E3S Web Conf.
Volume 306, 2021The First International Conference on Assessment and Development of Agricultural Innovation (1st ICADAI 2021)
|Number of page(s)||11|
|Section||Agricultural Social Economics and Policy|
|Published online||24 September 2021|
Performance evaluation of sustainable agricultural-techno park development in Cigombong, West Java
Indonesian Agency for Agricultural Research and Development (IAARD), Jln Tentara Pelajar No.10, Bogor 16164, Indonesia
* Corresponding author: email@example.com
One of the efforts to accelerate the flow of technological research results to users/farmers is through the development of Agricultural Techno Park (ATP). In this study, the performance evaluation of ATP development using cluster analysis was conducted by applying the Context, Input, Process, and Product (CIPP) model. The aims were to analyze the progress of ATP through clustering techniques and to formulate alternative strategy in the future. This study was conducted using a structured survey approach involving 76 farmers, April to June 2018, at the ATP Cigombong, West Java, Indonesia. The results of distance and similarity analysis showed that aspects of input and process had a closeness of satisfaction. Innovation assistance activities are not optimal, which should lead to becoming independent farmers. The future strategy has formulated context and product indicators in a participatory manner from the beginning, so that the target group understands and detects the progress. Farmers’ needs must be identified from the beginning of ATP development to strengthen self-reliance of supporting facilities. ATP needs to formulate a new method in planning of innovation assistance. It is also important to develop new training (such as motivational training, technical and managerial skills).
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.