Model Proses Adopsi Teknologi di AgroIndustri Lada dengan Fuzzy Inference System

Technology, as one component of agroindustry development system, has a strategic role. It can only be realized if new technology is difussed and adopted. Adoption of technology in the processing of white pepper is still very low. It is therefore necessary to study with the aim to develop a model of...

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Main Authors: Suci Wulandari, Eriyatno Eriyatno, Meika Syahbana Rusli, B. S. Kusmuljono
Format: Article
Language:English
Published: Universitas Andalas 2011-10-01
Series:Jurnal Optimasi Sistem Industri
Online Access:http://josi.ft.unand.ac.id/index.php/josi/article/view/129
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spelling doaj-a2c9f69cee734f2fb2d12773dda370522020-11-25T00:45:38ZengUniversitas AndalasJurnal Optimasi Sistem Industri2088-48422442-87952011-10-0110214515310.25077/josi.v10.n2.p145-153.201196Model Proses Adopsi Teknologi di AgroIndustri Lada dengan Fuzzy Inference SystemSuci WulandariEriyatno EriyatnoMeika Syahbana RusliB. S. KusmuljonoTechnology, as one component of agroindustry development system, has a strategic role. It can only be realized if new technology is difussed and adopted. Adoption of technology in the processing of white pepper is still very low. It is therefore necessary to study with the aim to develop a model of agroindustry technology adoption process, and to formulate strategic policy for its acceleration. Model of measuring and predicting user acceptance of new technology is adopted from Unified Theory of Acceptance and Use of Technology (UTAUT) model. Mapping and prediction model technology adoption rates are expressed as a form of usage behavior. The model consists of two parts sub models namely intention to use sub models and support facilities sub model. To deal with vagueness in analysis of technology adoption, fuzzy inference system is used on mapping and level prediction of technology adoption. Keywords: technology, process, model, fuzzy inference system, agroindustryhttp://josi.ft.unand.ac.id/index.php/josi/article/view/129
collection DOAJ
language English
format Article
sources DOAJ
author Suci Wulandari
Eriyatno Eriyatno
Meika Syahbana Rusli
B. S. Kusmuljono
spellingShingle Suci Wulandari
Eriyatno Eriyatno
Meika Syahbana Rusli
B. S. Kusmuljono
Model Proses Adopsi Teknologi di AgroIndustri Lada dengan Fuzzy Inference System
Jurnal Optimasi Sistem Industri
author_facet Suci Wulandari
Eriyatno Eriyatno
Meika Syahbana Rusli
B. S. Kusmuljono
author_sort Suci Wulandari
title Model Proses Adopsi Teknologi di AgroIndustri Lada dengan Fuzzy Inference System
title_short Model Proses Adopsi Teknologi di AgroIndustri Lada dengan Fuzzy Inference System
title_full Model Proses Adopsi Teknologi di AgroIndustri Lada dengan Fuzzy Inference System
title_fullStr Model Proses Adopsi Teknologi di AgroIndustri Lada dengan Fuzzy Inference System
title_full_unstemmed Model Proses Adopsi Teknologi di AgroIndustri Lada dengan Fuzzy Inference System
title_sort model proses adopsi teknologi di agroindustri lada dengan fuzzy inference system
publisher Universitas Andalas
series Jurnal Optimasi Sistem Industri
issn 2088-4842
2442-8795
publishDate 2011-10-01
description Technology, as one component of agroindustry development system, has a strategic role. It can only be realized if new technology is difussed and adopted. Adoption of technology in the processing of white pepper is still very low. It is therefore necessary to study with the aim to develop a model of agroindustry technology adoption process, and to formulate strategic policy for its acceleration. Model of measuring and predicting user acceptance of new technology is adopted from Unified Theory of Acceptance and Use of Technology (UTAUT) model. Mapping and prediction model technology adoption rates are expressed as a form of usage behavior. The model consists of two parts sub models namely intention to use sub models and support facilities sub model. To deal with vagueness in analysis of technology adoption, fuzzy inference system is used on mapping and level prediction of technology adoption. Keywords: technology, process, model, fuzzy inference system, agroindustry
url http://josi.ft.unand.ac.id/index.php/josi/article/view/129
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