PEMETAAN PROVINSI DI INDONESIA BERDASARKAN PERILAKU RUMAH TANGGA DENGANROBUST BIPLOTMENGGUNAKAN METODE MINIMUM COVARIANCE DETERMINANT

SETIA BUDI, RIAN and Dwipurwani, Oki and Sukanda, Dian Cahyawati (2021) PEMETAAN PROVINSI DI INDONESIA BERDASARKAN PERILAKU RUMAH TANGGA DENGANROBUST BIPLOTMENGGUNAKAN METODE MINIMUM COVARIANCE DETERMINANT. Undergraduate thesis, Sriwijaya University.

	Text RAMA_44201_08011381722069.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (1MB) | Request a copy
	Text RAMA_44201_08011381722069_TURNITIN.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (6MB) | Request a copy
Preview	Text RAMA_44201_08011381722069_0028047201_0021037302_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (811kB) | Preview
	Text RAMA_44201_08011381722069_0028047201_0021037302_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (310kB) | Request a copy
	Text RAMA_44201_08011381722069_0028047201_0021037302_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (159kB) | Request a copy
	Text RAMA_44201_08011381722069_0028047201_0021037302_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (481kB) | Request a copy
	Text RAMA_44201_08011381722069_0028047201_0021037302_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (8kB) | Request a copy
	Text RAMA_44201_08011381722069_0028047201_0021037302_06_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (220kB) | Request a copy
	Text RAMA_44201_08011381722069_0028047201_0021037302_07_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (542kB) | Request a copy

Abstract

Biplot analysis is the multivariat’s method of analyses describing a cluster of nobjects and p variables in grafisks two dimensions . A biplot analysis is based on singular value (SVD) of the data metrics. Outlier data in the matrics can affect the results of the analysis, hance the need of muscular (rob robust) method of ostracize area the ro biplot with the minimum method of covariance determinant in teh average and covariance matric. The data used in this study is data of household behavior in Indonesia, therefore this study aims to provide the illustrations of gendering every province in Indonesia with robust biplot analysis of biplot with MCD method. Bilot’s mapping result obtain by eight adjacent provincial groups based on the characteristics of household behavior. A provincial group that has a better domestic behavior than in other provincial groups, including the first group of provinces, namely DKI Jakarta, the second group of Sulawesi Selatan, Bantan, Sumatra Utara, Kep. Bangka Belitung, jawa Tengah, Jawa Barat, Riau, Kalimantan timur, and Jawa Timur, the third and sixth group of Yogyakarta, Bali,Kep. Riau Sulawesi Utara,and Kalimanta Utara.. The suitability of the squence is obtained in the suitability rate of biplot amounted to 79%, this indicates that mapping is quite good represents the origin data that contains all variabels. Keywords: Biplot, robust biplot, MCD method, outliers, household behavior, biplot indicator

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Perilaku Rumah Tangga
Subjects:	Q Science > QA Mathematics > QA299.6-433 Analysis > Q337.3 Swarm intelligence. Big data -- Social aspects. Information technology -- Economic aspects.
Divisions:	08-Faculty of Mathematics and Natural Science > 44201-Mathematics (S1)
Depositing User:	Rian Setia Budi
Date Deposited:	12 Aug 2021 06:21
Last Modified:	12 Aug 2021 06:21
URI:	http://repository.unsri.ac.id/id/eprint/51881

Actions (login required)

View Item