MODEL KLASIFIKASI BERBASIS MACHINE LEARNING UNTUK PERPANJANGAN MASA JABATAN KEPALA SEKOLAH MENGGUNAKAN ALGORITMA C4.5

The extension assessment process of the tenure’s school principal at Dinas Pendidikan Kabupaten Musi Rawas runs manually, so it takes more than 1 (one) month to get results. This study aims model a classification based on Machine Learning technique using C4.5 Decission Tree algorithm make easier for supervisors provide recommendations whether principal’s position has Extended or Not status. research design uses CRISP-DM concept which is adopted needs objectives. resulting 15 rules are used as basis forming Decision Tree. Model validation measurement was tested Confusion Matrix method and provides an accuracy 83,3%.