 1 115 0 1 1 1 1 1 1 1 1 116 1 1 1 1 1 1 1 1 1 117 1 1 1 1 1 1 1 1 1 118 1 1 0 1 1 1 1 1 1 119 1 1 1 1 1 1 1 0 1 120 1 1 1 1 1 1 1 1 1 121 1 1 1 1 1 1 1 1 1 122 1 1 1 1 1 1 1 0 1 123 1 1 1 1 1 1 1 1 1 124 1 1 1 1 1 1 1 1 1 125 1 1 1 1 1 1 1 1 1 1

Total 24 25 22 25 25 25 25 22 25 25Score 0.96 1 0.88 1 1 1 1 0.88 1 1

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4.3.3. Data Processing

a. Visual Reaction Time Processing

To measure the comparison between visual reaction time processing

between female and male operator using independence sample t-test,

observer did the test of normality with 95% of significance level.

Table 4. 8 Visual Normality Test

Tests of Normality

Kolmogorov-Smirnova Shapiro-Wilk

Statistic df Sig. Statistic Df Sig.

Male_Visual .111 30 .200* .972 30 .606

Female_Visual .184 30 .061 .892 30 .005

*. This is a lower bound of the true significance.

a. Lilliefors Significance Correction

Based on the table above, it can be seen that the significance value of

the data is reached >0.05, which means the data is normally distributed

and can be continued to T-test.

Table 4. 9 Visual Statistics

Paired Samples Statistics

Mean N Std. Deviation Std. Error Mean

Pair 1 Male_Visual .5337 30 .07898 .01442

Female_Visual .4347 30 .19335 .03530

Kata katain disini jon maksudnya female lebih reaktif soalnya

lebih rendah rata ratanya.

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Table 4.10 Visual T-Test Result

Paired Samples Test

Paired Differences

t df

Sig. (2-

tailed)Mean

Std.

Deviation

Std. Error

Mean

95% Confidence

Interval of the

Difference

Lower Upper

Pair

1

Male_Visual -

Female_Visual.09900 .21303 .03889 .01945 .17855 2.545 29 .016

From the table 4.10, it can be seen that significance level is 0.016,

which is less than 0.05. Therefore, it is apparent that there is no

significance difference between female and male reaction.

b. Auditory Reaction Time Processing

Independence sample t-test is used to measure the comparison between

auditory reaction time processing between female and male operator,

observer use 95% of significance level.

Table 4. 11 Auditory Normality Test

Tests of Normality

Kolmogorov-Smirnova Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

Male_Auditory .233 30 .075 .821 30 .000

Female_Auditory .196 30 .035 .899 30 .008

a. Lilliefors Significance Correction

Based on the table above, it can be seen that the significance value of

the data is reached >0.05, which means the data is normally distributed

and can be continued to T-test.

Table 4. 12 Auditory Statistics

Paired Samples Statistics

Mean N Std. Deviation Std. Error Mean

Pair 1 Male_Auditory 194.1513 30 30.74852 5.61389

Female_Auditory 179.6667 30 35.76488 6.52974

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Table 4. 13 Auditory T-Test Result

From the table 4.13, it can be seen that significance level is 0.118,

which is less than 0.05. Therefore, it is apparent that there is a

significance difference between female and male reaction.

c. Chunk Processing

1) Number Chunk Test

The table below is the result of the operator and the average result of

10 operators who did the number chunk test for 11 pattern of numbers.

Table 4. 14 Number Chunk Test Average

No. IP-11 IP-12 IP-13 IP-14 IP-15 IP-16 IP-17 IP-18 IP-19 IP-20

Average

1 1.00 1.00 0.29 1.00 1.00 1.00 1.00 1.00 1.00 0.60 0.89

2 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00

3 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00

4 1.00 1.00 0.43 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.94

5 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00

6 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00

7 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00

8 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00

9 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.43 0.94

10 1.00 1.00 0.57 1.00 0.67 1.00 1.00 1.00 1.00 1.00 0.92

11 1.00 1.00 0.50 1.00 1.00 1.00 1.00 1.00 1.00 1.00 0.95

Paired Samples Test

Paired Differences

t df

Sig. (2-

tailed)Mean

Std.

Deviation

Std.

Error

Mean

95% Confidence

Interval of the

Difference

Lower Upper

Pair

1

Male_Auditory -

Female_Auditory14.48467 49.26587 8.99468 -3.91151 32.88084 1.610 29 .118

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After observer obtained the average of each number in number

chunk test, observer comparing the data between the main operator and

the average data. The comparison graph is shown below.

1 2 3 4 5 6 7 8 9 1 0 1 10.820.840.860.88

0.90.920.940.960.98

11.02

Number chunk score comparisonAverage Operator

Figure 4.1 Number Chunk Score Comparison

*Jelasin kalo operatornya selalu lebih tinggi dari rata rata

2) Letter Chunk Test

The table below is the result of the operator and the average result of

10 operators who did the letter chunk test for 11 pattern of letters.

Table 4. 15 Letter Chunk Test Average

No. IP-11 IP-12 IP-13 IP-14 IP-15 IP-16 IP-17 IP-18 IP-19 IP-20 Average

1 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00

2 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00

3 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00

4 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00

5 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00

6 1.00 1.00 0.86 1.00 1.00 0.29 1.00 0.85 1.00 0.86 0.89

7 1.00 1.00 0.63 1.00 1.00 1.00 1.00 1.00 1.00 0.25 0.89

8 1.00 0.56 0.67 0.56 1.00 0.56 1.00 0.77 1.00 0.66 0.78

9 1.00 0.50 0.30 1.00 0.50 0.30 1.00 1.00 1.00 0.60 0.72

10 0.55 0.36 0.55 1.00 0.91 0.55 1.00 0.54 1.00 0.09 0.65

11 0.58 1.00 0.17 1.00 0.25 0.50 1.00 0.58 0.75 0.16 0.60

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After observer obtained the average of each number in letter

chunk test, observer comparing the data between the main operator and

the average data. The comparison graph is shown below.

1 2 3 4 5 6 7 8 9 1 0 1 10

0.2

0.4

0.6

0.8

1

1.2

LETTER chunk score comparisonAverage Operator

Figure 4. 2 Letter Chunk Score Comparison

*Jelasin DUL

d) Word Chunk Test

The data below is the result of the operator and the average result of 10

operators who did the word chunk test.

Table 4. 16 Word Chunk Test Average

IP-11 IP-12 IP-13 IP-14 IP-15 IP-16 IP-17 IP-18 IP-19 IP-20Total 8 9 11 10 8 6 9 6 14 11Score 0.2 0.225 0.275 0.25 0.2 0.15 0.225 0.15 0.35 0.275

Average 0.23  

After observer obtained the average of all operators in word

chunk test, observer comparing the data between the main operator and

the average data. The comparison graph is shown below.

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Word Chunk Test Comparison0

0.05

0.1

0.15

0.2

0.25

0.2

0.23

Operator Average

Figure 4.3 Word Chunk Test Comparison

From the figure 4.3 above, it can be seen that the result of word

chunk test comparison of the main operator is lower than the average

of another 9 operators. The word chunk test of the operator only

reaches 0.2, while the average word chunk test reaches 0.23.

e) Figure Chunk Test

The data below is the result of the operator and the average result

of 10 operators who did the figure chunk test.

Table 4. 17 Figure Chunk Test Average

IP-11 IP-12 IP-13 IP-14 IP-15 IP-16 IP-17 IP-18 IP-19 IP-20Total 13 12 10 10 12 11 13 8 16 9Score 0.65 0.6 0.5 0.5 0.6 0.55 0.65 0.4 0.8 0.45

Average 0.57

After observer obtained the average of all operators in figure

chunk test, observer comparing the data between the main operator

and the average data. The comparison graph is shown below.

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Figure Chunk Test Comparison0

0.1

0.2

0.3

0.4

0.5

0.6

0.7 0.65

0.57

Operator Average

Figure 4. 4 Figure Chunk Score Comparison

From the figure 4.4, it can be seen that the result of figure

chunk test comparison of the main operator is higher than the

average of another 9 operators. The figure chunk test of the

operator reaches 0.65, while the average word chunk test reaches

0.57.

f) Color Chunk Test

The data below is the result of the operator and the average result

of 10 operators who did the color chunk test.

Table 4. 18 Color Chunk Test Average

IP-11 IP-12 IP-13 IP-14 IP-15 IP-16 IP-17 IP-18 IP-19 IP-20Total 24 25 22 25 25 25 25 22 25 25Score 0.96 1 0.88 1 1 1 1 0.88 1 1

Average 0.972

After observer obtained the average of all operators in color

chunk test, observer comparing the data between the main operator

and the average data. The comparison graph is shown below.

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Color Chunk Test Comparison0

0.10.20.30.40.50.60.70.80.9

1 0.96 0.972

Operator Average

Figure 4. 5 Color Chunk Comparison

Based on the figure above, it can be seen that the result of color

chunk test comparison of the main operator is lower than the

average of another 9 operators. The color chunk test of the operator

reaches 1, while the average word chunk test reaches 0.96.

4.4. Data Analysis

a. Analysis of Visual and Auditory Result

Analisis jon slsein

b. Analysis of Chunk Result

Ini juga jon

4.5. Conclusion

Ini jon terakhir