Judul: Determination Of Calculation Quota Exporters Of Skin Reticulated Python (Python Reticulatus Scheider 1801) Environmental In Indonesia.
Abstrak: Trade of reptiles in regional and international have been increased every year. The trade of reptiles was divided into three namely pet reptile, consumption reptile and reptile skin. The trade of skin reptile greater than pest, 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. Data were collected from 44 exporter skin of phyton from June to November 2015. 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. Processing and data analysis includes the identification of variables of exporter performance. Variables performance of exporter were export realization ofthe previous year (X1), labor (X2), finished product (X3), 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). Data was analyzed using pearson correlation, multikolinearitas and regression on SPSS version 23. Results showed that key variables that have a correlation to the calculation of quotas exporter and has no multikolenieritas between independent variables are finished product (X3) , the product crusted ( X4 ) , the investment value ( X5 ) , yield ( X6 ) , PNBP (X7) , time realization ( X9 ) , conservation activities (X10) and chemicals ( X11 ) . 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).
Keyword: quota export, skin of reticulated python, trade

Judul: Upaya Pelestarian Pemanfaatan Ular Sanca Batik (Python reticulatus) dan Ular Sanca Darah Merah (Python brongersmai) Ditinjau dari Aspek Penangkapan dan Pemasarannya di Provinsi Sumatera Utara
Abstrak: Trade in reptiles involves millions of specimens annually, and provides sustenance and income for large numbers of people, particularly in rural communities. It thus benefits many people. Reptiles species of reticulated python (Python reticulatus) and red blood python/short tail python (Python brongersmai) most important in Indonesia trade. The two project spesies are harvested in large numbers in North Sumatra. The trader system, the collecting or harvesting methods, the shared income, the revenue shared, the margin profitable and the input-output ratio analysis from trade activities are outlined in this paper. However, habitat loss and excessive harvesting reduce the numbers that can be harvested annually, reduce the benefits to people, and in extreme cases, may increase the probability of extinction. Successful trade in snakes especially reticulated python (Python reticulatus) and red blood python (Python brongersmai) to developed income is closely to the concept of sustainability. The impacted of commercial harvested activities of that species was unsustainable.
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Judul: Kampung Halaman dalam Perspektif Sosiobudaya
Abstrak: Kampung halaman adalah daerah asal atau daerah tempat kelahiran seseorang. Manusia terikat dengan kampung halamannya secara fisik dan sosiobudaya. Keterkaitan manusia dengan kampung halaman ini mengakibatkan manusia tidak mau berpisah dengan kampung halamannya sampai akhir hayat.
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