Judul: The study of transportation network for supply chain management of chrysanthemum in west java (Case Study at PT. Saung Mirwan)
Abstrak: The increased of Chrysanthemum production must followed by a good supply chain management. The problems rise at transportation and distribution activities from producer to consumer that begin from error in choosing type of transporter, loading process careless and error in putting technique of product box into the transporter, less handling as long as transportation journey untill vehicle damage, accident, and traffic jam. As consequence, the problems make decreasing quality and quantity of product and at last, make increasing of total transportation cost. Therefore, this research minimize total transportation cost with optimization in choosing the right type and sum of vehicles for delivering product from producer to consumer location. Case study conducted in PT. Saung Mirwan as a big producer of Chrysanthemum in West Java. The research purposes to study supply chain mechanism of Chrysanthemum that is produced by company (PT. Saung Mirwan), to identify influential factors in Chrysanthemum distribution, and to choose and recommend the appropriate type and sum of transporter with demand and vehicle capacity that is owned and minimization of the cost of delivering. Designing model followed transportation model and getting solution used optimation technique genetic algorithm with software Matlab R2009a and Microsoft Excel 2007 (Ms. 2008). Genetic algorithm is a strong, adaptive, and efficient optimal searching techniques based on natural system mechanism, it is change in genetic structure and nature selection.
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Judul: Penyelesaian Vehicle Routing Problem pada Pendistribusian Sayuran Dataran Tinggi Menggunakan Algoritme Genetika (Studi Kasus PT Saung Mirwan)
Abstrak: Vehicle routing problem (VRP) is an important issue on a transportation system that aims at minimizing the total vehicle mileage to reduce vehicle operating cost to a minimum. Vehicle routing problem belongs to the class of non-polynomial hard (NP-hard), which generally uses a heuristic approach to find a solution. In this time, Vehicle routing problem resolution will be applied to the distribution of highland vegetables from PT. Saung Mirwan as the vegetable distribution center. The problems that often arise in the distribution of highland plain vegetables is to how minimize the total of transportation costs without sacrificing the goal completion time to reduce the risk of the decline in the quality of vegetables during the trip. Issues will become increasingly complex if the vehicle routing problem is flexible to changes that occur in the limit or the value of decision variables. The problems encountered in this case include heterogeneous multi fleet VRP, single source, single trip, and multi-product. Therefore, this research used genetic algorithm optimization method (GA) to solve the problem. Genetic algorithm is one of the heuristic methods, which is analogous to the process of evolution by natural selection phase, crossover and mutation. In this paper a simulation is performed by searching the optimum solution to the location of the distribution as the destination points. Optimum solutions are obtained in the form of division of highland vegetable distribution channels that meet the existing constraints. As a solution, there was reduction of the distribution time of about 1 hour 58 minutes or an increase in time efficiency by approximately 32.22% and a reduction of the fleet utilization by 1 fleet or an increase of fleet efficiency by 14.28%.
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Judul: Kimiawi imunoglobulin G serta perbedaabbya antara berbagi species hewan
Abstrak: Antibodi adalah molekul protein yang dihasilkan oleh sel plasma sebagai akibat interaksi antara limfosit B peka antigen dengan antigen khusus. Antibodi ini disebut juga imunoglobulin karena molekulnya berbentuk globulin. Jadi imunoglobulin merupakan molekul protein yang membawa akti- vitas antibodi, yaitu sifat kombinasi spesifik dengan zat yang mendatangkan formasi antigen. Diantara kelas imunoglobulin, Ig G adalah yang paling melimpah dalam serum darah. Ig G ini memainkan peran utama dalam mekanisme pertahanan. Ig G merupakan struktur glikoprotein dengan dasar bentuk bangunan diagram tetrapolipeptida yang mengandung 4 ran tai polipeptida dengan 2 rantai berat (H) yang identik dan 2 rantai ringan L) yang identik. Rantai polipeptida ini di bentuk oleh rangkaian asam amino. Tiap rantai berat (H) me ngandung 446 residu asam amino dengam BM (2 x 50.000) Dal ton dan tiap rantai ringan (L) mengandung residu asam amino 213() atau 214 () dengan BM (2 x 25.000) Dalton. Bagian variabel dari rantai berat (VH) mengandung 118 residu asam amino dan bagian variabel rantai ringan (VL) mengandung 108 () atau 109 () residu, sedangkan residu sisanya dari masing-masing rantai adalah bagian konstan (CH dan CL). Adanya perbedaan-perbedaan dalam hal asam amino pada salah satu daerah variabel dapat menyebabkan perbedaan imun respon. ...
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