Potential Productivity of Quail Farming in Ngaliyan, Pulutan, Wonosari, Gunungkidul

Authors

  • Annida Purnamawati Universitas Bina Sarana Informatika
  • Wawan Nugroho Universitas Bina Sarana Informatika
  • Raffi Fa`Iq Firjatullah Universitas Bina Sarana Informatika
  • Mochamad Akbar Garudea Syahroni Universitas Bina Sarana Informatika

DOI:

https://doi.org/10.36456/jstat.vol17.no2.a9722

Keywords:

income, production factors, quail, multiple linear regression, spss

Abstract

Quails are a type of poultry with significant productivity potential that can be developed and improved through enhanced care to achieve optimal production. This study aims to analyze the factors influencing the production of laying quail farms in Ngaliyan, Pulutan, Wonosari, Gunungkidul. If low egg production becomes an obstacle for farmers, it can hinder efforts to increase productivity and meet consumer demand. The purpose of this research is to identify the various factors influencing quail egg production. The study employs a mixed-method approach, combining qualitative and quantitative techniques, with multiple linear regression analysis. The results indicate that income from quail egg production is IDR 193.011.950 per business period (15 months). Multiple linear regression analysis shows that both independent variables, feed cost (X₁) and labor cost (X₂), have a significant effect on quail egg production (Y), with a significance level of <0.001. The feed cost variable (X₁) has a dominant positive influence, while labor cost (X₂) has a negative influence. The relationship between the two independent variables and egg production is 88.1%, with 11.9% influenced by other factors outside of the study. The regression model used is strong and valid, demonstrating the significant impact of both independent variables on the dependent variable.

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Published

12/31/2024

How to Cite

Potential Productivity of Quail Farming in Ngaliyan, Pulutan, Wonosari, Gunungkidul. (2024). J Statistika: Jurnal Ilmiah Teori Dan Aplikasi Statistika, 17(2), 730-739. https://doi.org/10.36456/jstat.vol17.no2.a9722