Implementation of principal component analysis method for detection of chlorine and bleach in rice

  • Qadavi Muhammad Sofyan
  • , M. T. Arini
  • , Nurul Faizah Rozy

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Distribution of bleach and chlorine rice makes some people uneasy because it is dangerous to health. The author conducted a simulation for implemantation the method of Principal Component Analysis to detect bleach and chlorine on rice with Matlab R2013a. This study focuses on the shape, texture, color, and position Pandanwangi, Rojolele, and Setra Ramos Rice intact. The result is an Euclidean value that determines the accuracy value. Accuracy of 60 samples was 51.76%. As for each type of rice has a different value of accuracy. Accuracy of Rice Pandanwangi 85% (accurate), Rojolele Rice 45% (not accurate) and Setra Ramos Rice 20% (not accurate).

Original languageEnglish
Title of host publication2017 5th International Conference on Cyber and IT Service Management, CITSM 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538627372
DOIs
Publication statusPublished - 27 Oct 2017
Externally publishedYes
Event5th International Conference on Cyber and IT Service Management, CITSM 2017 - Denpasar, Bali, Indonesia
Duration: 8 Aug 201710 Aug 2017

Publication series

Name2017 5th International Conference on Cyber and IT Service Management, CITSM 2017

Conference

Conference5th International Conference on Cyber and IT Service Management, CITSM 2017
Country/TerritoryIndonesia
CityDenpasar, Bali
Period8/08/1710/08/17

Keywords

  • Principal Component Analysis
  • Rice
  • Simulation

Fingerprint

Dive into the research topics of 'Implementation of principal component analysis method for detection of chlorine and bleach in rice'. Together they form a unique fingerprint.

Cite this