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 languageEnglish
Title of host publication3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021
EditorsRayner 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
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages320-324
Number of pages5
ISBN (Electronic)9781665405140
DOIs
Publication statusPublished - 9 Apr 2021
Event3rd East Indonesia Conference on Computer and Information Technology, EIConCIT 2021 - Virtual, Surabaya, Indonesia
Duration: 9 Apr 202111 Apr 2021

Publication series

Name3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021

Conference

Conference3rd East Indonesia Conference on Computer and Information Technology, EIConCIT 2021
Country/TerritoryIndonesia
CityVirtual, Surabaya
Period9/04/2111/04/21

Keywords

  • Classification
  • Electronic Nose
  • Machine Learning

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