scholarly journals PENERAPAN METODE GENERALIZED STRUCTURED COMPONENT ANALYSIS PADA KEPUASAN KONSUMEN (Studi Kasus: Pasien Klinik Q)

2020 ◽  
Vol 9 (4) ◽  
pp. 454-463
Author(s):  
Farisiyah Fitriani ◽  
Agus Rusgiyono ◽  
Tatik Widiharih
Keyword(s):  
Structural Equation Modeling ◽  
Latent Variables ◽  
Random Sampling ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Component Analysis ◽  
Least Square ◽  
Equation Modeling ◽  
Generalized Structured Component Analysis ◽  
The Impact

Customer satisfaction is used by a company to evaluate products or services whether it is sufficient with customer’s expectations. Satisfaction is influenced by factors that cannot be measured directly are called latent variables and can be measured through indicators used to measure satisfaction with Structural Equation Modeling (SEM). Generalized Structured Component Analysis (GSCA) method is part of a SEM based on a variant that does not require the assumption of a multivariate normal distribution and has a measure overall goodness of fit. The parameters used are factor loading, coefficients parameter, and weight of indicators and estimated with alternating least square. The type of data used primary data from the results of the questionnaire with stratified proportional random sampling and number of samples 286. This research using indicators as measurable variables as many 32 indicators and 8 latent variable. Considering to the evaluation of the structural model, it is found there are 5 variables that influence satisfaction, they are prices, quality yield, cleanliness, doctor's services, and employee services with a large influence of 77.18% and the impact of satisfaction on loyalty is 48.63 %. For the overall goodness of fit measure, it is known that the FIT value is 63.75% and the adjusted FIT (AFIT) value is 63.47%. The goodness of fit (GFI) produced the value in the amount of 96.43%, indicating that the general model has the good level of compatibility.Keywords: Generalized Structured Component Analysis, Structural Equation Modeling, Overall goodness of fit, Alternating Least Square, Stratified Proportional Random Sampling

scholarly journals Cutoff criteria for overall model fit indexes in generalized structured component analysis

2020 ◽  
Vol 8 (4) ◽  
pp. 189-202
Author(s):  
Gyeongcheol Cho ◽  
Heungsun Hwang ◽  
Marko Sarstedt ◽  
Christian M. Ringle
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Component Analysis ◽  
Model Fit ◽  
Equation Modeling ◽  
Generalized Structured Component Analysis ◽  
Root Mean Square Residual ◽  
Fit Indexes ◽  
Cutoff Criteria

AbstractGeneralized structured component analysis (GSCA) is a technically well-established approach to component-based structural equation modeling that allows for specifying and examining the relationships between observed variables and components thereof. GSCA provides overall fit indexes for model evaluation, including the goodness-of-fit index (GFI) and the standardized root mean square residual (SRMR). While these indexes have a solid standing in factor-based structural equation modeling, nothing is known about their performance in GSCA. Addressing this limitation, we present a simulation study’s results, which confirm that both GFI and SRMR indexes distinguish effectively between correct and misspecified models. Based on our findings, we propose rules-of-thumb cutoff criteria for each index in different sample sizes, which researchers could use to assess model fit in practice.

TRANSPARANSI PAJAK DAN KEPERCAYAAN WAJIB PAJAK TERHADAP KEPATUHAN WAJIB PAJAK (SURVEI PADAWAJIB PAJAK KOTA DKI JAKARTA)

2019 ◽  
Vol 4 (1) ◽  
pp. 1-18
Author(s):  
Madjidainun Rahma
Keyword(s):  
Structural Equation Modeling ◽  
Random Sampling ◽  
Structural Equation ◽  
Sampling Technique ◽  
Target Population ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Research Results ◽  
Positive Effect

This research aims to identify and examine the effect of the Tax Transparency and Trust Taxpayers Against the Taxpayer Compliance existing areas of Jakarta. The method used is descriptive and associative. Target population studied is Unit in Unit 14 Analysis of the Tax Office in the region of Jakarta. Sampling technique used is random sampling. Model influence analyzed using SEM (Structural Equation Modeling ) with alternative method PLS ( Partial Least Square ) which is aimed at testing the Influence between Tax Transparency and Trust Taxpayers Against the Taxpayer Compliance that there diunit analysis has been given permission to conduct research. Results of the analysis showed that partially Tax Transparency and unsignificant positive effect on the Taxpayer Compliance. Similarly, the Trust Taxpayers partially positive and significant impact to the Taxpayer Compliance . Simultaneously Transparency and Trust Tax Taxpayers Against the Taxpayer Compliance effect, this means that the Tax and Trust trades Taxpayers together will increase the Taxpayer Compliance.   Keywords: Tax Transparency, Trust, Taxpayer Compliance.     Penelitan ini bertujuan untuk mengetahui dan menguji pengaruh Transparansi Pajak dan Kepercayaan Wajib Pajak Terhadap Kepatuhan Wajib Pajak yang ada wilayah DKI Jakarta. Metode yang digunakan adalah deskriptif dan asosiatif. Populasi target yang diteliti ialah Satuan Kerja yang ada di Unit Analisis 14 Kantor Pelayanan Pajak diwilayah DKI Jakarta. Teknik sampel yang digunakan ialah random sampling. Model pengaruh di analisa menggunakan analisis SEM (Structural Equation Modeling) dengan metode alternative PLS (Partial Least Square) yang bertujuan menguji Pengaruh antara Transparansi Pajak dan Kepercayaan Wajib Pajak Terhadap Kepatuhan Wajib Pajak yang ada diunit analisis yang telah diberi ijin untuk melakukan penelitian. Hasil analisis menunjukan bahwa Transparansi Pajak secara parsial berpengaruh positif dan tidak signifikan terhadap Kepatuhan Wajib Pajak. Begitu pula dengan Kepercayaan Wajib Pajak yang secara parsial berpengaruh positif dan signifikan terhadap Kepatuhan Wajib Pajak. Secara simultan Transparansi Pajak dan Kepercayaan Wajib Pajak berpengaruh Terhadap Kepatuhan Wajib Pajak, hal ini berarti bahwa dengan Transakasi Pajak dan Kepercayaan Wajib Pajak bersama-sama maka akan meningkatkan Kepatuhan Wajib Pajak.

scholarly journals DAMPAK IKLIM ORGANISASI TERHADAP STRES KERJA DAN KINERJA KARYAWAN

2017 ◽  
Vol 20 (1) ◽  
pp. 121 ◽  
Author(s):  
Muhammad Rasyid Abdillah ◽  
Rizqa Anita ◽  
Rita Anugerah
Keyword(s):  
Structural Equation Modeling ◽  
Organizational Climate ◽  
Job Stress ◽  
Structural Equation ◽  
Employee Performance ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Head Office ◽  
The Impact

Penelitian ini bertujuan untuk menguji dampak iklim organisasi terhadap stres kerja dan kinerja karyawan. Data yang digunakan dalam penelitian ini adalah data primer dalam bentuk kuesioner dimana subjek penelitiannya adalah para 45 karyawan PT. Adei Plantation & Industry Head Office Pekanbaru Riau. Pengujian hipotesis menggunakan Structural Equation Modeling Partial Least Square. Hasil penelitian menunjukkan bahwa iklim organisasi berpengaruh terhadap stres kerja dan kinerja karyawan. Selain itu, hasil ini juga menunjukkan bahwa pengaruh iklim organisasi terhadap kinerja karyawan adalah pengaruh tidak langsung melalui stres kerja.This study aims to examine the impact of organizational climate on job stress and employee performance. The data used in this study was primary data in the form of a questionnaire in which the research subjects are 45 employees of PT. Adei Plantation & Industry Head Office Pekanbaru Riau. To test the hypothesis using Structural Equation Modeling Partial Least Square. The result suggest that organizational climate influence on job stress and employee performance. In addition, result also suggest that the effect of organizational climate on employee performance is indirect influence through job stress.

scholarly journals PENINGKATAN KEUNGGULAN BERSAING MELALUI DIFERENSIASI PRODUK DAN DIFERENSIASI CITRA SERTA PENGARUHNYA TERHADAP KINERJA PEMASARAN IKM KOPI DI KABUPATEN TEMANGGUNG

2019 ◽  
Vol 13 (2) ◽  
pp. 69-77
Author(s):  
Ela Wulandari ◽  
Indri Murniawaty
Keyword(s):  
Structural Equation Modeling ◽  
Random Sampling ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling

Penelitian ini bertujuan untuk mengetahui pengaruh diferensiasi produk dan diferensiasi citra terhadap keunggulan bersaing dan pengaruhnya terhahadap kinerja pemasaran Industri Kecil Menengah Kopi di Kabupaten Temanggung. Populasi dalam penelitian ini sebanyak 156 responden. Teknik pengambilan sampel menggunakan teknik proporsional area random sampling, penentuan jumlah sampel menggunakan rumus Slovin, sehingga diperoleh 61 responden dengan taraf signifikansi 10%. Metode pengumpulan data dengan kuesioner dan dokumentasi. Analisis data menggunakan SEM PLS (Structural Equation Modeling Partial Least Square). Hasil analisis menunjukkan hasil yang signifikan dan positif dari diferensiasi produk terhadap keunggulan bersaing, sedangkan diferensiasi citra tidak berpengaruh signifikan terhadap keunggulan bersaing dan keunggulan bersaing berpengaruh positif dan signifikan terhadap kinerja pemasaran. Simpulan yang diperoleh adalah semakin tinggi perusahaan menerapkan strategi diferensiasi produk maka akan meningkatkan keunggulan bersaing, namun semakin tinggi diferensiasi citra yang diterapkan perusahaan belum tentu meningkatkan keunggulan bersaing dan keunggulan bersaing meningkatkan kinerja pemasaran

scholarly journals COVID-19 Risk Factors, Economic Factors, and Epidemiological Factors nexus on Economic Impact: Machine Learning and Structural Equation Modelling Approaches

2021 ◽  
pp. 395-405
Author(s):  
David Opeoluwa Oyewola ◽  
Emmanuel Gbenga Dada ◽  
Juliana Ngozi Ndunagu ◽  
Terrang Abubakar Umar ◽  
Akinwunmi S.A
Keyword(s):  
Machine Learning ◽  
Risk Factors ◽  
Structural Equation Modeling ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Modeling ◽  
Support Vector ◽  
Economic Factors ◽  
Negative Effects ◽  
The Impact

Since the declaration of COVID-19 as a global pandemic, it has been transmitted to more than 200 nations of the world. The harmful impact of the pandemic on the economy of nations is far greater than anything suffered in almost a century. The main objective of this paper is to apply Structural Equation Modeling (SEM) and Machine Learning (ML) to determine the relationships among COVID-19 risk factors, epidemiology factors and economic factors. Structural equation modeling is a statistical technique for calculating and evaluating the relationships of manifest and latent variables. It explores the causal relationship between variables and at the same time taking measurement error into account. Bagging (BAG), Boosting (BST), Support Vector Machine (SVM), Decision Tree (DT) and Random Forest (RF) Machine Learning techniques was applied to predict the impact of COVID-19 risk factors. Data from patients who came into contact with coronavirus disease were collected from Kaggle database between 23 January 2020 and 24 June 2020. Results indicate that COVID-19 risk factors have negative effects on epidemiology factors. It also has negative effects on economic factors.

scholarly journals PEMODELAN STRUKTURAL DARI EMOSI POSITIF SEBAGAI PEMEDIASI TERHADAP PEMBELIAN TIDAK TERENCANA

2015 ◽  
Vol 4 (3) ◽  
pp. 104
Author(s):  
NI WAYAN ARNI YANITA ◽  
KETUT JAYANEGARA ◽  
I PUTU EKA N. KENCANA
Keyword(s):  
Structural Equation Modeling ◽  
Indirect Effect ◽  
Latent Variables ◽  
Structural Equation ◽  
Positive Emotions ◽  
Goodness Of Fit ◽  
Situational Factors ◽  
Equation Modeling ◽  
Impulse Buying ◽  
Mediation Models

Latent variables are variables that can not be observed directly. Latent variables can be observed with constituent indicators. One of the methods used to analyze the latent variables are Structural Equation Modeling (SEM). This research raised the case of impulse buying to be applied to the SEM method. Impulse buying influenced by the characteristics of the hypermarket, situational factors, the characteristics of the product, promotion and positive emotions. The purpose of this research was to determine the effect dari positive emotions as mediation to impulse buying.The results obtained indicate that positive emotions directly affect the impulse buying of 0.302, promotion directly affects the positive emotions of 0.367, and the promotion of indirect effect to impulse buying of 0.111. So positive emotions can mediate to impulse buying of 0.020. Goodness of fit mediation models not good with value 0.39.

scholarly journals Structural Equation Modeling of the Factors Affecting the Nutritional Status of Children Under Five in Banyuwangi Region using Recursive (one-way) GSCA

2015 ◽  
Vol 16 (1) ◽  
pp. 1
Author(s):  
I Made Tirta ◽  
Nawal Ika Susanti ◽  
Yuliani Setia Dewi
Keyword(s):  
Structural Equation Modeling ◽  
Nutritional Status ◽  
Structural Equation ◽  
Economic Status ◽  
Bootstrap Method ◽  
Component Analysis ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Parameter Estimates

Structural Equation Modeling is one among popular multivariate analysis, especially applied in pschology and marketing. There are two main types of Structural Equation Modeling namely covariance-based or CB-SEM and variance-based or Partial Least Square (PLS)- SEM. Both types have advantages and disadvantage. To overcome its limitation, Generalized Structured Component Analysis (GSCA) was then proposed as an extension of PLS-SEM. In estimating the parameters, GSCA uses Alternating Least Squares (ALS) and in estimating the standard error of the parameter estimates it uses the bootstrap method. In this paper, GSCA is applied to study the causality model of Infant nutritional status, in relation with socio-economic status and infantcare status in Banyuwangi Region. The results show that both socio-economic and infantcare status have significant positive influence on infant nutritional status.Keywords:  Alternating least square, generalized structural component analysis,  nutritional status of infants,  structural equation modelling

scholarly journals PENGARUH MOTIVASI DAN KOMPETENSI APARATUR TERHADAP KUALITAS INFORMASI AKUNTANSI BARANG MILIK NEGARA

2017 ◽  
Vol 2 (1) ◽  
pp. 20
Author(s):  
Lucky Nugroho ◽  
Dewi Eva Kiranti
Keyword(s):  
Structural Equation Modeling ◽  
Random Sampling ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling

Penelitan ini bertujuan untuk mengetahui dan menguji pengaruh motivasi ketja dan kompetensi aparatur terhadap kualitas informasi akuntansi Barang Milik Negara pada Satuan Kerja yang ada di lingkungan Kementerian Tenaga Kerja dan Trasmigrasi RI. Metode yang digunakan adalah deskriptif dan asosiatif. Populasi target yang diteliti ialah Satuan Kerja yang ada di Kementerian Tenaga Kerja dan Transmigrasi. Teknik sampel yang digunakan ialah random sampling. Model pengaruh dianalisa menggunakan analisis SEM (Structural Equation Modeling) dengan metode alternative PLS (Partial Least Square) yang bertujuan menguji hubungan dan pengaruh antara motivasi kerja dan kompetensi aparatur terhadap kualitas informasi akuntansi Barang Milik Negara yang ada di lingkungan Kementerian Tenaga Kerja dan Transmigrasi. Hasil analisis menunjukan bahwa motivasi kerja secara parsial berpengaruh positif dan signifikan terhadap kualitas informasi akuntansi Barang Milik Negara. Begitu pula dengan kompetensi aparatur yang secara parsial berpengaruh positif dan signifikan terhadap kualitas informasi akuntansi Barang Milik Negara. Secara simultan motivasi kerja dan kompetensi aparatur berpengaruh terhadap kualitas informasi akuntansi barang milik nagara, hal ini berarti bahwa dengan motivasi kerja yang baik dan juga aparatur yang berkompeten maka akan menghasilkan informasi akuntansi barang milik Negara yang berkualitas.

scholarly journals Resilience Analysis of Crisis in Medical Environments: A Structural Equation Modeling based on Crisis Management Components

2022 ◽  
Author(s):  
SAMIRA GHIYASI ◽  
FATEMEH VERDI BAGHDADI ◽  
FARSHAD HASHEMZADEH ◽  
AHMAD SOLTANZADEH
Keyword(s):  
Structural Equation Modeling ◽  
Crisis Management ◽  
Work Experience ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Equation Modeling ◽  
Fit Indices ◽  
Cross Sectional ◽  
Resilience Index ◽  
The Impact

Enhancing the index of crisis resilience is one of the key goals in medical environments. Various parameters can affect crisis resilience. The current study was designed to analyze crisis resilience in medical environments based on the crisis management components. This cross-sectional and descriptive-analytical study was performed in 14 hospitals and medical centers, in 2020. A sample size of 343.5 was determined based on the Cochran's formula. We used a 44-item crisis management questionnaire of Azadian et al. to collect data. The components of this questionnaire included management commitment, error learning, culture learning, awareness, preparedness, flexibility, and transparency. The data was analyzed based on the structural equation modeling approach using IBM SPSS AMOS v. 23.0. The participants’ age and work experience mean were 37.78±8.14 and 8.22±4.47 years. The index of crisis resilience was equal to 2.96±0.87. The results showed that all components of crisis management had a significant relationship with this index (p <0.05). The highest and lowest impact on the resilience index were related to preparedness (E=0.88) and transparency (E=0.60). The goodness of fit indices of this model including RMSEA, CFI, NFI, and NNFI (TLI) was 2.86, 0.071, 0.965, 0.972, and 0.978. The index of crisis resilience in the medical environments was at a moderate level. Furthermore, the structural equation modeling findings indicated that the impact of each component of crisis management should be considered in prioritizing measures to increase the level of resilience.  

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