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Robihaningrum, Namira
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Computer Science & IT Decision Sciences, Operations Research & Management

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Journal : aptisi transactions on management

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Management Multivariate Analysis Methods for Variables Measurement in Scientific Papers Yulianto, Yulianto; Robihaningrum, Namira; Elinda, Bella Dhea
APTISI Transactions on Management (ATM) Vol 3 No 1 (2019): ATM (APTISI Transactions on Management)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (215.046 KB) | DOI: 10.33050/atm.v3i1.826

Abstract

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
Co-Authors Elinda, Bella Dhea Yulianto Yulianto