ANALISIS PROFITABILITAS SEBELUM DAN SAAT PERUBAHAN IKLIM PADA USAHATANI BAWANG MERAH DI KECAMATAN WANASARI, KABUPATEN BREBES

Abstract

Wanasari sub district is one of the highest shallot producers in Brebes regency. The climate change makes the number of shallot production decreased, while the cost for production increased. It is unlike the situation before the climate change happened. This research is aimed to identify the ecological change as the effects of climate change towards the production of shallot in Brebes regency. In addition, it also analyzes the profit before and after the climate change happened. The income analysis, R/C Ratio, and T test are used as method of analysis in this research. The data which used are primary and secondary data. 97 respondents of shallot producers are chosen as sample of the research by using quota sampling. The interview also used to get further information from the key persons in academic environment, government, and residents. The results of the research conducted in Wanasari sub district of Brebes regency show that in last five years (2011 until 2015), the temperature is increased approximately 27.76 degree Celsius. If it is compared to the situation before the climate change, it is quite different. The temperature in 2006 until 2010 is only 27.48 degree Celsius. Furthermore, the rainfall is inconsistent during the climate change. The rainfall in January is only 107.3 mm, on the other hand the rainfall in February is totally increased which is 450.2 mm. The sun intensity also changes. Before the climate change, it is only 60% - 70%, while after the climate change, it is increased between 82% - 89%. In addition, the profit estimation before the climate change is around 3.977.518.700 IDR while after the climate change, it becomes 2.067.614.450 IDR. The gap of profit before and after the climate change is 1.909.904.250 IDR. Last, R/C Ratio before the climate change is 3,44 while after the climate change it turns to be 2,01. Based on T test, the difference of income has the amount 0,000 (0,000 < 0,05) of probability. It means that there is a significant difference with average number 15360309,278. Also, the T test on fix cost has the amount 0,000 (0,000 < 0,04) of probability. The significant difference happened with average number -544664,948. Last, the T test on variable cost has the amount 0,000 (0,000 < 0,05 ) which means that it has significant difference with the gap around -3784760,309.