Balinese aromatherapy product development based on Kansei Engineering and customer personality type.
Balinese aromatherapy product
development based on Kansei
Engineering and customer
personality type
by Putu Wrasiati
FILE
T IME SUBMIT T ED
SUBMISSION ID
1-S2.0-S2351978915011452-MAIN.PDF (314.23K)
04-FEB-2016 11:54AM
627632628
WORD COUNT
3729
CHARACT ER COUNT 20134
Balinese aromatherapy product development based on
Kansei Engineering and customer personality type
15
ORIGINALITY REPORT
%
SIMILARIT Y INDEX
6%
INT ERNET SOURCES
12%
PUBLICAT IONS
4%
ST UDENT PAPERS
PRIMARY SOURCES
1
Chun-Chun Wei. "Applying Kansei
Engineering to Decision Making in Fragrance
Form Design", Smart Innovation Systems and
Technologies, 2011
Publicat ion
2
Djatna, Taufik, and Ida Bagus Dharma Yoga
Santosa. "A real time mission-critical
business intelligence for development of
mixture composition on aromatherapy
product based on customer personality type",
2014 6th International Conference on
Information Technology and Electrical
Engineering (ICITEE), 2014.
Publicat ion
3
4
eprints.whiterose.ac.uk
Int ernet Source
Jordan, . "Creating Pleasurable Products",
DESIGNING PLEASURABLE PRODUCTS An
introduction to the new human factors, 2000.
Publicat ion
5
Min Xu. "Comparison analysis on supervised
4%
3%
1%
1%
learning based solutions for sports video
categorization", 2008 IEEE 10th Workshop on
Multimedia Signal Processing, 10/2008
Publicat ion
6
www.mitrariset.com
7
www.academia.edu
8
www.disparda.baliprov.go.id
9
Int ernet Source
Int ernet Source
Int ernet Source
Lespinats, Sylvain, Michaël Aupetit, and Anke
Meyer-Baese. "ClassiMap: A New Dimension
Reduction Technique for Exploratory Data
Analysis of Labeled Data", International
Journal of Pattern Recognition and Artificial
Intelligence, 2015.
Publicat ion
10
11
Submitted to iGroup
St udent Paper
Padma, T.. "Domain experts' knowledgebased intelligent decision support system in
occupational shoulder and neck pain
therapy", Applied Soft Computing Journal,
201103
Publicat ion
12
Lokman, Anitawati Mohd, Mohammad Bakri
Che Haron, Siti Zaleha Zainal Abidin, Noor
Elaiza Abd Khalid, and Shigekazu Ishihara.
development based on Kansei
Engineering and customer
personality type
by Putu Wrasiati
FILE
T IME SUBMIT T ED
SUBMISSION ID
1-S2.0-S2351978915011452-MAIN.PDF (314.23K)
04-FEB-2016 11:54AM
627632628
WORD COUNT
3729
CHARACT ER COUNT 20134
Balinese aromatherapy product development based on
Kansei Engineering and customer personality type
15
ORIGINALITY REPORT
%
SIMILARIT Y INDEX
6%
INT ERNET SOURCES
12%
PUBLICAT IONS
4%
ST UDENT PAPERS
PRIMARY SOURCES
1
Chun-Chun Wei. "Applying Kansei
Engineering to Decision Making in Fragrance
Form Design", Smart Innovation Systems and
Technologies, 2011
Publicat ion
2
Djatna, Taufik, and Ida Bagus Dharma Yoga
Santosa. "A real time mission-critical
business intelligence for development of
mixture composition on aromatherapy
product based on customer personality type",
2014 6th International Conference on
Information Technology and Electrical
Engineering (ICITEE), 2014.
Publicat ion
3
4
eprints.whiterose.ac.uk
Int ernet Source
Jordan, . "Creating Pleasurable Products",
DESIGNING PLEASURABLE PRODUCTS An
introduction to the new human factors, 2000.
Publicat ion
5
Min Xu. "Comparison analysis on supervised
4%
3%
1%
1%
learning based solutions for sports video
categorization", 2008 IEEE 10th Workshop on
Multimedia Signal Processing, 10/2008
Publicat ion
6
www.mitrariset.com
7
www.academia.edu
8
www.disparda.baliprov.go.id
9
Int ernet Source
Int ernet Source
Int ernet Source
Lespinats, Sylvain, Michaël Aupetit, and Anke
Meyer-Baese. "ClassiMap: A New Dimension
Reduction Technique for Exploratory Data
Analysis of Labeled Data", International
Journal of Pattern Recognition and Artificial
Intelligence, 2015.
Publicat ion
10
11
Submitted to iGroup
St udent Paper
Padma, T.. "Domain experts' knowledgebased intelligent decision support system in
occupational shoulder and neck pain
therapy", Applied Soft Computing Journal,
201103
Publicat ion
12
Lokman, Anitawati Mohd, Mohammad Bakri
Che Haron, Siti Zaleha Zainal Abidin, Noor
Elaiza Abd Khalid, and Shigekazu Ishihara.