Penerapan Algoritma Apriori Dan Algoritma Fp-Growth Dalam Menemukan Hubungan Data Nilai Ijazah Matematika dan Bahasa Inggris Dengan Nilai Mata Pelajaran Pemrograman Dan Web Programming (Studi Kasus SMK Sandikta Kelas X Bekasi)

Abstract

In comparing objects to analyze the relationship between objects, in computer technique, we can use the methods called data mining. This system is very familiar created with many steps. In this research, algoritm ways used is algoritmaprioryandalgoritm FP- Growth. To decide the relationship between scores in Math and English and the final result of programming and web programming study, we use two methods above. So, we can see the relationship between three indicators mentioned. The connection of math and programming, the highest confidence score was 54.5%. The connection between English and programming was 66.7% and the connection between English and web programming was 60%. For the result of FP-Growth Algoritm process, the high difference was seen in simpler and faster way, compared if using apriory. This is caused by the reason Algoritm FP-Growth, not all data scanned to get the score support based on frequencies from each data given.