Performance of Agricultural Extension Workers in Pemalang District, Central Java, Indonesia

Agricultural extension plays an important role in the development of food agriculture, especially in efforts to increase production. This study describes the performance of agricultural extension in Pemalang Regency, Central Java on internal factors and available infrastructure. The analysis method used is a mixed method, which is a combination of descriptive statistics and simple triangulation. In Pemalang Regency, the overall performance of extension workers is 62.7% included in the sufficient category. The availability of facilities and infrastructure has no significant effect on the performance of extension workers. The results of multiple linear regression analysis found that the variables of education and the number of assisted farmers had a significant effect on the performance of extension workers, while the variables of age, working period, and regional distance did not have a significant effect on the performance of extension workers.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-05
DOI
https://doi.org/10.5281/zenodo.14285174
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
Field-Weighted Citation Impact
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article

Performance of Agricultural Extension Workers in Pemalang District, Central Java, Indonesia

Zenodo (CERN European Organization for Nuclear Research)
Energy Harvesting in Wireless Networks
article

Performance of Agricultural Extension Workers in Pemalang District, Central Java, Indonesia

article en

Abstract

Agricultural extension plays an important role in the development of food agriculture, especially in efforts to increase production. This study describes the performance of agricultural extension in Pemalang Regency, Central Java on internal factors and available infrastructure. The analysis method used is a mixed method, which is a combination of descriptive statistics and simple triangulation. In Pemalang Regency, the overall performance of extension workers is 62.7% included in the sufficient category. The availability of facilities and infrastructure has no significant effect on the performance of extension workers. The results of multiple linear regression analysis found that the variables of education and the number of assisted farmers had a significant effect on the performance of extension workers, while the variables of age, working period, and regional distance did not have a significant effect on the performance of extension workers.

Zenodo (CERN European Organization for Nuclear Research)
Diponegoro University (ID), Universitas Mahasaraswati Denpasar (ID)
Openalex Percentile: Top 70%
Energy Harvesting in Wireless Networks
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