Fuzzy-Klassen Model for Development Disparities Analysis based on Gross
  Regional Domestic Product Sector of a Region
  Analysis of regional development imbalances quadrant has a very important
meaning in order to see the extent of achievement of the development of certain
areas as well as the difference. Factors that could be used as a tool to
measure the inequality of development is to look at the average growth and
development contribution of each sector of Gross Regional Domestic Product
(GRDP) based on the analyzed region and the reference region. This study
discusses the development of a model to determine the regional development
imbalances using fuzzy approach system, and the rules of typology Klassen. The
model is then called fuzzy-Klassen. Implications Product Mamdani fuzzy system
is used in the model as an inference engine to generate output after
defuzzyfication process. Application of MATLAB is used as a tool of analysis in
this study. The test a result of Kota Cilegon is shows that there are
significant differences between traditional Klassen typology analyses with the
results of the model developed. Fuzzy model-Klassen shows GRDP sector
inequality Cilegon City is dominated by Quadrant I (K4), where status is the
sector forward and grows exponentially. While the traditional Klassen typology,
half of GRDP sector is dominated by Quadrant IV (K4) with a sector that is
lagging relative status.
