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) 
(2) 
(*) Corresponding Author

Abstract


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.

Keywords


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

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