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ITS » Paper and Presentation » S3 - Statistika
Posted by tondoindra@gmail.com at 24/09/2014 21:48:32  •  1237 Views


PENGEMBANGAN METODE ESTIMASI SEM NONSTANDAR PADA ANALISIS TECHNOLOGY ACCEPTANCE MODEL

NON STANDAR SEM METHOD FOR TECHNOLOGY ACCEPTANCE MODEL ANALYSIS

Author :
ANGGOROWATI, MARGARETHA ARI ( 1309301702 )




ABSTRAK

Technology Acceptance Model TAM adalah model yang paling berkembang dalam analisa perilaku pengguna untuk mau menerima dan menggunakan suatu teknologi baru. Tujuan dari penelitian TAM adalah memberikan penjelasan dari penerimaan pengguna terhadap suatu teknologi. Dalam analisis TAM dibutuhkan metode statistik yang dapat menjelaskan hubungan antar konstruk di dalam struktur TAM. Structural Equation Model SEM adalah metode statistik yang paling banyak digunakan dalam analisis TAM. Dalam perkembangannya dikenal dua macam bentuk SEM yaitu SEM standar dan SEM non-standar. SEM Standar membutuhkan terpenuhinya beberapa asumsi diantaranya normalitas dan linieritas. Salah satu tahap yang penting untuk mendeteksi hubungan di dalam model SEM adalah uji linieritas. Penelitian ini fokus pada pengembangan metode uji linieritas dan estimasi serta pemilihan model terbaik pada SEM non-standar. SEM non-standar dalam penelitian ini difokuskan pada kajian permasalahan sampel kecil dan hubungan non-linier antar variabel laten di dalam model SEM non-linier. Pendekatan Bayesian digunakan untuk mengatasi permasalahan yang disebabkan karena tidak terpenuhinya asumsi pada bentuk SEM non-standar. Hasil kajian teoritis akan diterapkan pada analisis adopsi teknologi pengolahan data Sensus Penduduk 2010 di Badan Pusat Statistik BPS.


ABSTRACT

Technology Acceptance Model TAM is the most advance model in user behaviour to accept and use a new technology. The aim of TAM research is getting this explanation. TAM analysis neeeds statistics method that can explain the relations between constructs in TAMs structure. Structural Equation Model SEM is implemented largely in TAM analysis. There are two categories of SEM i.e Standard SEM and Non-standard SEM. Standard SEM satisfy some assumptions that are normality and linearity. An important step in SEM analysis is detection of linearity. This study focuses on extending of linearity test estimation and best model selection method for Non-standard SEM. It has center of attention on non-linier effects and small sample size. Bayesian approach was implemented for handling the problems that bring about unsatisfy the assumptions. This theory analysis was employed in technology adoption for 2010 Population Census Data Processing in Badan Pusat Statistik BPS.



KeywordsBayesian,SEM, TAM, SEM Non-standar, Non-linier,
 
Subject:  Analisis multivarian; Statistik
Contributor
  1. Prof. Drs. Nur Iriawan, M.IKomp., Ph.D
  2. Dr. Suhartono, M.Sc
Date Create: 21/07/2012
Type: Text
Format: PDF
Language: Indonesian
Identifier: ITS-paper-13021140005304
Collection ID: 13021140005304
Call Number: RDSt 519.53 Ang p


Source
Paper And Presentation of Statistic RDSt 519.53 Ang p,2014

Rights
Copyright @2012 by ITS Library. This publication is protected by copyright and per obtained from the ITS Library prior to any prohibited reproduction, storage in a re transmission in any form or by any means, electronic, mechanical, photocopying, reco For information regarding permission(s), write to ITS Library




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ITS-paper-13021140005304-31790.pdf




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