MODEL PROBIT SPASIAL PADA FAKTOR-FAKTOR YANG MEMPENGARUHI KLASIFIKASI IPM DI PULAU JAWA
ABSTRACT: Human pembagunan
Index (HDI) is a composite index that includes three basic dimensions of human
development is considered to reflect the status of the population's basic
abilities of health, educational attainment, and purchasing power. Data IPM
classified into four, namely low, lower middle, upper middle, and high.
Therefore, determining the HDI can be done with the data probit regression
approach. In the data found that there were similarities between the HDI value
of geographically adjacent regions which resulted in the classification of the
adjacent HDI same region. This is presumably due to the inter-regional
dependency. This phenomenon is suspected because of the spatial dependencies
can be described through spatial methods. From the explanation above, the HDI
of data in this study are based on the spatial probit regression method are
compared with the probit method. This study aims to assess the predictors for
estimating parameters and testing parameters were applied to the data
classification IPM in Java. MCMC is used as a method of estimating the
parameters in the assessment. While the assessment test parameters used are 25%
to 75% of the estimated parameters
Penulis: Feni Ira Puspita,
Vita Ratnasari, Purhadi
Kode Jurnal: jpmatematikadd131161
