Jurnal Ilmiah Komputer dan Informatika KOMPUTA
Edisi. .. Volume. .., Bulan 20.. ISSN : 2089-9033
number5.
Picture 6. NPC movements
2.15 Design interface
The design of the interface is needed to represent the true state of the application to be built. Interface
design in this application are as follows:
Picture 7. Initial appearance
Picture 8. Menu chess game
Picture 9. Menu how to play
2.16 Testing system
In testing this voice recognition, voice input format used is in accordance with the game of chess.
Sound recording format is divided into 3 every voice input by a pause of 1 second. The following sound
formats that have been determined as follows: 1.
Pawn to be used . 2.
Box of letters that will be addressed. 3.
Box number to be addressed. There are 10 people consisting of 5 women and 5
men who will be tester with the following criteria: Table 1. Criteria testers
Criteria Men age
Women age Kid
8 Tahun 8 Tahun
Teenage 17 Tahun
18 Tahun
Adult 1 34 Tahun
32 Tahun
Adult 2 53 Tahun
52 Tahun
Oldster 74 Tahun
70 Tahun Based on the above table , it can be seen that it
meets the criteria for phase ’s, which includes the
stages of human life. Those criteria are divided into two groups, namely men and women. By
age’s adjusted criteria.
Using the 10 chess pieces that berbebeda movement and represents almost all chess movement.
For each test, the player will perform 10x voice input. Table 2. Testing chess piece movements
Testing to-
Pawn movement Format 1 Format
2 Format
3 1
Pion2 B
4
2 Pion7
G 3
3 Benteng1
A 5
4 Benteng2
H 6
5 Kuda1
D 2
6 Kuda2
G 3
7 Mentri1
B 2
8 Mentri2
E 2
9 Ratu
D 6
10 Raja
E 2
Here is the result of 10 times of the voice input from 10 different people based on 10 tests with a total
of 1,000 data is illustrated by the graph below:
Jurnal Ilmiah Komputer dan Informatika KOMPUTA
Edisi. .. Volume. .., Bulan 20.. ISSN : 2089-9033
Picture 10. Graph testing accuracy test Based on the above data, it can be calculated the
average - average accuracy for each matching method using the formula of the average
’s groups as follows: Table 3.
Average’s test of Divide and Conquer
Value range test
results Mid
point ��
Frequency ��
�� ∗ �� 1
– 10
5.5
11 – 20
15.5 1
15.5
21 – 30
25.5 7
178.5
31 – 40
35.5 2
71
41 – 50
45.5
51 – 60
55.5
61 – 70
65.5
71 – 80
75.5
81 – 90
85.5
91 – 100
95.5
Total 10
265 So can be calculated with the average
’s the data groups and the level of accuracy as follows:
� = =
.
Tabel 4. Average’s test of Euclidean Distance
Value range test
results Mid
point ��
Frequency ��
�� ∗ �� 1
– 10
5.5
11 – 20
15.5
21 – 30
25.5 2
51
31 – 40
35.5 8
284
41 – 50
45.5
51 – 60
55.5
61 – 70
65.5
71 – 80
75.5
81 – 90
85.5
91 – 100
95.5
Total 10
335 So can be calculated with the average
’s the data groups and the level of accuracy as follows:
� = =
.
3. Closing
The conclusion is a summary drawn from the discussion made software, where software is created
is the application of a chess game using Speech Recognition and compare the application of
algorithms Divide and Conquer and Euclidean Distance, while the advice given to the use of these
systems is a result of design to be material references to improve performance of this system for the better.
3.1 Conclusion
Based on the analysis that has been carried out on the construction of a chess game application that
implements a comparison Divide and Conquer and Euclidean Distance to speech recognition, it can be
concluded that the Euclidean Distance is more accurate results to be applied to speech recognition
compared to the Divide and Conquer.
3.2 Suggestion
In order for these applications may evolve in the future, the authors suggest some of the following,
namely: 1.
Improving the results of processing voice signals received by the computer. In order to produce a
better value than using Fast Fourier Transform algorithm.
2. Replace all role click the command button into
voice, to better reach out to many groups.
REFERENCES
[1] Park, J.H., Faulkner, J., Schaller, M. 2003. “Evolved Disease-Avoidance Processes And
Contemporary Anti-Social Behavior: Prejudical Attitudes And Avoidance Of People With
Physical Disabilities. Journal of Nonverbal
Behaviour 272”. [2] Fahri Firdausillah, Ika Novita Dewi, Catur
Supriyanto. “Sphinx-4 Indonesian Isolated Digit Speech Recognition”. Journal of Theoretical and
Applied Information
Technology.Volume 53.No.1. Halaman 40. 2013.
[3] Nugraha, K. 2011, Aplikasi Perintah Suara Dengan Metode Fast Fourier Transform dan
Divide and Conquer pada simulasi rumah pintar. Program Sarjana. Universitas Komputer.
10 20
30 40
50 60
70 80
90 100
Testing accuracy rate
Divide and Conquer Euclidean Distance
