Binary Logistics Regression Model to Analyze Factors Influencing Technology Adoption Process Vegetable Farmers Case in Central Java Indonesia

DOI

10.2991/978-94-6463-028-2_48How to use a DOI?

Keywords

Agricultural extension; Logistic regression; Adoption process; Innovation; Vegetable farmers; Binary logistic

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 innovative technology in vegetable farmers. The results of the research after some analysis of stages such as the formation of the initial model test, 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 and vegetable 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 groups to the source of innovation with a significance value of 0.020 (p < 0.05), and the distance factor of the residential of farmers to the source of capital with a significance value of 0.010 (p < 0.05). The research showed that the probability factor influencing of technology adoption process base on the distance farmer from the capital and sources innovation, the intensity of extensions and also number of livestock and vegetable.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Muhamad Rusliyadi
AU  - Yanuar Wahyu Yudistira Ardi
AU  - Kodrad Winarno
PY  - 2022
DA  - 2022/12/12
TI  - Binary Logistics Regression Model to Analyze Factors Influencing Technology Adoption Process Vegetable Farmers Case in Central Java Indonesia
BT  - Proceedings of the International Symposium Southeast Asia Vegetable 2021 (SEAVEG 2021)
PB  - Atlantis Press
SP  - 460
EP  - 470
SN  - 2468-5747
UR  - https://doi.org/10.2991/978-94-6463-028-2_48
DO  - 10.2991/978-94-6463-028-2_48
ID  - Rusliyadi2022
ER  -