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}
}

Citation Format:

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.

Fulltext View|Download

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

Article Metrics:

Article Info

Section: Articles

Language : EN

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

Recent articles

IMPLEMENTATION OF PENTAHELIX FRAMEWORK ON THE DEVELOPMENT OF PUJON KIDUL TOURISM VILLAGE, PUJON DISTRICT, MALANG REGENCY LAND AND LABOR INSTITUTION IN URBAN AGRICULTURE IN SUPPORTING FOOD SECURITY IN MAKASSAR CITY THE MARKETING CHAIN OF RICE PRODUCTS IN ACEH PROVINCE More recent articles

Alotaibi, B. A., Yoder, E., & Kassem, H. S. (2021). Extension Agents’ Perceptions of the Role of Extension Services in Organic Agriculture: A Case Study from Saudi Arabia. Sustainability, 13(9), 4880. MDPI AG. Retrieved from http://dx.doi.org/10.3390/su13094880
B. Banerjee, S., Martin, S., Roberts, R., Larkin, S., Larson, J., Paxton, K., Reeves, J. (2008). A Binary Logit Estimation of Factors Affecting Adoption of GPS Guidance Systems by Cotton Producers. Journal of Agricultural and Applied Economics, 40(1), 345-355. doi: 10.1017/S1074070800028157
B. Rusli. (2013) Faktor-Faktor yang Mempengaruhi Adopsi Inovasi Pertanian PUAP dan Non PUAP di Kalimantan Barat (Studi Kasus: Kabupaten Pontianak dan Landak). Jurnal Informatika Pertanian vol. 23, no. 1, pp. 65-74, Pontianak: Balai Pengkajian Teknologi Pertanian Kalimantan Barat, 2013
Bo Li, Junqi Ding, Jieqiong Wang, Biao Zhang, Lingxian Zhang. (2021). Key factors affecting the adoption willingness, behavior, and willingness-behavior consistency of farmers regarding photovoltaic agriculture in China, Energy Policy, Volume 149, 2021, 112101, ISSN 0301-4215, https://doi.org/10.1016/j.enpol.2020.112101.(https://www.sciencedirect.com/science/article/pii/S0301421520308120)
C S T Ngomi, A A A Fadikpe , M J Y Ngaba , QP Chen , M F M Nfonbeu and JZ Yang. (2020). Impact of adoption of agricultural extension services on farm households food security in Cameroon. IOP Conf. Ser.: Earth Environ. Sci. 601 012001
D.W. Hosmer, and S. Lemeshow. (2000). “Applied Logistic Regression,” John Wiley and Sons Inc., New York, 2000
F. Janssen, “Do Managers’ Characteristics Influence the Employment Growth of SMEs?.” PP. 293-315. Journal of Small Business & Entrepreneurship, 19 (3), 2006
Howitt, D., and Cramer, D. (2011). An Introduction to Statistics in Psychology. UK: Prentice Hall. Kamau, M., Smale, M., and Mutua, M. ( 2014). Farmer demand for soil fertility management practices in Kenya’s grain basket, Food Security, 6(6), 793-806
J. Yang, Y. Jiao and C. Zhang, (2011). "A Binary Logit Estimation of Controllable Factors Affecting Adoption of RFID by Agro-food Firms," 2011 IEEE 8th International Conference on e-Business Engineering, 2011, pp. 273-277, doi: 10.1109/ICEBE.2011.13
Khalid M., Al-Badri B., Dhehibi B., (2017). Economic Analysis of the Factors Affecting the Adoption of Sub Surface Irrigation Technology in Iraq. International Journal of Science and Research (IJSR), 6: 1777-1783, ISSN (Online): 2319-7064
L. Wondale, D, Molla and D. Tilahun. (2016). Logit analysis of factors affecting adoption of improved bread wheat (Triticum aestivum L.) variety: The case of Yilmana Densa District, West Gojam, Ethiopia. Journal of Agricultural Extension and Rural Development. Vol.8(12), pp. 258-268, December 2016 DOI: 10.5897/JAERD2016.0768ArticlesNumber:3E9DF0D61693ISSN2141-2170http://www.academicjournals.org/JAERD
M.A Abdullah, S.S. Dlay, W.L Woo & J.A. Chambers. (2016) “Metode segmentasi iris yang kuat berdasarkan gaya kontur aktif baru dengan normalisasi nonsirkular.” Transaksi IEEE pada sistem, manusia, dan sibernetika: Sistem, 47 (12), 3128-3141, 2016
P, Ho Dinh and D, Phat Huynh and Quang, Minh Bui. (2021) Factors Influencing New Technology Adoption Behaviors of Rice Farmers: Binary Logistic Regression Model Approach (October 23, 2021). International Journal of Business and Management Review, Vol.9, No.4, pp.54-71, Available at SSRN: https://ssrn.com/abstract=3948497
Sekele, L. A., Mokhaukhau, J. P., Cholo, M. S., Mayekiso, A. (2020). A binary logistic analysis on factors affecting the participation of smallholder farmers in the market of indigenous chickens (ICs). J. Agribus. Rural Dev., 4(58), 415–422. http://dx.doi.org/ 10.17306/J.JARD.2020.01340
¬Silva K.N.N., Broekel T., (2016). Factors constraining Farmers’ adoption of new Agricultural Technology Programme in Hambantota District. In: Sri Lanka: Perceptions of Agriculture Extension Officers, 13th International Conference on Business Management 2016, 378-398
M.H. Kutner, C.J. Nachtsheim dan J.Neter. (2004) “Applied Linear Regression Models. Fourth Edition,” The Mc Graw-Hill Companies Inc., Singapore, 2004
R. Hendayana. (2012). Penerapan Metode Regresi Logistik dalam Mengenalisis Adopsi Teknologi Pertanian. Jurnal Informatika pertanian, vol. 22, no. 1, pp. 1-9, Bogor: Balai Besar Pengkajian dan Pengembangan Teknologi Pertanian, 2012
Rusliyadi, M. (2021). The Role of the Institutional, Assistance, and Source Information Analysis on Food Security and Extension Policy: Case in Indonesia. In S. Abd El-Kader, & B. Mohammad El-Basioni (Eds.), Precision Agriculture Technologies for Food Security and Sustainability (pp. 275-290). IGI Global. https://doi.org/10.4018/978-1-7998-5000-7.ch012
Rusliyadi, M., & Jamil, A. B. (2020). Participatory Poverty Assessment Effort in Food Security and Extension Policy: Evidence From Indonesia. In V. Erokhin & T. Gao (Eds.), Handbook of Research on Globalized Agricultural Trade and New Challenges for Food Security (pp. 481–499). IGI Global. doi: 10.4018/978-1-7998-1042-1.ch024
Rusliyadi, M., & Libin, W. (2018). Agriculture development programs for poverty reduction evidences from Indonesia and China - comparative study case. Asian Journal of Agriculture and Rural Development, 8(2), 104–118
Rusliyadi, M., Jamil, A., Mohd, B., & Kumalasari, R. T. (2019). Analysis of household food security policy: Case of food security village programme, Indonesia. Asian Journal of Agriculture and Rural Development, 9(1), 19–32

Last update:

No citation recorded.

Last update:

No citation recorded.

Starting from 2021, the author(s) whose article is published in the Agrisocionomics journal attain the copyright for their article. By submitting the manuscript to Agrisocionomics, the author(s) agree with this policy. No special document approval is required.

The author(s) guarantee that:

Their article is original, written by the mentioned author(s),
Has never been published before,
Does not contain statements that violate the law, and
Does not violate the rights of others, is subject to copyright held exclusively by the author(s), and is free from the rights of third parties, and that the necessary written permission to quote from other sources has been obtained by the author(s).

The author(s) retain all rights to the published work, such as (but not limited to) the following rights:

Copyright and other proprietary rights related to the article, such as patents,
The right to use the substance of the article in its own future works, including lectures and books,
The right to reproduce the article for its own purposes,
The right to archive all versions of the article, and
The right to enter into separate additional contractual arrangements for the non-exclusive distribution of published versions of the article (for example, posting them to institutional repositories or publishing them in a book), acknowledging its initial publication in this journal.

If the article was prepared jointly by more than one author, each author submitting the manuscript warrants that they have been given permission by all co-authors to agree to copyright and license notices (agreements) on their behalf, and agree to notify the co-authors of the terms of this policy. Agrisocionomics will not be held responsible for anything that may arise because of the writer's internal dispute. Agrisocionomics will only communicate with correspondence authors.

Authors should also understand that once published, their articles (and any additional files, including data sets, and analysis/computation data) will become publicly available. The license of published articles (and additional data) will be governed by the Creative Commons Attribution license as currently featured on the Creative Commons Attribution-ShareAlike 4.0 International License. Agrisocionomics allows users to copy, distribute, display and perform work under license. Users need to attribute the author(s) and Agrisocionomics to distribute works in journals and other publication media. Unless otherwise stated, the author(s) is a public entity as soon as the article is published.