Judul: Intelligent decision support system for industrial planning of palmtrunk processing into palm powder in oil drilling process
Abstrak: Utilization of oil palm has been limited to the fruit to produce oil and all its derivatives, as well as a certain level of utilization of fiber fruits, stems and bark to produce fiber. Trunk of a rejuvenation of old plants that have the largest mass is still untapped commercially. The establishment of an industry decision-making can use the decision support system (DSS), which will help determine the best decision. DSS is a specific concept of a computerized system that links between decision makers and user, which in detail describes the elements of the system. The system was made must be described clearly one factor that may become obstacles and alternative solutions. Genetic algorithms are techniques of global optimization search that work according to the principle of evolution and the genetics of the biological mechanisms, such as crossings, mutations, and others. Genetic algorithms are widely used for solving complex optimization problems that can not be solved with conventional optimization techniques. Critical factors in palmpowder industries were the availability of raw materials or the mass of palm trunk, the balance of energy produced versus the energy required, the determination of industrial location, and scheduling the cutting plant and investment feasibility. The developed industrial planning decision support system, more efficient in program code usage and easy to develop.
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Judul: Rancang bangun sistem pendukung keputusan pengembangan agroindustri crude palm oil berbasis spasial
Abstrak: Industrial development should consider the location of spatial entities and their interactions. As with other Agro-Industries, the spatial interaction from oil palm plantations to palm oil mills is a complex problem. The complexity is caused by spread of the location of palm plantations and mills, current and potential transportation network, capacity constraint of each oil factory, perishable characteristics of the product, limited of port and port capacity and supply fluctuation from plantations to the factories due to the plant age as well. This research will give solution which has not yet discussed in the earlier publications by providing an alignment of strategic decision with operational decisions using GIS technology and spatial analysis that can represent the system associated with the space effectively. Decision support model was designed to integrate GIS, spatial multicriteria decision model, shortest path algorithm, transportation model, and financial model as well to determine the optimal configuration of spatial entities in CPO industry. IKG2012 model which has built have the capability to accomodate supply fluctuation from plants to factories due to their productivity and the quality requirement related to distribution time from plants to the factories. Loading and unloading capacity, Port’s tank capacity and barge type are considered as constraints in this system. The results of this study will be useful in developing the logistics infrastructure network for this commodity as well.. The selection of development strategy in CPO agroindustry and improvement of transportation infrastructures will improve the performance of National CPO industry significantly.
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Judul: Kepekaan kelinci (Oryetolagus cuniculus) terhadap infeksi Eimeria stiedae histopatologi dan gambaran darahnya
Abstrak: Penelitian ini dilakukan selama 4 bulan sejak 3 Maret 1989 sampai 14 Mei 1989 Penelitian Veteriner Bogor.
Keyword: Eimeria stiedae, kelinci, Oryetolagus cuniculus