Penelitian ini bertujuan untuk mengetahui seberapa besarnya keputusan pembelian pada bisnis ritel syariah busana muslim di Kota Palembang. Dalam penelitian data dikumpulkan dengan menyebarkan kuesioner terhadap 100 orang Palembang menggunakan metode insidental sampling tanggapan responden variabel yang ada. Analisis Structural Equation Modeling (SEM) berbasis Partial Least Square (PLS). menyimp...

This study aims to analyze the factors that affect quality of audit at public accounting firm in Medan. research is a basic research. The was conducted several firms (KAP) Medan City. population this were all independent auditors who worked Public Accounting Firm City, which registered IAI Directory Accountants Compartment 2018-2019, totaling 168 auditors. Sampling done using probability techni...

The prediction of the aero-engine performance parameters is very important for aero-engine condition monitoring and fault diagnosis. In this paper, the chaotic phase space of engine exhaust temperature EGT time series which come from actual air-borne ACARS data is reconstructed through selecting some suitable nearby points. The partial least square PLS based on the cubic spline function or the ...

Partial Least Squares (PLS) based Structural Equation Modeling (SEM) has become increasingly popular in Management Information Systems (MIS) research to model complex relationships and to make valid inferences from the restricted sample to the larger population. Given the larger goal of creating generalizable theories in MIS research, we argue that the lack of model selection criteria in PLS th...

Partial least squares is a popular method for soft modelling in industrial applications. This paper introduces the basic concepts and illustrates them with a chemometric example. An appendix describes the experimental PLS procedure of SAS/STAT software.

The composite-factor estimation dichotomy has been the epicenter of a long and ongoing debate among proponents and detractors of the use of the partial least squares (PLS) approach for structural equation modeling (SEM). In this brief research note we discuss the implementation of a new method to conduct factor-based PLS-SEM analyses, which could be a solid step in the resolution of this debate...

Hybrid linear analysis (HLA), partial least-squares (PLS) regression, and the linear least square support vector machine (LSSVM) were used to determinate the soluble solids content (SSC) of apple by Fourier transform near-infrared (FT-NIR) spectroscopy. The performance of these three linear regression methods was compared. Results showed that HLA could be used for the analysis of complex solid ...

Near-infrared (NIR) spectrometry will present a more promising tool for quantitative measurement if the robustness and predictive ability of the partial least square (PLS) model are improved. In order to achieve the purpose, we present a new algorithm for simultaneous wavelength selection and outlier detection; at the same time, the problems of background and noise in multivariate calibration a...