The Performance of Correlation-Based Support Vector Machine in Illiteracy Dataset

Indra Gunawan; Triyanna Widyaningtyas; Aji Prasetya Wibawa; null Haviluddin; Darusalam Darusalam; Andri Pranolo

doi:10.1109/EIConCIT.2018.8878576

The Performance of Correlation-Based Support Vector Machine in Illiteracy Dataset

Indra Gunawan, Triyanna Widyaningtyas, Aji Prasetya Wibawa, Haviluddin, Darusalam Darusalam, Andri Pranolo

Information and Communication Technology

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Abstract

SVM method performs a non-linear mapping of original data space into a high-dimensional feature space. The construction of linear discrimination function is useful for replacing the non-linear function in the original data space. This paper aims to efficiently explore the accuracy of SVM with the feature selection method. The selected feature selection method is Correlation-based Feature Selection (CFS), due to the approach's simplicity and speed. This research used an illiteracy rate dataset in Indonesia. The research result showed that the optimised method has overcome the original SVM, with 94 % of accuracy.

Original language	English
Title of host publication	Proceedings - 2nd East Indonesia Conference on Computer and Information Technology
Subtitle of host publication	Internet of Things for Industry, EIConCIT 2018
Editors	Haviluddin Haviluddin, Aji Prasetya Wibawa, Purnawansyah Purnawansyah, Lala Septem Riza, Huzain Azis, Yulita Salim, Rheo Malani, Achmad Fanany Onnilita Gaffar, Herdianti Darwis, Wistiani Astuti, Farniwati Fattah, Ramdan Satra, Herman Herman, Tasrif Hasanuddin, Abdul Rachman Manga
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	96-99
Number of pages	4
ISBN (Electronic)	9781538680483
DOIs	https://doi.org/10.1109/EIConCIT.2018.8878576
Publication status	Published - 2018
Event	2nd East Indonesia Conference on Computer and Information Technology, EIConCIT 2018 - Makassar, Indonesia Duration: 6 Nov 2018 → 7 Nov 2018

Publication series

Name	Proceedings - 2nd East Indonesia Conference on Computer and Information Technology: Internet of Things for Industry, EIConCIT 2018

Conference

Conference	2nd East Indonesia Conference on Computer and Information Technology, EIConCIT 2018
Country/Territory	Indonesia
City	Makassar
Period	6/11/18 → 7/11/18

Keywords

classification
correlation-based
illiteracy number
support vector machine

Access to Document

10.1109/EIConCIT.2018.8878576

Cite this

Gunawan, I., Widyaningtyas, T., Wibawa, A. P., Haviluddin, Darusalam, D., & Pranolo, A. (2018). The Performance of Correlation-Based Support Vector Machine in Illiteracy Dataset. In H. Haviluddin, A. P. Wibawa, P. Purnawansyah, L. S. Riza, H. Azis, Y. Salim, R. Malani, A. F. O. Gaffar, H. Darwis, W. Astuti, F. Fattah, R. Satra, H. Herman, T. Hasanuddin, & A. R. Manga (Eds.), Proceedings - 2nd East Indonesia Conference on Computer and Information Technology: Internet of Things for Industry, EIConCIT 2018 (pp. 96-99). Article 8878576 (Proceedings - 2nd East Indonesia Conference on Computer and Information Technology: Internet of Things for Industry, EIConCIT 2018). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/EIConCIT.2018.8878576

Gunawan, Indra ; Widyaningtyas, Triyanna ; Wibawa, Aji Prasetya et al. / The Performance of Correlation-Based Support Vector Machine in Illiteracy Dataset. Proceedings - 2nd East Indonesia Conference on Computer and Information Technology: Internet of Things for Industry, EIConCIT 2018. editor / Haviluddin Haviluddin ; Aji Prasetya Wibawa ; Purnawansyah Purnawansyah ; Lala Septem Riza ; Huzain Azis ; Yulita Salim ; Rheo Malani ; Achmad Fanany Onnilita Gaffar ; Herdianti Darwis ; Wistiani Astuti ; Farniwati Fattah ; Ramdan Satra ; Herman Herman ; Tasrif Hasanuddin ; Abdul Rachman Manga. Institute of Electrical and Electronics Engineers (IEEE), 2018. pp. 96-99 (Proceedings - 2nd East Indonesia Conference on Computer and Information Technology: Internet of Things for Industry, EIConCIT 2018).

@inproceedings{42ea2599267d498cb3aa8c3ef93d6ed4,

title = "The Performance of Correlation-Based Support Vector Machine in Illiteracy Dataset",

abstract = "SVM method performs a non-linear mapping of original data space into a high-dimensional feature space. The construction of linear discrimination function is useful for replacing the non-linear function in the original data space. This paper aims to efficiently explore the accuracy of SVM with the feature selection method. The selected feature selection method is Correlation-based Feature Selection (CFS), due to the approach's simplicity and speed. This research used an illiteracy rate dataset in Indonesia. The research result showed that the optimised method has overcome the original SVM, with 94 % of accuracy.",

keywords = "classification, correlation-based, illiteracy number, support vector machine",

author = "Indra Gunawan and Triyanna Widyaningtyas and Wibawa, {Aji Prasetya} and Haviluddin and Darusalam Darusalam and Andri Pranolo",

year = "2018",

doi = "10.1109/EIConCIT.2018.8878576",

language = "English",

series = "Proceedings - 2nd East Indonesia Conference on Computer and Information Technology: Internet of Things for Industry, EIConCIT 2018",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

pages = "96--99",

editor = "Haviluddin Haviluddin and Wibawa, {Aji Prasetya} and Purnawansyah Purnawansyah and Riza, {Lala Septem} and Huzain Azis and Yulita Salim and Rheo Malani and Gaffar, {Achmad Fanany Onnilita} and Herdianti Darwis and Wistiani Astuti and Farniwati Fattah and Ramdan Satra and Herman Herman and Tasrif Hasanuddin and Manga, {Abdul Rachman}",

booktitle = "Proceedings - 2nd East Indonesia Conference on Computer and Information Technology",

address = "United States",

note = "2nd East Indonesia Conference on Computer and Information Technology, EIConCIT 2018 ; Conference date: 06-11-2018 Through 07-11-2018",

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Gunawan, I, Widyaningtyas, T, Wibawa, AP, Haviluddin, Darusalam, D & Pranolo, A 2018, The Performance of Correlation-Based Support Vector Machine in Illiteracy Dataset. in H Haviluddin, AP Wibawa, P Purnawansyah, LS Riza, H Azis, Y Salim, R Malani, AFO Gaffar, H Darwis, W Astuti, F Fattah, R Satra, H Herman, T Hasanuddin & AR Manga (eds), Proceedings - 2nd East Indonesia Conference on Computer and Information Technology: Internet of Things for Industry, EIConCIT 2018., 8878576, Proceedings - 2nd East Indonesia Conference on Computer and Information Technology: Internet of Things for Industry, EIConCIT 2018, Institute of Electrical and Electronics Engineers (IEEE), pp. 96-99, 2nd East Indonesia Conference on Computer and Information Technology, EIConCIT 2018, Makassar, Indonesia, 6/11/18. https://doi.org/10.1109/EIConCIT.2018.8878576

The Performance of Correlation-Based Support Vector Machine in Illiteracy Dataset. / Gunawan, Indra; Widyaningtyas, Triyanna; Wibawa, Aji Prasetya et al.
Proceedings - 2nd East Indonesia Conference on Computer and Information Technology: Internet of Things for Industry, EIConCIT 2018. ed. / Haviluddin Haviluddin; Aji Prasetya Wibawa; Purnawansyah Purnawansyah; Lala Septem Riza; Huzain Azis; Yulita Salim; Rheo Malani; Achmad Fanany Onnilita Gaffar; Herdianti Darwis; Wistiani Astuti; Farniwati Fattah; Ramdan Satra; Herman Herman; Tasrif Hasanuddin; Abdul Rachman Manga. Institute of Electrical and Electronics Engineers (IEEE), 2018. p. 96-99 8878576 (Proceedings - 2nd East Indonesia Conference on Computer and Information Technology: Internet of Things for Industry, EIConCIT 2018).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - The Performance of Correlation-Based Support Vector Machine in Illiteracy Dataset

AU - Gunawan, Indra

AU - Widyaningtyas, Triyanna

AU - Wibawa, Aji Prasetya

AU - Haviluddin, null

AU - Darusalam, Darusalam

AU - Pranolo, Andri

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AB - SVM method performs a non-linear mapping of original data space into a high-dimensional feature space. The construction of linear discrimination function is useful for replacing the non-linear function in the original data space. This paper aims to efficiently explore the accuracy of SVM with the feature selection method. The selected feature selection method is Correlation-based Feature Selection (CFS), due to the approach's simplicity and speed. This research used an illiteracy rate dataset in Indonesia. The research result showed that the optimised method has overcome the original SVM, with 94 % of accuracy.

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KW - correlation-based

KW - illiteracy number

KW - support vector machine

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T3 - Proceedings - 2nd East Indonesia Conference on Computer and Information Technology: Internet of Things for Industry, EIConCIT 2018

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EP - 99

BT - Proceedings - 2nd East Indonesia Conference on Computer and Information Technology

A2 - Haviluddin, Haviluddin

A2 - Wibawa, Aji Prasetya

A2 - Purnawansyah, Purnawansyah

A2 - Riza, Lala Septem

A2 - Azis, Huzain

A2 - Salim, Yulita

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A2 - Gaffar, Achmad Fanany Onnilita

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A2 - Astuti, Wistiani

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A2 - Herman, Herman

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PB - Institute of Electrical and Electronics Engineers (IEEE)

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Y2 - 6 November 2018 through 7 November 2018

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Gunawan I, Widyaningtyas T, Wibawa AP, Haviluddin, Darusalam D, Pranolo A. The Performance of Correlation-Based Support Vector Machine in Illiteracy Dataset. In Haviluddin H, Wibawa AP, Purnawansyah P, Riza LS, Azis H, Salim Y, Malani R, Gaffar AFO, Darwis H, Astuti W, Fattah F, Satra R, Herman H, Hasanuddin T, Manga AR, editors, Proceedings - 2nd East Indonesia Conference on Computer and Information Technology: Internet of Things for Industry, EIConCIT 2018. Institute of Electrical and Electronics Engineers (IEEE). 2018. p. 96-99. 8878576. (Proceedings - 2nd East Indonesia Conference on Computer and Information Technology: Internet of Things for Industry, EIConCIT 2018). doi: 10.1109/EIConCIT.2018.8878576

The Performance of Correlation-Based Support Vector Machine in Illiteracy Dataset

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