Analisis faktor-faktor yang mempengaruhi produksi kopi Arabika di Desa Kuta Rayat, Kabupaten Karo

This research aimed to analyze and determine how much effect the factors of capital, land area, labor and fertilizer used have on Arabica coffee production in Kuta Rayat Village, Naman Teran District, Karo Regency. This research was conducted by interviewing and filling out questionnaires with 35 samples of Arabica coffee farmers. The method used in this research was quantitative methods and multiple linear regression analysis. Based on the results of the linear regression test in this study, it showed that the Capital variable (X1), the Land Area variable (X2), the Fertilizer variable (X4) have a positive and real effect on increasing Arabica coffee production, while the Labor variable (X3) has a significant effect. negative impact on Arabica coffee production. Based on the results of the T – test, the sequence of variables that is most significant in increasing Arabica coffee production is the Fertilizer variable (X4), the Land Area variable (X2), the Capital variable (X1), and the Labor variable (X3).

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Publication Details

Journal
Jurnal Ilmiah Pertanian ( JIPERTA)
Published
2025-03-26
DOI
https://doi.org/10.31289/jiperta.v7i1.5571
Primary Topic
Economic Growth and Fiscal Policies
Type
article
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article

Analisis faktor-faktor yang mempengaruhi produksi kopi Arabika di Desa Kuta Rayat, Kabupaten Karo

Fadhil Muhammad, Siswa Panjang Hernosa
Jurnal Ilmiah Pertanian ( JIPERTA)
Economic Growth and Fiscal Policies
article

Analisis faktor-faktor yang mempengaruhi produksi kopi Arabika di Desa Kuta Rayat, Kabupaten Karo

Fadhil Muhammad, Siswa Panjang Hernosa
article en

Abstract

This research aimed to analyze and determine how much effect the factors of capital, land area, labor and fertilizer used have on Arabica coffee production in Kuta Rayat Village, Naman Teran District, Karo Regency. This research was conducted by interviewing and filling out questionnaires with 35 samples of Arabica coffee farmers. The method used in this research was quantitative methods and multiple linear regression analysis. Based on the results of the linear regression test in this study, it showed that the Capital variable (X1), the Land Area variable (X2), the Fertilizer variable (X4) have a positive and real effect on increasing Arabica coffee production, while the Labor variable (X3) has a significant effect. negative impact on Arabica coffee production. Based on the results of the T – test, the sequence of variables that is most significant in increasing Arabica coffee production is the Fertilizer variable (X4), the Land Area variable (X2), the Capital variable (X1), and the Labor variable (X3).

Jurnal Ilmiah Pertanian ( JIPERTA)Vol. 7(1)
Medan Area University (ID)
Openalex Percentile: Top 64%
Economic Growth and Fiscal Policies
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