ANALISIS DAMPAK TEKNOOGI BUDIDAYA JAGUNG TERHADAP TINGKAT PENDAPATAN DAN DISTRIBUSI PENDAPATAN PETANI JAGUNG PADA KAWASAN USAHA AGRIBISNIS TERPADU (KUAT) DI RASAU JAYA KOMPLEK

• Published in: Jurnal Social Economic of Agriculture Vol. 3; no. 2
• Main Author: Adi Suyatno, Nur Fajar Febtysiana, Erlinda Yurisinthae
• Format: Journal Article
• Language: English
• Published: Jurusan Sosial Ekonomi Pertanian Universitas Tanjungpura 13.02.2015
• ISSN: 2252-3820; 2579-3268
• DOI: 10.26418/j.sea.v3i2.9058

The purpose of the study is (1) To determine the impact of maize cultivation technology to the level of income of corn farmers who use technology ( adopter ) and that do not use ( non- adopters ). (2) To determine the impact of maize cultivation technology on income distribution of farmers who are using technology ( adopter ) and which does not use the ( non- adopters ). Sampling is done by simple random sampling method in each category maisng adopter and non- adopter . The analytical tools used in this research is the analysis of different test t Calculate Income and Income Distribution Analysis by the Gini coefficient based on ( Gini Ratio ) , and Lorenz curve. The results showed that the overall average cash income of farmers are using the technology of cultivation ( adopter ) is greater than the average cash income of farmers who do not use the technology of cultivation ( non- adopters ) . From the statistical result obtained t value less than or equal to t table ( t ≤ t hits the table ) at the db = n1 + n2 – 2. This suggests that the income level of farmers are using the technology of cultivation ( adopter ) did not differ from the level of income of farmers who do not use the technology of cultivation ( non- adopters ) . Criteria based on the Gini coefficient ( Gini Ratio ) , the Lorenz curve and indicates if the distribution of the income of farmers who do not use corn cultivation technology ( non- adopters ) is more evenly distributed than the income of farmers who do not use the technology of cultivation ( non- adopters ) . This suggests that the impact on the use of technology in higher levels of inequality . Keywords : Technology Impact , Income , Income Distribution , Region Agribusiness  integrated