ANALISIS DERAJAT KESEHATAN MASYARAKAT PROVINSI BALI DENGAN MENGGUNAKAN METODE GENERALIZED STRUCTURED COMPONENT ANALYSIS (GSCA)

  • PUTU NOPITA PURNAMA NINGSIH Faculty of Mathematics and Natural Sciences, Udayana University
  • KETUT JAYANEGARA Faculty of Mathematics and Natural Sciences, Udayana University
  • I PUTU EKA NILA KENCANA Faculty of Mathematics and Natural Sciences, Udayana University
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Abstrak

The aim of this research is to determine the relationship between environmental, behavioral, health services, education, and economic variables to health status in the Province of Bali. These variables are constructs (latents ) that can not be measured directly by observation. If there was a relationship between latent and its indicators, it is recomended to use Structural Equation Modeling (SEM). In this research we used variance-based SEM i.e. Generalized Structured Component Analysis (GSCA). This method not based on many assumptions such as the data does not have a multivariate normal distribution, the sample size does is not necessary large. Moreover, GSCA provides by overall goodness-fit of the model. The result of this research indicates that the environmental, behavioral, economic and educational variable influenced health status, but health service does not significantly affect the health status; economic does not significantly affect the environment; and education does not significantly affect the behavior. The result of the FIT value ?0.450 and the AFIT value 0.429 showed that overall model in this research is not good enough because of both of these values are under 0.50.

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##submission.authorBiographies##

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Jurusan matematika, FMIPA Universitas Udayana
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Jurusan matematika, FMIPA Universitas Udayana
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Jurusan matematika, FMIPA Universitas Udayana
Diterbitkan
2013-05-31
##submission.howToCite##
PURNAMA NINGSIH, PUTU NOPITA; JAYANEGARA, KETUT; KENCANA, I PUTU EKA NILA. ANALISIS DERAJAT KESEHATAN MASYARAKAT PROVINSI BALI DENGAN MENGGUNAKAN METODE GENERALIZED STRUCTURED COMPONENT ANALYSIS (GSCA). E-Jurnal Matematika, [S.l.], v. 2, n. 2, p. 54-58, may 2013. ISSN 2303-1751. Tersedia pada: <https://ojs.unud.ac.id/index.php/mtk/article/view/6311>. Tanggal Akses: 14 oct. 2025 doi: https://doi.org/10.24843/MTK.2013.v02.i02.p039.
Bagian
Articles

Kata Kunci

Latent Variable; Structural Equation Modeling (SEM); Generalized Structured Component Analysis (GSCA); Derajat Kesehatan