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Management Multivariate Analysis Methods for Variables Measurement in Scientific Papers

APTISI Transactions on Management (ATM) · Vol. 3 No. 1 (2019) · pp. 65–72

DOI
10.33050/atm.v3i1.826
ISSN
2622-6804, 2622-6812
Published
2019-01-03
Publisher
Pandawan
Language
en
License
creativecommons.org/licenses/by-sa/4.0

Abstract

English

The management of writing a scientific papers we already know has important chapters in the writing. And have a way of choosing in a variety of methods. There are problems in this study, namely the absence of the use of research methods in scientific-rich management. Then one of them is needed by multivariate data analysis management to become one of the methods in writing scientific papers. Multivariate data is data collected from two or more observations by measuring these observations with several characteristics. There are 2 (two) methods in multivariate data, namely dependency and interdependence methods. Dependency analysis functions to explain or predict dependent variables by using two or more independent variables. Focused on the dependency method there are 9 (nine) classifications. It is expected that the multivariate data analysis management can help writers to use scientific research methods well and be able to analyze the influence of several variables on other variables at the same time

Indonesian

The management of writing a scientific papers we already know has important chapters in the writing. And have a way of choosing in a variety of methods. There are problems in this study, namely the absence of the use of research methods in scientific-rich management. Then one of them is needed by multivariate data analysis management to become one of the methods in writing scientific papers. Multivariate data is data collected from two or more observations by measuring these observations with several characteristics. There are 2 (two) methods in multivariate data, namely dependency and interdependence methods. Dependency analysis functions to explain or predict dependent variables by using two or more independent variables. Focused on the dependency method there are 9 (nine) classifications. It is expected that the multivariate data analysis management can help writers to use scientific research methods well and be able to analyze the influence of several variables on other variables at the same time

Keywords

Collaboration network of the authors

22 authors · 50 co-authorship links

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Hasanuddin University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Sri YulianiAffiliation unknown3
Eka GinanjarAffiliation unknown3
Safriyani NovitriAffiliation unknown2
Mu’arifuddin Mu’arifuddinAffiliation unknown1
M. Ridho AlamsyahAffiliation unknown1
Aprilia WidyastutiAffiliation unknown1
Cikal Pangestika Nolanda PisalAffiliation unknown1
Miranti Eka PutriAffiliation unknown1
Syofianis SyofianiAffiliation unknown1
Khulaifiyah KhulaifiyahAffiliation unknown1
Resy OktadelaAffiliation unknown1
Sri RahayuHasanuddin University1
Simon SalimAffiliation unknown1
Wawan SetyawanAffiliation unknown1
Rhemzy Putra MaulanaAffiliation unknown1
Mardiana MardianaAffiliation unknown1
Adriano AdrianoAffiliation unknown1
Meity ArdianaAffiliation unknown1
Kurniadi DoniAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://ijc.ilearning.co/ATM/oai, first harvested 6 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Management Multivariate Analysis Methods for Variables Measurement in Scientific Papers</dc:title>
	<dc:title xml:lang="id">Management Multivariate Analysis Methods for Variables Measurement in Scientific Papers</dc:title>
	<dc:creator xml:lang="en">Yulianto, Yulianto</dc:creator>
	<dc:creator xml:lang="en">Robihaningrum, Namira</dc:creator>
	<dc:creator xml:lang="en">Elinda, Bella Dhea</dc:creator>
	<dc:subject xml:lang="en">Management</dc:subject>
	<dc:subject xml:lang="en">Multivariate Data</dc:subject>
	<dc:subject xml:lang="en">Scientific Paper</dc:subject>
	<dc:subject xml:lang="id">Management</dc:subject>
	<dc:subject xml:lang="id">Multivariate Data</dc:subject>
	<dc:subject xml:lang="id">Scientific Paper</dc:subject>
	<dc:description xml:lang="en">The management of writing a scientific papers we already know has important chapters in the writing. And have a way of choosing in a variety of methods. There are problems in this study, namely the absence of the use of research methods in scientific-rich management. Then one of them is needed by multivariate data analysis management to become one of the methods in writing scientific papers. Multivariate data is data collected from two or more observations by measuring these observations with several characteristics. There are 2 (two) methods in multivariate data, namely dependency and interdependence methods. Dependency analysis functions to explain or predict dependent variables by using two or more independent variables. Focused on the dependency method there are 9 (nine) classifications. It is expected that the multivariate data analysis management can help writers to use scientific research methods well and be able to analyze the influence of several variables on other variables at the same time</dc:description>
	<dc:description xml:lang="id">The management of writing a scientific papers we already know has important chapters in the writing. And have a way of choosing in a variety of methods. There are problems in this study, namely the absence of the use of research methods in scientific-rich management. Then one of them is needed by multivariate data analysis management to become one of the methods in writing scientific papers. Multivariate data is data collected from two or more observations by measuring these observations with several characteristics. There are 2 (two) methods in multivariate data, namely dependency and interdependence methods. Dependency analysis functions to explain or predict dependent variables by using two or more independent variables. Focused on the dependency method there are 9 (nine) classifications. It is expected that the multivariate data analysis management can help writers to use scientific research methods well and be able to analyze the influence of several variables on other variables at the same time</dc:description>
	<dc:publisher xml:lang="en">Pandawan</dc:publisher>
	<dc:date>2019-01-03</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijc.ilearning.co/ATM/article/view/826</dc:identifier>
	<dc:identifier>10.33050/atm.v3i1.826</dc:identifier>
	<dc:source xml:lang="en">APTISI Transactions on Management (ATM); Vol. 3 No. 1 (2019): January; 65-72</dc:source>
	<dc:source xml:lang="id">APTISI Transactions on Management (ATM); Vol 3 No 1 (2019): ATM (APTISI Transactions on Management); 65-72</dc:source>
	<dc:source>2622-6804</dc:source>
	<dc:source>2622-6812</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://ijc.ilearning.co/ATM/article/view/826/195</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2019 Yulianto Yulianto, Namira Robihaningrum, Bella Dhea Elinda (Author)</dc:rights>
	<dc:rights xml:lang="en">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>