Model Proses Adopsi Teknologi di AgroIndustri Lada dengan Fuzzy Inference System

Main Article Content

Suci Wulandari
Eriyatno Eriyatno
Meika Syahbana Rusli
B. S. Kusmuljono



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


Download data is not yet available.


[1] M. Y. Chuttur, Overview of the Technology Acceptance Model: Origins, Developments and Future Directions, Indiana University, USA, Sprouts: Working Papers on Information Systems, 2009. [2] Eriyatno, Peran Agroindustri dalam Memacu Pertumbuhan Ekonomi Negara New Emerging Market. Makalah disampkaian pada Seminar Agroindustri, Universitas Haluoleo, Kendari pada 10 November 2010, 2010. [3] R. Flett, F. Alpass, S. Humphries, C. Massey, S. Morriss, and N. Long, The Technology Acceptance Model and Use of Technology in New Zealand Dairy Farming, Agricultural Systems, Vol. 80, no. 2: 199-211, 2004. [4] C. Kahraman, Multi-Criteria Decision Making Methods And Fuzzy Sets. Di dalam: Fuzzy Multi-Criteria Decision Making Theory and Applications with Recent Developments, Cengiz Kahraman, Editor, Springer Science Business Media, LLC: 1-18, 2008. [5] S. Kusumadewi, Analisis dan Desain Sistem Fuzzy Menggunakan Toolbox Matlab, Graha Ilmu, 2002. [6] S. Kusumadewi and H. Purnomo, Aplikasi Logika Fuzzy untuk Pendukung Keputusan. Graha Ilmu, 2004. [7] Nigeria Agriculture Policy Support Facilities, National Economic Empowerment and Development Strategy, National Economic Empowerement and Development, 2008.