Measuring Risk Factor Analysis Using PCA Method In Batik Businiess (Case Study: SMEs Batik Cirebon)

Alya Az Zahraa; Naniek Utami Handayani; Sri Hartini; Ratna Purwaningsih

doi:10.26877/asset.v5i1.15229

Measuring Risk Factor Analysis Using PCA Method In Batik Businiess (Case Study: SMEs Batik Cirebon)

Alya Az Zahraa, Naniek Utami Handayani, Sri Hartini, Ratna Purwaningsih

Abstract

The number of business units that sell Batik creates a very high level of competition so that they are required to find alternatives or solutions to be superior to competitors. In addition, it is also necessary to manage business risks and pay attention to factors that support the risk of the Batik fashion business they are running. The purpose of this study was to determine and categorize the main factors supporting the risk of fashion Batik business in Cirebon. This study uses 15 initial variables of Batik fashion business risk which will be tested by means of factor analysis. The method used is Principal Component Analysis (PCA) with SPSS software. Data collection techniques using questionnaires and interviews. The sample used was 50 random respondents in the Batik fashion business unit in Cirebon. Four main factors were obtained from the variables that have been identified in the risk of Cirebon Batik fashion business. Factor 1 is called operational factors, factor 2 is called financial factors, factor 3 is called strategic factors, and factor 4 is called external factors

Keywords

Risk Management; PCA; Fashion

Full Text:

PDF

References

T. Munaf, Statistical Data and Results of the Creative Economy Survey, Jakarta: BEKRAF, 2017.

A. Brun, F. Caniato, M. Caridi, G. Castelli, S. Ronchi, A. Sianesi and G. Spina, "Logistics and supply chain management in the luxury fashion retail: empirical investigation of italian firm," Int, J. Oper. Prod. Econ, pp. 114 (2), 554-570, 2008.

B. Djohanputro, Corporate Risk Management, Jakarta: PPM, 2008.

A. Purwanto, Analysis of factors supporting the success of electronic businesses in Semarang City, Fokus Ekonomi, Vol. 2, 107-119, 2007.

M. Mehrjoo and Z. Pasek, "Impact of Product Varicity on Supply Chain in Fast Fashion apparel Industry," Proceedings of The 47th CIRP Conference on Manufacturing Systems , pp. 17, 296-301, 2014.

H. Darmawi, Risk Management, Jakarta: Bumi Aksara, 2008.

I. Soeharto, Project Management, Jakarta: Grasindo, 2000.

H. Kerzner, Project Management : A system approach to planning, scheduling, and controlling, New Jersey, 2006.

H. Joseph F, A. J.R Ralph E, T. Ronald L and B. William C, Multivariate Data Analysis, Fourth Edition, New Jersey: Prentice Hall, 1995.

S. Sharma, Applied Multivariate Techniques, Canada: John Wiley & Sons, Inc , 1996.

J. Supranto, Multivariate Analysis Meaning and Implementation, Jakarta: Rineka Cipta, 2004.

L. Fang, B. Xiao, H. Yu and Q. You, "A stable systemic risk ranking in China's banking sector: Based on Principal component analysis," Physica A 492, pp. 1997-2009, 2017.

M. Boubchir and H. Auorag, "Materials genome project: The application of principal component analysis to the formability of perovskites and invers perovskites," Computational Condensed Matter , p. 24, 2020.

I. Ghozali, Application of Multivariate Analysis with the SPSS Program, Four Edition, Semarang: Badan Penerbit Universitas Diponegoro, 2006.

M. Singarimbun and E. Sofian, Survey Research Methods, Jakarta: LP 3 ES, 1995.

R. Rismy, Manual Risk Management, Jakarta: Gapura Airport Service, 2017.

DOI: https://doi.org/10.26877/asset.v5i1.15229

Refbacks

There are currently no refbacks.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Advance Sustainable Science, Engineering and Technology (ASSET)

E-ISSN: 2715-4211
Published by Science and Technology Research Centre

Universitas PGRI Semarang, Indonesia

Website: http://journal.upgris.ac.id/index.php/asset/index
Email: asset@upgris.ac.id