Application of Analytical Network Process and Conditional Probability Co-occurrences Matrix for Business Modelling of Small-Medium Enterprises

Mirwan Ushada(1*), Henry Yuliando(2)

(1) Department of Agroindustrial Technology, Faculty of Agricultural Technology, Universitas Gadjah Mada, Indonesia
(2) Department of Agroindustrial Technology, Faculty of Agricultural Technology, Universitas Gadjah Mada, Indonesia
(*) Corresponding Author


In Indonesia, the scope of agroindustry are related to the food and non-food industry managed by Small-Medium Enterprises (SME). The classical problem of Indonesian Agroindustry were related to logistic, infrastructure, technology, high-cost economy, regulation, and financing constraint. Therefore, an innovative business model is required for competitive and sustainable SME. Importance rate of the model can be defined by determining some criteria in a business model. Analytical Network Process (ANP) is required to determine importance rate of business model. However, ANP could not minimize the subjectivity factor of the respondent in determining the criteria. Application of Conditional Probability Co-occurrences Matrix (CPCM) is required to minimize the subjectivity factor by comparing priority weight of each criterias. The research objectives are: 1) To apply ANP method for representing business model criteria and attribute of SME; 2) To apply CPCM method for criteria pattern extraction. The case study of research is SME Bakpia Tela Ungu and Telopia. CPCM Pattern extraction of Contrast, Energy and Local Homogeneity indicated the significant different of business model criteria between food, non-food agroindustry and local governmental board. The research results indicated that there were different subjectivity to determine criteria priority weight.


Contrast pattern; Energy pattern; Geometric average; Local homogenity pattern; Priority weight

Full Text:



Cevriye Gencer, and Didem Gu ̈rpinar.2007.Analytic network process in supplier selection: A case study in an electronic firm. Applied Mathematical Modelling 31 (2007) 2475–2486

Community Development Center (CDC) Telkom. 2004. Klaster UKM dalam sistem agribisnis Creative Decision Foundation, 1998. Super Decisions. ANP Team. Accessed anddownloaded at

Haralick, R. M., I. Dinstein and K. Shanmugam. 1973. Textural features for image classification. IEEE Transaction on System, Man, and Cybernetics. SMC3(6): 610-621.

Kementerian Perindustrian. 2011.Outlook Industri 2012: Strategi Percepatan dan Perluasan Agroindustri

MI, 1998. Microsoft Visual C++ Ver.6.0. In Microsoft Visual Studio Net. Microsoft Inc Japan.

Osterwalder, A. and Y. Pigneur (2003). Towards Strategy and Information Systems Alignment through a Business Model Ontology. Proceedings of the Annual Conference of the Strategic Management Society.

Saaty, TL, 1999.Fundamentals of the Analytic Network Process ,, ISAHP 1999; Kobe, Japan, August 12–14.

Ushada, M. and H. Murase. 2008. Pattern extraction from human preferences reasoning using conditional probability co-occurrences matrix of texture analysis. Engineering in Agriculture, Environment and Food. 1(2):45-50.


Article Metrics

Abstract views : 781 | views : 385


  • There are currently no refbacks.