| dc.description.abstract | Green revolution has made the farmers who have less than 0.5 hectare of land
hardly getting out of poverty. Increased yields that forced to be produced in a shorter
time in 1998 has made the farmers’ income decreased and unstable. Therefore, Bina
Keterampilan Pedesaan (BITRA) Indonesia Foundation has tried to help farmers to
solve problems by implementing development program which is organic farming
program. This research aimed to determine whether there is positif influence of the
organic farming program towards socio-economic of Assisted Group of BITRA
Indonesia Foundation in Lubuk Bayas Village of Perbaungan Serdang Bedagai.
This research was classified as an explanatory research that aimed to test or
prove the hypothesis by Independent Two-Sample T-Test Analysis Technique. The
population in this research were 62 organic farmers (members of assisted group) and
455 inorganic farmers (not the members of assisted group). Based on the population,
the author set the purposive sampling as the sampling technique. This technique was
chosen since only 30 members of the assisted group that has produced organic rice at
the time of the research. The author also chose 30 inorganic farmers based on the
similarity rate of progress, such as land area.
The conclusion of the data analysis using Independent Two-Sample T-Test
Analysis Technique with critical value for the t distribution with 29 degrees of
freedom at confidence level of 0.05 equaled 2.045 and critical value for the t
distribution with 28 degrees of freedom at confidence level of 0.05 equaled 2.048
was tcount was greater than ttable (2,3188 > 2,045 or 2,3188 > 2,048). It meant that
Accepted Ha was there was positive influence of the organic farming program
towards socio-economic of Assisted Group of BITRA Indonesia Foundation in
Lubuk Bayas Village of Perbaungan Serdang Bedagai. Some indicators which had
significant differences and influences in the overall socio-economic calculation were:
indicators of income which was dominated by income from farming, indicators of
health such as health status, indicators of foods consumption such as the frequency
of consuming extra food such as milk and fruit, indicators of clothes consumption
such as frequency of purchasing new clothes for the wifes, and indicators of
residentials such as the status of home ownership. | en_US |
