Analisis Ekonomi Alih Fungsi Lahan Pertanian Padi Sawah di Kabupaten Simalungun (Kasus Desa Pamatang Simalungun, Rambung Merah, Karang Bangun dan Siantar Estate Kecamatan Siantar Kabupaten Simalungun)

Abstract

The conversion of wet-rice agricultural land is one of the phenomena of changing wet-rice agricultural land into other food crops and horticultural crops. The purpose of this research is to assess the economic value of land between before and after land conversion, and analyze the impact of agricultural land conversion on farmers' income, and find out what factors affect land conversion. This research uses a case study method, which to answer the research objectives using multiple linear regression analysis, land rent value, farmer income, Rsquare test, F-test, and T-test using the EViews 12 software application. The results showed that the average economic value of land (land rent) of respondents' agricultural land was IDR 24,771,425,-/year. Based on the classification of agricultural land, the average land rent of respondents of wetrice crops was Rp5,920/m²/year, and for the average land rent of respondents of other food crops and horticulture was Rp7,287/m²/year. For the average farm income of respondents amounted to Rp38,743,925/year, and based on the classification of agricultural land obtained the average results of paddy rice land Rp7,370/m²/year, and other food crops and horticulture amounted to Rp24,231/m²/year. Based on the results of the regression analysis, the R-square value of 0.897970 was obtained, which means that the independent variables explain the variable function change of wet-rice farmland in Simalungun Regency by 89.79%, while the remaining 10.21% is influenced by other variables outside the study. The results of the F test (simultaneous) showed that all independent variables had a significant effect on the dependent variable with a probability value (F-statistic) of 0.000000 <0.05, and partially the factors that had a significant effect on land conversion were land area before conversion and revenue after conversion of farmers, while other variables namely age of farmers, the last education of farmers, revenue before conversion, operational costs before conversion and operational costs after conversion had no real effect (the influence of the variable was very small).