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: Sistem Penunjang Keputusan untuk Optimalisasi Pemanfaatan Limbah Pabrik Kelapa Sawit
Abstrak: Indonesian palm oil industry continues to experience a significant growth from year to year. The quantity of palm oil mill waste will be increased along with the development of the palm oil industry. Currently, various methods of processing and utilization of palm oil mill waste have been developed. Palm oil mill wastes have very large potential utilization so it can be financially profitable. However, in reality, most of the oil palm industry in Indonesia was not too interested with the methods of processing and utilization that have been developed because the implementation costs are relatively very expensive compared with conventional methods that they employ. On the other hand, quite many methods of waste processing and utilization of oil mills available today make the palm oil industry side needs to consider various factors in choosing the method will be applied to a selected method that can be applied appropriately and optimally. The purpose of this research is to develop a model system to help the oil palm industry side in the process of choosing a method of processing and utilization of palm oil mill waste. In addition, also presented information about the values of the utilization of palm oil mill waste so that expected value of applying a method of palm oil mill waste treatment is not only seen from the cost of implementation but also can be seen from the value of benefits to be obtained later. This research focused on optimizing utilization of palm oil mill effluent (POME) and empty fruit bunch (EFB). Several factors are considered in the selection process of treatment and the utilization method of palm oil mill waste. They are cost of processing and utilization of palm oil mill waste, the capacity of waste, capacity of processed waste products that can be utilized by the oil mills, and the value of benefits that can be obtained from that utilization. In addition, the level of achievement for purposes of processing and optimizing the utilization of palm oil mill waste should be considered too, they are implementing the handing method of palm oil mill waste with minimum cost, could minimize environmental pollution level, and could maximize profit that was obtained from waste utilization. The developed model is a decision support system model for optimization of waste utilization of palm oil mill waste. This model was implemented in computerized model system that is named PW Optima 1.0. PW Optima 1.0 program package has a model base management system, which consists of the analysis of the cost of handling waste model and optimization of waste utilization model. Analysis of the cost of handling waste model using a heuristic method to determine the value of fixed costs, non-fixed costs, operating costs and cost of goods from the application of processing and utilization methods of palm oil mill waste. Optimization of waste utilization model serve to produce recommendations in the form of waste processing and utilization methods that will applied. Objective function and constraint functions were formulated by using goal programming (GP) method combined with analytical hierarchy process (AHP) method. Then, the optimal
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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