Pustaka Ilmiah Universitas Padjadjaran

Abstrak

Normal Multivariate Based Clustering of Regencies in East Java Province-Indonesia

One of the adverse effects of development in Indonesia is the incline of welfare inequality. Particularly in East Java Province, we can identify this condition among regencies and cities. In this thesis I intend to make clusters among the regencies with regards to their welfare indicators. This may help the government in giving development priority program among the regencies for reducing welfare inequality. I used the model-based clustering method to overcome over-lapping problem found in the welfare data. Based on the Bayesian Information Criterion, the most fitted cluster model is a three-cluster model with diagonal distributions, variable volumes, equal shapes, and coordinate axes orientations. The first cluster, the low welfare cluster, consists of twelve regencies. The second one is the middle welfare cluster consisting fifteen regencies. The third class, the high welfare cluster, has twelve regencies too. Accordingly, I suggest that the government gives priorities on the twelve low welfare regencies, particularly in clean water accessibility, literacy, child delivery helping by medical doctors, poverty elevation, sanitation, and year of schooling.