Classification of Male and Female Sweat Odor in the Morning Using Electronic Nose

Irzal Ahmad Sabilla; Rifki Aulia Irawan; Riyanarto Sarno; Asra Al Fauzi; Dedy Rahman Wijaya; Rudy Gunawan

doi:10.1109/EIConCIT50028.2021.9431909

Classification of Male and Female Sweat Odor in the Morning Using Electronic Nose

Irzal Ahmad Sabilla, Rifki Aulia Irawan, Riyanarto Sarno, Asra Al Fauzi, Dedy Rahman Wijaya, Rudy Gunawan

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

3 Citations (Scopus)

Abstract

Biologically, there are two genders that are declared, which is male and female. Both genders have the same hormones but at different levels the difference in the level of hormones causes both genders can be distinguished from several aspects, and one of them is from their sweat. In this study, we are using Electronic Nose (E-Nose) device for classify the gender between male and female based on their sweat odor and the time that is taken to get the sample is in the morning. E-Nose is a device that can identify various kinds of scents the results obtained from this tool are signal waves that can be identified, compared, and processed. E-Nose has also been used in various fields. one of them is in the health sector. In this research the E-Nose consists of several sensors TGS, 822, 2612, 2620, 823, 826, 2603, 2600, 813, and SHT-15 connected to an Arduino the data obtained were sampled and splitting 80% training dan 20% testing. Using regression with various methods, the highest accuracy is SO% using the Support Vector Machine (SVM) method.

Original language	English
Title of host publication	3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021
Editors	Rayner Alfred, Haviluddin Haviluddin, Aji Prasetya Wibawa, Joan Santoso, Fachrul Kurniawan, Hartarto Junaedi, Purnawansyah Purnawansyah, Endang Setyati, Herman Thuan To Saurik, Esther Irawati Setiawan, Eka Rahayu Setyaningsih, Edwin Pramana, Yosi Kristian, Kelvin Kelvin, Devi Dwi Purwanto, Eunike Kardinata, Prananda Anugrah
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	320-324
Number of pages	5
ISBN (Electronic)	9781665405140
DOIs	https://doi.org/10.1109/EIConCIT50028.2021.9431909
Publication status	Published - 9 Apr 2021
Event	3rd East Indonesia Conference on Computer and Information Technology, EIConCIT 2021 - Virtual, Surabaya, Indonesia Duration: 9 Apr 2021 → 11 Apr 2021

Publication series

Name	3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021

Conference

Conference	3rd East Indonesia Conference on Computer and Information Technology, EIConCIT 2021
Country/Territory	Indonesia
City	Virtual, Surabaya
Period	9/04/21 → 11/04/21

Keywords

Classification
Electronic Nose
Machine Learning

Access to Document

10.1109/EIConCIT50028.2021.9431909

Cite this

Sabilla, I. A., Irawan, R. A., Sarno, R., Fauzi, A. A., Wijaya, D. R., & Gunawan, R. (2021). Classification of Male and Female Sweat Odor in the Morning Using Electronic Nose. In R. Alfred, H. Haviluddin, A. P. Wibawa, J. Santoso, F. Kurniawan, H. Junaedi, P. Purnawansyah, E. Setyati, H. T. T. Saurik, E. I. Setiawan, E. R. Setyaningsih, E. Pramana, Y. Kristian, K. Kelvin, D. D. Purwanto, E. Kardinata, & P. Anugrah (Eds.), 3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021 (pp. 320-324). Article 9431909 (3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EIConCIT50028.2021.9431909

Sabilla, Irzal Ahmad ; Irawan, Rifki Aulia ; Sarno, Riyanarto et al. / Classification of Male and Female Sweat Odor in the Morning Using Electronic Nose. 3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021. editor / Rayner Alfred ; Haviluddin Haviluddin ; Aji Prasetya Wibawa ; Joan Santoso ; Fachrul Kurniawan ; Hartarto Junaedi ; Purnawansyah Purnawansyah ; Endang Setyati ; Herman Thuan To Saurik ; Esther Irawati Setiawan ; Eka Rahayu Setyaningsih ; Edwin Pramana ; Yosi Kristian ; Kelvin Kelvin ; Devi Dwi Purwanto ; Eunike Kardinata ; Prananda Anugrah. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 320-324 (3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021).

@inproceedings{d1f9e85c290847eb8821101c8dff9af1,

title = "Classification of Male and Female Sweat Odor in the Morning Using Electronic Nose",

abstract = "Biologically, there are two genders that are declared, which is male and female. Both genders have the same hormones but at different levels the difference in the level of hormones causes both genders can be distinguished from several aspects, and one of them is from their sweat. In this study, we are using Electronic Nose (E-Nose) device for classify the gender between male and female based on their sweat odor and the time that is taken to get the sample is in the morning. E-Nose is a device that can identify various kinds of scents the results obtained from this tool are signal waves that can be identified, compared, and processed. E-Nose has also been used in various fields. one of them is in the health sector. In this research the E-Nose consists of several sensors TGS, 822, 2612, 2620, 823, 826, 2603, 2600, 813, and SHT-15 connected to an Arduino the data obtained were sampled and splitting 80% training dan 20% testing. Using regression with various methods, the highest accuracy is SO% using the Support Vector Machine (SVM) method.",

keywords = "Classification, Electronic Nose, Machine Learning",

author = "Sabilla, {Irzal Ahmad} and Irawan, {Rifki Aulia} and Riyanarto Sarno and Fauzi, {Asra Al} and Wijaya, {Dedy Rahman} and Rudy Gunawan",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 3rd East Indonesia Conference on Computer and Information Technology, EIConCIT 2021 ; Conference date: 09-04-2021 Through 11-04-2021",

year = "2021",

month = apr,

day = "9",

doi = "10.1109/EIConCIT50028.2021.9431909",

language = "English",

series = "3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "320--324",

editor = "Rayner Alfred and Haviluddin Haviluddin and Wibawa, {Aji Prasetya} and Joan Santoso and Fachrul Kurniawan and Hartarto Junaedi and Purnawansyah Purnawansyah and Endang Setyati and Saurik, {Herman Thuan To} and Setiawan, {Esther Irawati} and Setyaningsih, {Eka Rahayu} and Edwin Pramana and Yosi Kristian and Kelvin Kelvin and Purwanto, {Devi Dwi} and Eunike Kardinata and Prananda Anugrah",

booktitle = "3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021",

address = "United States",

}

Sabilla, IA, Irawan, RA, Sarno, R, Fauzi, AA, Wijaya, DR & Gunawan, R 2021, Classification of Male and Female Sweat Odor in the Morning Using Electronic Nose. in R Alfred, H Haviluddin, AP Wibawa, J Santoso, F Kurniawan, H Junaedi, P Purnawansyah, E Setyati, HTT Saurik, EI Setiawan, ER Setyaningsih, E Pramana, Y Kristian, K Kelvin, DD Purwanto, E Kardinata & P Anugrah (eds), 3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021., 9431909, 3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021, Institute of Electrical and Electronics Engineers Inc., pp. 320-324, 3rd East Indonesia Conference on Computer and Information Technology, EIConCIT 2021, Virtual, Surabaya, Indonesia, 9/04/21. https://doi.org/10.1109/EIConCIT50028.2021.9431909

Classification of Male and Female Sweat Odor in the Morning Using Electronic Nose. / Sabilla, Irzal Ahmad; Irawan, Rifki Aulia; Sarno, Riyanarto et al.
3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021. ed. / Rayner Alfred; Haviluddin Haviluddin; Aji Prasetya Wibawa; Joan Santoso; Fachrul Kurniawan; Hartarto Junaedi; Purnawansyah Purnawansyah; Endang Setyati; Herman Thuan To Saurik; Esther Irawati Setiawan; Eka Rahayu Setyaningsih; Edwin Pramana; Yosi Kristian; Kelvin Kelvin; Devi Dwi Purwanto; Eunike Kardinata; Prananda Anugrah. Institute of Electrical and Electronics Engineers Inc., 2021. p. 320-324 9431909 (3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021).

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

TY - GEN

T1 - Classification of Male and Female Sweat Odor in the Morning Using Electronic Nose

AU - Sabilla, Irzal Ahmad

AU - Irawan, Rifki Aulia

AU - Sarno, Riyanarto

AU - Fauzi, Asra Al

AU - Wijaya, Dedy Rahman

AU - Gunawan, Rudy

PY - 2021/4/9

Y1 - 2021/4/9

N2 - Biologically, there are two genders that are declared, which is male and female. Both genders have the same hormones but at different levels the difference in the level of hormones causes both genders can be distinguished from several aspects, and one of them is from their sweat. In this study, we are using Electronic Nose (E-Nose) device for classify the gender between male and female based on their sweat odor and the time that is taken to get the sample is in the morning. E-Nose is a device that can identify various kinds of scents the results obtained from this tool are signal waves that can be identified, compared, and processed. E-Nose has also been used in various fields. one of them is in the health sector. In this research the E-Nose consists of several sensors TGS, 822, 2612, 2620, 823, 826, 2603, 2600, 813, and SHT-15 connected to an Arduino the data obtained were sampled and splitting 80% training dan 20% testing. Using regression with various methods, the highest accuracy is SO% using the Support Vector Machine (SVM) method.

AB - Biologically, there are two genders that are declared, which is male and female. Both genders have the same hormones but at different levels the difference in the level of hormones causes both genders can be distinguished from several aspects, and one of them is from their sweat. In this study, we are using Electronic Nose (E-Nose) device for classify the gender between male and female based on their sweat odor and the time that is taken to get the sample is in the morning. E-Nose is a device that can identify various kinds of scents the results obtained from this tool are signal waves that can be identified, compared, and processed. E-Nose has also been used in various fields. one of them is in the health sector. In this research the E-Nose consists of several sensors TGS, 822, 2612, 2620, 823, 826, 2603, 2600, 813, and SHT-15 connected to an Arduino the data obtained were sampled and splitting 80% training dan 20% testing. Using regression with various methods, the highest accuracy is SO% using the Support Vector Machine (SVM) method.

KW - Classification

KW - Electronic Nose

KW - Machine Learning

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DO - 10.1109/EIConCIT50028.2021.9431909

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T3 - 3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021

SP - 320

EP - 324

BT - 3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021

A2 - Alfred, Rayner

A2 - Haviluddin, Haviluddin

A2 - Wibawa, Aji Prasetya

A2 - Santoso, Joan

A2 - Kurniawan, Fachrul

A2 - Junaedi, Hartarto

A2 - Purnawansyah, Purnawansyah

A2 - Setyati, Endang

A2 - Saurik, Herman Thuan To

A2 - Setiawan, Esther Irawati

A2 - Setyaningsih, Eka Rahayu

A2 - Pramana, Edwin

A2 - Kristian, Yosi

A2 - Kelvin, Kelvin

A2 - Purwanto, Devi Dwi

A2 - Kardinata, Eunike

A2 - Anugrah, Prananda

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd East Indonesia Conference on Computer and Information Technology, EIConCIT 2021

Y2 - 9 April 2021 through 11 April 2021

ER -

Sabilla IA, Irawan RA, Sarno R, Fauzi AA, Wijaya DR, Gunawan R. Classification of Male and Female Sweat Odor in the Morning Using Electronic Nose. In Alfred R, Haviluddin H, Wibawa AP, Santoso J, Kurniawan F, Junaedi H, Purnawansyah P, Setyati E, Saurik HTT, Setiawan EI, Setyaningsih ER, Pramana E, Kristian Y, Kelvin K, Purwanto DD, Kardinata E, Anugrah P, editors, 3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 320-324. 9431909. (3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021). doi: 10.1109/EIConCIT50028.2021.9431909

Classification of Male and Female Sweat Odor in the Morning Using Electronic Nose

Abstract

Publication series

Conference

Keywords

Access to Document

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