PENERAPAN METODE KNN (K-NEAREST NEIGHBOR) DALAM SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN KIP (KARTU INDONESIA PINTAR) DI DESA PANDEAN BERBASIS WEB DAN MYSQL

Abstract

The Indonesia Smart Program through KIP is a provision of educational cash assistance to all school-age children (6-21 years) and one of the national programs (listed in the 2015-2019 RPJMN) in government regulations since the end of 2014, but in carrying out the program above certainly requires a retrieval system decision. Decision support systems are a choice of various alternatives taken based on rational criteria and reasons. the purpose and purpose of the decision support system is to support decision makers determining KIP acceptance in accordance with the criteria and alternative decisions that have been determined the method used in this Decision Support System is K-Nearest Neighbor (KNN), the KNN method needs to be determined weight for each attribute, then proceed with the ranking process that will select the best alternative from a number of alternatives based on the number of closest neighbors, in this case the alternative in question is the one who is entitled to receive KIP based on the criteria determined for that solution offered in the form of decision making system receipt of KIP by using the KNN method, so as to get more accurate data results which are expected to facilitate village and community staff in Pandean Village, Paiton District.