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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 founde Widadi W. Widayat; Irawadi Jamaran; Bunasor Sanim; Marimin .; Amril Aman; Djati Kerami
Forum Pasca Sarjana Vol. 34 No. 2 (2011): Forum Pascasarjana
Publisher : Forum Pasca Sarjana

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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

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, har Aida Farida; Irawadi Jamaran; A. Aziz Darwis; Khaswar Syamsu; Yandra Arkeman
Forum Pasca Sarjana Vol. 34 No. 3 (2011): Forum Pascasarjana
Publisher : Forum Pasca Sarjana

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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

PERANCANGAN MODEL PENERIMAAN DAN EVALUASI PESANAN PADA INDUSTRI KEMASAN KARTON YANG BERBASISKAN MAKE TO ORDER Nora Azmi; Irawadi Jamaran; Yandra Arkeman; Djumali Mangunwidjaja
JURNAL TEKNIK INDUSTRI Vol. 2 No. 1 (2012): Volume 2 No 1 Maret 2012
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Nowadays, carton boxes are very popularly used, mostly in food industries, pharmacy and other consumer products. Most carton box industries work base on customer order (Make-to-order company), because most of carton box order are prepared for particular customer. Carton box are not only used for containing and protecting the product, but also functioned to inform the product to the customers. Make-to-order company has a high level of uncertainty such as the type and design of the product, the step of production, production time, cost, equipments and machine. This could create further problems; the overdue of order and completing process, and the acceptability of the product. This research is intended to design an order processing model for the carton box industry to accelerate order receipt process and evaluate the feasibility of the order. This paper focused on two models, those are the order entry model and order evaluation model. In order entry model, product code is given, and calculation model for needed raw material is made by using mathematical formulation. In order evaluation model, expert system and decision tree are used for analyzing the process capability and selecting machinery as well as designing the steps of production.

PENJADWALAN PESANAN MENGGUNAKAN ALGORITMA GENETIKA UNTUK TIPE PRODUKSI HYBRID AND FLEXIBLE FLOWSHOP PADA INDUSTRI KEMASAN KARTON Nora Azmi; Irawadi Jamaran; Yandra Arkeman; Djumali Mangunwidjaja
JURNAL TEKNIK INDUSTRI Vol. 2 No. 2 (2012): Volume 2 No 2 Juli 2012
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

This research was intended to produce an order (job) scheduling model at Carton Packaging Industries (CPI) that is useful for giving information about the time delivery to customers. The proposed model is quite complicated because of the characteristic of Make to Order (MTO) varies production process greatly between each order. The job’s schedule for CPI is prepared for production process that consists of 5 stages where in each stage uses different type of machinery. Not all jobs can be processed by all machines at a given production stage. Every job flow through 5 stage in the same order, but not all stages have to visited by all jobs. Stages may be skipped for a particular job. This condition makes CPI is classified as Hybrid and flexible flowshop for machine eligibility (HFFME). HFFME is complicated and is difficult to calculate by using conventional heuristic model. This research used genetic algorithm for solving the complex problem of HFFME and the resulting model called the Genetic Algorithm for hybrid and flexible flowshop with machine eligibility (GA-HFFME). This model is developed to minimized makespan, the objective of scheduling. The experiment was conducted towards 11 orders and it was found that the GA-HFFME is effective to solve that problem.

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