Jamaran, Irawadi, Indonesia

  • Forum Pasca Sarjana Vol. 34 No. 3 (2011): Forum Pascasarjana - Articles

    Financial and non-financial factors are important indicators to evaluate performance of corporation.  The main objective of this study is to build a model for improving performance of estate and plant by using balance scorecard.  The study uses balance scorecard, and fuzzy analytical hierarchy process to model the criteria of performance measurement for both estate and plant.  Results generated from the model of estate performance criteria measurements are seed, fertilizing, cost management, harvest, plant maintenance, production, and employee development.  Results generated from the model of plant performance criteria measurements are production rate, cost management, losses, plant utilization, CPO quality, employee development, and environmental friendly production process.  Estate and plant scoring board model are used to measure the performance of estate and plant based on set targets.  Results generated from estate scoring board model are low performance in cost management, production, and employed development.  Results generated from plant scoring board model are low performance in cost management, losses, and environmental friendly production process.  Performance improvement model for estate and plant are conducted by using expert management.  The result generated from this study is a software of decision support system by using expert management, and it is called In-KK v1.00.


    Keywords: oil palm agroindustry, key performance indicator, scoring board

    Abstract  PDF
  • Forum Pasca Sarjana Vol. 34 No. 2 (2011): Forum Pascasarjana - Articles

    Knowledge-based economics can[1] be achieved by using the role of knowledge to commercialize university research result in the agroindustry activities.  Collaboration as a model to realize transfer of technology between university and agroindustry is institutional proven model.  The use of science and technology in the new era of knowledge-based economy is expected to contribute in improvement of nation competitiveness.  Decision making in the complex, dynamic and probabilistic problem as founded in the collaboration model needs analytical tools such as analytical hierarchy process (AHP), fuzzy inference system (FIS) and artificial neural network (ANN) as well as the combination of both techniques which is one of the best method for designing Model of University and Small, Medium Agroindustry collaboration in transferring technology as a reliable model in the future.  Takagi-Sugeno-Kang Inference System is used to have input-output mapping using fuzzy logic, and artificial neural network with back propagation mechanism is used to get optimal membership parameters.  Knowledge acquisition of the experts are needed together with ANFIS (adaptive network fuzzy inference system).  After having simulation using Matlab program by combining ANFIS for Fuzzy membership function and certainty factor for non fuzzy membership function, recommendation is made on networking as collaboration pattern on transferring of innovation technology is the best choice, and fishery agroindustry using incubator technology as institution model is the best evidence of certainty factor achieved.


    Key words: collaboration model, technology transfer, AHP, neuro-fuzzy and takagi sugeno inference

    6) Fakultas Matematika dan IPA, Universitas Indonesia

    Abstract  PDF