ASSESSMENT AND FACTORS INFLUENCING THE PERFORMANCE AGRICULTURAL EXTENSION WORKERS IN LANDAK DISTRICT: A MULTIPLE LINEAR REGRESSION APPROACH
ASSESSMENT AND FACTORS INFLUENCING THE PERFORMANCE AGRICULTURAL EXTENSION WORKERS IN LANDAK DISTRICT: A MULTIPLE LINEAR REGRESSION APPROACH
Yuti Lestari
Prodi Agribisnis, Jurusan Sosial Ekonomi Pertanian, Fakultas Pertanian, Universitas Tanjungpura, Pontianak
Dewi Kurniati
Prodi Agribisnis, Jurusan Sosial Ekonomi Pertanian, Fakultas Pertanian, Universitas Tanjungpura, Pontianak
Wanti Fitrianti
Prodi Agribisnis, Jurusan Sosial Ekonomi Pertanian, Fakultas Pertanian, Universitas Tanjungpura, Pontianak
DOI: https://doi.org/10.19184/jsep.v17i2.43874
ABSTRACT
Due to the lack of current agricultural knowledge, increasing the the capacity of agricultural extension workers is considered as necessary . The intension of this research was to analyze the performance of agricultural extension workers and the factors that influenced the performance of agricultural extension workers in Landak District. In this study, the sample were 32 of extension workers was collected using a non-probabilistic sampling technique, the software that has been used was SPSS with multiple linear regression methods. The results showed that the performance of extension workers at the field of study in 2022 with the predicate of work performance score value is 79.45, in accordance with the work performance value set by the Ministry of Agriculture in the good category. The results of multiple linear regression analysis on the performance of extension agents at the research site were significantly or significantly (positively) influenced by a formal education, work experiences of extension workers and the availability of extension facilities and infrastructure provided by the Department of Agriculture, Fisheries and Food Security of Landak Regency to extension workers.
Keywords: agricultural extension, performance.
REFERENCES
[1] BPS. (2022). Luas Wilayah Kabupaten Landak. Landak: BPS
[2] Christine, D., Wijaya, J., Chandra, K., Pratiwi, M., Lubis, M. S., & Nasution, I. A. (2019).
[3] Pengaruh Profitabilitas, Leverage, Total Arus Kas dan Ukuran Perusahaan terhadap Financial Distress pada Perusahaan Property dan Real Estate yang Terdapat di Bursa Efek Indonesia Tahun 2014-2017. Jesya (Jurnal Ekonomi & Ekonomi Syariah), 2(2), 340–350. https://doi.org/10.36778/jesya.v2i2.102
[4] Harlan. (2018). Analisis Regresi Linear (J. Slameto (ed.); 1st ed., Vol. 53, Issue 9). Gunadarma.
[5] Hariyati, R., Rahman, R.Y., Zainuddin, A. 2018. Analisis Kuantitatif: Konsep dan Aplikasi untuk Permasalahan penelitian Agribisnis. Jember: Unej Press.
[6] Kaylana Cruisietta, S. S. Y. Y. (2020). Pengaruh Green Marketing Dan Brand Image Terhadap Keputusan Pembelian Produk The Body Shop Indonesia (Studi Kasus Pada Followers Account Twitter @TheBodyShopIndo). Jurnal Ilmiah M-Progress, 10(1), 1–9. https://doi.org/10.35968/m-pu.v10i1.371
[7] Landak, D. P. K. (2018). Renstra Dinas Pertanian Kabupaten Landak. Angewandte Chemie International Edition, 6(11), 951–952.
[8] Limapoccoe, D., Cenrana, K., & Maros, K. (2022). Analisis Kinerja Penyuluh Terhadap Pelaksanaan Tugas Pokok Penyuluh Pertanian di Desa Limapoccoe Kecamatan Cenrana Kabupaten Maros. Jurnal Ilmiah Agribisnis, 10, 69–79. https://doi.org/10.46918/agribis.v15i1.1270
[9] Paginian, E., Kurniati, D., Hamid, A., Agribisnis, M., Pertanian, F., Pontianak, U. T., & Barat, K. (2021). Strategi Peningkatan Kinerja Penyuluh Di Kabupaten Landak. 17(2), 135–142.
[10] Sari, I. M., Rinaldi, A., & Putra, F. G. (2020). Pengaruh Sisa Hasil Usaha (SHU) pada Koperasi menggunakan Regresi Linear Berganda. MAJU: Jurnal Ilmiah Pendidikan Matematika, 7(2), 110–120. https://www.ejournal.stkipbbm.ac.id/index.php/mtk/article/view/495/443
Published
31-03-2024
Issue
Vol. 17 No. 1
Pages
55-66
License
Copyright (c) 2024 Jurnal Sosial Ekonomi Pertanian (J-SEP)
How to Cite
Lestari, Y., Kurniati, D., & Fitrianti, W. 2024. Assessment and Factors Influencing The Performance Agricultural Extension Workers in Landak District: A Multiple Linear Regression Approach. J-Sep, 17(1), pp.55-66. https://doi.org/