Sustainable information for applied data analytics in industry and education sectors

Hashem Salarzadeh Jenatabadi

doi:10.1109/SIET48054.2019.8986017

Sustainable information for applied data analytics in industry and education sectors

Hashem Salarzadeh Jenatabadi

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

Abstract

The way of information that researchers use for data analysis especially in terms of statistical modeling is crucial. Some of studies could be improved of data analysis based on choosing proper information and statistical methodology. This research includes two scenarios. The first scenario is about two major mistakes in previous studies related to Structural Equation Modeling (SEM). I have used engineering data for this part of study. The Second scenario is about application of Taguchi method in educational sectors. Taguchi method is a common statistical analysis in experimental design for engineering studies and this research introduce it for educational sectors.

Original language	English
Title of host publication	Proceedings of the 4th International Conference on Sustainable Information Engineering and Technology, SIET 201
Editors	Dahnial Syaugy, Ida Bagus Ketut Widiartha, Novanto Yudistira
Place of Publication	USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	11-15
Number of pages	5
ISBN (Electronic)	9781728138787
DOIs	https://doi.org/10.1109/SIET48054.2019.8986017
Publication status	Published - Sept 2019
Externally published	Yes
Event	International Conference on Sustainable Information Engineering and Technology 2019 - Lombok, Indonesia Duration: 28 Sept 2019 → 30 Sept 2019 Conference number: 4th https://ieeexplore.ieee.org/xpl/conhome/8966520/proceeding

Conference

Conference	International Conference on Sustainable Information Engineering and Technology 2019
Abbreviated title	SIET 2019
Country/Territory	Indonesia
City	Lombok
Period	28/09/19 → 30/09/19
Internet address	https://ieeexplore.ieee.org/xpl/conhome/8966520/proceeding

Keywords

Structural Equation Modeling
Sustainable information
Taguchi method

Access to Document

10.1109/SIET48054.2019.8986017

Cite this

Jenatabadi, H. S. (2019). Sustainable information for applied data analytics in industry and education sectors. In D. Syaugy, I. B. K. Widiartha, & N. Yudistira (Eds.), Proceedings of the 4th International Conference on Sustainable Information Engineering and Technology, SIET 201 (pp. 11-15). Article 8986017 IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/SIET48054.2019.8986017

Jenatabadi, Hashem Salarzadeh. / Sustainable information for applied data analytics in industry and education sectors. Proceedings of the 4th International Conference on Sustainable Information Engineering and Technology, SIET 201. editor / Dahnial Syaugy ; Ida Bagus Ketut Widiartha ; Novanto Yudistira. USA : IEEE, Institute of Electrical and Electronics Engineers, 2019. pp. 11-15

@inproceedings{6e5779e3dd624cf69d660e5339c43845,

title = "Sustainable information for applied data analytics in industry and education sectors",

abstract = "The way of information that researchers use for data analysis especially in terms of statistical modeling is crucial. Some of studies could be improved of data analysis based on choosing proper information and statistical methodology. This research includes two scenarios. The first scenario is about two major mistakes in previous studies related to Structural Equation Modeling (SEM). I have used engineering data for this part of study. The Second scenario is about application of Taguchi method in educational sectors. Taguchi method is a common statistical analysis in experimental design for engineering studies and this research introduce it for educational sectors.",

keywords = "Structural Equation Modeling, Sustainable information, Taguchi method",

author = "Jenatabadi, \{Hashem Salarzadeh\}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; International Conference on Sustainable Information Engineering and Technology 2019, SIET 2019 ; Conference date: 28-09-2019 Through 30-09-2019",

year = "2019",

month = sep,

doi = "10.1109/SIET48054.2019.8986017",

language = "English",

pages = "11--15",

editor = "Dahnial Syaugy and Widiartha, \{Ida Bagus Ketut\} and Novanto Yudistira",

booktitle = "Proceedings of the 4th International Conference on Sustainable Information Engineering and Technology, SIET 201",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

url = "https://ieeexplore.ieee.org/xpl/conhome/8966520/proceeding",

}

Jenatabadi, HS 2019, Sustainable information for applied data analytics in industry and education sectors. in D Syaugy, IBK Widiartha & N Yudistira (eds), Proceedings of the 4th International Conference on Sustainable Information Engineering and Technology, SIET 201., 8986017, IEEE, Institute of Electrical and Electronics Engineers, USA, pp. 11-15, International Conference on Sustainable Information Engineering and Technology 2019, Lombok, Indonesia, 28/09/19. https://doi.org/10.1109/SIET48054.2019.8986017

Sustainable information for applied data analytics in industry and education sectors. / Jenatabadi, Hashem Salarzadeh.
Proceedings of the 4th International Conference on Sustainable Information Engineering and Technology, SIET 201. ed. / Dahnial Syaugy; Ida Bagus Ketut Widiartha; Novanto Yudistira. USA: IEEE, Institute of Electrical and Electronics Engineers, 2019. p. 11-15 8986017.

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

TY - GEN

T1 - Sustainable information for applied data analytics in industry and education sectors

AU - Jenatabadi, Hashem Salarzadeh

N1 - Conference code: 4th

PY - 2019/9

Y1 - 2019/9

N2 - The way of information that researchers use for data analysis especially in terms of statistical modeling is crucial. Some of studies could be improved of data analysis based on choosing proper information and statistical methodology. This research includes two scenarios. The first scenario is about two major mistakes in previous studies related to Structural Equation Modeling (SEM). I have used engineering data for this part of study. The Second scenario is about application of Taguchi method in educational sectors. Taguchi method is a common statistical analysis in experimental design for engineering studies and this research introduce it for educational sectors.

AB - The way of information that researchers use for data analysis especially in terms of statistical modeling is crucial. Some of studies could be improved of data analysis based on choosing proper information and statistical methodology. This research includes two scenarios. The first scenario is about two major mistakes in previous studies related to Structural Equation Modeling (SEM). I have used engineering data for this part of study. The Second scenario is about application of Taguchi method in educational sectors. Taguchi method is a common statistical analysis in experimental design for engineering studies and this research introduce it for educational sectors.

KW - Structural Equation Modeling

KW - Sustainable information

KW - Taguchi method

UR - https://www.scopus.com/pages/publications/85080107167

U2 - 10.1109/SIET48054.2019.8986017

DO - 10.1109/SIET48054.2019.8986017

M3 - Conference Paper

AN - SCOPUS:85080107167

SP - 11

EP - 15

BT - Proceedings of the 4th International Conference on Sustainable Information Engineering and Technology, SIET 201

A2 - Syaugy, Dahnial

A2 - Widiartha, Ida Bagus Ketut

A2 - Yudistira, Novanto

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - USA

T2 - International Conference on Sustainable Information Engineering and Technology 2019

Y2 - 28 September 2019 through 30 September 2019

ER -

Jenatabadi HS. Sustainable information for applied data analytics in industry and education sectors. In Syaugy D, Widiartha IBK, Yudistira N, editors, Proceedings of the 4th International Conference on Sustainable Information Engineering and Technology, SIET 201. USA: IEEE, Institute of Electrical and Electronics Engineers. 2019. p. 11-15. 8986017 doi: 10.1109/SIET48054.2019.8986017

Sustainable information for applied data analytics in industry and education sectors

Abstract

Conference

Keywords

Access to Document

Other files and links

Cite this