Binary Logistics Regression Model For Analyze Factors Influencing Technology Adoption Process Vegetable Farmers Case in Central Java Indonesia Muhamad Rusliyadi 1, Yanuar Wahyu Yudistira Ardi 1, Kodrad Winarno 2
1 Polytechnic of Agricultural Development Yogyakarta-Magelang
2 Indonesian Centre for Agricultural Education
Abstract
Agricultural extension activities as a form of educational facilities for the community, especially farmers have an important role in making changes with innovations delivered to vegetable farmers. The adoption process of innovation can affect the occurrence of behavior changes that can be observed directly or indirectly. This study aims to determine the application of binary logistics regression in analyzing the factors that influence the adoption process of innovation technology in vegetable farmers. From the results of the analysis after going through a series of stages of formation of the initial model, simultaneous tests, partial test, and model match test obtained the results of factors that affect the adoption process of technology is a factor in the number of livestock with a significance value of 0.006 (p<0.05), an intensity factor of extension with a significance value of 0.039 (p<0.05), a factor in the distance of residential of women farmers the source of innovation with a significance value of 0.020 (p<0.05), and the distance factor of the residential of women farmers to the source of capital with a significance value of 0.010 (p<0.05).
