@article{2998,
  author = {Muhammad Nasir Azis, Tb. Ai Munandar, Riyan Naufal Hay’s, Harsiti, Wahyudin, Gus Setyawan},
  title = {Regional Development Inequality Classification},
  journal = {Journal of Intelligent Computing},
  year = {2020},
  volume = {11},
  number = {2},
  doi = {https://doi.org/10.6025/jic/2020/11/2/52-62},
  url = {http://www.dline.info/jic/fulltext/v11n2/jicv11n2_2.pdf},
  abstract = {Development inequality is a situation in which there are differences in development achievements between one
region and another. There are many approaches to measure and to classify development inequality, but there is no focus on
measuring inequality based on distance between data of development achievement, such as using data of Gross Regional
Domestic Product (GRDP). This research aims to classify regional development inequality based on distance between data of
development achievement using Fuzzy-Klassen approach. Analysis data sample is GRDP of West Java in 2015 and 2016. The
result of this research shows that there are 89% of regencies/cities included in rapid-developing category (K1), 7% are in the
category of developed but depressed (K2), while 4% of them are in the category of underdeveloped regions (K4).},
}