Memonitor Kualitas Pembelajaran di Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Udayana

Controlling the quality of learning is very important and inf luences the accreditation of study programs at the Faculty of Mathematics and Natural Sciences Udayana University, as a guarantor of the quality of graduates. Apply pricipal component analysis toreduce the number of determinant attributes of learning quality, with the aim of looking at the data structure with f ewer variables. The ?2control chart is a multivariate control chart that is used to view the potrait of the quality of learning in the Mathematics and Natural Sciences Faculty, using new variables obtained f rom principal component analysis. The results obtained f rom principal component analysis show that the contribution of the learning quality indicators is univen. The potrait of the quality of learning at the Faculty of Mathematics and Natural Sciences obtained f rom the individual-moving range (I-MR) and the?2control chartshows the need f or corrective actions and monitor regularly to improve the quality of learning.