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Eka Nurmalasari
Institut Pertanian Bogor
Chemical Engineering, Chemistry & Bioengineering Energy Engineering Environmental Science

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PENENTUAN KUOTA EKSPORTIR JENIS KULIT SANCA BATIK (Python reticulatus Scheider 1801) DI INDONESIA Eka Nurmalasari; Yanto Santosa; Nandang Prihadi
Journal of Environmental Engineering and Waste Management Vol 1, No 2 (2016)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (309.871 KB) | DOI: 10.33021/jenv.v1i2.121

Abstract

Trade of reptiles in regional and international have been increased every year. The trade of reptileswas three divided, that is pet reptile, consumption reptile and reptile skin. The trade of skin reptile was greater than pests, because the skin of reticulated python is the most popular and to be excellent among exporters. Quotas export is all of number of quota exporter should be traded by exporter to international. This study aimed to identify of key variables exporter and formulation of calculation quota exporters of reticulated python. The methods used in this research were examination of administrative documents exporters and direct observation to the enclosure to 44 exporter skin of phyton reticulated. The key variables have corelate with the calculation of quota exporter are export realization ofthe previous year (X1), labor (X2), crusted product (X4), investment value (X5), yield (X6), PNBP (X7), state of export (X8), time of realization (X9), conservation activities (X10), chemicals (X11), and electricity (X12). Based on the analysis of linier regression formula obtained quota determination exporter: Y = 2.001 + 0.002 X3 + 0.072 X4 + 0.080 X5 + 0.030 X6  – 0.384 X9  + 0.059 X10. The result of regression equation of adjusted R square is 0.916. It means that the quation of regression linear is 91.6% for calculation of quotas as it could be explained by finished product, products crusted, yield, investment, time of realization and conservation activities, while 8.4% is explained by variables that are not included in of this research. Variables were positively related to the calculation of export quotas include finished product (X3), product crusted (X4), investments (X5), yield (X6), and conservation activities (X10), while the variables that have a negative relationship is time of realization ( X9).
Co-Authors Nandang Prihadi YANTO SANTOSA