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DESAIN SISTEM KOMPENSASI GAJI POKOK BERBASIS PERSON VALUE PADA PERUSAHAAN AGROINDUSTRI Denni, Alex; Jamaran, Irawadi; Hermawan, Aji; Arkeman, Yandra
Jurnal Manajemen dan Organisasi Vol. 1 No. 1 (2010): Jurnal Manajemen dan Organisasi
Publisher : IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (724.292 KB) | DOI: 10.29244/jmo.v1i1.14140

Abstract

The oobjective of this research is to design Base Pay Compensation System that based on Person Value in order to increase internal equity within a company. Person Value determined by short of competencies possessed by a job holder that relevant to the job competency model. Through this research, each and every managerial jobs under general manager completed by a competency model defined by a panel of expert. The expert panel also determines relative value of each competency based on its importance role in supporting the company achieving the goals. Person Value of job holders was calculated based on their available competency indicated through a multi-rater approach. Finally base pay of every job holders was calculated by redistributing current company budget proportionally based on their person value. The result of this research validated through a face validity method conducted by senior management team as key stake holders of the company.
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, Farida, Aida; Jamaran, Irawadi; Darwis, A. Aziz; Syamsu, Khaswar; Arkeman, Yandra
Forum Pasca Sarjana Vol. 34 No. 3 (2011): Forum Pascasarjana
Publisher : Forum Pasca Sarjana

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Abstract

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
STUDI AWAL PENGEMBANGAN JARINGAN INKUBATOR TEKNOLOGI & BISNIS PADA INSTITUSI PENDIDIKAN TINGGI DI INDONESIA Widayat, W W; Jamaran, Irawadi
Jurnal Matematika Sains dan Teknologi Vol 10 No 1 (2009)
Publisher : LPPM Universitas Terbuka

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Abstract

Partnership development and technology business incubator on the basis of mutual interests will require more real if developed until the stage of commercialization of technological innovation in the markerplace. The partnership is based on sharing information, experiences and resources between hinger education institutions, research institutions and the community. It is expected that such partership will preduce new business organization that comes from new ideas and new entrepreneurs. In this paper the initial design model is given as networks center college of growth in the form of partnership networks of higher education institutions and research institutions that support the development needs of the community business organizations through technology and business incubators.
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 FOU Widayat, Widadi W.; Jamaran, Irawadi; Sanim, Bunasor; ., Marimin; Aman, Amril; Kerami, Djati
Forum Pasca Sarjana Vol. 34 No. 2 (2011): Forum Pascasarjana
Publisher : Forum Pasca Sarjana

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Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jti.v2i1.7011

Abstract

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 Azmi, Nora; Jamaran, Irawadi; Arkeman, Yandra; Mangunwidjaja, Djumali
JURNAL TEKNIK INDUSTRI Vol 2, No 2 (2012): Volume 2 No 2 Juli 2012
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jti.v2i2.7028

Abstract

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.