13 Citations (Scopus)

Abstract

Many studies have used an electronic nose (E-nose) to detect several types of coffee. To the best of our knowledge, none of the studies have tried to detect odors from a mixture of several types of coffee. Therefore, this research proposes E-nose which can be used to recognize original Arabica civet coffee. The mixture of Arabica civet coffee and Robusta coffee (non-civet coffee) is used as the object of this research. Nine combinations of mixture are prepared in this study. Those combinations are referred to as classes. After collecting the data, a statistical calculation would be determined to obtain parameter statistics. Moreover, the classification method used in this study is to recognize original Arabica civet coffee and original Robusta coffee. Several classifications had been compared, namely Logistic Regression (LR), Linear Discriminant Analysis (LDA), and K-Nearest Neighbors (KNN). The best result is the KNN method with an accuracy value of 97.7% for nine classes.

Original languageEnglish
Title of host publicationProceedings - 2020 International Seminar on Application for Technology of Information and Communication
Subtitle of host publicationIT Challenges for Sustainability, Scalability, and Security in the Age of Digital Disruption, iSemantic 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages333-339
Number of pages7
ISBN (Electronic)9781728190686
DOIs
Publication statusPublished - 19 Sept 2020
Event2020 International Seminar on Application for Technology of Information and Communication, iSemantic 2020 - Semarang, Indonesia
Duration: 19 Sept 202020 Sept 2020

Publication series

NameProceedings - 2020 International Seminar on Application for Technology of Information and Communication: IT Challenges for Sustainability, Scalability, and Security in the Age of Digital Disruption, iSemantic 2020

Conference

Conference2020 International Seminar on Application for Technology of Information and Communication, iSemantic 2020
Country/TerritoryIndonesia
CitySemarang
Period19/09/2020/09/20

Keywords

  • Arabica Coffee
  • Civet Coffee
  • Classification
  • E-nose
  • Robusta Coffee
  • Sensors

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