Analisis Faktor-Faktor yang mempengaruhi hasil Produksi Padi di Desa Jangan- Jangan Kecamatan Pujananting Kabupaten Barru

This study aims to analyze the factors affecting rice production in Jangan-Jangan Village, Pujananting District, Barru Regency. The factors examined include land area, labor usage, and pesticide application. Data were collected from 20 farmer respondents through surveys and analyzed using multiple linear regression. The results show that land area and pesticide use have a positive and significant effect on rice production, while labor does not have a significant effect. The coefficient of determination (Adjusted R Square) of 0.679 indicates that 67.9% of the variation in rice production can be explained by the three variables, while the remaining 32.1% is influenced by other factors outside the model. Keywords: rice production, land area, labor, pesticides

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Publication Details

Journal
EKOMBIS JURNAL FAKULTAS EKONOMI
Published
2025-05-26
DOI
https://doi.org/10.35308/ekombis.v11i1.12214
Primary Topic
Management and Optimization Techniques
Type
article
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article

Analisis Faktor-Faktor yang mempengaruhi hasil Produksi Padi di Desa Jangan- Jangan Kecamatan Pujananting Kabupaten Barru

Lisa Lisa, Akhmad Akhmad, Asriati Asriati
EKOMBIS JURNAL FAKULTAS EKONOMI
Management and Optimization Techniques
article

Analisis Faktor-Faktor yang mempengaruhi hasil Produksi Padi di Desa Jangan- Jangan Kecamatan Pujananting Kabupaten Barru

Lisa Lisa, Akhmad Akhmad, Asriati Asriati
article en

Abstract

This study aims to analyze the factors affecting rice production in Jangan-Jangan Village, Pujananting District, Barru Regency. The factors examined include land area, labor usage, and pesticide application. Data were collected from 20 farmer respondents through surveys and analyzed using multiple linear regression. The results show that land area and pesticide use have a positive and significant effect on rice production, while labor does not have a significant effect. The coefficient of determination (Adjusted R Square) of 0.679 indicates that 67.9% of the variation in rice production can be explained by the three variables, while the remaining 32.1% is influenced by other factors outside the model. Keywords: rice production, land area, labor, pesticides

EKOMBIS JURNAL FAKULTAS EKONOMIVol. 11(1)
Muhammadiyah University of Makassar (ID)
Openalex Percentile: Top 59%
Management and Optimization Techniques
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