Analisis Hibrid Korespondensi Untuk Pemetaan Persepsi

Abstract

Hybrid Correspondence is the combination of Principal Components Analysis (PCA) Biplot method and Correspondence analysis to map object, the object characteristics and category columns in one map. PCA Biplot method is used for mapping the number of acceptors and the number of births as the characteristics of the object that is mapped to the Correspondence analysis results map. Correspondence analysis method of the research is to map the districts as objects and  the level of public acceptance as the column. Results mapping of Hybrid Correspondence in this study indicate that the number of KB acceptors and the number of births from each sub district did not correlate so closely with the level of public acceptance to local government’s decision for restrict the  KB program in Malinau district. Malinau district which consists of 14 sub districts, four sub districts are received seven sub districts are refused and three sub districts are neutral.