THE FACTORS INFLUENCING TECHNOLOGY ADOPTION PROCESS OF FARMERS IN TERM OF AGRICULTURAL EXTENSION POLICY CASE IN CENTRAL JAVA INDONESIA

Muhamad Rusliyadi; Yanuar Wahyu Yudistira Ardi; Kodrad Winarno

doi:10.14710/agrisocionomics.v7i2.16147

DOI: https://doi.org/10.14710/agrisocionomics.v7i2.16147

THE FACTORS INFLUENCING TECHNOLOGY ADOPTION PROCESS OF FARMERS IN TERM OF AGRICULTURAL EXTENSION POLICY CASE IN CENTRAL JAVA INDONESIA

*Muhamad Rusliyadi

- Polytechnic of Agricultural Development Yogyakarta-Magelang, Magelang, Indonesia, Indonesia

Yanuar Wahyu Yudistira Ardi - Polytechnic of Agricultural Development Yogyakarta – Magelang, Magelang, Central Java, Indonesia, Indonesia

Kodrad Winarno - Indonesian Centre for Agricultural Education, Jakarta, Indonesia, Indonesia

BibTex Citation Data :

@article{Agrisocionomics16147,
    author = {Muhamad Rusliyadi and Yanuar Yudistira Ardi and Kodrad Winarno},
    title = {THE FACTORS INFLUENCING TECHNOLOGY ADOPTION PROCESS OF FARMERS IN TERM OF AGRICULTURAL EXTENSION POLICY CASE IN CENTRAL JAVA INDONESIA},
    journal = {Agrisocionomics: Jurnal Sosial Ekonomi Pertanian},
  volume = {7},
    number = {2},
    year = {2023},
    keywords = {adoption process, agricultural extension binary logistic model, innovation, logistic regression, vegetable farmers},
    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 farmers and making faster adoption to the field. The adoption problem process of innovation can affect the occurrence of behavior changes that can be observed directly or indirectly and give some different gap adoption to the farmer. The study aims to define the application of binary logistics regression in analyzing the factors which that influence the adoption process of innovative technology in vegetable farmers. The research method was used descriptive analysis and binary logistic regression analysis are utilized to analyze the data used in the assessment's implementation.     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 the factors that affect the adoption process of technology is a factor in the number of livestock and vegetable with a value of 0.006 (p < 0.05)  was a significance, an intensity factor of extension with the value of 0.039 (p < 0.05) was a significance, a factor in the distance of residential of women farmers groups to the source of innovation with value of 0.020 (p < 0.05) was a significance, and the distance factor of the residential of farmers to the source of capital with a value of 0.010 (p < 0.05) was a significance. The research showed that the probability factor influencing of the process technology adoption base on the distance farmer from the capital and sources innovation, the intensity of extensions and also number of livestock and vegetable  .  },
   issn = {2621-9778},   pages = {250--260}  doi = {10.14710/agrisocionomics.v7i2.16147},
    url = {https://ejournal2.undip.ac.id/index.php/agrisocionomics/article/view/16147}
}

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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 farmers and making faster adoption to the field. The adoption problem process of innovation can affect the occurrence of behavior changes that can be observed directly or indirectly and give some different gap adoption to the farmer. The study aims to define the application of binary logistics regression in analyzing the factors which that influence the adoption process of innovative technology in vegetable farmers. The research method was used descriptive analysis and binary logistic regression analysis are utilized to analyze the data used in the assessment's implementation. 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 the factors that affect the adoption process of technology is a factor in the number of livestock and vegetable with a value of 0.006 (p < 0.05) was a significance, an intensity factor of extension with the value of 0.039 (p < 0.05) was a significance, a factor in the distance of residential of women farmers groups to the source of innovation with value of 0.020 (p < 0.05) was a significance, and the distance factor of the residential of farmers to the source of capital with a value of 0.010 (p < 0.05) was a significance. The research showed that the probability factor influencing of the process technology adoption base on the distance farmer from the capital and sources innovation, the intensity of extensions and also number of livestock and vegetable.

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Keywords: adoption process, agricultural extension binary logistic model, innovation, logistic regression, vegetable farmers

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In Vol 7, No 2 (2023): June 2023

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