2020
DOI: 10.1088/1757-899x/846/1/012054
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Structural Equation Modelling-Partial Least Square to Determine the Correlation of Factors Affecting Poverty in Indonesian Provinces

Abstract: Structural Equation Modelling (SEM) is a multivariate statistical technique to analyze the pattern of relationships between latent variables (unobserved) with indicator variables (observed). One aspect that can be solved by SEM is poverty. Poverty is a major problem in economic development in developing countries like Indonesia. The problem of poverty can also be seen from the dimensions of education and health. This research uses SEM model with Partial Least Square (PLS) approach on poverty data in all provin… Show more

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Cited by 17 publications
(10 citation statements)
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“…For evaluation and control, 12 out of 15 indicators were declared valid and used in constructing this model. According to these situations were common in SEM-based exploration (Ardi and Isnayanti, 2020;Franke and Sarstedt, 2019;Widyastuti, 2018).…”
Section: Regression Equationsmentioning
confidence: 99%
“…For evaluation and control, 12 out of 15 indicators were declared valid and used in constructing this model. According to these situations were common in SEM-based exploration (Ardi and Isnayanti, 2020;Franke and Sarstedt, 2019;Widyastuti, 2018).…”
Section: Regression Equationsmentioning
confidence: 99%
“…Perubahan dalam peradaban dan metode ini memerlukan persiapan dari para pemangku pendidikan untuk mengikuti perkembangan zaman seperti sekarang ini. Tidak ada yang dapat menyangkal atau menolak perkembangan teknologi yang cepat ini, bahkan jika seseorang menolaknya, maka bersiaplah tertinggal, bahkan terlindas oleh orang lain [9].…”
Section: Efek Pandemi Pada Dunia Pendidikanunclassified
“…The genetic algorithm looks for individuals with the highest fitness values. Fitness value is a measure of whether or not an individual is used as a reference in the genetic algorithm to find the optimal value [15][16] [11]. For example, in the case of minimizing the distance, the fitness value is the inverse of the total distance from the route obtained.…”
Section: Genetic Algorithmmentioning
confidence: 99%
“…Other researchers use Genetic Algorithm for traffic green light optimization by considering the number of vehicles. The optimization result is an extension of the green light duration which will be added to the previous fixed green light and applied to the emulator [11] [12]. Using a genetic algorithm with pedestrian queue parameters was also added to get the optimal green duration optimization [13].…”
Section: Introductionmentioning
confidence: 99%