On The Comparison: Random Forest, SMOTEBagging, and Bernoulli Mixture to Classify Bidikmisi Dataset in East Java

Nur Iriawan; Kartika Fithriasari; Brodjol Sutijo Suprih Ulama; Wahyuni Suryaningtyas; Sinta Septi Pangastuti; Nita Cahyani; Laila Qadrini

doi:10.1109/CENIM.2018.8711035

On The Comparison: Random Forest, SMOTEBagging, and Bernoulli Mixture to Classify Bidikmisi Dataset in East Java

Nur Iriawan, Kartika Fithriasari, Brodjol Sutijo Suprih Ulama, Wahyuni Suryaningtyas, Sinta Septi Pangastuti, Nita Cahyani, Laila Qadrini

Institut Teknologi Sepuluh Nopember

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

The Bidikmisi is a scholarship program from the Indonesian government that intended for students who are not economically capable, but they have good academic performance. In the implementation of the Bidikmisi scholarship program, there are indications of a problem, namely the condition of inaccurate allocation in the Bidikmisi scholarship that is accepted or unaccepted. The purpose of this study was to examine several comparison methods that were used to get the accuracy allocation of the Bidikmisi scholarship in East Java. These methods include random forest, SMOTE-Bagging, and Bernoulli mixture model. Based on the AUC and g-mean values, the Bernoulli mixture method has a better proficiency than the random forest and SMOTE-Bagging.

Original language	English
Title of host publication	2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	137-141
Number of pages	5
ISBN (Electronic)	9781538675090
DOIs	https://doi.org/10.1109/CENIM.2018.8711035
Publication status	Published - 2 Jul 2018
Event	2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Surabaya, Indonesia Duration: 26 Nov 2018 → 27 Nov 2018

Publication series

Name	2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding

Conference

Conference	2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018
Country/Territory	Indonesia
City	Surabaya
Period	26/11/18 → 27/11/18

Keywords

AUC
Bernoulli mixture
SMOTE
bagging
g-mean
random forest

Access to Document

10.1109/CENIM.2018.8711035

Cite this

Iriawan, N., Fithriasari, K., Ulama, B. S. S., Suryaningtyas, W., Pangastuti, S. S., Cahyani, N., & Qadrini, L. (2018). On The Comparison: Random Forest, SMOTEBagging, and Bernoulli Mixture to Classify Bidikmisi Dataset in East Java. In 2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding (pp. 137-141). Article 8711035 (2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CENIM.2018.8711035

Iriawan, Nur ; Fithriasari, Kartika ; Ulama, Brodjol Sutijo Suprih et al. / On The Comparison : Random Forest, SMOTEBagging, and Bernoulli Mixture to Classify Bidikmisi Dataset in East Java. 2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 137-141 (2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding).

@inproceedings{c7acb7c17d144234a00b899ced436c4a,

title = "On The Comparison: Random Forest, SMOTEBagging, and Bernoulli Mixture to Classify Bidikmisi Dataset in East Java",

abstract = "The Bidikmisi is a scholarship program from the Indonesian government that intended for students who are not economically capable, but they have good academic performance. In the implementation of the Bidikmisi scholarship program, there are indications of a problem, namely the condition of inaccurate allocation in the Bidikmisi scholarship that is accepted or unaccepted. The purpose of this study was to examine several comparison methods that were used to get the accuracy allocation of the Bidikmisi scholarship in East Java. These methods include random forest, SMOTE-Bagging, and Bernoulli mixture model. Based on the AUC and g-mean values, the Bernoulli mixture method has a better proficiency than the random forest and SMOTE-Bagging.",

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author = "Nur Iriawan and Kartika Fithriasari and Ulama, {Brodjol Sutijo Suprih} and Wahyuni Suryaningtyas and Pangastuti, {Sinta Septi} and Nita Cahyani and Laila Qadrini",

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doi = "10.1109/CENIM.2018.8711035",

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Iriawan, N , Fithriasari, K , Ulama, BSS, Suryaningtyas, W, Pangastuti, SS, Cahyani, N & Qadrini, L 2018, On The Comparison: Random Forest, SMOTEBagging, and Bernoulli Mixture to Classify Bidikmisi Dataset in East Java. in 2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding., 8711035, 2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding, Institute of Electrical and Electronics Engineers Inc., pp. 137-141, 2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018, Surabaya, Indonesia, 26/11/18. https://doi.org/10.1109/CENIM.2018.8711035

On The Comparison: Random Forest, SMOTEBagging, and Bernoulli Mixture to Classify Bidikmisi Dataset in East Java. / Iriawan, Nur ; Fithriasari, Kartika ; Ulama, Brodjol Sutijo Suprih et al.
2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding. Institute of Electrical and Electronics Engineers Inc., 2018. p. 137-141 8711035 (2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Iriawan, Nur

AU - Fithriasari, Kartika

AU - Ulama, Brodjol Sutijo Suprih

AU - Suryaningtyas, Wahyuni

AU - Pangastuti, Sinta Septi

AU - Cahyani, Nita

AU - Qadrini, Laila

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Iriawan N , Fithriasari K , Ulama BSS, Suryaningtyas W, Pangastuti SS, Cahyani N et al. On The Comparison: Random Forest, SMOTEBagging, and Bernoulli Mixture to Classify Bidikmisi Dataset in East Java. In 2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding. Institute of Electrical and Electronics Engineers Inc. 2018. p. 137-141. 8711035. (2018 International Conference on Computer Engineering, Network and Intelligent Multimedia, CENIM 2018 - Proceeding). doi: 10.1109/CENIM.2018.8711035

On The Comparison: Random Forest, SMOTEBagging, and Bernoulli Mixture to Classify Bidikmisi Dataset in East Java

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Keywords

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