PEMODELAN PERSAMAAN STRUKTURAL DENGAN PARTIAL LEAST SQUARE PADA DERAJAT KESEJAHTERAAN PROVINSI SULAWESI SELATAN (Studi Kasus INKESRA Provinsi Sulawesi Selatan 2014)

Adnan Sauddin, Hukmah Hukmah, Wahyuni Abidin

Sari


Welfare is the goal of development avtivities with a wide aspect. Degrees of welafare is affected by influential factors including population, education, health, employment, and housing. The factors are interrelated each other, wich indicates causality between variables. Therefore, we should focus on indicators wich indicates developments in the degree of welfare. This research consist of 15 indicators, 7 latent variables, and 24 samples. The causality hypothesized are made in structural equation model by using partial least square to see wich factors are significant influence degree of welfare in South Sulawesi. The results of analysis by smartPLS 3,0 indicates 72% variance degree of welfare are explained by contruct education, health, and housing.

Kata Kunci


Degree of Welfare, Structural Equation Modelling, Partial Least square

Teks Lengkap:

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Referensi


BPS Indonesia. Indikator Kesejahteraan Rakyat (welfare indicators) 2014. Jakarta: BPS Indonesia, 2014.

Anam, Choirul. “Penduduk dan Pengangguran: Sebuah Analisis Kependudukan di Provinsi Jawa Timur”. Diseminasi Hasil Penelitian dan pengembangan Kependudukan-BKKBN (16-18 Desember 2011).

BPS Provinsi Sulawesi Selatan. Indikator Kesejahteraan Rakyat 2014. Makassar: BPS Provinsi Sulawesi Selatan, 2014.

Pusat Litbang Ketenagakerjaan. Naskah Akademik Arah Kebijakan Ketenagakerjaan 2014-2019. Jakarta: Badan Penelitian, Pengembangan dan Informasi Kementrian Tenaga Kerja dan Transmigrasi, 2013.

Ndakularak, Erwin, Nyoman Djinar Setiawina, dan Iketut Djayastra. “Analisis Faktor-faktor yang Mempengaruhi Kesejahteraan Masyarakat Kabupaten/Kota Di Provinsi Bali”. E-Jurnal Ekonomi dan Bisnis Universitas Udayana. Fakultas Ekonomi dan Bisnis Universitas Udayana Bali.

Jaya, I Gede Nyoman Mindra

Hair, Joseph F. Jr. et al. A Primer On Partial Least Squares Structural Equation Modeling (PLS-SEM). USA: SAGE, 2014.

Hair, Joseph F. Jr. et al. Multivariate Data Analysis. New Jersey: John Willey & Sons, 2012.

Dachlan, Usman. Panduan Lengkap Structural Equation Modelling. Semarang: Lentera Ilmu, 2014.

Henseler, Jorg dan Marko Sarstedt, “Goodness of Fit Indices for Partial Least Squares Path Modeling”, Original Paper, Computation Statistic, New York: Springer, 2013.

Suharto, Edi. Membangun Masyarakat Memberdayakan Rakyat. Bandung: Refika Aditama, 2010.


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