ANALISIS FAKTOR YANG MEMPENGARUHI
PENDAPATAN USAHA TERNAK AYAM POTONG
DI KECAMATAN RAMBAH HILIR
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Institusion
Universitas Pasir Pengaraian
Author
EKA PUTRA, APRI
Subject
657 Accounting/Akuntansi
Datestamp
2022-01-24 02:55:21
Abstract :
This study aims to determine the amount of chicken breeders' income and the factors that affect the income of broiler breeders in the downstream rambah sub-district. The research was conducted in the Rambah Hilir sub-district starting from March 2020. The method used in the study was Taipei and direct interviews with four broiler breeders and purposive sampling was taken of the location. the data collected is tabulated and then analyzed to determine income. Data analysis was performed using multiple regression analysis using SPSS and followed by t test and f test. The results of the t test in the study showed that the price was 0.668> 0.05 with a beta value of 1.759, so it could be said that the price had no effect on the farmer's income. The number of seedlings is 0.768> 0.05 with a beta value of - 1,200, it can be said that the number of seeds does not have a significant effect on farmer income. The amount of feed is 0.454> 0.05 with a beta value of 0.313, so the amount of feed does not have a significant effect on farmer income. From the results of the f-test calculation, it is obtained that the Fcount value is 498,000 and Ftable is 6.59, this means that Fcount is greater than Ftable with a significant level of 0,000 <0.05. So it can be concluded that the price, the number of seeds, and the amount of feed together have an effect on farmers' income.
This study aims to determine the amount of chicken breeders' income and the factors that affect the income of broiler breeders in the downstream rambah sub-district. The research was conducted in the Rambah Hilir sub-district starting from March 2020. The method used in the study was Taipei and direct interviews with four broiler breeders and purposive sampling was taken of the location. the data collected is tabulated and then analyzed to determine income. Data analysis was performed using multiple regression analysis using SPSS and followed by t test and f test. The results of the t test in the study showed that the price was 0.668> 0.05 with a beta value of 1.759, so it could be said that the price had no effect on the farmer's income. The number of seedlings is 0.768> 0.05 with a beta value of - 1,200, it can be said that the number of seeds does not have a significant effect on farmer income. The amount of feed is 0.454> 0.05 with a beta value of 0.313, so the amount of feed does not have a significant effect on farmer income. From the results of the f-test calculation, it is obtained that the Fcount value is 498,000 and Ftable is 6.59, this means that Fcount is greater than Ftable with a significant level of 0,000 <0.05. So it can be concluded that the price, the number of seeds, and the amount of feed together have an effect on farmers' income.
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