IMPLEMENTASI ALGORITMA DATA MINING NAIVE BAYES PADA KOPERASI

One of the factors of failure in the field of credit business is the lack of accurate assessment of the ability of the debtor, thus resulting in errors in credit decisions that culminate in credit congestion. Data mining techniques can be used to assess customer ability based on past data. Debtor data that has been through the stages of data mining is then processed using Naive Bayes data mining algorithm. Naive Bayes is a simple probabilistic based prediction technique based on the application of bayes rules. Implementation using Weka 3.8 with a total of 3018 records yields a truth level of 94%

ELITISME ALGORITMA GENETIKA PADA FUNGSI NONLINEAR DUA PEUBAH

The evolutionary operator in the genetic algorithm (GA) does not guarantee that the quality of individuals from generation to generation is always good. Elitism maintains the preservation of the best individual traits from generation to generation by multiplying the best set of individuals. In this paper, it is determined the number of copies that need to be done on the best individual. Tests were carried out on five nonlinear functions with two variables and the result was that the best individual multiplication was able to provide the best solution.Operator evolusi dalam algoritma genetika (AG) tidak menjamin kualitas individu dari generasi ke generasi selalu baik. Elitisme menjaga pelestarian sifat-sifat individu terbaik dari generasi ke generasi dengan cara menggandakan sekumpulan individu terbaik. Pada tulisan ini ditentukan banyaknya penggandaan yang perlu dilakukan terhadap individu terbaik. Pengujian dilakukan terhadap lima fungsi nonlinear dua peubah dan dihasilkan satu penggandaan individu terbaik mampu memberikan solusi terbaik