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This study aims to analyze the effect of Supply Chain and Travel Time and Cost on the Distribution Channels of Subsidized Fertilizers in Tigalingga District. This research employed a quantitative method with an associative approach. The population consisted of farmers receiving subsidized fertilizers in Tigalingga District, while the sample comprised 100 respondents selected using a purposive sampling technique. Data were collected through questionnaires using a Likert scale. The data analysis included validity testing, reliability testing, classical assumption testing, multiple linear regression analysis, partial hypothesis testing (t-test), simultaneous hypothesis testing (F-test), and coefficient of determination (R²) analysis using IBM SPSS Statistics Version 26. The results showed that the Supply Chain variable had a positive and significant effect on Distribution Channels, with a t-value of 2.141 and a significance value of 0.035 < 0.05. The Travel Time and Cost variable also had a positive and significant effect on Distribution Channels, with a t-value of 4.733 and a significance value of 0.000 < 0.05. Simultaneously, the Supply Chain and Travel Time and Cost variables had a positive and significant effect on Distribution Channels, with an F-value of 13.029, which was greater than the F-table value of 3.09, and a significance value of 0.000 < 0.05. The coefficient of determination (R Square) was 0.212, indicating that 21.2% of the variation in Distribution Channels could be explained by the Supply Chain and Travel Time and Cost variables, while the remaining 78.8% was influenced by other factors outside the scope of this study. Furthermore, the Adjusted R Square value of 0.195 indicates that, after adjustment for the number of samples and independent variables, the model explains 19.5% of the variation in Distribution Channels.
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Siregar et al. (2026) studied this question.
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