KLASIFIKASI TINGKAT KELUARGA SEJAHTERA DENGAN MENGGUNAKAN METODE REGRESI LOGISTIK ORDINAL DAN FUZZY K-NEAREST NEIGHBOR (STUDI KASUS KABUPATEN TEMANGGUNG TAHUN 2013)

Abstract

Indonesian is one of country that have a lot of people, they are 250 millions people. Each of them has family. Family is a group of person who have relationship and responsibility for each other. The family is very important in relationship with society. There are requirements must have been in family. Ownership requirement in family can be seen by family. In this case, classification about prosperity family in Kabupaten Temanggung 2013th will be analysed. According to BKKBN, It has 5 levels of prosperity families, there are pra prosperity family, prosperity family 1, prosperity family 2, prosperity family 3, and prosperity family 3 plus. In this thesis,the classification about levels of prosperity families was analyzed by Regression Logistics Ordinal method and Fuzzy K-Nearest Neighbor (FK-NN) method.The analysis regression logistics ordinal accuracy of classification have value 81,54%, and FK-NN have value 88,37%. Both of the value accuracy of classification get conclusion that regression logistics ordinal method have a less value than FK-NN. So FK-NN method is the best method for levels of prosperity families in Kabupaten Temanggung 2013th. Keywords : Prosperity Family, Regression Logistics Ordinal, Fuzzy K-Nearest Neighbor (FK-NN)