Judul: Optimasi Persediaan Bahan Baku Kulit Mentah Industri Penyamakan Kulit Reptil Cv PQR
Abstrak: Reptil sebagai komoditi bisnis sudah cukup lama dikenal di Indonesia. Reptil diperdagan,gljan sebagai bahan baku industri kerajinan kulit, hewan peliharaan, bahan makanan, dan obat-obatan. Investasi besar-besaran di bidang usaha reptil mulai terguncang pada akhir tahun 1980-an, ketik CITES (Convention on International Trade in Endangered Species of Wild Fauna and Flora) mulai memperketat implementasi peraturan-peraturannya di Indonesia. CITES menganggap reptil yang d.iekspor dari Indonesia sangat tinggi, sehingga dapat mengancam keiestariannya. CV. PQR merupakan salah satu perusahaan yang bergerak dalam industri penyamakan dan kerajinan kulit. Hampir seluruh produknya dipasarkan ke luar negeri. Produk yang diekspor terdiri dari kulit reptil yang sudah disamak (80%), dan sisanya dalam bentuk kerajinan kulit, misalnya tas, dompet, dan ikat pinggang. Kecenderungan jatah kuota ekspor yang semakin menurun akliir-akhir ini telah membuat CV. QR sulit untuk meningkatkan omset penjualannya. Kegiatan perusahaan yang dilakukan sekarang hanya sekedar bertahan dan melanjutkan investasi yang telah dilakukan sebelumnya. Untuk dapat terns bertahan, maka perusahaan harus meningkatkan efisiensi. Geladi Kara ini bertujuan unruk membuat perencanaan persediaan bahan baku kulit mentah yang paling optimal. Dengan demikian perusahaan dapat mengetahui dengan kulit mentah yang harus dibeli serta kapan waktu pembeliannya., Metoda yang digunakan dalam penghitungan optimalisasi ini adalah metoda EOQ Economic Order Quantity). Hasil pehgkajian menunjukkan bahwa biaya persediaan yang timbul dari proses penyediaan fiahan baku kulit mentah terdiri dari biaya pemesanan dan biaya penyimpanan. Biaya telepon, biaya surat menyurat, dan biaya angkut merupakan komponen biaya pemesanan yang besamya Rp. 71 500 sekali pesan. Sedangkan komponen biaya penyimpanannya terdiri dari biaya modal (14%/tahun) dan biaya kerusakan (1 %/tahun) dari harga setiap jenis kulit yang dibeli. Penghitungan yang telah dilakukan menunjukkan bahwa manajemen persediaan bahan baku kulit mentah CV. PQR masih belum optimal. Optimasi dengan menggunakan metoda EOQ menunjukkan penghematan hingga 59.58% atau Rp. 12 062 7 0 untuk memenuhi kuota tahun 1996. Jika perusahaan mengadakan persediaan bahan baku kulit sesuai rencana akan membutuhkan biaya persediaan Rp. 20 287 000 atau 2.67% pembelian bahan baku, sedangkan dengan optimasi hanya membutuhkan Rp. 7 924 250 atau 1.04% pembelian bahan baku. Jumlah tersebut sangat berarti bagi perusahaan berskala industri kecil seperti CV. PQR. Frekuensi pembelian kulit sebanyak tiga kali · dalam setahun untuk masing-masing jenis kulit masih hams dipercepat, atau dengan kata lain volume pembeliannya sedikit demi sedikit, terutama untukJenis kulit yang mahal seperti ular sawah, ular padi, dan biawak.
Keyword: Reptil, Ekspor, Kulit Reptil

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: Hamiltonian formulation for linear waves motion in two layers fluid
Abstrak: The surface wave could be considered as a wave that separates two fluids, namely water and air. Based on this assumption, it is introduced the interfacial wave, a wave between two layers of fluid with different density. The formulation of interfacial waves motion begins with deriving the base equation of irrotational ideal fluid. Furthermore, according to irrotational fluid assumption, the base equation can be stated in velocity potential. In this derivation, the fluids domain is assumed to be restricted by rigid lid boundary conditions, both at the upper and lower limit. Therefore, the interfacial waves motion can be explained in a hamiltonian formulation. In the hamiltonian formulation, total energy is defined as the sum of kinetic and potential energy. The hamiltonian system is obtained from reduction of kinetic energy by using the Dirichlet Neumann Operator. The resulted kinetic energy equation is nonlinear. Therefore, this form is linearized by first part of the Taylor expansion. This linearization gives a dispersion relation of linear wave. Based on this dispersion relation, the phase speed of the linear wave depends on the density ratio of the two layers fluid.
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